Goodreads Book Search Scraper

hipersoft/goodreads-scraper

Search Goodreads and export clean book data in bulk — title, author, average rating, ratings count, cover image and book URL. Enter any keywords (or paste Goodreads search URLs) and download the results as JSON, CSV or Excel.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per book scraped

$0.003

Last rebuilt

Oct 26, 2026

Overview

Search Goodreads and export the results as clean, structured JSON, CSV, Excel or XML. Enter any keywords — a book title, author, series or topic — and this actor returns one tidy row per book: title, author, average rating, ratings count, cover image and the Goodreads book URL. Perfect for building reading lists, market and genre research, catalog enrichment and recommendation data.

What does Goodreads Book Search Scraper do?

This actor turns Goodreads search results into a ready-to-use dataset. Type one or more search keywords (or paste Goodreads search URLs straight from your browser), and it walks every page of each search and collects each book with structured fields. No manual copy-paste, no page-by-page clicking — just clean rows you can sort, filter and analyse.

What data can you get?

Per book:

Field	Description
`bookId`	Goodreads book reference number.
`title`	Book title.
`author`	Primary author name.
`avgRating`	Average rating (0–5) as a number.
`ratingsCount`	Total number of ratings.
`url`	Link to the book's Goodreads page.
`coverImage`	Cover image URL, when present.
`sourceQuery`	The search keyword the book was found under.

Use cases

Reading lists — build curated lists by topic, author or genre.
Market & genre research — compare ratings and popularity across titles.
Catalog enrichment — add ratings, authors and covers to your own book data.
Recommendation data — feed structured book data into your own models.
Dashboards — power reports from clean, structured rows.
Automation — pull fresh book data into your pipelines on a schedule.

How to use it

Add Goodreads Book Search Scraper to your Apify account and open its input.
Enter one or more Search keywords (e.g. dune, stephen king, cozy mystery), or paste Goodreads search URLs.
Set Max items to cap the output.
Click Run.
Export the results as JSON, CSV, Excel or XML.

Input

{
  "queries": ["dune"],
  "maxItems": 100
}

Field	Description
`queries`	One or more search keywords to look up.
`startUrls`	Optional Goodreads search URLs to scrape instead of, or alongside, keywords.
`maxItems`	Cap the number of books. `0` = no limit.
`maxConcurrency`	How many requests to run in parallel.

What you get

One flat JSON row per book, ready to export to CSV, Excel, JSON or XML.

{
  "bookId": "44767458",
  "title": "Dune (Dune, #1)",
  "author": "Frank Herbert",
  "avgRating": 4.27,
  "ratingsCount": 1382241,
  "url": "https://www.goodreads.com/book/show/44767458",
  "coverImage": "https://images-na.ssl-images-amazon.com/images/S/compressed.photo.goodreads.com/books/1555447414i/44767458.jpg",
  "sourceQuery": "dune"
}

FAQ

What can I search for? Anything you would type into the Goodreads search box — a book title, an author, a series or a general topic. Each keyword is searched and paginated automatically.

How many books can I collect? Use Max items to set any cap you like, or 0 for no limit. The actor paginates through the results until it reaches your cap or runs out of matches.

Can I scrape several searches at once? Yes — add as many keywords (or search URLs) as you like and they are all collected into one dataset, each row tagged with its sourceQuery.

What export formats are supported? JSON, CSV, Excel and XML — plus the Apify API and integrations for automation.

Input

Field	Type	Description
`queries` Search keywords	array	One or more search terms to look up on Goodreads — a book title, author, series or topic (e.g. "dune", "stephen king", "cozy mystery"). Each keyword is searched and paginated automatically. Default: `["dune"]`
`startUrls` Start URLs (optional)	array	Optional: paste Goodreads search result URLs straight from your browser (e.g. https://www.goodreads.com/search?q=dune). Use this instead of, or in addition to, the keywords above.
`maxItems` Max items	integer	Maximum number of books to collect across all searches (0 = no limit; collect everything the searches return). Default: `100`
`maxConcurrency` Max concurrency	integer	How many requests to run in parallel. Leave at the default unless you have a reason to change it. Default: `5`
`proxyConfiguration` Proxy configuration	object	Optional proxy settings. Not required — leave off for the default direct connection.

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~goodreads-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "queries": [
    "dune"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/goodreads-scraper").call(run_input={
    "queries": [
        "dune"
    ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/goodreads-scraper').call({
  "queries": [
    "dune"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Book scraped Charged for each book row scraped from Goodreads search results.	$0.003	$0.0015

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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