Facebook Page & Group Scraper
Part of ScrapeClaw — a suite of production-ready, agentic social media scrapers for Instagram, YouTube, X/Twitter, and Facebook built with Python & Playwright, no API keys required.
A browser-based Facebook page and group discovery and scraping tool.
---
name: facebook-scraper
description: Discover and scrape Facebook pages and public groups from your browser.
emoji: 📘
version: 1.0.0
author: influenza
tags:
- facebook
- scraping
- social-media
- page-discovery
- group-discovery
- business-pages
metadata:
clawdbot:
requires:
bins:
- python3
- chromium
config:
stateDirs:
- data/output
- data/queue
- thumbnails
outputFormats:
- json
- csv
---
Overview
This skill provides a two-phase Facebook scraping system:
- Page/Group Discovery
- Browser Scraping
Features
- 🔍 - Discover Facebook pages and groups by location and category
- 🌐 - Full browser simulation for accurate scraping
- 🛡️ - Browser fingerprinting, human behavior simulation, and stealth scripts
- 📊 - Page/group info, stats, images, and engagement data
- 💾 - JSON/CSV export with downloaded thumbnails
- 🔄 - Resume interrupted scraping sessions
- ⚡ - Auto-skip private groups, low-like pages, empty profiles
- 📂 - Supports pages, groups, and public profiles via --type flag
Getting Google API Credentials (Optional)
- Go to Google Cloud Console
- Create a new project or select existing
- Enable "Custom Search API"
- Create API credentials → API Key
- Go to Programmable Search Engine
- Create a search engine with
facebook.comas the site to search - Copy the Search Engine ID
Usage
Agent Tool Interface
For OpenClaw agent integration, the skill provides JSON output:
# Discover Facebook pages (returns JSON)
discover --location "Miami" --category "restaurant" --type page --output json
# Discover Facebook groups (returns JSON)
discover --location "New York" --category "fitness" --type group --output json
# Scrape single page (returns JSON)
scrape --page-name examplebusiness --output json
# Scrape single group (returns JSON)
scrape --page-name examplegroup --type group --output json
Output Data
Page/Group Data Structure
{
"page_name": "example_business",
"display_name": "Example Business",
"entity_type": "page",
"category": "Restaurant",
"subcategory": "Italian Restaurant",
"about": "Family-owned Italian restaurant since 1985",
"followers": 45000,
"page_likes": 42000,
"location": "Miami, FL",
"address": "123 Main St, Miami, FL 33101",
"phone": "+1-555-0123",
"email": "info@example.com",
"website": "https://example.com",
"hours": "Mon-Sat 11AM-10PM",
"is_verified": false,
"page_tier": "mid",
"profile_pic_local": "thumbnails/example_business/profile_abc123.jpg",
"cover_photo_local": "thumbnails/example_business/cover_def456.jpg",
"recent_posts": [
{"post_url": "https://facebook.com/example_business/posts/123", "reactions": 320, "comments": 45, "shares": 12}
],
"scrape_timestamp": "2026-02-20T14:30:00"
}
Group Data Structure
{
"page_name": "example_group",
"display_name": "Miami Fitness Community",
"entity_type": "group",
"about": "A community for fitness enthusiasts in Miami",
"members": 15000,
"privacy": "Public",
"posts_per_day": 25,
"location": "Miami",
"page_tier": "mid",
"profile_pic_local": "thumbnails/example_group/profile_abc123.jpg",
"cover_photo_local": "thumbnails/example_group/cover_def456.jpg",
"scrape_timestamp": "2026-02-20T14:30:00"
}
Page Tiers
| Tier | Likes/Members Range |
|---|---|
| nano | < 1,000 |
| micro | 1,000 - 10,000 |
| mid | 10,000 - 100,000 |
| macro | 100,000 - 1M |
| mega | > 1,000,000 |
File Outputs
- Queue files:
data/queue/{location}_{category}_{type}_{timestamp}.json - Scraped data:
data/output/{page_name}.json - Thumbnails:
thumbnails/{page_name}/profile_*.jpg,thumbnails/{page_name}/cover_*.jpg - Export files:
data/export_{timestamp}.json,data/export_{timestamp}.csv
Configuration
Edit config/scraper_config.json:
{
"google_search": {
"enabled": true,
"api_key": "",
"search_engine_id": "",
"queries_per_location": 3
},
"scraper": {
"headless": false,
"min_likes": 1000,
"download_thumbnails": true,
"max_thumbnails": 6
},
"cities": ["New York", "Los Angeles", "Miami", "Chicago"],
"categories": ["restaurant", "retail", "fitness", "real-estate", "healthcare", "beauty"]
}
Filters Applied
The scraper automatically filters out:
- ❌ Private groups
- ❌ Pages with < 1,000 likes (configurable)
- ❌ Deactivated or removed pages
- ❌ Non-existent pages/groups
- ❌ Already scraped entries (deduplication)
Troubleshooting
Login Issues
- Ensure credentials are correct
- Handle verification codes when prompted
- Wait if rate limited (the script will auto-retry)
No Pages Discovered
- Check Google API key and quota
- Verify Search Engine ID is configured for facebook.com
- Try different location/category combinations
Rate Limiting
- Reduce scraping speed (increase delays)
- Use multiple Facebook accounts
- Run during off-peak hours
- Use a residential proxy (see below)
🌐 Residential Proxy Support
Why Use a Residential Proxy?
