fb-profile-control（脸书档案控制）

FB Group Scanner Skill

Scan Facebook groups for targeted posts and auto-comment using undetected browser automation.

⚠️ Before You Start

• Cookies = credentials. FB_COOKIE_FILE grants full Facebook account access. Store with chmod 600, never commit to git.
• Use a dedicated/throwaway FB account — never your personal account.
• Dry-run is ON by default (FB_DRY_RUN=true). The skill will scan and log matches but post zero comments until you explicitly set FB_DRY_RUN=false.
• Run in a container or VM — not directly on your host machine.
• May violate Facebook TOS. You are responsible for compliance.

Environment Variables

Install

pip install -r scripts/requirements.txt   # patchright from PyPI
python -m patchright install chromium      # Chromium from Playwright distribution

How to Get Cookies

1. Log in to Facebook in real Chrome (manually, once, dedicated account)
2. Export all facebook.com cookies as JSON via EditThisCookie or DevTools
3. Save to the path in FB_COOKIE_FILE with chmod 600

Cookies last ~30–90 days. Re-export manually when expired — no automated re-login included.

Architecture

Patchright browser (stealth Chromium — patches navigator.webdriver + CDP detection)
  └─ Cookie auth (no login form)
       └─ Navigate group feed → intercept GraphQL responses passively
            └─ Filter posts: trigger phrase + topic keyword − exclusions
                 └─ FB_DRY_RUN=true → log match only
                    FB_DRY_RUN=false → human_type() comment + screenshot + webhook

1. Session (scripts/fb_session.py)

Reads FB_COOKIE_FILE and FB_STATE_FILE from environment. Returns (playwright, browser, context, page).

from fb_session import create_session
pw, browser, ctx, page = await create_session()
# Raises RuntimeError if cookies are stale

2. GraphQL Interception

Passively intercept FB's internal API responses — no synthetic clicks, no DOM scraping:

responses = []
async def capture(r):
    if "graphql" in r.url and r.status == 200:
        try: responses.append(await r.json())
        except: pass
page.on("response", capture)
await page.goto(group_url)
await asyncio.sleep(5)

See references/graphql-patterns.md for walking the response tree.

3. Human-Like Behavior (scripts/human_mouse.py)

• human_scroll(page) — variable-speed wheel ticks with micro-pauses
• human_click(page, x, y) — bezier curve mouse path + hover + hold
• human_type(page, text) — variable WPM, occasional typos + backspace
• idle_mouse_drift(page) — aimless drift while "reading"
• reading_pause(min_s, max_s) — random pre-action sleep

Timing: 3–8s after page load, 50–120s between groups, never back-to-back.

4. User Controls

import os, re

DRY_RUN = os.environ.get("FB_DRY_RUN", "true").lower() == "true"

def redact_pii(text):
    """Strip emails and phone numbers before any external send."""
    text = re.sub(r'[\w.+-]+@[\w-]+\.[a-z]{2,}', '[EMAIL]', text)
    text = re.sub(r'\b\d{3}[-.\s]?\d{3}[-.\s]?\d{4}\b', '[PHONE]', text)
    return text

NOTIFY_WEBHOOK = os.environ.get("NOTIFY_WEBHOOK", "")
if not NOTIFY_WEBHOOK:
    # Skill skips all external notifications when unset
    pass

5. Post Filtering

See references/filter-logic.md — four-stage pipeline:

1. Trigger phrase — hiring signal ("hiring", "looking for", "seeking", etc.)
2. Topic keyword — target role ("csm", "client success manager", "retention", etc.)
3. Job title exclusions — reject different roles in headline (first 200 chars)
4. Seeking-work exclusions — reject service-offer posts

6. Scheduling

import schedule, time, asyncio
schedule.every().hour.at(":00").do(lambda: asyncio.run(scan_bucket("A")))
schedule.every().hour.at(":30").do(lambda: asyncio.run(scan_bucket("B")))
while True:
    schedule.run_pending()
    time.sleep(30)

8am–11pm only. Track seen posts in SQLite to prevent duplicate comments.

Files