Goodreads Scraper

📌 What book discovery data can you collect from Goodreads search results?

This template collects structured records from search-results pages, including Keyword, Progress_result_count, Page_URL, Page, image_url, book_title, author, rating, rating_numbers, published_year, editions. It is useful for publishers, authors, librarians, literary researchers, and book marketers.

Data is collected from Goodreads. Goodreads is a book discovery and reading community with titles, ratings, editions, and reader reviews.

💰 Pricing

This template is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.

📦 Output

The current published implementation can return the following fields:

• Keyword
• Progress_result_count
• Page_URL
• Page
• image_url
• book_title
• author
• rating
• rating_numbers
• published_year
• editions

{
  "Keyword": "education",
  "Progress_result_count": null,
  "Page_URL": null,
  "Page": "1",
  "image_url": "https://i.gr-assets.com/images/S/compressed.photo.goodreads.com/books/1375414895i/17851885._SY75_.jpg",
  "book_title": "I Am Malala: The Story of the Girl Who Stood Up for Education and Was Shot by the Taliban",
  "author": "Malala Yousafzai",
  "rating": "4.14",
  "rating_numbers": "504,883",
  "published_year": "2012",
  "editions": "170"
}

🎯 Use Cases

• Use rating, rating_numbers to benchmark ratings and reputation.
• Use image_url, book_title to build and compare product, content, or menu catalogs.
• Use author to research creators, reviewers, sellers, or stores.
• Use Page_URL to link records to source pages or downstream detail collection.

🐙 Why Octoparse

• Ready-to-use workflow: The extraction steps for Goodreads are already configured, so you do not need to build the scraper from scratch.
• Flexible execution: Choose the supported local or cloud run mode to fit one-off checks or repeatable collection work.
• Structured, repeatable output: Results are returned as consistent rows that are easier to compare, filter, deduplicate, and process than manually copied pages.
• Verified input guardrails: The form exposes the current inputs, selectable values, and meaningful limits configured for this template.
• Practical data handoff: Review results in Octoparse and export or process them using the options supported by your Octoparse environment.

📝 Input

Complete the following fields:

• Keyword (1 per line) (Required) — Enter book-category or subject keywords, one per line.
• Number of Pages (Optional) — Set the number of Goodreads search-result pages to process.

🚀 How to Use

1. Open the template and select Try it or Start.
2. Complete the input fields listed above.
3. Start the task using the supported local or cloud run mode.
4. Review the output rows and export or process the structured data.

⚠️ Limitations

Results depend on what the source site exposes at run time. A listed output field can be empty when the source page does not provide that value. Input limits shown above are enforced by the template.

💡 Tips

Use specific, valid inputs and review a representative result before starting a large batch. Remove duplicate inputs when repeated records are not needed.

❓ FAQ

How does this scraper work?

The template takes the configured Keyword (1 per line), Number of Pages inputs, submits each supplied value and iterates the returned records on Goodreads search-results pages, then emits structured rows containing fields such as Keyword, Progress_result_count, Page_URL, Page, image_url.

What do I need to enter?

Use the fields and accepted values shown in the Input section. Only user-relevant limits and selectable options are listed.

What data does this template return?

The current output fields and a representative JSON Data Preview are listed in the Output section. Field availability can vary when the source page does not display a value.

Is this template free to use?

It is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.

Why can some output fields be empty?

Source pages do not always expose every value for every record, and layouts can vary by item, market, or current site response. The template returns a field when the current page provides it.

Can I export the collected data?

You can review the structured rows in Octoparse and export or process them using the options supported by your Octoparse environment.

🔗 Related Templates

• Goodreads Comments Scraper — Use Goodreads Comments Scraper when reader review text, ratings, dates, and likes are needed.
• Google Books Scraper — Use Google Books Scraper for comparable book discovery plus ISBN, publisher, description, subject, and buy-link fields.