Google Books Scraper: Machine Learning Titles + Prices
Comparing machine learning books to buy? Get Google Books titles, list price, and rating side by side so you can spot the editions worth your money.
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How it works
- 1Open it on Apify
Hit Run on Apify — it opens the tool in the cloud, no install.
- 2Set the inputs
Adjust
source,query,maxItems(sensible defaults are pre-filled). - 3Click Run
The tool runs on Apify’s cloud and collects the data for you.
- 4Export the results
Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.
Inputs
| Field | What it does | Type |
|---|---|---|
source | Which book catalog to search. Google Books returns descriptions and prices; Open Library is purely bibliographic. Output is normalized identically for both. | string |
query | Keywords to search for, e.g. "clean code", "the hobbit", or "isbn:9780132350884". Required. | string |
maxItems | Maximum number of unique books to return. Results are paginated automatically and deduplicated by ISBN (or title + author). | integer |
notionConnector | Optional. Write each result as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless. | string |
notionParentId | Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead. | string |
What you get
A structured dataset — each result includes fields like:
authorsaverageRatingcategoriescoverImagedescriptiondetailsisbnlanguagepageCountpricepublishedDatepublisherqueryratingsCountExport every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.
More use cases for Books Scraper (Google Books + Open Library)
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