1545 lines
69 KiB
Python
1545 lines
69 KiB
Python
# ── Imports ──────────────────────────────────────────────────────────
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import os, json, asyncio, re, shutil, sqlite3, urllib.parse, random, logging, tempfile
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from datetime import datetime, timedelta
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from fastapi import FastAPI, Query, Body
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from fastapi.middleware.cors import CORSMiddleware
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import uvicorn
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from playwright.async_api import async_playwright
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from browser_use import Agent, Browser
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from langchain_ollama import ChatOllama
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# ── Helpers ──────────────────────────────────────────────────────────
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def make_ollama(model: str | None = None, **kwargs) -> ChatOllama:
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"""
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Create ChatOllama with required attrs for browser-use Agent compatibility.
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The browser-use Agent expects llm.name, llm.model_name, and llm.provider attrs.
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"""
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llm = ChatOllama(model=model or CLASSIFY_MODEL, **kwargs)
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object.__setattr__(llm, 'provider', 'ollama')
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object.__setattr__(llm, 'name', 'ChatOllama')
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object.__setattr__(llm, 'model_name', llm.model)
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return llm
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# ── Logging & App Setup ──────────────────────────────────────────────
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logging.basicConfig(level=logging.INFO, format='%(asctime)s [%(levelname)s] %(message)s')
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logger = logging.getLogger(__name__)
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app = FastAPI()
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["http://localhost:3006", "http://127.0.0.1:3006"],
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allow_methods=["POST"],
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allow_headers=["*"],
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)
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PORT = int(os.getenv("PORT", "3008"))
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# ── AI / Ollama Config ───────────────────────────────────────────────
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OLLAMA_URL = os.getenv("OLLAMA_URL", "http://localhost:11434")
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CLASSIFY_MODEL = os.getenv("CLASSIFY_MODEL", "dolphin-llama3:8b")
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# ── Env Vars (set via .env.local) ──────────────────────────────────────
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# These store detected browser profile paths from the setup wizard.
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FX_PROFILE = os.getenv('FX_PROFILE', '')
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CHROME_PROFILE = os.getenv('CHROME_PROFILE', '')
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OPERA_PROFILE = os.getenv('OPERA_PROFILE', '')
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EDGE_PROFILE = os.getenv('EDGE_PROFILE', '')
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# SELECTED_BROWSER determines which browser the scrape dispatcher tries first.
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# Values: "firefox", "chrome", "opera", "edge", or "" (auto-detect all).
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SELECTED_BROWSER = os.getenv('SELECTED_BROWSER', '')
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# ── Chromium Launch Args ──────────────────────────────────────────────
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# These flags reduce detectable automation signals in Chrome/Edge/Opera.
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# They disable background services, sync, updates, throttling, popups, etc.
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CHROME_LAUNCH_ARGS = [
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'--headless=new',
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'--disable-blink-features=AutomationControlled',
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'--disable-background-networking',
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'--no-first-run',
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'--disable-sync',
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'--disable-field-trial-config',
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'--disable-background-timer-throttling',
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'--disable-backgrounding-occluded-windows',
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'--disable-breakpad',
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'--disable-component-update',
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'--disable-default-apps',
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'--disable-dev-shm-usage',
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'--disable-popup-blocking',
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'--disable-prompt-on-repost',
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'--disable-renderer-backgrounding',
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'--metrics-recording-only',
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'--no-default-browser-check',
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'--disable-extensions-http-throttling',
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'--disable-hang-monitor',
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'--disable-ipc-flooding-protection',
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]
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# ── Profile Detection ────────────────────────────────────────────────
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# All find_*_profile() functions return the parent directory (User Data or equivalent),
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# NOT the "Default" subdirectory. This is important because copy_chrome_profile()
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# appends "Default" internally, so returning the full Default path would cause
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# duplicated path segments (e.g. ".../User Data/Default/Default").
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def detect_browser_from_profile(profile_path: str) -> str | None:
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"""
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Infer browser type from the profile path string.
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Checks for keywords like "firefox", "opera", "edge", "chrome" in the path.
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Returns "firefox", "chrome", "opera", "edge", or None.
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"""
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if not profile_path:
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return None
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p = profile_path.lower().replace('\\', '/')
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if 'firefox' in p or '.default' in p or '.dev-edition' in p:
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return 'firefox'
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if 'opera' in p:
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return 'opera'
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if 'edge' in p:
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return 'edge'
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if 'chrome' in p or 'chromium' in p:
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return 'chrome'
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return None
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def find_firefox_profile() -> str | None:
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"""Auto-detect Firefox profile directory cross-platform.
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Scans the Profiles dir and returns the first .default or .dev-edition folder found,
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preferring "default-release" profiles."""
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import sys
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home = os.path.expanduser("~")
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candidates = []
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if sys.platform == "win32":
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appdata = os.environ.get("APPDATA", "")
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if appdata:
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profiles_dir = os.path.join(appdata, "Mozilla", "Firefox", "Profiles")
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else:
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profiles_dir = os.path.join(home, "AppData", "Roaming", "Mozilla", "Firefox", "Profiles")
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elif sys.platform == "darwin":
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profiles_dir = os.path.join(home, "Library", "Application Support", "Firefox", "Profiles")
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else:
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profiles_dir = os.path.join(home, ".mozilla", "firefox")
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if os.path.isdir(profiles_dir):
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for entry in os.listdir(profiles_dir):
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full = os.path.join(profiles_dir, entry)
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if os.path.isdir(full) and (".default" in entry.lower() or ".dev-edition" in entry.lower()):
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candidates.append(full)
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candidates.sort(key=lambda p: "default-release" in p.lower(), reverse=True)
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if candidates:
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logger.info("Auto-detected Firefox profile: %s", candidates[0])
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return candidates[0]
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return None
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def find_chrome_profile() -> str | None:
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"""Auto-detect Chrome profile (User Data dir) cross-platform.
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Returns the User Data parent dir (NOT the Default subdirectory)."""
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import sys
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home = os.path.expanduser("~")
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if sys.platform == "win32":
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base = os.path.join(os.environ.get("LOCALAPPDATA", ""), "Google", "Chrome", "User Data")
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elif sys.platform == "darwin":
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base = os.path.join(home, "Library", "Application Support", "Google", "Chrome")
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else:
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base = os.path.join(home, ".config", "google-chrome")
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if os.path.isdir(os.path.join(base, "Default")):
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logger.info("Auto-detected Chrome profile: %s", base)
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return base
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return None
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def find_opera_profile() -> str | None:
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"""Auto-detect Opera profile directory cross-platform.
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Opera stores its profile at the "Opera Stable" level (no "User Data/Default"
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nesting like Chrome/Edge), so this returns the profile root directly."""
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import sys
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home = os.path.expanduser("~")
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if sys.platform == "win32":
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base = os.path.join(os.environ.get("APPDATA", ""), "Opera Software", "Opera Stable")
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elif sys.platform == "darwin":
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base = os.path.join(home, "Library", "Application Support", "com.operasoftware.Opera")
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else:
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base = os.path.join(home, ".config", "opera")
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if os.path.isdir(base) and os.listdir(base):
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logger.info("Auto-detected Opera profile: %s", base)
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return base
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return None
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def find_edge_profile() -> str | None:
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"""Auto-detect Edge profile (User Data dir) cross-platform.
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Returns the User Data parent dir (NOT the Default subdirectory)."""
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import sys
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home = os.path.expanduser("~")
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if sys.platform == "win32":
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base = os.path.join(os.environ.get("LOCALAPPDATA", ""), "Microsoft", "Edge", "User Data")
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elif sys.platform == "darwin":
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base = os.path.join(home, "Library", "Application Support", "Microsoft Edge")
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else:
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base = os.path.join(home, ".config", "microsoft-edge")
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if os.path.isdir(os.path.join(base, "Default")):
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logger.info("Auto-detected Edge profile: %s", base)
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return base
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return None
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# ── Profile Copying ─────────────────────────────────────────────────
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# Both functions copy essential cookies/login/storage files from the user's
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# real browser profile to a temp directory. Playwright then uses these temp
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# profiles via launch_persistent_context(), preserving Facebook login state
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# without modifying the user's actual profile.
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def copy_firefox_profile(src_path: str) -> str:
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"""Copy essential Firefox profile files (cookies, localStorage, permissions) to a temp dir for Playwright.
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Also creates a minimal profiles.ini so Firefox treats it as a valid profile."""
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essential = ['cookies.sqlite', 'webappsstore.sqlite', 'permissions.sqlite']
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dst = tempfile.mkdtemp(prefix='fb_fx_profile_')
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for f_name in essential:
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s = os.path.join(src_path, f_name)
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if os.path.exists(s):
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shutil.copy2(s, os.path.join(dst, f_name))
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with open(os.path.join(dst, 'profiles.ini'), 'w') as fh:
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fh.write("[Profile0]\nName=default\nIsRelative=0\nPath=.\nDefault=yes\n")
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logger.info("Copied Firefox profile to %s", dst)
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return dst
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def copy_chrome_profile(user_data_dir: str, profile_dir: str = 'Default') -> str:
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"""Copy Chromium-based profile (Chrome/Edge/Opera) to a temp dir.
