head to head · open source
Scrapegraph-ai vs socid-extractor
Scrapegraph-ai has 32,439 GitHub stars, 3,313 forks, 16 open issues and last shipped 28 days ago. socid-extractor has 1,134 stars, 127 forks, 12 open issues and last shipped 2 days ago. Scrapegraph-ai leads on adoption by 2,761% (32,439 vs 1,134 stars). Scrapegraph-ai is written in Python under MIT; socid-extractor is written in Python under MIT. Scrapegraph-ai has attracted 10% as many forks as stars, socid-extractor 11%. socid-extractor was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (data-extraction, scraping), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Scrapegraph-ai | socid-extractor | |
|---|---|---|
| GitHub stars | ★ 32K | ★ 1.1K |
| License | MIT | MIT |
| Written in | Python | Python |
| Last push | 2026-10-06 | 2026-11-01 |
| Forks | ⑂ 3.3K | ⑂ 127 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Scrapegraph-ai if
- You weight community size — 32K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick socid-extractor if
- You want the socid-extractor feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and socid-extractor fits your workflow better
About Scrapegraph-ai
🚀 Looking for an even faster and simpler way to scrape at scale (only 5 lines of code)? Check out our enhanced version at ScrapeGraphAI.com ! 🚀 🕷️ ScrapeGraphAI: You Only Scrape Once English 中文 日本語 한국어 Русский Türkçe Deutsch Español français Português Italiano ScrapeGraphAI is a web scraping python library that uses LLM and direct graph logic to create scraping pipelines for websites and local documents (XML, HTML, JSON, Markdown, etc.). Just say which information you want to extract and the library will do it for you! 🚀 Integrations ScrapeGraphAI offers seamless integration with popular frameworks and tools…
read the full Scrapegraph-ai overview →
About socid-extractor
socid extractor Turn any public profile page into a structured account record — usernames, display names, bios, avatars, locations, joined at dates, follower counts, external links, and the stable internal identifiers that uniquely pin an account across renames, redesigns, and deletions. socid extractor parses HTML pages and API responses from 250+ schemes and returns a flat, machine readable dictionary of account fields. No API keys required, no headless browser — just a single function call on response text. Why it's useful Stable cross service IDs. Get GAIA ID (Google), Facebook UID, Yandex Public ID…
read the full socid-extractor overview →
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Frequently asked questions
Is Scrapegraph-ai or socid-extractor more popular?
Scrapegraph-ai has 32,439 GitHub stars and socid-extractor has 1,134. Scrapegraph-ai has the larger community by that measure.
Are Scrapegraph-ai and socid-extractor free?
Both are open source. Scrapegraph-ai is licensed under MIT and socid-extractor under MIT. Neither carries a licence fee.
What is the difference between Scrapegraph-ai and socid-extractor?
Scrapegraph-ai is written in Python and socid-extractor in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Scrapegraph-ai or socid-extractor?
Choose Scrapegraph-ai if you want the larger community (32,439 stars) or its MIT licence terms. Choose socid-extractor if its feature set, stack or MIT licence fits better. Both are self-hostable.