Google Reviews Dataset
The Google reviews dataset provides a comprehensive resource for analyzing user interactions and experiences across various locations listed on Google Maps. This dataset includes key attributes such as URLs, place IDs, countries, addresses, review IDs, reviewer names, reviews by reviewer, photos by reviewer, reviewer URLs, local guide status, review ratings, review texts, review dates, number of likes, owner responses, response dates, and associated photos.
- Over 39M records available
- Accurate reviews data from Google
- Free data samples for download
ДОВЕРЯЮТ 20,000+ КЛИЕНТОВ ПО ВСЕМУ МИРУ
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
TikTok - Profiles
Facebook - Pages Posts by Profile URL
Shopee - products
Amazon Reviews
TikTok - Posts
Youtube - Videos posts
Indeed job listings information
Walmart - products
Employees business enriched dataset
Companies information enriched dataset
Google Maps full information
TikTok Shop
YouTube - Profiles
IMDB media
Glassdoor companies overview information
X (formerly Twitter) - Profiles
Airbnb Properties Information
Google News
Yahoo Finance business information
Google maps reviews
Instagram - Reels
Booking Hotel Listings
Shein- Products
Reddit- Posts
Facebook - Comments
Instagram - Comments
Yelp businesses overview
LinkedIn profiles Jobs Listings
Zoominfo companies information
Glassdoor companies reviews
Otodom Poland
pitchbook companies information
Glassdoor job listings information
eBay
Amazon sellers info
Amazon products global dataset
G2 software product overview
Google Shopping
Github repository
Amazon best seller products
Australia real estate properties
Facebook - Posts by group URL
TikTok - Comments
Facebook Marketplace
Google Play Store
Home Depot US
Facebook - Posts by post URL
G2 software - product reviews
Etsy
Booking Listings Search
Trustpilot business reviews
Amazon products search
Goodreads books
Amazon Walmart
Yelp businesses reviews
Zara - Products
Reddit - Comments
World population
Zillow price history
Indeed companies info
Zoopla properties listing information
Lazada - Products
Target
Wikipedia articles
NBA players' stats
Best Buy products
Pinterest - Posts
Youtube - Comments
Ikea - Products
Realtor international properties listings
Ozon.ru products
Sephora products
OLX Brazil - marketplace ads
BBC news
Facebook Events
Google Play Store reviews
Myntra products
Walmart sellers info
Facebook - Reels by profile URL
Facebook Company Reviews
Lowes.com
Xing social network
Owler companies information
Creative Commons Images
Google Shopping products search US
H&M - Products
US lawyers directory
Apple App Store reviews
Tokopedia Products
Webmotors Brasil - Cars Listings
Digikey - Products
Slintel 6sense company information
CNN news
Manta businesses
Mouser - Products
Naver products
Wayfair products
Wildberries.ru products
Agoda Properties Listings
Zonaprop Argentina - Properties Listing
Carsales Cars Listings search page information
Chileautos Chile - Cars Listings
Pinterest - Profiles
Quora posts
Zalando products
Inmuebles24 Mexico - Properties Listings
carsales.com.au - Cars Listings
VentureRadar company information
Yapo Chile - marketplace ads
Lazada - Reviews
Asos - Products
Bluesky - Posts
Lego - Products
Hermes- Products
Trustradius product reviews
World zipcodes
Vimeo - Videos posts
Metrocuadrado - Properties Listings
Home Depot CA
Lazada products search (GMV)
Chanel Products
Toctoc - Properties Listings
Top 500 Bluesky Profiles
Dior - Products
Apple App Store
Creative Commons 3D Models
Ashleyfurniture - Products
AE.com - Complete Products
Infocasas Uruguay - Properties Listings
Properati Argentina and Colombia - Properties Listings
Mango Products
Balenciaga.com - Products
Mediamarkt.de products
Fanatics.com - Products
Toysrus - Products
Twitch - streams dataset
Carters.com - Products
Facebook - Profiles
Zara Home Products
Prada.com - Products
Crateandbarrel - Products
Loewe.com - Products
Ysl.com - Products
Delvaux - Products
Fendi Products
Massimo Dutti - Products
Mattressfirm - Products
Bottegaveneta.com - Products
ChatGPT Search
