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.
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Available Restaurant Datasets
- Demo data in JSON/CSV
- Fresh records
- Customize, enrich, and format the data
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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
- 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 & 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
Restaurants 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 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
Business development
Sentiment analysis
Bright Data's products are used by the world’s top brands
Restaurants Dataset FAQs
What data is included in the Restaurants dataset?
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.
Can I get updates for my purchased Restaurants dataset?
Yes, you can get updates to your Restaurants dataset on a daily, weekly, monthly, or custom basis to track new openings and changes.
Can I purchase a subset of the Restaurants dataset?
Yes, you can purchase a Restaurants 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 Restaurants dataset?
Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.
Can I scrape restaurant data by myself?
If you don't want to purchase a dataset, you can start scraping restaurant data using our Web Scraper APIs for various platforms.
Can I get a data sample?
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.
Can I request specific data points from the Restaurants 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.
Is it possible to integrate the Restaurants dataset directly into my existing systems?
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
Can I get updates for my purchased Restaurants dataset?
Yes, you can get updates to your Restaurants dataset on a daily, weekly, monthly, or custom basis.
Can I purchase a subset of the Restaurants dataset?
Yes, you can purchase a Restaurants 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 Restaurants dataset?
Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.
Can I get a data sample?
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.
Can I request specific data points from the Restaurants 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.
Is it possible to integrate the Restaurants dataset directly into my existing systems?
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.