Restaurants Dataset

The Restaurants dataset provides comprehensive insights into dining establishments worldwide. The dataset includes key details such as restaurant names, addresses, contact information, cuisine types, operating hours, ratings, reviews, price ranges, menus, amenities, photos, and location data, offering valuable information for market analysis, competitive intelligence, and business development.

Restaurants Dataset hero image
Number of datasets
4
Total records
18.4M+
Starts at
Up to $0.0025 per record
Min Order
$250
GDPR ready
DATASET MARKETPLACE

Available Restaurant Datasets

Access fresh validated restaurant datasets. Ensure hassle-free data access by using ready-made datasets.
  • Demo data in JSON/CSV
  • Fresh records
  • Customize, enrich, and format the data

Google Maps full information

Place id, URL, Country, Name, Category, Address, Description, Business details, and more.
Business
Views7.4K+
Downloads877+

Google maps reviews

URL, Place id, Place name, Country, Address, Review id, Reviewer name, Reviews by reviewer, and more.
Business
Views2.8K+
Downloads213+

Yelp businesses overview

Business id, Yelp biz id, Name, Updates from business, Overall rating, Reviews count, Is claimed, Categories, and more.
Business
Views2.2K+
Downloads186+

Yelp businesses reviews

Business id, Review auther, Rating, Date, Content, Review image, Reactions, Replies, and more.
Business
Views1.1K+
Downloads104+

Filter the Restaurants dataset with a single prompt

Describe exactly what you need, and let AI apply the perfect filters in seconds.

  • 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
Available delivery options
delivery methods
NEW!

Maximize value with strategic cost savings

Managed Data Collection_box

Smart Data Updates

Access only "New Records" or "Updated Records," ensuring you pay only for what you need"

dataset bundles

Dataset Bundles

Gain greater value by purchasing two or more datasets together, with exclusive discounts.

discounts

Volume Discounts

Get more for less with significant savings when purchasing large datasets or updates subscriptions

enriched datasets

Enriched Datasets

Save time and resources with pre-built datasets that combine multiple sources into one clean dataset

Restaurants dataset sample

The Restaurants dataset includes key details such as restaurant names, addresses, phone numbers, websites, cuisine types, operating hours, ratings, review counts, price ranges, delivery options, reservation availability, amenities, photos, geographic coordinates, and more.

Need real-time restaurant data?
Explore our Web Scraper APIs

Datasets Pricing

Refresh rate
100K
500K
1M
5M
20M
Complete Dataset
3TB
  • Clean and validated
  • Refreshed monthly
  • JSON/CSV/Parquet

Power AI Agents Instantly

Our Restaurants datasets are AI/LLM-optimized: clearly structured, well-documented, with code and
recipes for easy LLM/chatbot integration.

structured data

Structured & Clean

Pre-processed data with consistent schemas, perfect for AI model training and inference.

code examples

Code Examples

Ready-to-use Python, Node.js, cURL, PHP, Go, Java, and Ruby snippets for easy integration with AI workflows.

documentation

Documentation

Comprehensive guides and notebooks for ChatGPT, Claude, and other LLM integrations.
                              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
                              
                            

Restaurants datasets tailored to your needs

Get easy to use, well-structured datasets for any use case

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.

unlimited sessions

Code maintenance

Datasets are maintained based on website structure changes.

Simplified integrations

Benefit from integrations with Snowflake and AWS.

support

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 restaurant 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 Restaurants datasets

Competitive intelligence

Analyze restaurant density, cuisine distribution, and pricing strategies across different regions. Use the Restaurants dataset to identify market gaps, understand competitive landscapes, track new restaurant openings, and discover opportunities for expansion or differentiation in specific geographic areas and cuisine categories.
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Trend Discovery

Business development

Build targeted prospect lists for food service suppliers, delivery platforms, or marketing agencies. Leverage restaurant contact information including phone numbers, emails, and addresses to create outreach campaigns, partner with establishments, and develop business relationships within the food and hospitality industry.
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Find Influencers

Sentiment analysis

Analyze restaurant ratings, reviews, and customer feedback to understand dining preferences and satisfaction levels. Use the dataset to track reputation trends, identify top-rated establishments, understand cuisine popularity, and gather insights into consumer behavior and dining trends across different markets and demographics.
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Monitor Brand Reputation

Bright Data's products are used by the world’s top brands

We help businesses grow with secure, scalable, flexible data management.

Restaurants Dataset FAQs

The Restaurants dataset includes different data points that fit your needs. Some of the data points include: restaurant name, address, phone number, website, email, cuisine type, operating hours, ratings, review count, price range, menu information, delivery options, reservation availability, amenities, photos, geographic coordinates, and more.

Yes, you can get updates to your Restaurants dataset on a daily, weekly, monthly, or custom basis to track new openings and changes.

Yes, you can purchase a Restaurants subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.

Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.

If you don't want to purchase a dataset, you can start scraping restaurant data using our Web Scraper APIs for various platforms.

Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.

Yes, you can request specific data points from the Restaurants dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.

Absolutely, the Restaurants dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.

Restaurants Dataset FAQs

Yes, you can get updates to your Restaurants dataset on a daily, weekly, monthly, or custom basis.

Yes, you can purchase a Restaurants subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.

Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.

Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.

Yes, you can request specific data points from the Restaurants dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.

Absolutely, the Restaurants dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.

Get your Restaurants dataset today.