head to head · open source
Scrapegraph-ai vs article-extractor
Scrapegraph-ai has 32,439 GitHub stars, 3,313 forks, 16 open issues and last shipped 28 days ago. article-extractor has 1,913 stars, 157 forks, 0 open issues and last shipped 3 months ago. Scrapegraph-ai leads on adoption by 1,596% (32,439 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 | ★ 32K | ★ 1.9K |
| License | MIT | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-10-06 | 2026-08-20 |
| Forks | ⑂ 3.3K | ⑂ 157 |
| 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 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
🚀 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 article-extractor
@extractus/article extractor Extract main article, main image and meta data from URL. Install Deno Node.js / Bun Alternatively, install from npm: Usage APIs extract() extractFromHtml() Transformations Transformation object addTransformations() removeTransformations() Priority order Content sanitization options extract() Load and extract article data from a URL or HTML string. Syntax Example: The result can be null (when no article found) or an ArticleData object: Parameters input required URL string or raw HTML content. parserOptions optional fetcher optional A custom fetch function with the signature (url…
read the full article-extractor overview →
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Frequently asked questions
Is Scrapegraph-ai or article-extractor more popular?
Scrapegraph-ai has 32,439 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 (32,439 stars) or its MIT licence terms. Choose article-extractor if its feature set, stack or MIT licence fits better. Both are self-hostable.