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Copies Cookies, Login Data, Bookmarks, Web Data, Local Storage, Session Storage, and Local State.
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Args:
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user_data_dir: Parent directory (e.g. ".../Chrome/User Data")
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profile_dir: Subdirectory name, typically "Default" (default)
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"""
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essential = ['Cookies', 'Login Data', 'Bookmarks', 'Web Data']
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dst = tempfile.mkdtemp(prefix='fb_chrome_udir_')
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src_profile = os.path.join(user_data_dir, profile_dir)
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os.makedirs(dst, exist_ok=True)
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os.makedirs(os.path.join(dst, profile_dir), exist_ok=True)
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dst_profile = os.path.join(dst, profile_dir)
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for f_name in essential:
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s = os.path.join(src_profile, f_name)
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if os.path.exists(s):
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shutil.copy2(s, os.path.join(dst_profile, f_name))
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for sub in ['Local Storage', 'Session Storage']:
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s = os.path.join(src_profile, sub)
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if os.path.isdir(s):
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shutil.copytree(s, os.path.join(dst_profile, sub), dirs_exist_ok=True)
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local_state_src = os.path.join(user_data_dir, 'Local State')
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local_state_dst = os.path.join(dst, 'Local State')
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if os.path.exists(local_state_src):
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shutil.copy2(local_state_src, local_state_dst)
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logger.info("Copied Chrome profile from %s to %s", src_profile, dst)
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return dst
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def ensure_ublock_extension() -> str | None:
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"""Download and extract uBlock Origin extension for ad blocking via Chromium.
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Cached after first download to avoid re-downloading on every scrape."""
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ext_dir = os.path.join(tempfile.gettempdir(), 'fb_ublock_origin')
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manifest = os.path.join(ext_dir, 'manifest.json')
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if os.path.exists(manifest):
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return ext_dir
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import urllib.request, zipfile
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crx_url = ('https://clients2.google.com/service/update2/crx'
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'?response=redirect&prodversion=133&acceptformat=crx3'
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'&x=id%3Dddkjiahejlhfcafbddmgiahcphecmpfh%26uc')
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crx_path = os.path.join(tempfile.gettempdir(), 'ublock_origin.crx')
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try:
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if not os.path.exists(crx_path):
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logger.info("Downloading uBlock Origin extension...")
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urllib.request.urlretrieve(crx_url, crx_path)
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with zipfile.ZipFile(crx_path, 'r') as z:
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z.extractall(ext_dir)
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logger.info("uBlock Origin extension ready at %s", ext_dir)
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return ext_dir
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except Exception as e:
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logger.warning("Failed to load uBlock Origin extension: %s", e)
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return None
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# ── Agent Output Parsing ──────────────────────────────────────────────
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# When the browser-use Agent fallback is used, it returns natural language
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# output containing post listings. This function tries to extract structured
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# data from that output, first attempting JSON parsing, then falling back to
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# a line-by-line heuristic (numbered or bulleted items).
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def extract_agent_posts(agent_result: str, page_text: str) -> list[dict]:
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"""Parse posts from agent output or page text fallback."""
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posts = []
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json_match = re.search(r'\[.*?\]', agent_result, re.DOTALL)
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if json_match:
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try:
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parsed = json.loads(json_match.group())
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if isinstance(parsed, list):
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for item in parsed:
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if isinstance(item, dict) and item.get('content'):
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posts.append({
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'content': item.get('content', ''),
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'author': item.get('author', '') or item.get('publisher', '') or '',
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'url': item.get('url', ''),
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'date': item.get('date', ''),
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})
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except json.JSONDecodeError:
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pass
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if not posts:
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lines = [l.strip() for l in agent_result.split('\n') if l.strip()]
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cur = []
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for l in lines:
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if l.startswith(('1.', '2.', '3.', '4.', '5.', '6.', '7.', '8.', '9.', '- ', '* ')):
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if cur:
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combined = ' '.join(cur)
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if len(combined) > 30:
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posts.append({'content': combined[:500], 'author': '', 'url': '', 'date': ''})
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cur = []
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cur.append(l)
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if cur:
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combined = ' '.join(cur)
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if len(combined) > 30:
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posts.append({'content': combined[:500], 'author': '', 'url': '', 'date': ''})
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return posts
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# ── Keyword Filters for Lead Detection ──────────────────────────────
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# BROAD_KEYWORDS — catch any post that might relate to web development needs.
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# OFFER_PATTERNS — regex patterns matching service offers (which we ignore).
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# REQUEST_PATTERNS — regex patterns matching people asking for help/services.
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# Together these form a two-pass filter + AI classification pipeline.
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BROAD_KEYWORDS = [
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"website", "web design", "web develop", "web dev",
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"build my website", "build a website", "create a website",
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"need web", "looking for web", "new website",
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"landing page", "wordpress",
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"need a website", "my website", "business website",
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"need a designer", "help with my website",
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"redesign", "update my website",
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"looking for", "need a", "need an", "looking to",
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"help me build", "create my", "build me",
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"design my", "make me a", "would like",
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"need someone", "hire a", "looking to hire",
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"want someone", "need help with",
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]
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OFFER_PATTERNS = [
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r"\bfree\s+domain\b",
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r"\bweb\s+hosting\b",
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r"\bfree\s+website\b",
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r"\bprofessional\s+website",
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r"\baffordable\s+web\b",
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r"\bget\s+a\s+free\b",
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r"\bsee\s+more\b",
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r"\bbook\s+your\b",
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r"\bhire\s+a\s+freelancer\b",
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r"\bcontent\s+strategy\b",
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r"\bdigital\s+marketing\b",
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r"\bseo\s+service",
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r"\bsocial\s+media\b",
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r"\blimited\s+time\s+offer\b",
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r"\bspecial\s+offer\b",
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r"\bsign\s+up\s+now\b",
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r"\br\d[\d,.]",
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r"\bstarting\s+at\b",
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r"\bper\s+month\b",
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r"\bmonthly\b",
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r"\bfreelancer\s+marketplace\b",
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r"\bfirst\s+order\b",
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r"\bdomain\s+name\b",
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r"\bregister\s+your\s+domain\b",
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r"\bsponsored\b",
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r"\bpromoted\b",
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r"\badvertisement\b",
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]
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REQUEST_PATTERNS = [
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r"\bi\s+need\b",
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r"\bi\s+need\s+someone\b",
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r"\bi\s+need\s+a\b",
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r"\bi\s+need\s+an\b",
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r"\bi\s+want\b",
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r"\bi\s+would\s+like\b",
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r"\bi'm\s+looking\b",
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r"\bi\s+am\s+looking\b",
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r"\blooking\s+for\b",
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r"\blooking\s+to\b",
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r"\bwho\s+can\b",
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r"\bcan\s+someone\b",
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r"\bhelp\s+me\b",
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r"\bneed\s+help\b",
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r"\bwould\s+like\s+to\b",
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r"\bwant\s+to\b",
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r"\banyone\s+know\b",
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r"\bdoes\s+anyone\b",
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r"\brecommend\b",
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r"\bsuggestion\b",
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r"\bquote\s+(please|for|to)\b",
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]
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# ── Anti-Detection Scripts ────────────────────────────────────────────
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# These JS scripts are injected into every page via add_init_script().
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# They override navigator properties (webdriver, userAgent, plugins, etc.)
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# and WebGL/canvas/audio fingerprints to make Playwright harder to detect.
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# Firefox and Chromium variants differ slightly (e.g. Chrome needs the
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# "window.chrome" object; Firefox must NOT have it).
