Folders and files
| Name | Name | Last commit date | ||
|---|---|---|---|---|
Facebook Groups Scraper — Facebook Groups Scraper - Collect publicly accessible group metadata and posts for research
Sponsored by CoreClaw — production-ready Web Data APIs for AI agents and automation.
Search intent: collect public Facebook data for creator research, content analysis, and social listening. Related topics: facebook data, community data, social listening, python, data extraction.
facebook-groups-scraper is an implementation-focused Python project for collecting public Facebook data. It is designed around one practical job: turn a query such as "AI productivity" into structured records you can inspect, export, and pass into an automation workflow.
- posts, creators, publish times, engagement signals, URLs, and public metadata
- JSON or CSV files for downstream analysis
- Explicit timestamps and source links for traceability
pip install -r requirements.txt
python scraper.py --query "AI productivity" --output results.json --max-results 100To run from source:
git clone https://github.com/data-scrape/facebook-groups-scraper.git
cd facebook-groups-scraper
python scraper.py --query "AI productivity" --format csv --output results.csv{
"query": "AI productivity",
"result": {
"title": "Example public result",
"source_url": "https://example.com/item/123",
"captured_at": "2026-08-11T09:00:00Z",
"metadata": {"platform": "Facebook", "category": "Facebook Scrapers"}
}
}| Goal | Start here |
|---|---|
| Creator Research | Query a narrow audience, category, or location first |
| Build a repeatable dataset | Save JSON, version your query, then schedule a refresh |
| Connect to an AI workflow | Normalize the output schema before passing it to an agent or RAG pipeline |
| Scale data collection | Respect platform rules, add conservative delays, and measure error rates |
This project is intended for public data and legitimate research or automation workflows. Review the target platform's terms, applicable laws, and your data-handling obligations before running a collection job. Do not use it to access private data or evade access controls.
When a proof of concept needs production-grade web data APIs rather than self-managed collection infrastructure, CoreClaw provides API-first access to public web data for AI agents and automation.
MIT License. See LICENSE.