Scrapfly publishes practical guide to scraping Goodreads with Python

Scrapfly released a tutorial covering techniques for extracting book data, ratings, and reviews from Goodreads using JSON-LD, Next.js Apollo state, and CSS selectors.

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Briefing

Scrapfly: Scrapfly released a tutorial covering techniques for extracting book data, ratings, and reviews from Goodreads using JSON-LD, Next.js Apollo state, and CSS selectors.

Why it matters

Goodreads is a notoriously difficult target for scraping due to its heavy JavaScript rendering and dynamic data loading. This guide provides a structured approach that balances reliability and performance, which is valuable for anyone building book-related datasets or recommendation systems. The focus on multiple fallback strategies reflects the reality of scraping modern single-page applications.

Sources

Primary source · Scrapfly · 2026-09-29 — How to Scrape Goodreads for Book Data, Ratings, and Reviews

Watch next

Will Scrapfly maintain this guide as Goodreads updates its frontend architecture?

Topics: Scrapfly, Goodreads, goodreads, python, json-ld, nextjs, css-selectors, web-scraping