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def firefox_init_script() -> str:
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return r"""// Firefox Anti-Detection
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Object.defineProperty(navigator, 'webdriver', { get: () => undefined });
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Object.defineProperty(navigator, 'languages', { get: () => ['en-US', 'en'] });
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Object.defineProperty(navigator, 'platform', { get: () => 'Win32' });
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Object.defineProperty(navigator, 'hardwareConcurrency', { get: () => 8 });
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Object.defineProperty(navigator, 'maxTouchPoints', { get: () => 0 });
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Object.defineProperty(navigator, 'oscpu', { get: () => 'Windows NT 10.0; Win64; x64' });
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Object.defineProperty(navigator, 'vendor', { get: () => '' });
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Object.defineProperty(navigator, 'vendorSub', { get: () => '' });
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Object.defineProperty(navigator, 'productSub', { get: () => '20100101' });
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Object.defineProperty(navigator, 'product', { get: () => 'Gecko' });
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Object.defineProperty(navigator, 'appCodeName', { get: () => 'Mozilla' });
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Object.defineProperty(navigator, 'appName', { get: () => 'Netscape' });
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Object.defineProperty(navigator, 'appVersion', { get: () => '5.0 (Windows NT 10.0; Win64; x64; rv:130.0) Gecko/20100101 Firefox/130.0' });
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Object.defineProperty(navigator, 'userAgent', { get: () => 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:130.0) Gecko/20100101 Firefox/130.0' });
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Object.defineProperty(navigator, 'buildID', { get: () => '20250101000000' });
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if (window.chrome !== undefined) { window.chrome = undefined; }
|
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if (navigator.permissions) {
|
|
const origQ = navigator.permissions.query.bind(navigator.permissions);
|
|
navigator.permissions.query = (p) => origQ(p).then(r => (['camera','microphone','geolocation','notifications'].includes(p.name) ? Object.assign(r, { state: 'prompt' }) : r));
|
|
}
|
|
const _gEC = HTMLCanvasElement.prototype.getContext;
|
|
HTMLCanvasElement.prototype.getContext = function(t, ...a) {
|
|
const ctx = _gEC.call(this, t, ...a);
|
|
if (ctx && (t === 'webgl' || t === 'webgl2')) {
|
|
const _gP = ctx.getParameter.bind(ctx);
|
|
ctx.getParameter = function(p) { if (p===37445) return 'Intel Inc.'; if (p===37446) return 'Intel Iris OpenGL Engine'; if (p===7936||p===7937||p===35724) return ''; return _gP(p); };
|
|
const _gE = ctx.getExtension.bind(ctx);
|
|
ctx.getExtension = function(n) { if (n==='WEBGL_debug_renderer_info') return null; return _gE(n); };
|
|
}
|
|
return ctx;
|
|
};
|
|
const _tDU = HTMLCanvasElement.prototype.toDataURL;
|
|
HTMLCanvasElement.prototype.toDataURL = function(...a) {
|
|
const img = _tDU.apply(this, a);
|
|
if (img.includes('image/png') && img.length > 5000) { const n = btoa(String.fromCharCode(Math.floor(Math.random()*256))); return img.slice(0,-100)+n+img.slice(-100); }
|
|
return img;
|
|
};
|
|
const _gFD = AnalyserNode.prototype.getFloatFrequencyData;
|
|
if (_gFD) { AnalyserNode.prototype.getFloatFrequencyData = function(a) { _gFD.call(this,a); for(let i=0;i<a.length;i++) a[i]+=(Math.random()-0.5)*0.02; }; }
|
|
Object.defineProperty(screen, 'colorDepth', { get: () => 24 });
|
|
Object.defineProperty(screen, 'pixelDepth', { get: () => 24 });
|
|
Object.defineProperty(navigator, 'plugins', { get: () => [{name:'Widevine Content Decryption Module',filename:'widevinecdm.dll',length:1,description:'Enables Widevine licenses'},{name:'OpenH264 Video Codec',filename:'openh264.dll',length:1,description:'H.264 video codec'}] });
|
|
Object.defineProperty(navigator, 'mimeTypes', { get: () => [{type:'application/pdf',suffixes:'pdf',description:'Portable Document Format',enabledPlugin:navigator.plugins[0]}] });"""
|
|
|
|
|
|
def chromium_init_script() -> str:
|
|
return r"""// Enhanced Chromium Anti-Detection
|
|
Object.defineProperty(navigator, 'webdriver', { get: () => false });
|
|
Object.defineProperty(navigator, 'languages', { get: () => ['en-US', 'en'] });
|
|
Object.defineProperty(navigator, 'platform', { get: () => 'Win32' });
|
|
Object.defineProperty(navigator, 'hardwareConcurrency', { get: () => 8 });
|
|
Object.defineProperty(navigator, 'deviceMemory', { get: () => 8 });
|
|
Object.defineProperty(navigator, 'maxTouchPoints', { get: () => 0 });
|
|
Object.defineProperty(navigator, 'oscpu', { get: () => 'Windows NT 10.0; Win64; x64' });
|
|
Object.defineProperty(navigator, 'vendor', { get: () => 'Google Inc.' });
|
|
Object.defineProperty(navigator, 'vendorSub', { get: () => '' });
|
|
Object.defineProperty(navigator, 'productSub', { get: () => '20030107' });
|
|
Object.defineProperty(navigator, 'product', { get: () => 'Gecko' });
|
|
Object.defineProperty(navigator, 'appCodeName', { get: () => 'Mozilla' });
|
|
Object.defineProperty(navigator, 'appName', { get: () => 'Netscape' });
|
|
Object.defineProperty(navigator, 'appVersion', { get: () => '5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36' });
|
|
Object.defineProperty(navigator, 'userAgent', { get: () => 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36' });
|
|
window.chrome = { runtime: { onConnect: { addListener: () => {} }, onMessage: { addListener: () => {} }, sendMessage: () => {} }, app: { isInstalled: false, InstallState: { DISABLED: 'disabled', INSTALLED: 'installed', NOT_INSTALLED: 'not_installed' }, getDetails: () => null, getIsInstalled: () => false }, csi: () => {}, loadTimes: () => {} };
|
|
if (navigator.permissions) {
|
|
const origQ = navigator.permissions.query.bind(navigator.permissions);
|
|
navigator.permissions.query = (p) => origQ(p).then(r => (['camera','microphone','geolocation','notifications'].includes(p.name) ? Object.assign(r, { state: 'prompt' }) : r));
|
|
}
|
|
const _gEC = HTMLCanvasElement.prototype.getContext;
|
|
HTMLCanvasElement.prototype.getContext = function(t, ...a) {
|
|
const ctx = _gEC.call(this, t, ...a);
|
|
if (ctx && (t === 'webgl' || t === 'webgl2')) {
|
|
const _gP = ctx.getParameter.bind(ctx);
|
|
ctx.getParameter = function(p) { if (p===37445) return 'Intel Inc.'; if (p===37446) return 'Intel Iris OpenGL Engine'; if (p===7936||p===7937||p===35724) return ''; return _gP(p); };
|
|
const _gE = ctx.getExtension.bind(ctx);
|
|
ctx.getExtension = function(n) { if (n==='WEBGL_debug_renderer_info') return null; return _gE(n); };
|
|
}
|
|
return ctx;
|
|
};
|
|
const _tDU = HTMLCanvasElement.prototype.toDataURL;
|
|
HTMLCanvasElement.prototype.toDataURL = function(...a) {
|
|
const img = _tDU.apply(this, a);
|
|
if (img.includes('image/png') && img.length > 5000) { const n = btoa(String.fromCharCode(Math.floor(Math.random()*256))); return img.slice(0,-100)+n+img.slice(-100); }
|
|
return img;
|
|
};
|
|
const _gFD = AnalyserNode.prototype.getFloatFrequencyData;
|
|
if (_gFD) { AnalyserNode.prototype.getFloatFrequencyData = function(a) { _gFD.call(this,a); for(let i=0;i<a.length;i++) a[i]+=(Math.random()-0.5)*0.02; }; }
|
|
Object.defineProperty(screen, 'colorDepth', { get: () => 24 });
|
|
Object.defineProperty(screen, 'pixelDepth', { get: () => 24 });
|
|
Object.defineProperty(navigator, 'plugins', { get: () => [1,2,3,4,5].map(i => ({name:['Chrome PDF Plugin','Chrome PDF Viewer','Native Client','Widevine Content Decryption Module','Chromium PDF Viewer'][i-1],filename:'internal-pdf-viewer',length:1,description:['Portable Document Format','','Native Client Executable','Enables Widevine licenses',''][i-1]})) });
|
|
Object.defineProperty(navigator, 'mimeTypes', { get: () => [{type:'application/pdf',suffixes:'pdf',description:'Portable Document Format',enabledPlugin:navigator.plugins[0]},{type:'text/pdf',suffixes:'pdf',description:'Portable Document Format',enabledPlugin:navigator.plugins[0]}] });"""
|
|
|
|
|
|
# ── Text Classification Utilities ────────────────────────────────────
|
|
def kw_match(text: str) -> bool:
|
|
t = text.lower()
|
|
return any(kw in t for kw in BROAD_KEYWORDS)
|
|
|
|
def is_request(text: str) -> bool:
|
|
"""Detect if text contains a request for services (e.g. "I need", "looking for")."""
|
|
t = text.lower()
|
|
return any(re.search(p, t) for p in REQUEST_PATTERNS)
|
|
|
|
def is_offer(text: str) -> bool:
|
|
"""Detect if text is an offer/advertisement (we skip these, not leads)."""
