head to head · open source
Scrapegraph-ai vs brightdata-mcp
Scrapegraph-ai has 32,491 GitHub stars, 3,319 forks, 16 open issues and last shipped 1 months ago. brightdata-mcp has 2,710 stars, 337 forks, 40 open issues and last shipped yesterday. Scrapegraph-ai leads on adoption by 1,099% (32,491 vs 2,710 stars). Scrapegraph-ai is written in Python under MIT; brightdata-mcp is written in JavaScript under MIT. Scrapegraph-ai has attracted 10% as many forks as stars, brightdata-mcp 12%. brightdata-mcp was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (data-extraction, llm, 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 | brightdata-mcp | |
|---|---|---|
| GitHub stars | ★ 32K | ★ 2.7K |
| License | MIT | MIT |
| Written in | Python | JavaScript |
| Last push | 2026-10-06 | 2026-11-04 |
| Forks | ⑂ 3.3K | ⑂ 337 |
| 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 brightdata-mcp if
- You want the brightdata-mcp feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches JavaScript
- You evaluated both and brightdata-mcp 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 brightdata-mcp
Bright Data MCP Web search, page scraping, structured data extraction, and browser automation for AI agents and LLMs over the Model Context Protocol. Works with AI agents, coding agents, chat assistants, and any MCP compatible client. Quick Start • Pricing • Use Cases • Tools • Agent Skills • Docs • Support Free tier: 5,000 requests per month. No credit card required. Renews monthly. Overview The Bright Data MCP server gives AI agents real time access to public web data. It exposes 69 tools covering: Web search — Google, Bing, and Yandex results as structured data Page scraping — any URL as Markdown or HTML…
read the full brightdata-mcp overview →
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Frequently asked questions
Is Scrapegraph-ai or brightdata-mcp more popular?
Scrapegraph-ai has 32,491 GitHub stars and brightdata-mcp has 2,710. Scrapegraph-ai has the larger community by that measure.
Are Scrapegraph-ai and brightdata-mcp free?
Both are open source. Scrapegraph-ai is licensed under MIT and brightdata-mcp under MIT. Neither carries a licence fee.
What is the difference between Scrapegraph-ai and brightdata-mcp?
Scrapegraph-ai is written in Python and brightdata-mcp in JavaScript. 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 brightdata-mcp?
Choose Scrapegraph-ai if you want the larger community (32,491 stars) or its MIT licence terms. Choose brightdata-mcp if its feature set, stack or MIT licence fits better. Both are self-hostable.