Goodreads Scraper

Extract book data from Goodreads. Titles, authors, ratings, reviews, genres, ISBN — in clean JSON, without writing a single line of code.

Point it at a book URL or author page. It does the rest.

What you get

18 fields per book record. Not estimated fields — actual verified output from the live site.

Field	Type	Description
url	string	Canonical Goodreads book URL
goodreads_id	string	Numeric Goodreads book ID
title	string	Book title
authors	string	Author name(s), comma-separated
rating	number	Average star rating (e.g. 4.31)
rating_count	integer	Total number of ratings
review_count	integer	Total number of text reviews
isbn	string	ISBN-13
genres	string	Genres, comma-separated
description	string	Full book synopsis
pages	integer	Page count
book_format	string	Format (Hardcover, Paperback, etc.)
language	string	Primary language
published_date	string	First publication date
awards	string	Notable awards, comma-separated
cover_image	string	Cover image URL
series	string	Series name and number, if applicable
scraped_at	string	ISO timestamp of extraction

How to use it

1. Add book or author URLs

Go to any Goodreads book page and copy the URL:

https://www.goodreads.com/book/show/375802.Of_Mice_and_Men

Or use an author page to collect all the books on that author's profile:

https://www.goodreads.com/author/show/589.Orson_Scott_Card

2. Set an optional limit

Leave Max Items blank to scrape everything. Set it to a specific number to cap the run.

3. Run and download

Results land in the dataset. Export as JSON, CSV, or JSONL.

Data source notes

Data comes from structured metadata embedded in each book page — not fragile screen scraping. The scraper reads schema.org/Book JSON-LD for core fields (title, ISBN, rating, format, language, awards) and supplements with targeted CSS selectors for descriptions and genres.

No proxy required. No Cloudflare bypass required. The site serves full HTML to a standard Chrome fingerprint.

Input configuration

Parameter	Type	Required	Description
startUrls	array	Yes	Goodreads book or author page URLs to scrape
maxItems	integer	No	Maximum number of books to return. Leave blank for no cap.

Use cases

• Book research — collect metadata on reading lists, award winners, genre catalogues
• Ratings analysis — benchmark a book's reception against competitors or comparable titles
• Publishing intelligence — track how an author's catalog performs across formats and editions
• Recommendation systems — seed training data with structured book metadata, genres, and ratings
• Personal use — export your reading list's data for use in spreadsheets or Notion

Pricing

Pay-per-event. Each book record counts as one billable event. The start fee covers infrastructure.

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