Yelp Dataset
Access pre-compiled datasets containing millions of Yelp business records with ratings, reviews, and detailed business information across all categories. Our curated datasets include verified businesses from major metropolitan areas and cities worldwide.
Get instant access to structured local business data without web scraping complexity. Ideal for researchers, analysts, and businesses requiring large-scale local market intelligence for strategic decision-making.
- 80,757 new entries per day (see new entries graph)
Warning: This dataset is available only to enterprise customers. Please contact us for more details.
Yelp Dataset Use Cases
Hospitality Academic Research
Conduct research on restaurant economics, customer satisfaction drivers, and service quality with comprehensive business data. Access clean, structured datasets perfect for hospitality and tourism studies.
Restaurant Business Intelligence
Benchmark restaurant performance, analyze market positioning, and identify optimization opportunities using competitive rating and review data. Make data-driven decisions on menu, pricing, and service improvements.
Urban Planning & Development
Analyze commercial corridor health, business mix diversity, and neighborhood economic vitality using comprehensive local business data. Support urban planning and economic development initiatives.
Location Intelligence Platforms
Build location-based services, market analysis tools, and recommendation engines using rich business datasets. Enhance applications with local business intelligence and customer sentiment data.
Yelp Dataset New Entries
The graph below contains real data based on our scraping operations. Latest update was 2 hours ago.
Advanced Yelp Web Scraper Available Now!
Get real-time Yelp data with custom processing to perfectly fit your data pipelines.
Real-time data with live updates from Yelp
Custom data processing to fit your specific pipelines
Scalable infrastructure that bypasses anti-bot measures
Datasets Available
Data Points
Records Processed
Accuracy Rate
Yelp Dataset Benefits
Traditional data acquisition methods can be time-consuming, expensive, and often result in incomplete datasets.
Companies waste valuable resources and development time creating and maintaining their own data collection systems.
Rebrowser's ready-to-use Yelp dataset provides instant access to clean, structured data without any infrastructure headaches.
Contact Us →Immediate Availability
Access ready-to-use data instantly instead of waiting weeks or months to build your own data collection pipeline.
Structured & Clean Data
All datasets are thoroughly processed, normalized, and validated to ensure high-quality, consistent information.
Zero Maintenance
We handle all updates and data freshness, allowing you to focus on using the data rather than collecting it.
Cost Efficiency
Save thousands in development and infrastructure costs by leveraging our pre-built dataset instead of creating your own.
Disclaimer: Rebrowser is an independent data provider and is not affiliated with, endorsed by, or sponsored by Yelp. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect Yelp user credentials. By using this dataset, you agree to comply with Yelp's Terms of Service and all applicable laws and regulations. Images, logos, descriptions, and other materials included in this dataset remain the intellectual property of their respective owners and are provided solely for informational purposes. Rebrowser makes no warranties regarding the accuracy, completeness, or legality of the data and assumes no liability for how the data is used. You are solely responsible for ensuring that your use of this dataset, including any images or copyrighted materials, does not infringe on the rights of any third party.
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Frequently Asked Questions
This dataset provides comprehensive Yelp business listings with ratings, reviews, hours, locations, and categories. You can browse, filter, and export data by category, rating, location, price range, and review count in multiple formats.
The dataset includes star ratings, review counts, and rating distributions for businesses. Analyze how ratings change over time, compare performance across categories, and identify highly-rated establishments in specific markets.
Review data includes customer feedback, ratings, check-in counts, and sentiment indicators. Study what drives positive reviews, identify common complaints, and understand customer satisfaction patterns across business types.
The dataset includes business names, addresses, phone numbers, hours of operation, price levels, categories, amenities, and photos. Analyze business characteristics and offerings across different markets and industries.
Track review velocity, check-in counts, and rating trends to identify popular establishments. Analyze which businesses gain traction quickly and study factors that contribute to business success on Yelp.
Yes — the dataset includes detailed attributes like outdoor seating, delivery options, parking, accessibility, and accepted payment methods. Analyze which amenities correlate with higher ratings and customer satisfaction.
Use Yelp data to compare business density, average ratings, and category distribution across metropolitan areas. Analyze regional preferences, pricing patterns, and market saturation in different locations.
Businesses are categorized across hundreds of industries from restaurants to professional services. Analyze category performance, competitive dynamics, and market opportunities within specific business sectors.
Track new business listings and closure indicators over time. Monitor market dynamics, identify growing neighborhoods, and study business turnover rates across categories and locations.
The dataset is refreshed regularly to capture new businesses, rating changes, new reviews, and hour updates. Historical data enables trend analysis and seasonal pattern identification across local markets.
Restaurant owners and analysts use the dataset to benchmark against competitors, analyze menu pricing strategies, study review sentiment, and identify service gaps in local markets.
Yes — filter by price level ($-$$$$), business category, rating threshold, and location to focus on specific market segments. Analyze how pricing correlates with ratings and review patterns.
The dataset includes check-in data showing when customers visit businesses. Study traffic patterns by day and time, identify peak hours, and understand customer visit frequency.
Data can be exported in CSV, JSON, XLSX, Parquet, and NDJSON formats. Apply filters and select specific fields before exporting to get the precise dataset you need for your analysis or application.
Real estate professionals use the dataset to assess neighborhood commercial vitality, analyze business mix, and evaluate location desirability based on business density and ratings.
