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
Trusted by 20,000+ customers worldwide
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
Yelp businesses reviews
Amazon Walmart
Zara - Products
Reddit - Comments
World population
Zillow price history
Indeed companies info
Zoopla properties listing information
Lazada - Products
Target
NBA players' stats
Wikipedia articles
Best Buy products
Pinterest - Posts
Youtube - Comments
Ikea - Products
Realtor international properties listings
Ozon.ru products
Sephora products
BBC news
OLX Brazil - marketplace ads
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
Mouser - Products
Manta businesses
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
Facebook - Profiles
Toysrus - Products
Twitch - streams dataset
Carters.com - Products
Zara Home Products
Prada.com - Products
Crateandbarrel - Products
Loewe.com - Products
Ysl.com - Products
Delvaux - Products
Fendi Products
Massimo Dutti - Products
ChatGPT Search
Mattressfirm - Products
Bottegaveneta.com - Products
Sleepnumber.com - Products
Mybobs.com - Products
Celine.com - Products
Raymourflanigan.com - Products
Berluti.com - Products
Rona.ca products
La-z-boy.com - Products
Montblanc - Products
Walmart - products zipcodes
llbean.com - 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
Datasets Pricing
- Sauber und validiert
- Monatlich aufgefrischt
- JSON/CSV/Parquet
KI-Agenten sofort aktivieren
Unsere Google Reviews Dataset Datensätze sind AI/LLM-optimiert: klar strukturiert, gut dokumentiert, mit Code und Rezepten für eine einfache LLM/Chatbot-Integration.
Strukturiert & sauber
Vorverarbeitete Daten mit konsistenten Schemata, perfekt für das Training und die Inferenz von KI-Modellen.
Code-Beispiele
Gebrauchsfertige Python-, Node.js-, cURL-, PHP-, Go-, Java- und Ruby-Snippets zur einfachen Integration in KI-Workflows.
Dokumentation
curl --request GET
--url https://api.brightdata.com/datasets/snapshots/{id}/download
--header 'Authorization: Bearer '
Anfragen importieren
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'
erfordern 'net/http'
url = URI("https://api.brightdata.com/datasets/snapshots/{id}/download")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
Anfrage = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer '
response = http.request(request)
puts response.read_body
Google reviews datasets tailored to your needs
Daten-Abonnement
Abonnieren Sie den Zugang zu Datensätzen zu deutlich reduzierten Kosten.
Datei-Ausgabeformate
JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz-Komprimierung.
Flexible Lieferung
Snowflake, Amazon S3-Bucket, Google Cloud, Azure und SFTP.
Skalierbare Daten
Skalieren Sie, ohne sich um Infra, Proxy-Server oder Blöcke kümmern zu müssen.
Kosteneinsparungen
Passen Sie jeden Datensatz mithilfe von Filtern und Formatierungsoptionen an.
Codepflege
Die Datensätze werden auf der Grundlage von Änderungen der Website-Struktur gepflegt.
Vereinfachte Integrationen
Profitieren Sie von Integrationen mit Snowflake und AWS.
24/7-Support
Ein engagiertes Team von Datenexperten ist für Sie da.
Führend bei der Einhaltung von Vorschriften
Die Daten werden nach ethischen Grundsätzen und unter Einhaltung aller Datenschutzgesetze erhoben.
Get structured and reliable Google reviews data
Wir liefern die Daten, während Sie sich auf den Rest konzentrieren
Umfangreiche Webdaten
Durch unsere Entsperrungsfunktionen und IP-Rotation rund um die Uhr gewährleisten wir den Zugriff auf alle Datenpunkte einer Website.
Daten zur sofortigen Verwendung
Im Rahmen unseres robusten Datenvalidierungsprozesses wird jeder Aspekt der Datenerfassung sorgfältig validiert.
Automatisierter Datenfluss
Erstellen Sie benutzerdefinierte Zeitpläne, um die Datenübermittlung zu automatisieren, und beobachten Sie, wie die Daten reibungslos in Ihren Speicher fließen.
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.