|
|
t = text.lower()
|
|
return any(re.search(p, t) for p in OFFER_PATTERNS)
|
|
|
|
# ── Facebook Search Queries ───────────────────────────────────────────
|
|
# These are the search terms the scraper will use on Facebook.
|
|
# They target people looking for web development / website services.
|
|
# Each run picks 2-4 random queries to vary behavior and reduce detection.
|
|
FB_SEARCHES = [
|
|
"looking for web developer",
|
|
"need a website designed",
|
|
"need website built South Africa",
|
|
"need someone to build my website",
|
|
"need web designer",
|
|
"looking for someone to create website",
|
|
"need ecommerce website built",
|
|
"want to hire web developer",
|
|
"need wordpress website",
|
|
"I need a website for my business",
|
|
"need a site for my business",
|
|
"looking for website designer South Africa",
|
|
"need website for my small business",
|
|
"who can build me a website",
|
|
"want to create a website for my business",
|
|
"looking for affordable web design",
|
|
"need a web developer South Africa",
|
|
"help me build a website",
|
|
"need someone to design my website",
|
|
"looking for web designer near me",
|
|
"need a website for my startup",
|
|
]
|
|
|
|
VIEWPORTS = [
|
|
{'width': 1280, 'height': 800},
|
|
{'width': 1366, 'height': 768},
|
|
{'width': 1440, 'height': 900},
|
|
{'width': 1536, 'height': 864},
|
|
{'width': 1920, 'height': 1080},
|
|
]
|
|
|
|
# ── Cookie Extraction ────────────────────────────────────────────────
|
|
# Reads Facebook cookies from the browser profile's SQLite database.
|
|
# Firefox stores cookies in cookies.sqlite; Chromium stores them in Cookies
|
|
# (a SQLite DB as well). This function handles Firefox's format.
|
|
# The cookies are copied to a temp file first to avoid locking issues.
|
|
|
|
async def get_fb_cookies(profile_path: str | None = None):
|
|
cookie_db_path = profile_path or FX_PROFILE
|
|
if not cookie_db_path:
|
|
logger.warning("No profile path provided")
|
|
return []
|
|
cookie_db = os.path.join(cookie_db_path, 'cookies.sqlite')
|
|
if not os.path.exists(cookie_db):
|
|
logger.warning("Cookie DB not found at %s", cookie_db)
|
|
return []
|
|
tmp = os.path.join(os.path.dirname(cookie_db), f'cookies_tmp_{os.getpid()}.sqlite')
|
|
for attempt in range(3):
|
|
try:
|
|
shutil.copy2(cookie_db, tmp)
|
|
break
|
|
except PermissionError:
|
|
if attempt < 2:
|
|
await asyncio.sleep(0.5)
|
|
else:
|
|
logger.error("Failed to copy cookie DB after 3 attempts")
|
|
return []
|
|
try:
|
|
conn = sqlite3.connect(tmp)
|
|
c = conn.cursor()
|
|
c.execute("SELECT name, value, host, path FROM moz_cookies WHERE host LIKE '%facebook.com'")
|
|
rows = c.fetchall()
|
|
conn.close()
|
|
try:
|
|
os.remove(tmp)
|
|
except Exception:
|
|
pass
|
|
return [{
|
|
"name": name, "value": value,
|
|
"domain": host if host.startswith('.') else f'.{host}',
|
|
"path": path,
|
|
"httpOnly": True, "secure": True, "sameSite": "Lax",
|
|
} for name, value, host, path in rows]
|
|
except Exception as e:
|
|
logger.error("Cookie DB read error: %s", e)
|
|
try:
|
|
os.remove(tmp)
|
|
except Exception:
|
|
pass
|
|
return []
|
|
|
|
# ── Date Parsing ─────────────────────────────────────────────────────
|
|
# Facebook displays dates in relative format ("2h ago", "Yesterday", "Monday")
|
|
# or various absolute formats. These functions normalize them to YYYY-MM-DD.
|
|
WEEKDAY_ORDER = ['monday', 'tuesday', 'wednesday', 'thursday', 'friday', 'saturday', 'sunday']
|
|
|
|
def _parse_fb_date(block: list[str]) -> str:
|
|
for l in block:
|
|
l = l.strip()
|
|
m = re.match(r'(\d+)\s*(h|hr|hrs|hour|hours)\s*ago', l)
|
|
if m:
|
|
hours = int(m.group(1))
|
|
d = datetime.now() - timedelta(hours=hours)
|
|
return d.strftime('%Y-%m-%d')
|
|
if l.lower() == 'yesterday':
|
|
d = datetime.now() - timedelta(days=1)
|
|
return d.strftime('%Y-%m-%d')
|
|
low = l.lower()
|
|
if low in WEEKDAY_ORDER:
|
|
day_idx = WEEKDAY_ORDER.index(low)
|
|
today_idx = datetime.now().weekday()
|
|
days_ago = (today_idx - day_idx) % 7
|
|
d = datetime.now() - timedelta(days=days_ago)
|
|
return d.strftime('%Y-%m-%d')
|
|
for fmt in ['%Y-%m-%d', '%d %B %Y', '%B %d %Y', '%d %b %Y', '%b %d %Y', '%d %b', '%b %d']:
|
|
try:
|
|
dt = datetime.strptime(l, fmt)
|
|
return dt.strftime('%Y-%m-%d')
|
|
except ValueError:
|
|
pass
|
|
return datetime.now().strftime('%Y-%m-%d')
|
|
|
|
|
|
def _is_within_days(date_str: str, max_days: int = 3) -> bool:
|
|
"""Check if date is within max_days from now. Empty/unparseable = keep."""
|
|
if not date_str:
|
|
return True
|
|
try:
|
|
dt = datetime.strptime(date_str.strip(), '%Y-%m-%d')
|
|
return (datetime.now() - dt).days <= max_days
|
|
except ValueError:
|
|
return True
|
|
|
|
|
|
def _clean_fb_text(text: str) -> str:
|
|
cleaned_lines = []
|
|
for l in text.split('\n'):
|
|
stripped = l.strip()
|
|
if not stripped:
|
|
continue
|
|
if len(stripped) < 3:
|
|
continue
|
|
if all(not c.isalpha() for c in stripped):
|
|
continue
|
|
cleaned_lines.append(stripped)
|
|
return '\n'.join(cleaned_lines)
|
|
|
|
# ── Post Extraction ──────────────────────────────────────────────────
|
|
# Two strategies for extracting posts from page content:
|
|
# 1. _extract_posts_from_elements — uses structured DOM data from _get_article_elements()
|
|
# 2. _extract_posts_from_text — fallback that parses raw page text line by line
|
|
# Both apply dedup (seen_texts), offer filtering, and request scoring.
|
|
|
|
def _extract_posts_from_elements(elements: list[dict], base_url: str) -> list[dict]:
|
|
posts = []
|
|
seen_texts = set()
|
|
for el in elements:
|
|
raw_text = el.get('text', '')
|
|
if len(raw_text) < 40:
|
|
continue
|
|
text = _clean_fb_text(raw_text)
|
|
if len(text) < 40:
|
|
continue
|
|
if is_offer(text):
|
|
continue
|
|
lines = text.split('\n')
|
|
dekey = text[:80]
|
|
if dekey in seen_texts:
|
|
continue
|
|
seen_texts.add(dekey)
|
|
request_score = 2 if is_request(text) else 0
|
|
post_url = el.get('url') or base_url
|
|
|
|
# Prefer JS-extracted date, fall back to text parsing
|
|
js_date = (el.get('date') or '').strip()
|
|
if js_date:
|
|
# Try ISO datetime from <time datetime>
|
|
try:
|
|
dt = datetime.fromisoformat(js_date.replace('Z', '+00:00'))
|
|
date_str = dt.strftime('%Y-%m-%d')
|
|
except (ValueError, TypeError):
|
|
date_str = _parse_fb_date([js_date])
|
|
else:
|
|
date_str = _parse_fb_date(lines)
|
|
|
|
posts.append({
|
|
"title": text[:300],
|
|
"content": text[:1000],
|
|
"author": el.get('author', ''),
|
|
"url": post_url,
|
|
"source": "facebook",
|
|
"date": date_str,
|
|
"_score": request_score,
|
|
})
|
|
posts.sort(key=lambda p: p.get('_score', 0), reverse=True)
|
|
for p in posts:
|
|
p.pop('_score', None)
|
|
return posts
|
|
|
|
def _extract_posts_from_text(raw: str, url: str) -> list[dict]:
|
|
lines = [l.strip() for l in raw.split('\n') if l.strip() and len(l.strip()) >= 15]
|
|
posts = []
|
|
seen_texts = set()
|
|
cur = []
|
|
for l in lines:
|
|
words = re.findall(r'[A-Za-z]{2,}', l)
|
|
if len(words) < 2:
|
|
continue
|
|
lower = l.lower()
|
|
if any(kw in lower for kw in BROAD_KEYWORDS) and not is_offer(l):
|
|
if cur:
|
|
snippet = ' '.join(cur[-3:] + [l])
|
|
if len(snippet) >= 40 and not is_offer(snippet):
|
|
dekey = snippet[:80]
|
|
if dekey not in seen_texts:
|
|
seen_texts.add(dekey)
|
|
posts.append({
|
|
"title": snippet[:300],
|
|
"content": snippet[:1000],
|
|
"author": '',
|
|
"url": url,
|
|
"source": "facebook",
|
|
"date": _parse_fb_date(cur + [l]),
|
|
})
|
|
cur = []
|
|
else:
|
|
if not is_offer(l):
|
|
snippet = l
|
|
if len(snippet) >= 40:
|
|
dekey = snippet[:80]
|
|
if dekey not in seen_texts:
|
|
seen_texts.add(dekey)
|
|
posts.append({
|
|
"title": snippet[:300],
|
|
"content": snippet[:1000],
|
|
"author": '',
|
|
"url": url,
|
|
"source": "facebook",
|
|
"date": _parse_fb_date([l]),
|
|
})
|
|
cur.append(l)
|
|
if len(cur) > 10:
|
|
cur.pop(0)
