head to head · open source
Scrapegraph-ai vs pdf_oxide
Scrapegraph-ai has 31,056 GitHub stars, 3,126 forks, 16 open issues and last shipped 11 days ago. pdf_oxide has 1,033 stars, 129 forks, 322 open issues and last shipped yesterday. Scrapegraph-ai leads on adoption by 2,906% (31,056 vs 1,033 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 12%. 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.
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Side by side
| Scrapegraph-ai | pdf_oxide | |
|---|---|---|
| GitHub stars | ★ 31K | ★ 1.0K |
| License | MIT | Apache-2.0 |
| Written in | Python | Rust |
| Last push | 2026-09-07 | 2026-09-17 |
| Forks | ⑂ 3.1K | ⑂ 129 |
| 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 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
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 pdf_oxide
PDFOxide is a Rust core PDF toolkit with bindings for nineteen additional languages, plus a command line tool and an MCP server, aimed at developers and data teams that need fast, permissively licensed text extraction, image extraction, markdown conversion, and PDF creation and editing.
read the full pdf_oxide overview →
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Frequently asked questions
Is Scrapegraph-ai or pdf_oxide more popular?
Scrapegraph-ai has 31,056 GitHub stars and pdf_oxide has 1,033. 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 (31,056 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.