Running a scraper at scale without a residential proxy will get your IP blocked fast. Here's why proxies are essential for long-running scrapes:
| Advantage | Description |
|---|---|
| Avoid IP Bans | Residential IPs look like real household users, not data-center bots. Facebook is far less likely to flag them. |
| Automatic IP Rotation | Each request (or session) gets a fresh IP, so rate-limits never stack up on one address. |
| Geo-Targeting | Route traffic through a specific country/city so scraped content matches the target audience's locale. |
| Sticky Sessions | Keep the same IP for a configurable window (e.g. 10 min) — critical for maintaining a Facebook login session. |
| Higher Success Rate | Rotating residential IPs deliver 95%+ success rates compared to ~30% with data-center proxies on Facebook. |
| Long-Running Scrapes | Scrape thousands of pages/groups over hours or days without interruption. |
| Concurrent Scraping | Run multiple browser instances across different IPs simultaneously. |
Recommended Proxy Providers
We have affiliate partnerships with top residential proxy providers. Using these links supports continued development of this skill:
| Provider | Best For | Sign Up |
|---|---|---|
| Bright Data | World's largest residential network, 72M+ IPs, enterprise-grade | 👉 Sign Up for Bright Data |
| IProyal | Premium residential pool, pay-as-you-go, 195+ countries | 👉 Sign Up for IProyal |
| Storm Proxies | Fast & reliable residential IPs, developer-friendly API | 👉 Sign Up for Storm Proxies |
| NetNut | ISP-grade residential network, 52M+ IPs, direct connectivity | 👉 Sign Up for NetNut |
Setup Steps
1. Get Your Proxy Credentials
Sign up with any provider above, then grab:
- Username (from your provider dashboard)
- Password (from your provider dashboard)
- Host and Port are pre-configured per provider (or use custom)
2. Configure Entirely via Environment Variables
export PROXY_ENABLED=true
export PROXY_PROVIDER=netnut # brightdata | iproyal | stormproxies | netnut | custom
export PROXY_USERNAME=your_user
export PROXY_PASSWORD=your_pass
export PROXY_COUNTRY=us # optional: two-letter country code
export PROXY_STICKY=true # optional: keep same IP per session
3. Provider-Specific Host/Port Defaults
These are auto-configured when you set the provider name:
| Provider | Host | Port |
|---|---|---|
| Bright Data | brd.superproxy.io | 22225 |
| IProyal | proxy.iproyal.com | 12321 |
| Storm Proxies | rotating.stormproxies.com | 9999 |
| NetNut | gw-resi.netnut.io | 5959 |
Override with "host" and "port" in config or PROXY_HOST / PROXY_PORT env vars if your plan uses a different gateway.
4. Custom Proxy Provider
For any other proxy service, set provider to custom and supply host/port manually:
{
"proxy": {
"enabled": true,
"provider": "custom",
"host": "your.proxy.host",
"port": 8080,
"username": "user",
"password": "pass"
}
}
Running the Scraper with Proxy
Once configured, the scraper picks up the proxy automatically — no extra flags needed:
# Discover and scrape as usual — proxy is applied automatically
python main.py discover --location "Miami" --category "restaurant" --type page
python main.py scrape --page-name examplebusiness
# The log will confirm proxy is active:
# INFO - Proxy enabled: <ProxyManager provider=netnut enabled host=gw-resi.netnut.io:5959>
# INFO - Browser using proxy: netnut → gw-resi.netnut.io:5959
Using the Proxy Manager Programmatically
from proxy_manager import ProxyManager
# From config (auto-reads config/scraper_config.json)
pm = ProxyManager.from_config()
# From environment variables
pm = ProxyManager.from_env()
# Manual construction
pm = ProxyManager(
provider="netnut",
username="your_user",
password="your_pass",
country="us",
sticky=True
)
# For Playwright browser context
proxy = pm.get_playwright_proxy()
# → {"server": "http://gw-resi.netnut.io:5959", "username": "user-country-us-session-abc123", "password": "pass"}
# For requests / aiohttp
proxies = pm.get_requests_proxy()
# → {"http": "http://user:pass@host:port", "https": "http://user:pass@host:port"}
# Force new IP (rotates session ID)
pm.rotate_session()
# Debug info
print(pm.info())
Best Practices for Long-Running Scrapes
- Always use sticky sessions — Facebook requires consistent IPs during a login session. Set
"sticky": true. - Target the right country — Set
"country": "us"(or your target region) so Facebook serves content in the expected locale. - Combine with existing anti-detection — This scraper already has fingerprinting, stealth scripts, and human behavior simulation. The proxy is the final layer.
- Rotate sessions between accounts — Call
pm.rotate_session()when switching Facebook accounts to get a fresh IP. - Use delays — Even with proxies, respect
delay_between_profilesin config (default 5-10s) to avoid aggressive patterns. - Monitor your proxy dashboard — All providers (Bright Data, IProyal, Storm Proxies, NetNut) have dashboards showing bandwidth usage and success rates.