|
|
return posts
|
|
|
|
# ── Human-like Behavior Simulation ──────────────────────────────────
|
|
# These functions add random delays, mouse movements, and scroll patterns
|
|
# to make automated browsing look more like a real human user.
|
|
# This is critical for avoiding Facebook's bot detection.
|
|
|
|
async def human_scroll(page, steps: int = None, total_delay: float = None):
|
|
steps = steps or random.randint(2, 5)
|
|
total_delay = total_delay or random.uniform(6, 18)
|
|
step_delay = total_delay / steps
|
|
for i in range(steps):
|
|
scroll_dist = random.randint(200, 600)
|
|
await page.evaluate(f"window.scrollBy(0, {scroll_dist})")
|
|
try:
|
|
vp = await page.evaluate('({w: window.innerWidth, h: window.innerHeight})')
|
|
x = random.randint(100, vp['w'] - 100)
|
|
y = random.randint(100, vp['h'] - 100)
|
|
await page.mouse.move(x, y, steps=random.randint(15, 35))
|
|
except Exception:
|
|
pass
|
|
await page.wait_for_timeout(int(step_delay * 1000))
|
|
if random.random() < 0.3:
|
|
await page.evaluate(f"window.scrollBy(0, -{random.randint(100, 300)})")
|
|
await page.wait_for_timeout(random.randint(1000, 3000))
|
|
|
|
async def random_idle(page):
|
|
action = random.random()
|
|
if action < 0.15:
|
|
try:
|
|
elems = await page.query_selector_all('a, span, div[role="button"]')
|
|
if elems:
|
|
el = random.choice(elems[:20])
|
|
box = await el.bounding_box()
|
|
if box:
|
|
x = box['x'] + box['width'] / 2 + random.randint(-20, 20)
|
|
y = box['y'] + box['height'] / 2 + random.randint(-10, 10)
|
|
await page.mouse.move(x, y, steps=random.randint(20, 40))
|
|
await page.wait_for_timeout(random.randint(500, 2000))
|
|
except Exception:
|
|
pass
|
|
|
|
# ── Facebook DOM Parsing ─────────────────────────────────────────────
|
|
# This JS function runs inside the page context to extract structured post
|
|
# data (text, author, URL, date) from Facebook's complex DOM structure.
|
|
# It tries multiple selectors (article, feed, etc.) and uses the first
|
|
# one that returns results, since Facebook's DOM changes frequently.
|
|
|
|
async def _get_article_elements(page) -> list[dict]:
|
|
return await page.evaluate('''() => {
|
|
const results = [];
|
|
const seenTexts = new Set();
|
|
const selectors = [
|
|
'div[role="article"]',
|
|
'div[role="feed"] > div',
|
|
'div.x1yztbdb',
|
|
'div[data-pagelet]',
|
|
];
|
|
for (const sel of selectors) {
|
|
const els = document.querySelectorAll(sel);
|
|
for (const el of els) {
|
|
const text = (el.innerText || '').trim();
|
|
if (text.length < 40) continue;
|
|
const key = text.substring(0, 80);
|
|
if (seenTexts.has(key)) continue;
|
|
seenTexts.add(key);
|
|
|
|
// --- Publisher name ---
|
|
let author = '';
|
|
const nameEl = el.querySelector('h4, strong, a[role="link"]');
|
|
if (nameEl) {
|
|
author = (nameEl.innerText || '').trim();
|
|
}
|
|
if (!author) {
|
|
const links = el.querySelectorAll('a');
|
|
for (const a of links) {
|
|
const t = (a.innerText || '').trim();
|
|
if (t && t.length > 1 && t.length < 60 && /^[A-Za-zÀ-ÿ]/.test(t) && !t.includes('facebook') && !t.includes('/')) {
|
|
author = t;
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
|
|
// --- Post URL ---
|
|
let postUrl = '';
|
|
for (const a of el.querySelectorAll('a')) {
|
|
const h = (a.getAttribute('href') || '');
|
|
if (h.includes('/posts/') || h.includes('/photo/') || h.includes('/video/') || h.includes('/groups/') || h.includes('/permalink/')) {
|
|
postUrl = h.startsWith('http') ? h : 'https://www.facebook.com' + h;
|
|
break;
|
|
}
|
|
}
|
|
|
|
// --- Date from <time datetime> ---
|
|
let date = '';
|
|
const timeEl = el.querySelector('time');
|
|
if (timeEl) {
|
|
date = timeEl.getAttribute('datetime') || timeEl.getAttribute('aria-label') || '';
|
|
}
|
|
|
|
results.push({ text, author, url: postUrl, date });
|
|
}
|
|
if (results.length > 0) break;
|
|
}
|
|
return results;
|
|
}''')
|
|
|
|
async def _ensure_page(page, context):
|
|
"""Check if the current page is still alive. If closed (e.g. by a popup),
|
|
create a fresh page and navigate to Facebook."""
|
|
try:
|
|
await page.evaluate('1')
|
|
return page
|
|
except Exception:
|
|
logger.warning("Page was closed mid-scrape, creating a fresh page")
|
|
page = await context.new_page()
|
|
try:
|
|
await page.goto('https://www.google.com/', wait_until='domcontentloaded', timeout=15000)
|
|
await page.wait_for_timeout(random.randint(1000, 3000))
|
|
except Exception:
|
|
logger.warning("Google navigation failed during page recreation")
|
|
await page.goto('https://www.facebook.com/', wait_until='domcontentloaded', timeout=30000)
|
|
await page.wait_for_timeout(random.randint(3000, 8000))
|
|
return page
|
|
|
|
|
|
# ── Facebook Search & Scrape ─────────────────────────────────────────
|
|
# Performs a Facebook search for a given query, scrolls through results,
|
|
# extracts posts, and returns them. Includes randomization of scroll behavior,
|
|
# mouse movements, and idle actions to mimic human browsing patterns.
|
|
|
|
async def search_facebook(page, context, query: str):
|
|
page = await _ensure_page(page, context)
|
|
url = f'https://www.facebook.com/search/posts/?q={urllib.parse.quote(query)}'
|
|
try:
|
|
await page.goto(url, wait_until='domcontentloaded', timeout=30000)
|
|
try:
|
|
await page.wait_for_selector('div[role="article"], div[role="feed"]', timeout=15000)
|
|
except Exception:
|
|
pass
|
|
await page.wait_for_timeout(random.randint(3000, 8000))
|
|
|
|
await human_scroll(page, steps=random.randint(2, 4), total_delay=random.uniform(6, 15))
|
|
|
|
if random.random() < 0.1:
|
|
await page.evaluate("window.scrollTo(0, document.body.scrollHeight)")
|
|
await page.wait_for_timeout(random.randint(1000, 3000))
|
|
await page.evaluate("window.scrollBy(0, -300)")
|
|
await page.wait_for_timeout(random.randint(1000, 3000))
|
|
|
|
if random.random() < 0.2:
|
|
await page.evaluate("window.scrollTo(0, 0)")
|
|
await page.wait_for_timeout(random.randint(2000, 5000))
|
|
|
|
if random.random() < 0.3:
|
|
await random_idle(page)
|
|
|
|
raw_articles = await _get_article_elements(page)
|
|
posts = _extract_posts_from_elements(raw_articles, url) if raw_articles else []
|
|
if not posts:
|
|
raw = await page.evaluate('document.body.innerText')
|
|
posts = _extract_posts_from_text(raw, url)
|
|
except Exception as e:
|
|
logger.warning("Facebook search '%s' failed: %s", query, e)
|
|
return page, []
|
|
return page, posts
|
|
|
|
# ── Detection Signals ────────────────────────────────────────────────
|
|
# Keywords/phrases in page URL or body text that indicate Facebook's
|
|
# security/bot detection systems have flagged the session.
|
|
|
|
DETECTION_SIGNALS = [
|
|
'/checkpoint/', '/login.php?', 'action=security_check',
|
|
'unusual activity', 'suspicious login', 'suspicious activity',
|
|
'temporarily blocked', 'temporarily restricted',
|
|
'confirm your identity', 'enter the code we sent',
|
|
'we noticed unusual', 'help us confirm',
|
|
'security check', 'challenge', 'please verify',
|
|
]
|
|
|
|
|
|
def check_detection_signals(page_url: str, page_text: str = '') -> str | None:
|
|
"""Check page for Facebook detection signals. Returns signal text or None."""
|
|
combined = (page_url + ' ' + page_text).lower()
|
|
for signal in DETECTION_SIGNALS:
|
|
if signal in combined:
|
|
return signal
|
|
return None
|
|
|
|
|
|
def cleanup_chrome():
|
|
"""Kill orphaned Chrome headless shell processes. These sometimes linger
|
|
after failed scrapes and interfere with subsequent runs."""
|
|
import subprocess, signal
|
|
try:
|
|
subprocess.run(["taskkill", "/F", "/IM", "chrome-headless-shell.exe"], capture_output=True, timeout=5)
|
|
except Exception:
|
|
pass
|
|
|
|
|
|
# ── Main Scrape Dispatcher ────────────────────────────────────────────
|
|
# scrape_facebook() is the main entry point. It:
|
|
# 1. Resolves the browser profile path (from SELECTED_BROWSER env var or auto-detect)
|
|
# 2. Dispatches to the correct browser-specific scraper
|
|
# 3. If the browser scrape is flagged by Facebook, falls through to the Agent fallback
|
|
#
|
|
# Priority order for browser selection:
|
|
# - SELECTED_BROWSER env var (set by setup wizard) → that browser's scraper
|
|
# - Auto-detect: Firefox → Opera → Chrome → Edge (first found wins)
|
|
# - If no profile found → Agent (browser-use + ChatOllama) fallback
|
|
|
|
async def scrape_facebook(profile_path: str | None = None, force: bool = False) -> dict:
|
|
"""Dispatcher — respect SELECTED_BROWSER, fall through on flag, then Agent."""
