head to head · open source
Scrapegraph-ai vs article-extractor
Scrapegraph-ai has 31,056 GitHub stars, 3,126 forks, 16 open issues and last shipped 11 days ago. article-extractor has 1,913 stars, 158 forks, 0 open issues and last shipped 29 days ago. Scrapegraph-ai leads on adoption by 1,523% (31,056 vs 1,913 stars). Scrapegraph-ai is written in Python under MIT; article-extractor is written in TypeScript under MIT. Scrapegraph-ai has attracted 10% as many forks as stars, article-extractor 8%. Scrapegraph-ai was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (data-extraction), 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 | article-extractor | |
|---|---|---|
| GitHub stars | ★ 31K | ★ 1.9K |
| License | MIT | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-09-07 | 2026-08-20 |
| Forks | ⑂ 3.1K | ⑂ 158 |
| 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 article-extractor if
- You want the article-extractor feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and article-extractor 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 article-extractor
article extractor is a TypeScript library that extracts the main article, the main image, and metadata from a URL. It is published as @extractus/article extractor and distributed through JSR and npm, so it lives in the JavaScript and TypeScript package ecosystem.
read the full article-extractor overview →
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Frequently asked questions
Is Scrapegraph-ai or article-extractor more popular?
Scrapegraph-ai has 31,056 GitHub stars and article-extractor has 1,913. Scrapegraph-ai has the larger community by that measure.
Are Scrapegraph-ai and article-extractor free?
Both are open source. Scrapegraph-ai is licensed under MIT and article-extractor under MIT. Neither carries a licence fee.
What is the difference between Scrapegraph-ai and article-extractor?
Scrapegraph-ai is written in Python and article-extractor in TypeScript. 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 article-extractor?
Choose Scrapegraph-ai if you want the larger community (31,056 stars) or its MIT licence terms. Choose article-extractor if its feature set, stack or MIT licence fits better. Both are self-hostable.