Pricing

Pay per event

Open Library ISBN Book Metadata Scraper

Bulk-enrich ISBNs with full Open Library metadata: title, authors, publishers, subjects, ratings, reading-status counts, and cross-reference identifiers (Goodreads, LibraryThing, LCCN, OCLC, Wikidata). Accepts up to thousands of ISBNs in a single run.

Pricing

Pay per event

Rating

0.0

(0)

Developer

BowTiedRaccoon

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

What You Get

Each output record includes:

Field	Description
`isbn_input`	The ISBN you provided
`isbn_10` / `isbn_13`	Normalized edition identifiers
`work_key`	Open Library work key (e.g. `/works/OL45804W`)
`title` / `subtitle`	Book title and subtitle
`authors`	Pipe-separated author names
`author_keys`	Pipe-separated Open Library author OLIDs
`publishers`	Up to 10 publisher names, pipe-separated
`publish_date`	Edition publication date
`number_of_pages`	Median page count across editions
`subjects`	Full subject heading list, pipe-separated
`description`	Work description / summary
`first_sentence`	Opening sentence of the work
`cover_url_small/medium/large`	Direct cover image URLs (S/M/L sizes)
`languages`	Language codes, pipe-separated (e.g. `eng
`edition_count`	Total number of known editions
`first_publish_year`	Year of first publication
`ratings_average`	Average reader rating (0-5)
`ratings_count`	Number of ratings
`want_to_read_count`	Users who want to read this book
`currently_reading_count`	Users currently reading
`already_read_count`	Users who have finished the book
`id_goodreads`	Goodreads ID(s), pipe-separated
`id_librarything`	LibraryThing ID(s), pipe-separated
`id_lccn`	Library of Congress Control Number(s)
`id_oclc`	OCLC/WorldCat number(s)
`open_library_url`	Direct link to the work on Open Library

Use Cases

Catalog enrichment - add cover art, descriptions, and subject tags to an existing book database
RAG / LLM pipelines - bulk-enrich a reading list with structured metadata for retrieval-augmented generation
Library tech - match ISBNs to LCCN/OCLC/Goodreads identifiers for cross-system deduplication
Book recommendation systems - pull ratings, reading-status counts, and subject headings at scale
Research - build datasets from ISBN lists for book market or publishing research

Input

{
  "isbns": [
    "9780140328721",
    "9780385121675",
    "0062316095"
  ],
  "maxItems": 0
}

Field	Type	Description
`isbns`	array (required)	List of ISBN-10 or ISBN-13 strings. Hyphens are stripped automatically. Mixed formats accepted.
`maxItems`	integer	Maximum records to return. Set to `0` (default) for no limit.

How It Works

The actor calls the Open Library search.json API - one request per ISBN - and extracts the top-ranked work match. Cover image URLs are composed directly from the ISBN using the Open Library Covers API (no extra HTTP call). Requests are rate-limited to approximately 1 per second to respect Open Library's guidelines.

No authentication, no API key, and no proxy are required.

Data Source

Open Library (openlibrary.org) is an open, editable library catalog, part of the Internet Archive. It covers approximately 40 million editions and 30 million works. Open Library data is released under CC0 1.0 Universal - free to use, share, and adapt for any purpose.

Notes

Results represent the best work-level match for each ISBN. Ratings and reading-status counts are aggregated at the work level across all editions.
Some fields (description, first_sentence, subtitle) may be absent for less-documented books.
id_goodreads and id_librarything may contain multiple IDs (one per edition) - deduplicated and pipe-separated.
For very large ISBN lists (10,000+), use maxItems to chunk runs or set a generous timeout in run options.

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