|
|
effective_path = profile_path or ""
|
|
browser_type = ""
|
|
|
|
# Resolve profile and browser type
|
|
if effective_path:
|
|
browser_type = detect_browser_from_profile(effective_path) or ""
|
|
elif SELECTED_BROWSER == "firefox":
|
|
effective_path = FX_PROFILE or find_firefox_profile() or ""
|
|
browser_type = "firefox"
|
|
elif SELECTED_BROWSER == "opera":
|
|
effective_path = OPERA_PROFILE or find_opera_profile() or ""
|
|
browser_type = "opera"
|
|
elif SELECTED_BROWSER == "edge":
|
|
effective_path = EDGE_PROFILE or find_edge_profile() or ""
|
|
browser_type = "edge"
|
|
elif SELECTED_BROWSER == "chrome":
|
|
effective_path = CHROME_PROFILE or find_chrome_profile() or ""
|
|
browser_type = "chrome"
|
|
else:
|
|
# Auto-detect — try all in priority order
|
|
for name, env_var, find_fn in [
|
|
("firefox", "FX_PROFILE", find_firefox_profile),
|
|
("opera", "OPERA_PROFILE", find_opera_profile),
|
|
("chrome", "CHROME_PROFILE", find_chrome_profile),
|
|
("edge", "EDGE_PROFILE", find_edge_profile),
|
|
]:
|
|
p = os.getenv(env_var, "") or find_fn() or ""
|
|
if p:
|
|
effective_path = p
|
|
browser_type = name
|
|
break
|
|
|
|
if not browser_type or not effective_path:
|
|
logger.info("No profile found — falling back to Agent")
|
|
return await _scrape_with_agent(force)
|
|
|
|
logger.info("Selected browser: %s (profile: %s)", browser_type, effective_path)
|
|
|
|
# Firefox path
|
|
if browser_type == "firefox":
|
|
result = await _scrape_with_firefox(effective_path, force)
|
|
if result.get("success") or not result.get("flagged"):
|
|
return result
|
|
logger.warning("Firefox flagged (%s), trying Agent", result.get("flag_reason", "unknown"))
|
|
return await _scrape_with_agent(force)
|
|
|
|
# Chromium-based (chrome / opera / edge)
|
|
result = await _scrape_with_chromium(effective_path, browser_type, force)
|
|
if result.get("success") or not result.get("flagged"):
|
|
return result
|
|
logger.warning("%s flagged (%s), trying Agent", browser_type, result.get("flag_reason", "unknown"))
|
|
return await _scrape_with_agent(force)
|
|
|
|
|
|
# ── Firefox Scraper ──────────────────────────────────────────────────
|
|
# Launches a headless Firefox with the user's real profile cookies (copied
|
|
# to a temp dir). Uses firefox_user_prefs to disable automation flags and
|
|
# tracking protection. Injects anti-detection script via add_init_script().
|
|
# If force=False, randomly skips 30% of runs as a decoy (looks like random
|
|
# human browsing). If flagged by Facebook, returns flagged=True for the
|
|
# dispatcher to fall through to the Agent.
|
|
|
|
async def _scrape_with_firefox(profile_path: str, force: bool) -> dict:
|
|
"""Scrape Facebook using Firefox + persistent real profile (no cookie injection)."""
|
|
if not profile_path:
|
|
return {"success": False, "leads": [], "flagged": False, "flag_reason": None, "error": "No profile path"}
|
|
|
|
profile_dir = None
|
|
try:
|
|
profile_dir = copy_firefox_profile(profile_path)
|
|
async with async_playwright() as pw:
|
|
context = await pw.firefox.launch_persistent_context(
|
|
user_data_dir=profile_dir,
|
|
headless=True,
|
|
firefox_user_prefs={
|
|
"dom.webdriver.enabled": False,
|
|
"dom.webdriver.timeout": 0,
|
|
"useAutomationExtension": False,
|
|
"privacy.trackingprotection.enabled": False,
|
|
"privacy.trackingprotection.fingerprinting.enabled": False,
|
|
"privacy.trackingprotection.cryptomining.enabled": False,
|
|
},
|
|
)
|
|
pages = context.pages
|
|
page = pages[0] if pages else await context.new_page()
|
|
await context.add_init_script(firefox_init_script())
|
|
|
|
try:
|
|
await page.goto('https://www.google.com/', wait_until='domcontentloaded', timeout=15000)
|
|
await page.wait_for_timeout(random.randint(1000, 3000))
|
|
except Exception:
|
|
logger.warning("Google navigation failed, trying Facebook directly")
|
|
|
|
await page.goto('https://www.facebook.com/', wait_until='domcontentloaded', timeout=30000)
|
|
await page.wait_for_timeout(random.randint(3000, 8000))
|
|
|
|
url = page.url
|
|
page_text = await page.evaluate('document.body.innerText') if '/login' in url.lower() else ''
|
|
det = check_detection_signals(url, page_text)
|
|
if det or '/login' in url.lower():
|
|
logger.warning("Facebook login page detected — flag: %s", det or "login_page")
|
|
await context.close()
|
|
return {"success": False, "leads": [], "flagged": True, "flag_reason": det or "login_page", "error": "Facebook login page detected"}
|
|
|
|
await human_scroll(page, steps=random.randint(2, 4), total_delay=random.uniform(8, 20))
|
|
if random.random() < 0.25:
|
|
await page.evaluate("window.scrollTo(0, 0)")
|
|
await page.wait_for_timeout(random.randint(2000, 5000))
|
|
await human_scroll(page, steps=random.randint(1, 2))
|
|
|
|
if not force and random.random() < 0.3:
|
|
await page.wait_for_timeout(random.randint(8000, 20000))
|
|
await context.close()
|
|
return {"success": True, "leads": [], "flagged": False, "flag_reason": None, "error": None}
|
|
|
|
all_posts = []
|
|
searches = random.sample(FB_SEARCHES, k=random.randint(2, 4))
|
|
for i, query in enumerate(searches):
|
|
page, posts = await search_facebook(page, context, query)
|
|
all_posts.extend(posts)
|
|
if not posts:
|
|
continue
|
|
if random.random() < 0.4:
|
|
await page.evaluate(f"window.scrollBy(0, {random.randint(-300, 300)})")
|
|
delay = random.uniform(8, 25)
|
|
await page.wait_for_timeout(int(delay * 1000))
|
|
if i == random.randint(0, 1) and random.random() < 0.15:
|
|
new_page = await context.new_page()
|
|
try:
|
|
await new_page.goto('https://www.facebook.com/groups/', wait_until='domcontentloaded', timeout=15000)
|
|
await new_page.wait_for_timeout(random.randint(3000, 8000))
|
|
except Exception:
|
|
pass
|
|
await new_page.close()
|
|
page = await _ensure_page(page, context)
|
|
|
|
if random.random() < 0.5:
|
|
await page.wait_for_timeout(random.randint(3000, 10000))
|
|
|
|
await context.close()
|
|
|
|
seen = set()
|
|
deduped = []
|
|
for p in all_posts:
|
|
key = p.get('content', '')[:100]
|
|
if key not in seen:
|
|
seen.add(key)
|
|
deduped.append(p)
|
|
|
|
# Filter to last 3 days only
|
|
deduped = [p for p in deduped if _is_within_days(p.get('date', ''), 3)]
|
|
|
|
leads = deduped[:20]
|
|
if leads:
|
|
leads = await classify_leads(leads)
|
|
|
|
return {"success": True, "leads": leads[:15], "flagged": False, "flag_reason": None, "error": None}
|
|
|
|
except Exception as e:
|
|
logger.error("Firefox scrape failed: %s", e)
|
|
return {"success": False, "leads": [], "flagged": False, "flag_reason": None, "error": str(e)}
|
|
finally:
|
|
if profile_dir and os.path.exists(profile_dir):
|
|
try:
|
|
shutil.rmtree(profile_dir, ignore_errors=True)
|
|
except Exception:
|
|
pass
|
|
|
|
|
|
# ── Chromium Scraper ─────────────────────────────────────────────────
|
|
# Generic scraper for Chrome/Edge/Opera. Uses the same structure as the
|
|
# Firefox scraper but with Chromium-specific launch config:
|
|
# - Chrome: channel="chrome"
|
|
# - Edge: channel="msedge"
|
|
# - Opera: executable_path from shutil.which("opera")
|
|
# Cookies come from copy_chrome_profile (temp copy of user's profile data).
|
|
# Anti-detection script differs slightly from Firefox variant.
|
|
# Same decoy-skip and flagged-fallback behavior as Firefox.
|
|
|
|
async def _scrape_with_chromium(profile_path: str, browser: str, force: bool = False) -> dict:
|
|
"""Scrape Facebook using a Chromium-based browser profile (Chrome/Edge/Opera)."""
