📚 Open Library Editions Scraper

🚀 Pull physical book editions (ISBNs, publishers, page counts, formats, languages) from Open Library.

The Open Library Editions Scraper pulls physical book-edition records from the Internet Archive's Open Library catalog. While most catalog tools focus on abstract works, this Actor returns the concrete editions: each printing's ISBN-10, ISBN-13, publisher, place of publication, page count, physical format, dimensions, language, and library classifications.

Two input modes in one Actor: (1) provide a list of ISBNs and the Actor resolves each directly to a structured edition record; or (2) provide an Open Library work key and the Actor pulls every edition of that work, optionally filtered by language or publisher.

🎯 Target Audience	💡 Primary Use Cases
Library systems, publishers, booksellers, ISBN-to-book pipelines, OPAC integrations, second-hand marketplaces	Catalog enrichment, ISBN bulk lookup, publisher analysis, edition reconciliation, Library of Congress and Dewey classification join-keys

📋 What the Open Library Editions Scraper does

Five filtering workflows in a single run:

• 🆔 ISBN bulk lookup. Provide hundreds of ISBNs (ISBN-10 or ISBN-13). Each resolves to a full edition record.
• 📚 Per-work editions. Pass an OL work key (e.g. OL45804W) and pull every published edition of that work.
• 🌐 Language filter. ISO 639-2 code restricts edition results from a work.
• 🏢 Publisher filter. Substring-match on publisher to narrow a work's editions.
• 📋 Library classifications. Dewey Decimal, LC Classification, OCLC, and source records included.

💡 Why it matters: clean, server-side filtering removes the parser-and-pagination work from your team and keeps your dataset fresh on every run.

📊 Data fields

Each record includes: coverUrl, format, isbn10, isbn13, languagesText, numberOfPages, openLibraryUrl, publishDate, publishersText, subtitle, title. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Open Library Editions Scraper page on the Apify Store.
3. 🎯 Set input. Pick your filters and maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the Internet Archive, Open Library, or any contributing library or publisher. All trademarks mentioned are the property of their respective owners. Only publicly available open data is collected.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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