Book Market Intelligence
Pricing
Pay per usage
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Book Market Intelligence
Enrich book titles, ISBNs, authors, ratings, review counts, genres, covers, and source URLs across Google Books, Open Library, Goodreads URLs, and web fallbacks.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
scraping automation
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
13 hours ago
Last modified
Categories
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Analyze books, authors, genres, ratings, reviews, and source evidence for publishing and market research.
Who this is for
- Publishers and acquisition teams
- Book marketing teams
- Researchers comparing authors or categories
What it helps you do
- Enrich book and ISBN lists with market signals
- Compare ratings, reviews, genres, and author metadata
- Prepare book datasets for dashboards or editorial research
Inputs you can use
- Book titles, authors, ISBNs, or source URLs
- Maximum books
- Discovery settings
Data you get
- title
- author
- ISBN
- rating
- review count
- genre
- publisher
- publication date
- source evidence
How to get better results
- Start with a narrow, specific query or a small list of source URLs.
- Use realistic limits for the first run, then increase the volume once the output looks right.
- Keep source URLs, dates, and location context when you need repeatable market monitoring.
- Review a few sample records before connecting the dataset to a larger workflow.
Notes
- Results depend on what the public source exposes at run time.
- Some pages may hide, delay, rename, or remove fields, so individual records can have partial data.
- Use the built-in output table to inspect results before exporting to spreadsheets, dashboards, or automation tools.
Support
If a run returns unexpected data, open an issue from the Actor page with the input used, the run ID, and the result you expected.