|
|
if not profile_path:
|
|
return {"success": False, "leads": [], "flagged": False, "flag_reason": None, "error": "No profile path"}
|
|
|
|
channel = None
|
|
executable_path = None
|
|
if browser == "chrome":
|
|
channel = "chrome"
|
|
elif browser == "edge":
|
|
channel = "msedge"
|
|
elif browser == "opera":
|
|
executable_path = shutil.which("opera") or shutil.which("Opera")
|
|
|
|
profile_dir = None
|
|
try:
|
|
profile_dir = copy_chrome_profile(profile_path)
|
|
async with async_playwright() as pw:
|
|
launch_kwargs = dict(
|
|
user_data_dir=profile_dir,
|
|
headless=True,
|
|
args=CHROME_LAUNCH_ARGS,
|
|
)
|
|
if channel:
|
|
launch_kwargs["channel"] = channel
|
|
if executable_path:
|
|
launch_kwargs["executable_path"] = executable_path
|
|
|
|
context = await pw.chromium.launch_persistent_context(**launch_kwargs)
|
|
pages = context.pages
|
|
page = pages[0] if pages else await context.new_page()
|
|
await context.add_init_script(chromium_init_script())
|
|
|
|
try:
|
|
await page.goto('https://www.google.com/', wait_until='domcontentloaded', timeout=15000)
|
|
await page.wait_for_timeout(random.randint(1000, 3000))
|
|
except Exception:
|
|
logger.warning("Google navigation failed, trying Facebook directly")
|
|
|
|
await page.goto('https://www.facebook.com/', wait_until='domcontentloaded', timeout=30000)
|
|
await page.wait_for_timeout(random.randint(3000, 8000))
|
|
|
|
url = page.url
|
|
page_text = await page.evaluate('document.body.innerText') if '/login' in url.lower() else ''
|
|
det = check_detection_signals(url, page_text)
|
|
if det or '/login' in url.lower():
|
|
logger.warning("Facebook login page detected — flag: %s", det or "login_page")
|
|
await context.close()
|
|
return {"success": False, "leads": [], "flagged": True, "flag_reason": det or "login_page", "error": "Facebook login page detected"}
|
|
|
|
await human_scroll(page, steps=random.randint(2, 4), total_delay=random.uniform(8, 20))
|
|
if random.random() < 0.25:
|
|
await page.evaluate("window.scrollTo(0, 0)")
|
|
await page.wait_for_timeout(random.randint(2000, 5000))
|
|
await human_scroll(page, steps=random.randint(1, 2))
|
|
|
|
if not force and random.random() < 0.3:
|
|
await page.wait_for_timeout(random.randint(8000, 20000))
|
|
await context.close()
|
|
return {"success": True, "leads": [], "flagged": False, "flag_reason": None, "error": None}
|
|
|
|
all_posts = []
|
|
searches = random.sample(FB_SEARCHES, k=random.randint(2, 4))
|
|
for i, query in enumerate(searches):
|
|
page, posts = await search_facebook(page, context, query)
|
|
all_posts.extend(posts)
|
|
if not posts:
|
|
continue
|
|
if random.random() < 0.4:
|
|
await page.evaluate(f"window.scrollBy(0, {random.randint(-300, 300)})")
|
|
delay = random.uniform(8, 25)
|
|
await page.wait_for_timeout(int(delay * 1000))
|
|
if i == random.randint(0, 1) and random.random() < 0.15:
|
|
new_page = await context.new_page()
|
|
try:
|
|
await new_page.goto('https://www.facebook.com/groups/', wait_until='domcontentloaded', timeout=15000)
|
|
await new_page.wait_for_timeout(random.randint(3000, 8000))
|
|
except Exception:
|
|
pass
|
|
await new_page.close()
|
|
page = await _ensure_page(page, context)
|
|
|
|
if random.random() < 0.5:
|
|
await page.wait_for_timeout(random.randint(3000, 10000))
|
|
|
|
await context.close()
|
|
|
|
seen = set()
|
|
deduped = []
|
|
for p in all_posts:
|
|
key = p.get('content', '')[:100]
|
|
if key not in seen:
|
|
seen.add(key)
|
|
deduped.append(p)
|
|
|
|
deduped = [p for p in deduped if _is_within_days(p.get('date', ''), 3)]
|
|
leads = deduped[:20]
|
|
if leads:
|
|
leads = await classify_leads(leads)
|
|
|
|
return {"success": True, "leads": leads[:15], "flagged": False, "flag_reason": None, "error": None}
|
|
|
|
except Exception as e:
|
|
logger.error("%s scrape failed: %s", browser, e)
|
|
return {"success": False, "leads": [], "flagged": False, "flag_reason": None, "error": str(e)}
|
|
finally:
|
|
if profile_dir and os.path.exists(profile_dir):
|
|
try:
|
|
shutil.rmtree(profile_dir, ignore_errors=True)
|
|
except Exception:
|
|
pass
|
|
|
|
|
|
# ── Agent Fallback ──────────────────────────────────────────────────
|
|
# When all browser-based scrapers fail/are flagged, this fallback uses
|
|
# browser-use Agent with ChatOllama (local, free) to navigate Facebook
|
|
# autonomously via GPT-style prompting. No API keys needed.
|
|
# Uses Chromium headless with the same launch args as _scrape_with_chromium.
|
|
# The Agent is prompted to extract structured post data and return JSON.
|
|
|
|
async def _scrape_with_agent(force: bool = False) -> dict:
|
|
"""Fallback scraper — browser-use Agent + ChatOllama (free/local, Chromium)."""
|
|
cleanup_chrome()
|
|
profile_dir = None
|
|
try:
|
|
user_data_dir = None
|
|
if CHROME_PROFILE:
|
|
profile_dir = copy_chrome_profile(CHROME_PROFILE)
|
|
user_data_dir = profile_dir
|
|
|
|
browser = Browser(
|
|
headless=True,
|
|
args=CHROME_LAUNCH_ARGS,
|
|
user_data_dir=user_data_dir,
|
|
allowed_domains=["*.facebook.com", "*.messenger.com", "www.google.com"],
|
|
)
|
|
await browser.start()
|
|
|
|
all_posts = []
|
|
for query in random.sample(FB_SEARCHES, k=random.randint(2, 4)):
|
|
agent = Agent(
|
|
task=f"""You are logged into Facebook. Do the following:
|
|
1. Navigate to facebook.com and make sure you are on the homepage
|
|
2. Use the Facebook search to find: {query}
|
|
3. Scroll through the results
|
|
4. For each relevant post, extract and list:
|
|
- The publisher/author name (who posted it)
|
|
- The post text content
|
|
- The post URL (if visible)
|
|
- The post date
|
|
5. ONLY include posts from the last 3 days
|
|
6. Collect as many posts as you can (aim for 5-10 per search)
|
|
|
|
When done, return the data as a JSON list with keys: content, author, url, date.""",
|
|
llm=make_ollama(num_ctx=32000, temperature=0.3),
|
|
browser=browser,
|
|
max_actions_per_step=3,
|
|
use_vision=False,
|
|
max_failures=6,
|
|
step_timeout=180,
|
|
)
|
|
history = await agent.run()
|
|
result = history.final_result() or ""
|
|
posts = extract_agent_posts(result, "")
|
|
all_posts.extend(posts)
|
|
|
|
if random.random() < 0.3:
|
|
await asyncio.sleep(random.randint(5, 15))
|
|
|
|
await browser.close()
|
|
|
|
seen = set()
|
|
deduped = []
|
|
for p in all_posts:
|
|
key = p.get('content', '')[:100]
|
|
if key not in seen:
|
|
seen.add(key)
|
|
deduped.append(p)
|
|
|
|
# Filter to last 3 days only
|
|
deduped = [p for p in deduped if _is_within_days(p.get('date', ''), 3)]
|
|
|
|
leads = deduped[:20]
|
|
if leads:
|
|
leads = await classify_leads(leads)
|
|
|
|
return {"success": True, "leads": leads[:15], "flagged": False, "flag_reason": None, "error": None}
|
|
except Exception as e:
|
|
logger.error("Agent scrape failed: %s", e)
|
|
return {"success": False, "leads": [], "flagged": False, "flag_reason": None, "error": str(e)}
|
|
finally:
|
|
if profile_dir and os.path.isdir(profile_dir):
|
|
try:
|
|
shutil.rmtree(profile_dir, ignore_errors=True)
|
|
except Exception as e:
|
|
logger.warning("Failed to clean up Chrome profile %s: %s", profile_dir, e)
|
|
|
|
# ── AI Classification ────────────────────────────────────────────────
|
|
# Uses the local Ollama model to classify scraped posts as LEAD or NOT LEAD.
|
|
# Falls back to keyword-based filtering if the AI is unavailable.
|
|
# ask_ollama() sends a raw prompt to Ollama's /api/chat endpoint.
|
|
# classify_leads() builds a classification prompt and parses the JSON response.
|
|
|
|
async def ask_ollama(prompt: str) -> str:
|
|
import httpx
|
|
async with httpx.AsyncClient(timeout=120) as c:
|
|
r = await c.post(f"{OLLAMA_URL}/api/chat", json={
|
|
"model": CLASSIFY_MODEL,
|
|
"messages": [
|
|
{"role": "system", "content": "You classify forum posts. Return only valid JSON."},
|
|
{"role": "user", "content": prompt}
|
|
],
|
|
"stream": False,
|
|
"options": {"temperature": 0.05, "num_predict": 1024},
|
|
})
|
|
r.raise_for_status()
|
|
data = r.json()
|
|
return data["message"]["content"]
|
|
|
|
async def classify_leads(results: list[dict]) -> list[dict]:
|
|
if not results:
|
|
return []
|
|
briefs = [r["title"][:200] for r in results]
|
|
prompt = f"""Classify each post as LEAD or NOT.
