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.
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
Instagram - Posts
Google Maps full information
Zillow properties listing information
LinkedIn posts
X (formerly Twitter) - Posts
TikTok - Profiles
Youtube - Videos posts
Amazon Reviews
TikTok - Posts
Facebook - Pages Posts by Profile URL
Indeed job listings information
Companies information enriched dataset
Shopee - products
Walmart - products
TikTok Shop
Employees business enriched dataset
YouTube - Channels
Reddit- Posts
Glassdoor companies overview information
Google maps reviews
Instagram - Reels
Airbnb Properties Information
X (formerly Twitter) - Profiles
IMDB media
Filter the Google Reviews Dataset dataset with a single prompt
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- Describe data needs in plain English
- AI applies accurate filters automatically
- Narrow huge datasets to only what matters to you
- Cut costs by skipping irrelevant data
- Export filtered data in your preferred format
Maximize value with strategic cost savings
Smart Data Updates
Access only "New Records" or "Updated Records," ensuring you pay only for what you need"
Dataset Bundles
Gain greater value by purchasing two or more datasets together, with exclusive discounts.
Volume Discounts
Get more for less with significant savings when purchasing large datasets or updates subscriptions
Enriched Datasets
Save time and resources with pre-built datasets that combine multiple sources into one clean dataset
Datasets Pricing
- Clean and validated
- Refreshed monthly
- JSON/CSV/Parquet
Power AI Agents Instantly
Our Google Reviews Dataset datasets are AI/LLM-optimized: clearly structured, well-documented, with code and recipes for easy LLM/chatbot integration.
Structured & Clean
Pre-processed data with consistent schemas, perfect for AI model training and inference.
Code Examples
Ready-to-use Python, Node.js, cURL, PHP, Go, Java, and Ruby snippets for easy integration with AI workflows.
Documentation
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
Google reviews datasets tailored to your needs
Data subscription
Subscribe to access datasets at a significantly reduced cost.
File output formats
JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.
Flexible delivery
Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.
Scalable data
Scale without worrying about infra, proxy servers, or blocks.
Cost savings
Customize any dataset using filters and formatting options.
Code maintenance
Datasets are maintained based on website structure changes.
Simplified integrations
Benefit from integrations with Snowflake and AWS.
24/7 support
A dedicated team of data professionals is here to help.
Leaders in compliance
Data is ethically obtained and compliant with all privacy laws.
Get structured and reliable Google reviews data
We’ll provide the data while you focus on the rest

High-volume web data
With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.

Data for immediate use
Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.

Automated data flow
Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.
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.