Sleepnumber.com - Products
Mybobs.com - Products
Celine.com - Products
Raymourflanigan.com - Products
Berluti.com - Products
La-z-boy.com - Products
Montblanc - Products
Walmart - products zipcodes
llbean.com - Products
Rona.ca products
Moynat.com - Products
Threads - Posts
Google AI Mode Search
Zillow Full Properties Information
mercadolivre.com.br products
Agoda Listings Search
Threads - Profiles
Grok Search
Zillow properties search page
Perplexity Search
LinkedIn people search
Walmart products search
Gemini Search
Bing Copilot Search
Snapchat posts
Google SERP - 100 Results
TikTok - Posts by URL Fast API
Snapchat profile
Agoda Properties Listings with Pricing
TikTok - Posts by Search URL Fast API
TikTok - Posts by Profile Fast API
Coupang products
TikTok Shop Category Products
Booking Hotel Listings with Pricing
Ценообразование наборов данных
- Чистый и проверенный
- Обновляется ежемесячно
- JSON/CSV/Parquet
Мощные агенты искусственного интеллекта мгновенно
Наши наборы данных Google Reviews Dataset оптимизированы для ИИ/ЛЛМ: четко структурированы, хорошо документированы, содержат код и рецепты для легкой интеграции LLM/chatbot.
Структурированность и чистота
Предварительно обработанные данные с согласованными схемами идеально подходят для обучения и вывода моделей ИИ.
Примеры кодов
Готовые к использованию сниппеты Python, Node.js, cURL, PHP, Go, Java и Ruby для легкой интеграции в рабочие процессы ИИ.
Документация
curl --request GET
--url https://api.brightdata.com/datasets/snapshots/{id}/download
--header 'Authorization: Bearer '
импорт запросов
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: {Авторизация: '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
Google reviews datasets tailored to your needs
Подписка на данные
Оформите подписку, чтобы получить доступ к наборам данных по значительно сниженной цене.
Форматы выходных файлов
JSON, NDJSON, JSON Lines, CSV, Parquet. Опциональное сжатие .gz.
Гибкая доставка
Snowflake, ведро Amazon S3, облако Google, Azure и SFTP.
Масштабируемые данные
Масштабирование без забот об инфре, прокси-серверах и блоках.
Экономия средств
Настройте любой набор данных с помощью фильтров и опций форматирования.
Сопровождение кода
Наборы данных поддерживаются в соответствии с изменениями структуры сайта.
Упрощенная интеграция
Воспользуйтесь преимуществами интеграции со Snowflake и AWS.
Круглосуточная поддержка
Команда профессионалов по работе с данными готова помочь вам.
Лидеры в области соблюдения требований
Данные получены по этическим соображениям и соответствуют всем законам о конфиденциальности.
Get structured and reliable Google reviews data
Мы предоставим данные, а вы сосредоточитесь на остальном
Большие объемы веб-данных
Благодаря нашим возможностям разблокировки и круглосуточной ротации IP-адресов мы обеспечиваем доступ ко всем точкам данных на веб-сайте.
Данные для немедленного использования
Каждый аспект процесса сбора данных тщательно проверяется в рамках нашего надежного процесса проверки данных.
Автоматизированный поток данных
Создавайте собственные расписания для автоматизации доставки данных и следите за беспрепятственным поступлением данных в хранилище.
How companies use Google reviews datasets
Competitor analysis
Geo location market analysis
Optimized marketing strategy
Google Reviews Dataset FAQs
What data may be included in the Google reviews dataset?
Google reviews data points include: URL, place ID, place name, country, address, review ID, reviewer name, reviews by reviewer, photos by reviewer, reviewer URL, and more.
Can I get updates for my purchased Google reviews dataset?
Yes, you can get updates to your Google reviews dataset on a daily, weekly, monthly, or custom basis.
Can I purchase a subset of the Google reviews dataset?
Yes, you can purchase a Google reviews 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 Google reviews dataset?
Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.
Can I scrape Google reviews public data by myself?
If you don’t want to purchase a dataset, you can start scraping Google reviews using our Google Maps API.