head to head · open source
Scrapegraph-ai vs brightdata-mcp
Scrapegraph-ai has 31,140 GitHub stars, 3,141 forks, 16 open issues and last shipped 13 days ago. brightdata-mcp has 2,654 stars, 329 forks, 40 open issues and last shipped 3 days ago. Scrapegraph-ai leads on adoption by 1,073% (31,140 vs 2,654 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 | ★ 31K | ★ 2.7K |
| License | MIT | MIT |
| Written in | Python | JavaScript |
| Last push | 2026-09-07 | 2026-09-17 |
| Forks | ⑂ 3.1K | ⑂ 329 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Scrapegraph-ai if
- You weight community size — 31K 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
ScrapeGraphAI is an open source Python library for web scraping that combines large language models with direct graph logic to build scraping pipelines. It lives in the Python ecosystem and is distributed under the MIT license, with the reference package published on PyPI as scrapegraphai . Rather than requiring a developer to hand write selectors for every page, the library accepts a natural language prompt describing the information to extract, alongside a source URL or local document, and returns structured results. It is designed around the idea expressed in its own tagline, "You Only Scrape Once," meaning th…
read the full Scrapegraph-ai overview →
About brightdata-mcp
brightdata mcp is a Model Context Protocol server in JavaScript under the MIT license. It exposes web search, page scraping, structured data extraction, browser automation, LLM response collection, and package registry data to AI agents, coding agents, chat assistants, and other MCP compatible clients. It lives in the MCP ecosystem.
read the full brightdata-mcp overview →
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Frequently asked questions
Is Scrapegraph-ai or brightdata-mcp more popular?
Scrapegraph-ai has 31,140 GitHub stars and brightdata-mcp has 2,654. 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 (31,140 stars) or its MIT licence terms. Choose brightdata-mcp if its feature set, stack or MIT licence fits better. Both are self-hostable.