Goodreads Datasets
Use our Goodreads dataset to explore detailed metadata on books, authors, genres, and user reviews from one of the largest book-centric platforms. This dataset offers insights into reader preferences, emerging literary trends, book performance metrics, and more.
Over 6.5M records available
- Continuously verified, enriched, and refreshed
- Free Goodreads data samples for download
- 100% ethical and compliant data collection
- Starting from price $250/100K records
Mehr als 20,000+ Kunden weltweit schenken uns ihr Vertrauen
Available Datasets
- Demo data in JSON/CSV
- Fresh records
- Customize, enrich, and format the data
LinkedIn people profiles
Amazon products
LinkedIn company information
Instagram - Profiles
Crunchbase companies information
Linkedin job listings information
Zillow properties listing information
Instagram - Posts
LinkedIn posts
X (formerly Twitter) - Posts
Google Maps full information
TikTok - Profiles
Facebook - Pages Posts by Profile URL
Youtube - Videos posts
Amazon Reviews
TikTok - Posts
Indeed job listings information
Shopee - products
Companies information enriched dataset
Walmart - products
Employees business enriched dataset
TikTok Shop
YouTube - Profiles
Glassdoor companies overview information
IMDB media
Airbnb Properties Information
X (formerly Twitter) - Profiles
Google maps reviews
Google News
Yahoo Finance business information
Reddit- Posts
Instagram - Reels
Booking Hotel Listings
Shein- Products
LinkedIn profiles Jobs Listings
Glassdoor companies reviews
Yelp businesses overview
Facebook - Comments
Instagram - Comments
Zoominfo companies information
pitchbook companies information
Glassdoor job listings information
Otodom Poland
Amazon products global dataset
Amazon sellers info
eBay
Google Shopping
G2 software product overview
Github repository
Amazon best seller products
Facebook - Posts by group URL
Home Depot US
Australia real estate properties
Facebook Marketplace
Facebook - Posts by post URL
Google Play Store
TikTok - Comments
Trustpilot business reviews
Etsy
G2 software - product reviews
Amazon products search
Booking Listings Search
Goodreads books
Yelp businesses reviews
Reddit - Comments
Amazon Walmart
Zara - Products
World population
Zillow price history
Indeed companies info
Target
Zoopla properties listing information
Wikipedia articles
Pinterest - Posts
Lazada - Products
Youtube - Comments
NBA players' stats
Best Buy products
Facebook - Profiles
Walmart sellers info
Facebook Events
Ikea - Products
Realtor international properties listings
Sephora products
BBC news
Lowes.com
OLX Brazil - marketplace ads
Ozon.ru products
Xing social network
Facebook - Reels by profile URL
Google Play Store reviews
Facebook Company Reviews
Myntra products
Google Shopping products search US
Creative Commons Images
Owler companies information
Wayfair products
Slintel 6sense company information
H&M - Products
Naver products
US lawyers directory
Webmotors Brasil - Cars Listings
Tokopedia Products
Digikey - Products
Apple App Store reviews
Manta businesses
CNN news
Agoda Properties Listings
Wildberries.ru products
Mouser - Products
Facebook - Pages and Profiles
Zonaprop Argentina - Properties Listing
Quora posts
Carsales Cars Listings search page information
Pinterest - Profiles
VentureRadar company information
Chileautos Chile - Cars Listings
Zalando products
Inmuebles24 Mexico - Properties Listings
carsales.com.au - Cars Listings
Yapo Chile - marketplace ads
Asos - Products
Trustradius product reviews
Lazada - Reviews
Bluesky - Posts
Hermes- Products
Vimeo - Videos posts
Lego - Products
World zipcodes
Metrocuadrado - Properties Listings
Home Depot CA
Chanel Products
Toctoc - Properties Listings
Lazada products search (GMV)
Dior - Products
Top 500 Bluesky Profiles
mercadolivre.com.br products
Apple App Store
Creative Commons 3D Models
Ashleyfurniture - Products
AE.com - Complete Products
Properati Argentina and Colombia - Properties Listings
Infocasas Uruguay - Properties Listings
Mango Products
Kroger.com
Balenciaga.com - Products
Mediamarkt.de products
Fanatics.com - Products
Toysrus - Products
Zara Home Products
Carters.com - Products
Loewe.com - Products
Twitch - streams dataset
Rona.ca products
Fendi Products
Crateandbarrel - Products
Prada.com - Products
ChatGPT Search
Delvaux - Products
Ysl.com - Products
Bottegaveneta.com - Products
Massimo Dutti - Products
Raymourflanigan.com - Products
Mattressfirm - Products
llbean.com - Products
Mybobs.com - Products
Sleepnumber.com - Products
Celine.com - Products
La-z-boy.com - Products
Berluti.com - Products
Montblanc - Products
Walmart - products zipcodes
Moynat.com - Products
Google SERP - 100 Results
Suumo.jp
Google AI Mode Search
Threads - Posts
Zillow Full Properties Information
Macys.com
Gemini Search
Falabella.com
Agoda Listings Search
Threads - Profiles
Poshmark.com
Grok Search
Trip Listings Search
Flipkart.com
Perplexity Search
LinkedIn people search
Zillow properties search page
Walmart products search
Overstock.com
Bing Copilot Search
Trip Hotel Listings
Snapchat posts
Goodreads reviews
TikTok - Posts by URL Fast API
TikTok - Posts by Profile Fast API
Snapchat profile
Agoda Properties Listings with Pricing
Google Hotel
Reddit - Profiles
TikTok - Posts by Search URL Fast API
Coupang products
TikTok Shop Category Products
Booking Hotel Listings with Pricing
Filtern Sie den Datensatz Goodreads mit einer einzigen Eingabeaufforderung.
