- 超过 40.8M 条记录可用
- 100% 合规且符合道德规范的数据采集
- 来自 Google 的精准评价数据
- 免费下载数据示例
全球 超20000 位客户信赖
可用的 Google 评论 及相关数据集
- JSON/CSV 格式的演示数据
- 最新记录
- 自定义、丰富并格式化数据
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
X (formerly Twitter) - Profiles
Airbnb Properties Information
Google maps reviews
Google News
Yahoo Finance business information
Reddit- Posts
Instagram - Reels
Booking Hotel Listings
Shein- Products
Glassdoor companies reviews
LinkedIn profiles Jobs Listings
Yelp businesses overview
Facebook - Comments
Instagram - Comments
Zoominfo companies information
Glassdoor job listings information
pitchbook companies information
Otodom Poland
Amazon products global dataset
Amazon sellers info
Google Shopping
eBay
G2 software product overview
Github repository
Amazon best seller products
Home Depot US
Facebook - Posts by group URL
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
World population
Zara - Products
Zillow price history
Indeed companies info
Target
Zoopla properties listing information
Wikipedia articles
Pinterest - Posts
Lazada - Products
Facebook - Profiles
Youtube - Comments
Best Buy products
NBA players' stats
Facebook Events
Walmart sellers info
Ikea - Products
Sephora products
Realtor international properties listings
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
Creative Commons Images
Google Shopping products search US
Wayfair products
Owler companies information
Facebook - Pages and Profiles
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
Mouser - Products
Wildberries.ru products
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
Yapo Chile - marketplace ads
carsales.com.au - Cars Listings
Asos - Products
Trustradius product reviews
Lazada - Reviews
Bluesky - Posts
Hermes- Products
World zipcodes
Lego - Products
Vimeo - Videos posts
Metrocuadrado - Properties Listings
Home Depot CA
mercadolivre.com.br products
Chanel Products
Lazada products search (GMV)
Toctoc - Properties Listings
Dior - Products
Top 500 Bluesky Profiles
Apple App Store
Creative Commons 3D Models
Ashleyfurniture - Products
Kroger.com
AE.com - Complete Products
Properati Argentina and Colombia - Properties Listings
Infocasas Uruguay - Properties Listings
Mango Products
Crawl API
Balenciaga.com - Products
Mediamarkt.de products
Fanatics.com - Products
Toysrus - Products
Zara Home Products
Carters.com - Products
Loewe.com - Products
Twitch - streams dataset
Prada.com - Products
Rona.ca products
Fendi Products
Crateandbarrel - Products
ChatGPT Search
Delvaux - Products
Bottegaveneta.com - Products
Ysl.com - Products
Massimo Dutti - Products
Raymourflanigan.com - Products
Mattressfirm - Products
Sleepnumber.com - Products
llbean.com - Products
Mybobs.com - Products
Celine.com - Products
Berluti.com - Products
La-z-boy.com - Products
Montblanc - Products
Walmart - products zipcodes
Moynat.com - Products
Google SERP - 100 Results
Google AI Mode Search
Suumo.jp
Threads - Posts
Zillow Full Properties Information
Macys.com
Gemini Search
Falabella.com
Overstock.com
LinkedIn people search
Agoda Listings Search
Threads - Profiles
Poshmark.com
Grok Search
Trip Listings Search
Flipkart.com
Oscaro products - Global
Perplexity Search
Zillow properties search page
Walmart products search
Myfood4less.com
Bing Copilot Search
Trip Hotel Listings
Snapchat posts
Goodreads reviews
Motointegrator.de
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
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
- 干净并已验证
- 每月更新
- JSON/CSV/Parquet
即时增强 AI Agent 能力
我们的 Google 评论 数据集已针对 AI/LLM 进行优化:结构清晰、文档完善,并提供代码和示例,便于 LLM/聊天机器人集成。
结构化且干净
预处理数据,具有一致的模式,非常适合 AI 模型训练和推理。
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,轻松集成到 AI 工作流中。
文档资料
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
专为您需求定制的 Google 评论数据集
数据订阅
订阅即可以大幅降低的成本访问数据集。
文件输出格式
JSON、NDJSON、JSON Lines、CSV、Parquet。可选.gz压缩格式。
灵活交付
Snowflake、Amazon S3存储桶、Google Cloud、Azure和SFTP。
可扩展数据
扩展过程无需担心基础架构、代理服务器或屏蔽问题。
节省成本
使用筛选条件和格式选项来自定义任何数据集。
代码维护
数据集根据网站结构的变化进行维护。
简化集成
受益于与Snowflake和AWS的集成。
全天候支持
由数据专业人员组成的专属团队随时提供帮助。
数据质量保证
数据获取方式合乎道德,符合所有隐私法律。
获取结构化、可信赖的 Google 评论数据
我们将提供数据 ,而您则专注于其余部分
大量网络数据
凭借我们的解封功能和全天候的IP轮换,我们可以确保访问网站上的所有数据点。
数据可供立即使用
作为我们强大的数据验证流程的一部分,数据收集过程的各个方面都经过了彻底验证。
自动数据流
创建自定义计划,进而自动传输数据,并监视数据无缝流入您的存储装置。
Google 评价数据集常见问题
Google 评价数据集中可能包含哪些数据?
Google 评价数据点可能包括:URL、地点 ID、地点名称、国家/地区、地址、评论 ID、评论者名称、评论者总评论数、评论者上传的照片数、评论者个人页面 URL 等。
购买的 Google 评价数据集可以更新吗?
可以。您可按日、周、月或自定义频率更新您的 Google 评价数据集。
我可以只购买 Google 评价数据集的部分数据吗?
可以。您可按需购买 Google 评价数据子集,仅包含所需的数据点,从而大幅降低成本。
Google 评价数据集以什么格式交付?
可提供 JSON、NDJSON、JSON Lines、CSV 或 Parquet 格式,文件也可选 .gz 压缩。
我可以自己爬取 Google 公开评价数据吗?
如果您不想购买现成数据集,可以使用我们的 Google Maps API 自行爬取 Google 评价数据。