# 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.

- Canonical: https://extractfeed.io/story/scrapfly-publishes-practical-guide-to-scraping-goodreads-wit-c5a54fd/
- JSON: https://extractfeed.io/api/v1/stories/scrapfly-publishes-practical-guide-to-scraping-goodreads-wit-c5a54fd.json
- Beat: Extraction & Parsing · Evidence: Primary source · Type/significance: analysis/2 · First seen: 2026-09-30T00:42:17.483419+00:00 · Updated: 2026-09-30T00:42:17.483419+00:00 · Edition: 2026-11-05
- Framing: model-written (headline, standfirst, why it matters, tags); source facts deterministic

## 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](https://scrapfly.io/blog/posts/how-to-scrape-goodreads)

## 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

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