Publishers and editors
Market scans
Favorable to scraping
Compare books for a topic, check authors and ratings, and spot crowded categories before planning acquisitions, launches, or metadata cleanup.
Search Engine$50Free
Goodreads Scraper for CSV Export
This Goodreads scraper turns public Goodreads book search results into a structured CSV for book research, catalog checks, reading-list analysis, and publishing market scans. Import the template into the UScraper local desktop app, replace the sample search keywords, and export book titles, authors, ratings, rating counts, publication years, editions, cover image URLs, result pages, and Goodreads book URLs without writing a crawler.
Output
CSV
Columns
10
Input
Keywords
Pagination
Next loop
Template
Free
At a glance
Export Goodreads books from search results
Goodreads is useful for discovering books by topic, but copying search pages into a spreadsheet by hand quickly gets messy. This Goodreads data extractor starts from keyword search URLs, waits until Goodreads renders book rows, and uses Structured Export to collect one row per visible result.
The bundled workflow includes sample searches for education, business, and management. You can replace those URLs with your own approved keywords, keep append mode enabled, and collect multiple pages into one CSV as the next-page loop advances.
Book result rows in stable columns
Export titles, authors, rating values, rating counts, publication years, edition counts, cover URLs, and source links for spreadsheet review.
Keyword plus pagination flow
The graph opens each search URL, exports the current page, clicks the Goodreads next-page link when present, waits, and loops until no next page remains.
Local desktop app custody
The browser session and CSV export run on your machine. The stock template does not send your book list to UScraper servers.
Best-effort waits included
Page-load waits, row waits, and a short post-click pause help reduce blank exports when Goodreads responds slowly.
Who this is for
Teams that need Goodreads book data in CSV
Researchers and librarians
Reading lists
Favorable to scraping
Download Goodreads results for a subject query, then clean and tag the CSV before building bibliographies, displays, or collection notes.
Analysts and agencies
Content research
Favorable to scraping
Export Goodreads books for competitor topics, author discovery, audience research, and trend checks without maintaining a custom browser script.
How to use
Scrape Goodreads search results in five steps
1
Download and import
Download the hosted JSON template from this page, import it into UScraper, and open the workflow graph.
2
Replace the sample searches
Edit the Navigate block with your approved Goodreads search URLs. Keep the first run to one keyword so you can verify rows and pacing.
3
Review the export path
Structured Export writes goodreads-scraper.csv with headers and append mode enabled. Change the folder if your team stores research files elsewhere.
4
Run the page loop
UScraper navigates, waits for book rows, exports the current page, checks for a.next_page, clicks it when available, waits again, and repeats.
5
Open the CSV
Review titles, authors, ratings, page numbers, and book URLs before moving the file into Excel, Sheets, Airtable, or a catalog workflow.
Automation path inside the template
- 1
Navigate
Open each configured Goodreads search URL from the multi-keyword Navigate block.
- 2
Wait and read
Wait for page load and for table rows marked as book results before exporting.
- 3
Export
Append CSV rows from the Structured Export block using visible fields and small JavaScript helpers.
- 4
Loop
Click the next-page link when it exists; otherwise continue to the next keyword.
Output preview
What the Goodreads CSV includes
The export is designed for search-result analysis. Ratings, edition counts, and publication years are parsed from visible Goodreads text, so spot-check a sample before using the file for decisions.
| keyword | page | book_title | author | rating | rating_numbers | published_year |
|---|---|---|---|---|---|---|
| education | 1 | Educated | Tara Westover | 4.47 | 1,600,000 | 2018 |
| business | 1 | The Lean Startup | Eric Ries | 4.11 | 350,000 | 2011 |
| management | 2 | High Output Management | Andrew S. Grove | 4.33 | 45,000 | 1983 |
goodreads-scraper.csvColumn
keyword
Search keyword read from the Goodreads URL.
Column
page
Current result page, defaulting to 1 when the URL has no page parameter.
Column
image_url
Cover image source from the Goodreads result row.
Column
book_title
Visible Goodreads book title.
Column
author
One or more author names joined into a single cell.
Column
rating
Average rating parsed from the mini-rating text.
Column
rating_numbers
Visible rating count, when available.
Column
published_year
Published or first-published year parsed from row text.
Column
editions
Edition count parsed from edition links.
Column
book_url
Goodreads book detail URL.
Headers included - one row per Goodreads book result
Related workflows
Build a wider book research workflow
Use the Google Books Scraper when you need ISBNs, publishers, subjects, and descriptions after finding candidate titles. For discovery beyond Goodreads, start with the Google Search Scraper or Google SERP Scraper, then browse the full UScraper template library or install the local desktop app from uscraper.io/download.
Frequently asked questions
Goodreads pages may be publicly visible, but automated collection can still be restricted by Goodreads terms, robots guidance, copyright, privacy rules, and local law. Keep batches modest, avoid bypassing access controls, and get legal review before republishing or reselling exported book data.
Before you run
Practical limits to plan around
Run small keyword batches first, avoid parallel runs, and stop if you see login prompts, verification pages, unusual empty results, or repeated failed waits.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
Open-source templates
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