|
|
LEAD = someone REQUESTING/POSTING/WANTING a website built, designed, or created for them.
|
|
LEAD examples: "Need a website for my business", "Looking for web developer to build my site", "I need someone to create my website", "Want a new website for my company", "Looking for someone to design my WordPress site"
|
|
|
|
NOT LEAD:
|
|
- Offering web design services: "I build websites", "I offer web design", "Affordable web design packages"
|
|
- Already have a website and need marketing, SEO, content, video, link building, email marketing, affiliates
|
|
- Recruiting employees, hiring staff, looking for business partners
|
|
- Selling products, promoting services, affiliate offers
|
|
- "Need web hosting", "Looking for a partner", "Looking for content writer", "Video spokesperson"
|
|
|
|
For each numbered post, answer ONLY "yes" (LEAD) or "no" (NOT LEAD):
|
|
{chr(10).join(f'{i+1}. {t}' for i, t in enumerate(briefs))}
|
|
Return a JSON array like ["yes","no","yes"] matching the order above."""
|
|
ai_succeeded = False
|
|
try:
|
|
raw = await ask_ollama(prompt)
|
|
raw = raw.strip()
|
|
if raw.startswith("```"):
|
|
first_nl = raw.find('\n')
|
|
if first_nl != -1:
|
|
raw = raw[first_nl + 1:]
|
|
if raw.endswith("```"):
|
|
raw = raw[:-3]
|
|
raw = raw.strip()
|
|
answers = json.loads(raw)
|
|
if isinstance(answers, list) and len(answers) == len(results):
|
|
ai_succeeded = True
|
|
filtered = []
|
|
for i, ans in enumerate(answers):
|
|
if isinstance(ans, str) and ans.lower() == 'yes':
|
|
filtered.append(results[i])
|
|
if filtered:
|
|
return filtered[:10]
|
|
logger.info("AI classified all %d items as NOT LEAD — returning empty", len(results))
|
|
return []
|
|
except Exception as e:
|
|
logger.warning("AI classification failed, falling back to keyword filter: %s", e)
|
|
|
|
if not ai_succeeded:
|
|
strict_keywords = [
|
|
"website", "web design", "web develop", "web dev",
|
|
"build my website", "build a website", "create a website",
|
|
"need web", "looking for web", "new website",
|
|
"landing page", "wordpress",
|
|
"need a website", "my website", "business website",
|
|
"need a designer", "help with my website",
|
|
"redesign", "update my website",
|
|
"looking for", "need a", "need an", "looking to",
|
|
"need someone", "hire a", "want someone",
|
|
"need help with", "would like", "build me",
|
|
"design my", "make me a", "create my",
|
|
]
|
|
filtered = []
|
|
for r in results:
|
|
t = r['title'].lower()
|
|
if not any(kw in t for kw in strict_keywords):
|
|
continue
|
|
if any(kw in t for kw in ['i build website', 'i offer web', 'i am a web developer',
|
|
'affordable web design package', 'web hosting']):
|
|
continue
|
|
filtered.append(r)
|
|
return filtered[:10]
|
|
return []
|
|
|
|
# ══════════════════════════════════════════════════════════════════════
|
|
# FastAPI Endpoints
|
|
# ══════════════════════════════════════════════════════════════════════
|
|
|
|
@app.get("/health")
|
|
async def health():
|
|
"""Simple health check for the splash page status polling."""
|
|
return {"status": "ok"}
|
|
|
|
def _detect_all_profiles() -> dict:
|
|
"""Return all detected browser profiles."""
|
|
return {
|
|
"firefox": FX_PROFILE or find_firefox_profile() or "",
|
|
"opera": OPERA_PROFILE or find_opera_profile() or "",
|
|
"chrome": CHROME_PROFILE or find_chrome_profile() or "",
|
|
"edge": EDGE_PROFILE or find_edge_profile() or "",
|
|
}
|
|
|
|
@app.get("/setup/profile")
|
|
async def setup_profile():
|
|
"""Auto-detect all browser profiles."""
|
|
return _detect_all_profiles()
|
|
|
|
async def _check_browser_login(profile_path: str, browser: str) -> dict:
|
|
"""Check Facebook login for a specific browser type."""
|
|
profile_dir = None
|
|
try:
|
|
if browser == "firefox":
|
|
profile_dir = copy_firefox_profile(profile_path)
|
|
async with async_playwright() as pw:
|
|
context = await pw.firefox.launch_persistent_context(
|
|
user_data_dir=profile_dir, headless=True,
|
|
firefox_user_prefs={"dom.webdriver.enabled": False},
|
|
)
|
|
page = context.pages[0] if context.pages else await context.new_page()
|
|
await page.goto("https://www.facebook.com/", wait_until="domcontentloaded", timeout=30000)
|
|
await page.wait_for_timeout(3000)
|
|
logged_in = "/login" not in page.url.lower()
|
|
await context.close()
|
|
shutil.rmtree(profile_dir, ignore_errors=True)
|
|
return {"logged_in": logged_in, "browser": browser, "path": profile_path}
|
|
else:
|
|
channel = None
|
|
exe = None
|
|
if browser == "chrome":
|
|
channel = "chrome"
|
|
elif browser == "edge":
|
|
channel = "msedge"
|
|
elif browser == "opera":
|
|
exe = shutil.which("opera") or shutil.which("Opera")
|
|
profile_dir = copy_chrome_profile(profile_path)
|
|
async with async_playwright() as pw:
|
|
kw = dict(user_data_dir=profile_dir, headless=True, args=CHROME_LAUNCH_ARGS)
|
|
if channel:
|
|
kw["channel"] = channel
|
|
if exe:
|
|
kw["executable_path"] = exe
|
|
context = await pw.chromium.launch_persistent_context(**kw)
|
|
page = context.pages[0] if context.pages else await context.new_page()
|
|
await page.goto("https://www.facebook.com/", wait_until="domcontentloaded", timeout=30000)
|
|
await page.wait_for_timeout(3000)
|
|
logged_in = "/login" not in page.url.lower()
|
|
await context.close()
|
|
shutil.rmtree(profile_dir, ignore_errors=True)
|
|
return {"logged_in": logged_in, "browser": browser, "path": profile_path}
|
|
except Exception as e:
|
|
if profile_dir:
|
|
try: shutil.rmtree(profile_dir, ignore_errors=True)
|
|
except: pass
|
|
return {"logged_in": False, "browser": browser, "path": profile_path, "error": str(e)}
|
|
|
|
@app.post("/setup/check-login")
|
|
async def setup_check_login(body: dict):
|
|
"""Check if Facebook is logged in. Accepts optional 'browser' param, tries all if not given."""
|
|
browser = (body.get("browser") or "").strip().lower()
|
|
profile_path = (body.get("profile_path") or "").strip()
|
|
|
|
if browser and profile_path:
|
|
return await _check_browser_login(profile_path, browser)
|
|
|
|
# No specific browser — try all detected
|
|
profiles = _detect_all_profiles()
|
|
priority = ["firefox", "opera", "chrome", "edge"]
|
|
for b in priority:
|
|
p = profiles.get(b, "")
|
|
if p:
|
|
result = await _check_browser_login(p, b)
|
|
if result.get("logged_in"):
|
|
return result
|
|
logger.info("%s not logged in, trying next", b)
|
|
return {"logged_in": False, "reason": "none_logged_in", "message": "No browser with Facebook login found"}
|
|
|
|
@app.post("/agent/run")
|
|
async def agent_run(task: str = Body(..., embed=True)):
|
|
"""Run a browser-use Agent with ChatOllama (free/local)."""
|
|
try:
|
|
browser = Browser(headless=True, args=CHROME_LAUNCH_ARGS)
|
|
await browser.start()
|
|
agent = Agent(
|
|
task=task,
|
|
llm=make_ollama(num_ctx=32000, temperature=0.3),
|
|
browser=browser,
|
|
use_vision=False,
|
|
max_actions_per_step=5,
|
|
max_failures=8,
|
|
step_timeout=180,
|
|
)
|
|
history = await agent.run()
|
|
await browser.close()
|
|
return {"success": True, "result": history.final_result()}
|
|
except Exception as e:
|
|
logger.error("Agent run failed: %s", e)
|
|
return {"success": False, "error": str(e)}
|
|
|
|
@app.post("/scrape/facebook")
|
|
async def scrape_facebook_endpoint(profile_path: str | None = Query(None), force: bool = Query(False)):
|
|
result = await scrape_facebook(profile_path, force)
|
|
return result
|
|
|
|
if __name__ == "__main__":
|
|
uvicorn.run(app, host="0.0.0.0", port=PORT)
|