Beschreiben Sie genau, was Sie benötigen, und lassen Sie die KI in Sekundenschnelle die perfekten Filter anwenden.
- Beschreiben Sie Datenanforderungen in einfachem Englisch.
- Die KI wendet automatisch präzise Filter an.
- Beschränken Sie große Datensätze auf das, was für Sie wichtig ist.
- Sparen Sie Kosten, indem Sie irrelevante Daten überspringen.
- Exportieren Sie gefilterte Daten in Ihrem bevorzugten Format.
Maximieren Sie den Wert durch strategische Kosteneinsparungen
Intelligente Datenaktualisierungen
Greifen Sie nur auf „Neue Datensätze” oder „Aktualisierte Datensätze” zu, um sicherzustellen, dass Sie nur für das bezahlen, was Sie benötigen.
Datensatz-Bundles
Sichern Sie sich einen Mehrwert, indem Sie zwei oder mehr Datensätze zusammen kaufen und von exklusiven Rabatten profitieren.
Mengenrabatte
Erhalten Sie mehr für weniger Geld mit erheblichen Einsparungen beim Kauf großer Datensätze oder Update-Abonnements.
Angereicherte Datensätze
Sparen Sie Zeit und Ressourcen mit vorgefertigten Datensätzen, die mehrere Quellen zu einem sauberen Datensatz kombinieren.
Datasets Pricing
- Clean and validated
- Refreshed monthly
- JSON/CSV/Parquet
Power AI Agents Instantly
Our Goodreads datasets are AI/LLM-optimized: clearly structured, well-documented, with code and recipes for easy LLM/chatbot integration.
Structured & Clean
Pre-processed data with consistent schemas, perfect for AI model training and inference.
Code Examples
Ready-to-use Python, Node.js, cURL, PHP, Go, Java, and Ruby snippets for easy integration with AI workflows.
Documentation
curl --request GET
--url https://api.brightdata.com/datasets/snapshots/{id}/download
--header 'Authorization: Bearer '
import requests
url = "https://api.brightdata.com/datasets/snapshots/{id}/download"
headers = {"Authorization": "Bearer "}
response = requests.get(url, headers=headers)
print(response.json())
const url = 'https://api.brightdata.com/datasets/snapshots/{id}/download';
const options = {method: 'GET', headers: {Authorization: 'Bearer '}, body: undefined};
try {
const response = await fetch(url, options);
const data = await response.json();
console.log(data);
} catch (error) {
console.error(error);
}
HttpResponse response = Unirest.get("https://api.brightdata.com/datasets/snapshots/{id}/download")
.header("Authorization", "Bearer ")
.asString();
require 'uri'
require 'net/http'
url = URI("https://api.brightdata.com/datasets/snapshots/{id}/download")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer '
response = http.request(request)
puts response.read_body
Goodreads datasets tailored to your needs
Data subscription
Subscribe to access datasets at a significantly reduced cost.
File output formats
JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.
Flexible delivery
Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.
Scalable data
Scale without worrying about infra, proxy servers, or blocks.
Cost savings
Customize any dataset using filters and formatting options.
Code maintenance
Datasets are maintained based on website structure changes.
Simplified integrations
Benefit from integrations with Snowflake and AWS.
24/7 support
A dedicated team of data professionals is here to help.
Leaders in compliance
Data is ethically obtained and compliant with all privacy laws.
Get structured and reliable Goodreads data
We’ll provide the data while you focus on the rest
High-volume web data
With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.
Data for immediate use
Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.
Automated data flow
Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.
Goodreads Dataset FAQs
Can I get updates for my purchased Goodreads dataset?
Yes, you can get updates to your Goodreads dataset on a daily, weekly, monthly, or custom basis.
Can I purchase a subset of the Goodreads dataset?
Yes, you can purchase a Goodreads subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.
In what format will I receive the Goodreads dataset?
Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.
Can I get a data sample?
Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.
Can I request specific data points from the Goodreads dataset?
Yes, you can request specific data points from the Goodreads dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.
Is it possible to integrate the Goodreads dataset directly into my existing systems?
Absolutely, the Goodreads dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.