Goodreads — Book Data Extraction

Extract and normalize book data from Goodreads HTML pages.

9|Updated Apr 23, 2026

Search Tags:#data-extraction #web-scraping #schema.org #goodreads #html-parsing #open-library

Ready to run

npx skills add https://github.com/yangchuansheng/browser-harness-rust --skill goodreads-book-data-extraction

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Goodreads — Book Data Extraction
Source: https://github.com/yangchuansheng/browser-harness-rust/tree/main/domains/goodreads
Command: npx skills add https://github.com/yangchuansheng/browser-harness-rust --skill goodreads-book-data-extraction

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Extracting structured data from Goodreads pages when a public API is unavailable or unreliable, enabling downstream analytics and inventory tasks.

Core Features & Use Cases

HTML scraping of Book, Author, and Listopia pages from Goodreads with robust selectors.
Structured data extraction including titles, authors, ratings, counts, and metadata from multiple URL types.
Use Case: Automate enrichment of a reading list by compiling titles, authors, ratings, and genres.

Quick Start

Query Goodreads pages programmatically to extract book data with the provided helper functions and parse results.

Frequently Asked Questions about Goodreads — Book Data Extraction

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract structured book data from Goodreads HTML pages?▼

Extract structured book data from Goodreads HTML pages by using HTML parsing rather than a public API. This approach normalizes titles, authors, ratings, genres, and descriptions from book show, author, and Listopia pages into a structured format.

What is the best way to scrape Goodreads when the public API is unavailable?▼

Scraping Goodreads via HTML parsing is the best alternative when the public API is unavailable or unreliable. It uses robust selectors to extract and normalize book data for integration into downstream data pipelines.

Can I parse Listopia lists and author pages from Goodreads, or just individual book pages?▼

You can parse Listopia lists and author pages alongside individual book pages. The extraction operates on multiple Goodreads page types, using clear field mappings to handle structural variations across search results, author show, and book show pages.

How do I extract ratings, genres, and identifiers from Goodreads for a data pipeline?▼

Extract ratings, genres, and identifiers from Goodreads by implementing robust HTML parsing with clear field mappings. This normalizes the metadata into structured data, enabling direct integration into analytics and inventory data pipelines.

Does this Goodreads data extraction method support schema.org structured data?▼

This method relies on direct HTML parsing with robust selectors rather than parsing schema.org structured data. It maps specific page elements to extract titles, authors, ratings, and metadata across different Goodreads page types.

What are the limitations of scraping Goodreads HTML pages for book data?▼

Limitations of scraping Goodreads HTML pages include potential breakage when website layouts change and the need to handle structural variations across different page types. It operates without a public API, requiring robust selectors to maintain reliable data extraction.