📚 Open Library Scraper

Collect detailed book data from Open Library without code. Search by title, author, or subject to extract publication dates, ISBNs, publishers, cover images, ratings, and more from the Internet Archive's public catalog. Perfect for librarians, researchers, and book enthusiasts who need an Open Library data scraper or download Open Library book data as CSV.

The Open Library Scraper collects comprehensive bibliographic data from Open Library's vast book database, up to 1,000,000 records per run, with full support for multiple search types and ebook filtering.

✨ What Does It Do

• 🖼️ Cover Image - Extract book cover URLs for visual display in your catalog or product database
• 📝 Title and Author - Collect complete book titles and author names for library inventories or reading lists
• 📅 Publication Date - Track when books were published to analyze trends or organize chronologically
• 📊 ISBN and Publisher - Gather ISBNs and publisher information for inventory management and ISBN lookups
• 🌍 Language and Format - Identify available languages and download formats like PDF, EPUB, and AZW3
• 📖 Page Count and Description - Retrieve full book descriptions and page counts for detailed product pages
• 🎯 Ratings and Edition Count - Access community ratings and track how many editions exist for each work
• 🔗 Download Links and Subject Tags - Get direct download links and subject classifications for content discovery

🔧 Input

• Search Query - The book search term (title, author, subject, or keyword). Leave empty if using a direct Start URL. Example: Space or science fiction
• Search Type - Choose what to search for: Books, Authors, Search Inside (full text), Subjects, or Lists. Default is Books
• Ebooks Only - Filter results to only show books available as ebooks (only works with Books search type)
• Start URL - Optional direct URL to an Open Library search page. If provided, search filters are ignored. Example: https://openlibrary.org/search?q=A+vocabulary&mode=everything
• Max Items - Maximum number of results to collect. Free users get up to 100 items, paid users can collect up to 1,000,000. Leave empty for unlimited (paid only)

{
  "searchQuery": "Space",
  "searchType": "books",
  "ebooksOnly": false,
  "maxItems": 10
}

📊 Output

Each book includes up to 20 data fields. Download as JSON, CSV, or Excel.

🖼️ Cover Image	📝 Title	👤 Author
🔗 Detail URL	📅 Publication Date	📊 Publisher
📚 ISBN	🌍 Language	📖 Page Count
📄 Description	🏷️ Subjects	🏷️ Subject Tags
🖼️ Cover Images	💾 Available Formats	🔗 Download Links
⭐ Rating	📊 Edition Count	🆔 Item ID
⏰ Scraped Date	❌ Error

💎 Why Choose the Open Library Scraper?

Feature	Our Actor	Similar Scrapers
Multiple search types (Books, Authors, Subjects, Lists)	✔️	❌
Ebook filtering and format detection	✔️	❌
Direct URL support for advanced searches	✔️	❌
Full book descriptions and cover images	✔️	Partial
Download links for multiple ebook formats	✔️	❌
Subject tags and classification data	✔️	❌
Duplicate detection and deduplication	✔️	❌
Support for up to 1,000,000 items per run	✔️	❌
Community ratings and edition count	✔️	❌
No authentication required, public data only	✔️	✔️
Export to CSV, Excel, and JSON formats	✔️	✔️

📋 How to Use

No technical skills required. Follow these simple steps:

1. Sign Up: Create a free account with $5 credit
2. Find the Tool: Search for "Open Library Scraper" in the Apify Store and configure your input
3. Run It: Click "Start" and watch your results appear

That's it. No coding, no setup, no complicated configuration. Now you can export your data in CSV, Excel, or JSON format.

🎯 Business Use Cases

• 📚 Librarian - Collect books by subject to update your catalog and identify new acquisitions for your community
• 📊 Academic Researcher - Extract publication data across multiple decades to analyze scientific publishing trends and identify landmark works
• 🛒 Book Retailer - Monitor competitor listings and collect ebook availability to update your inventory

❓ FAQ

🔍 How does it work? The actor searches the Open Library catalog and collects detailed metadata about each book, including cover images, ISBNs, authors, and ebook availability.

📊 Is the data accurate? Open Library data comes from the Internet Archive and community contributions. Most records are accurate, but some older books may have incomplete information. Verify critical data for production use.

📅 Can I schedule this to run daily? Yes. You can set up scheduled runs in the Apify dashboard to collect new books or monitor changes on any schedule you need.

⚖️ Is it legal to scrape Open Library? Yes. Open Library is a public, open-access library operated by the Internet Archive. You can freely collect and use the data for research, education, and non-commercial purposes. Always check local laws and the service's terms of use.

🛡️ Will Open Library block me? Open Library is designed for public access and does not block reasonable scraping. The actor respects rate limits and uses standard requests. No residential proxies needed.

⚡ How long does a run take? Typical runs take 30 seconds to 2 minutes for 10-100 items. Larger collections may take 5-15 minutes depending on network speed and the complexity of your search.

⚠️ Are there any limits? Free users can collect up to 100 results per run. Paid users can collect up to 1,000,000 results per run.

🔗 Integrate Open Library Scraper with any app

• Make - Automate workflows
• Zapier - Connect 5000+ apps
• GitHub - Version control integration
• Slack - Get notifications
• Airbyte - Data pipelines
• Google Drive - Export to spreadsheets

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Browse our complete collection of data extraction tools for more.

🚀 Ready to Start?

Create a free account with $5 credit and collect your first 100 results for free. No coding, no setup.

🆘 Need Help?

• Check the FAQ section above for common questions
• Visit the Apify support page for documentation and tutorials
• Contact us to request a new scraper, propose a custom project, or report an issue at Tally contact form

⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the Internet Archive, Open Library, or any of their subsidiaries. All trademarks mentioned are the property of their respective owners.