- 持续校验、富化并刷新
- 免费 Goodreads 数据 样本下载
- 100% 合乎道德且合规的数据采集
- 价格起步为 $250/100K 条记录
全球 超20000 位客户信赖
可用数据集
- 提供 JSON/CSV 格式演示数据
- 新鲜记录
- 支持自定义、富化与格式化数据
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
Yelp businesses overview
LinkedIn profiles Jobs Listings
Glassdoor companies reviews
Facebook - Comments
Instagram - Comments
Zoominfo companies information
pitchbook companies information
Glassdoor job listings information
Otodom Poland
Amazon products global dataset
Google Shopping
eBay
Amazon sellers info
G2 software product overview
Github repository
Amazon best seller products
Facebook - Posts by group URL
Australia real estate properties
Home Depot US
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
Zillow price history
World population
Indeed companies info
Zoopla properties listing information
Target
Wikipedia articles
Pinterest - Posts
Lazada - Products
Youtube - Comments
NBA players' stats
Best Buy products
Walmart sellers info
Facebook Events
Ikea - Products
Facebook - Profiles
Realtor international properties listings
Sephora products
Lowes.com
BBC news
Ozon.ru products
OLX Brazil - marketplace ads
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
H&M - Products
Slintel 6sense company information
Wayfair products
Naver products
US lawyers directory
Webmotors Brasil - Cars Listings
Tokopedia Products
Apple App Store reviews
Manta businesses
CNN news
Digikey - Products
Agoda Properties Listings
Wildberries.ru products
Mouser - Products
Zonaprop Argentina - Properties Listing
Facebook - Pages and Profiles
Quora posts
Carsales Cars Listings search page information
Pinterest - Profiles
Chileautos Chile - Cars Listings
VentureRadar company information
Zalando products
Inmuebles24 Mexico - Properties Listings
carsales.com.au - Cars Listings
Yapo Chile - marketplace ads
Asos - Products
Lazada - Reviews
Trustradius product reviews
Hermes- Products
Lego - Products
Bluesky - Posts
Vimeo - Videos posts
World zipcodes
Metrocuadrado - Properties Listings
Chanel Products
Home Depot CA
Lazada products search (GMV)
Toctoc - Properties Listings
Dior - Products
Top 500 Bluesky Profiles
Apple App Store
Creative Commons 3D Models
Ashleyfurniture - Products
AE.com - Complete Products
Properati Argentina and Colombia - Properties Listings
mercadolivre.com.br products
Infocasas Uruguay - Properties Listings
Mango Products
Balenciaga.com - Products
Mediamarkt.de products
Fanatics.com - Products
Kroger.com
Toysrus - Products
Zara Home Products
Carters.com - Products
Twitch - streams dataset
Loewe.com - Products
Rona.ca products
Crateandbarrel - Products
Prada.com - Products
Fendi Products
ChatGPT Search
Delvaux - Products
Ysl.com - Products
Massimo Dutti - Products
Bottegaveneta.com - Products
Mattressfirm - Products
Raymourflanigan.com - Products
llbean.com - Products
Sleepnumber.com - Products
Celine.com - Products
Mybobs.com - Products
La-z-boy.com - Products
Berluti.com - Products
Montblanc - Products
Walmart - products zipcodes
Moynat.com - Products
Google SERP - 100 Results
Threads - Posts
Google AI Mode Search
Suumo.jp
Zillow Full Properties Information
Macys.com
Agoda Listings Search
Gemini Search
Threads - Profiles
Trip Listings Search
Falabella.com
Perplexity Search
LinkedIn people search
Grok Search
Zillow properties search page
Walmart products search
Bing Copilot Search
Trip Hotel Listings
Snapchat posts
Goodreads reviews
TikTok - Posts by URL Fast API
Snapchat profile
Agoda Properties Listings with Pricing
Reddit - Profiles
Flipkart.com
TikTok - Posts by Search URL Fast API
TikTok - Posts by Profile Fast API
Coupang products
TikTok Shop Category Products
Booking Hotel Listings with Pricing
Google Hotel
通过战略性成本节约最大化价值
智能数据更新
仅访问“新记录”或“已更新记录”,确保您只为真正需要的内容付费
数据集捆绑包
通过一次购买两个或更多数据集并享受专属折扣,获取更高价值。
批量折扣
在购买大型数据集或更新订阅时享受大幅优惠,用更少的投入获取更多数据
富化数据集
使用预构建的数据集,将多个来源整合为一个干净的数据集,为您节省时间和资源
数据集定价
- 干净且已验证
- 每月刷新
- JSON/CSV/Parquet
即刻为 AI Agent 提供数据燃料
我们的 Goodreads 数据集已针对 AI/LLM 优化:结构清晰、文档完备,附带代码与示例,便于快速接入 LLM/聊天机器人。
结构化且干净
预处理数据采用统一 schema,非常适合用于 AI 模型训练与推理。
代码示例
提供可直接使用的 Python、Node.js、cURL、PHP、Go、Java 和 Ruby 代码片段,便于集成到 AI 工作流。
文档支持
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
为你的 Goodreads 用例量身打造的数据集
数据订阅
通过订阅方式访问数据集,以显著降低成本。
文件输出格式
JSON、NDJSON、JSON Lines、CSV、Parquet,可选 .gz 压缩。
灵活交付
支持 Snowflake、Amazon S3、Google Cloud、Azure 和 SFTP 等多种交付方式。
可扩展数据
无需操心基础设施、代理服务器或封锁问题,即可轻松扩展。
成本优化
通过筛选和格式选项对任意数据集进行定制,降低不必要的数据成本。
代码维护
数据集会根据网站结构变更自动维护与更新。
简化集成
得益于与 Snowflake 和 AWS 的集成,轻松打通数据流。
7×24 小时支持
专业数据团队随时为你提供支持。
合规领跑者
数据采集遵循隐私法规与道德准则,确保合规与安全。
获取结构化且可靠的 Goodreads 数据
数据交给我们,你专注于业务价值
大规模网页数据
依托强大的解封能力与 24/7 IP 轮换,确保获取站点上的所有公开数据点。
即用型数据
数据采集全流程经过严格验证,确保数据质量与一致性。
自动化数据流
创建自定义调度任务,将数据自动、持续地推送至你的存储位置。
Goodreads 数据集常见问题
我可以为已购买的 Goodreads 数据集获取更新吗?
可以,你可以按日、按周、按月或自定义频率为你的 Goodreads 数据集获取更新。
我可以只购买 Goodreads 数据集的一部分吗?
可以,你可以只购买包含所需数据点的 Goodreads 数据子集。通过购买子集,可以显著降低成本。
Goodreads 数据集会以什么格式交付?
数据集格式包括 JSON、NDJSON、JSON Lines、CSV 或 Parquet。可选将文件压缩为 .gz。
可以获取数据样本吗?
可以,你可以先索取样本数据,以评估信息质量与相关性。这是你在购买完整数据集前验证其是否满足需求的理想方式。
我可以只请求 Goodreads 数据集中的特定数据点吗?
可以,你可以根据自身需求请求 Goodreads 数据集中的特定数据点,确保获取与你项目高度匹配的信息。
是否可以将 Goodreads 数据集直接集成到我现有系统中?
当然可以。Goodreads 数据集支持无缝 API 集成,可轻松接入你的 CRM、分析工具或其他系统,帮助简化运营流程。