head to head · open source

Scrapegraph-ai vs pdf_oxide

Scrapegraph-ai has 32,439 GitHub stars, 3,313 forks, 16 open issues and last shipped 28 days ago. pdf_oxide has 1,156 stars, 147 forks, 322 open issues and last shipped 3 days ago. Scrapegraph-ai leads on adoption by 2,706% (32,439 vs 1,156 stars). Scrapegraph-ai is written in Python under MIT; pdf_oxide is written in Rust under Apache-2.0. Scrapegraph-ai has attracted 10% as many forks as stars, pdf_oxide 13%. pdf_oxide 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, markdown), 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.

Scrapegraph-ai ★ 32K pdf_oxide ★ 1.2K category Data & Analytics

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Side by side

Scrapegraph-ai pdf_oxide
GitHub stars ★ 32K ★ 1.2K
License MIT Apache-2.0
Written in Python Rust
Last push 2026-10-06 2026-10-31
Forks ⑂ 3.3K ⑂ 147
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

full Scrapegraph-ai profile →

pick pdf_oxide if

  • You want the pdf_oxide feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Rust
  • You evaluated both and pdf_oxide fits your workflow better

full pdf_oxide profile →

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…

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About pdf_oxide

PDFOxide The Fastest PDF Toolkit for 20 Languages — Python, Rust, Go, JS/TS, C , Java, Kotlin, Swift, C++ & more, plus CLI & AI New in v0.3.69 — eleven new language bindings. PDFOxide now ships idiomatic bindings for C++, Swift, Kotlin, Dart, R, Julia, Zig, Scala, Clojure, Objective C, and Elixir , each built over the stable C ABI with its own CI workflow, api coverage tests, and runnable examples. That brings the toolkit to 20 languages (Rust core + 19 bindings). Want another language? Open an issue and tell us. The fastest PDF library for text extraction, image extraction, and markdown conversion. A Rust core…

read the full pdf_oxide overview →

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Frequently asked questions

Is Scrapegraph-ai or pdf_oxide more popular?

Scrapegraph-ai has 32,439 GitHub stars and pdf_oxide has 1,156. Scrapegraph-ai has the larger community by that measure.

Are Scrapegraph-ai and pdf_oxide free?

Both are open source. Scrapegraph-ai is licensed under MIT and pdf_oxide under Apache-2.0. Neither carries a licence fee.

What is the difference between Scrapegraph-ai and pdf_oxide?

Scrapegraph-ai is written in Python and pdf_oxide in Rust. 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 pdf_oxide?

Choose Scrapegraph-ai if you want the larger community (32,439 stars) or its MIT licence terms. Choose pdf_oxide if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.