Google Reviews Dataset
The Google Maps reviews 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 40.8M records available
- 100% ethical and compliant data collection
- Accurate reviews data from Google
- Free data samples for download
Confiado por 20,000+ clientes
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
Google Maps full information
Facebook - Pages Posts by Profile URL
Youtube - Videos posts
Amazon Reviews
TikTok - Posts
Indeed job listings information
Shopee - products
Walmart - products
Companies information enriched dataset
Employees business enriched dataset
TikTok Shop
YouTube - Profiles
Glassdoor companies overview information
IMDB media
Airbnb Properties Information
X (formerly Twitter) - Profiles
Google News
Yahoo Finance business information
Google maps reviews
Reddit- Posts
Instagram - Reels
Booking Hotel Listings
Shein- Products
Yelp businesses overview
Instagram - Comments
Facebook - Comments
LinkedIn profiles Jobs Listings
Glassdoor companies reviews
Zoominfo companies information
pitchbook companies information
Glassdoor job listings information
Otodom Poland
Google Shopping
Amazon sellers info
Amazon products global dataset
eBay
Github repository
Amazon best seller products
Australia real estate properties
Facebook - Posts by group URL
Home Depot US
Facebook - Posts by post URL
Facebook Marketplace
TikTok - Comments
Google Play Store
Trustpilot business reviews
Etsy
G2 software - product reviews
Amazon products search
Booking Listings Search
Goodreads books
Yelp businesses reviews
Amazon Walmart
Reddit - Comments
Zara - Products
Zillow price history
World population
Indeed companies info
Zoopla properties listing information
Target
Wikipedia articles
Lazada - Products
Pinterest - Posts
Youtube - Comments
NBA players' stats
Best Buy products
Ikea - Products
Walmart sellers info
Facebook Events
Sephora products
Realtor international properties listings
OLX Brazil - marketplace ads
Ozon.ru products
BBC news
Lowes.com
Google Play Store reviews
Facebook - Reels by profile URL
Xing social network
Myntra products
Facebook Company Reviews
Google Shopping products search US
Owler companies information
Creative Commons Images
H&M - Products
Facebook - Profiles
Naver products
Slintel 6sense company information
Webmotors Brasil - Cars Listings
US lawyers directory
Wayfair products
Tokopedia Products
Apple App Store reviews
CNN news
Digikey - Products
Wildberries.ru products
Manta businesses
Mouser - Products
Agoda Properties Listings
Zonaprop Argentina - Properties Listing
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
Facebook - Pages and Profiles
Asos - Products
Lazada - Reviews
Hermes- Products
Bluesky - Posts
Trustradius product reviews
Lego - Products
Vimeo - Videos posts
World zipcodes
Metrocuadrado - Properties Listings
Chanel Products
Lazada products search (GMV)
Home Depot CA
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
Infocasas Uruguay - Properties Listings
Mango Products
Balenciaga.com - Products
Mediamarkt.de products
Fanatics.com - Products
Toysrus - Products
mercadolivre.com.br products
Twitch - streams dataset
Carters.com - Products
Loewe.com - Products
Zara Home Products
ChatGPT Search
Prada.com - Products
Rona.ca products
Crateandbarrel - Products
Ysl.com - Products
Delvaux - Products
Fendi Products
Massimo Dutti - Products
Bottegaveneta.com - Products
Mattressfirm - Products
llbean.com - Products
Sleepnumber.com - Products
Raymourflanigan.com - Products
Mybobs.com - Products
Celine.com - Products
La-z-boy.com - Products
Berluti.com - Products
Kroger.com
Montblanc - Products
Walmart - products zipcodes
Moynat.com - Products
Google SERP - 100 Results
Threads - Posts
Zillow Full Properties Information
Google AI Mode Search
Agoda Listings Search
Threads - Profiles
Gemini Search
LinkedIn people search
Grok Search
Zillow properties search page
Perplexity Search
Walmart products search
Bing Copilot Search
Snapchat posts
Goodreads reviews
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
Google Hotel
Reddit - Profiles
Maximizar el valor con un ahorro estratégico de costes
Actualización inteligente de datos
Acceda sólo a "Registros nuevos" o "Registros actualizados", asegurándose de pagar sólo por lo que necesita".
Conjuntos de datos
Obtenga mayor valor comprando dos o más conjuntos de datos juntos, con descuentos exclusivos.
Descuentos por volumen
Obtenga más por menos con importantes ahorros al adquirir grandes conjuntos de datos o suscripciones a actualizaciones.
Conjuntos de datos enriquecidos
Ahorre tiempo y recursos con conjuntos de datos preconstruidos que combinan múltiples fuentes en un conjunto de datos limpio.
Precios de Conjuntos de Datos
- Limpio y validado
- Actualización mensual
- JSON/CSV/Parquet
Potencie los agentes de IA al instante
Nuestros conjuntos de datos Google Reviews Dataset están optimizados para AI/LLM: claramente estructurados, bien documentados, con código y recetas para una fácil integración LLM/chatbot. recetas para una fácil integración LLM/chatbot.
Estructurado y limpio
Datos preprocesados con esquemas coherentes, perfectos para el entrenamiento y la inferencia de modelos de IA.
Ejemplos de códigos
Fragmentos de Python, Node.js, cURL, PHP, Go, Java y Ruby listos para usar que se integran fácilmente en los flujos de trabajo de IA.
Documentación
curl --request GET
--url https://api.brightdata.com/datasets/snapshots/{id}/download
--header 'Autorización: Portador '
importar solicitudes
url = "https://api.brightdata.com/datasets/snapshots/{id}/download"
headers = {"Authorization": "Bearer "}
response = requests.get(url, headers=headers)
print(respuesta.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(datos);
} catch (error) {
console.error(error);
}
HttpResponse response = Unirest.get("https://api.brightdata.com/datasets/snapshots/{id}/download")
.header("Authorization", "Portador ")
.asString();
requerir "uri
requiere "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"] = 'Portador '
response = http.request(request)
puts respuesta.leer_cuerpo
Google reviews datasets tailored to your needs
Suscripción de datos
Suscríbase para acceder a los conjuntos de datos a un coste significativamente reducido.
Formatos de archivo
JSON, NDJSON, JSON Lines, CSV, Parquet. Compresión .gz opcional.
Entrega flexible
Snowflake, Amazon S3 bucket, Google Cloud, Azure y SFTP.
Datos escalables
Amplíe sin preocuparse por la infraestructura, los servidores proxy o los bloqueos.
Ahorro de costes
Personaliza cualquier conjunto de datos mediante filtros y opciones de formato.
Mantenimiento del código
Los conjuntos de datos se actualizan en función de los cambios en la estructura del sitio web.
Integraciones simplificadas
Benefíciese de las integraciones con Snowflake y AWS.
Asistencia 24/7
Un equipo especializado de profesionales de datos está aquí para ayudarte.
Líderes en cumplimiento
Los datos se obtienen de forma ética y cumplen todas las leyes de privacidad.
Get structured and reliable Google reviews data
Te facilitamos los datos mientras tú te centras en lo demás
Datos web de gran volumen
Con nuestras funciones de desbloqueo y de rotación de las direcciones IP las 24 horas del día, garantizamos el acceso a todos los puntos de datos de un sitio web.
Datos para uso inmediato
Todos los aspectos del proceso de recopilación de datos se validan a fondo como parte de nuestro potente proceso de validación de datos.
Flujo de datos automatizado
Crea cronogramas personalizados para automatizar la entrega de datos y comprueba cómo los datos fluyen sin problemas hacia su almacenamiento.
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.