Yelp Scraper
Extract comprehensive business data from Yelp including ratings, reviews, hours, locations, and categories. Our scraping solution handles dynamic content and provides access to detailed business information, customer feedback, and market intelligence.
Monitor business performance, analyze customer sentiment, and track local market dynamics with reliable data extraction. Perfect for restaurant owners, market researchers, real estate professionals, and local business analysts.
- 96.76% success rate (see success rate graph)
- Real-time ratings, review counts, and sentiment analysis across businesses
- Complete business details including hours, phone, address, and categories
- Customer review extraction with ratings and check-in data
- Business attribute tracking including amenities and payment options
- Price level indicators and category classification
Warning: This scraper is available only to enterprise customers. Please contact us for more details.
Yelp Scraper API Use Cases
Restaurant Competitive Intelligence
Monitor competitor ratings, analyze review sentiment, and track menu offerings in your local market. Identify service gaps and optimization opportunities based on customer feedback.
Local Market Research
Study business density, category distribution, and rating patterns across neighborhoods. Analyze market saturation, identify underserved categories, and evaluate expansion opportunities.
Real Estate Location Analysis
Assess neighborhood commercial health using business ratings and density data. Evaluate location desirability for real estate investments based on local business performance.
Consumer Insights & Trends
Analyze customer preferences, review trends, and satisfaction drivers across business categories. Understand what customers value most and how preferences vary by location and demographic.
Extractable Yelp Data Points
Rebrowser Yelp Scraper efficiently connects with Yelp unofficial API interface, allowing users to extract comprehensive data elements from the platform, such as:
- Business names and descriptions
- Star ratings and review counts
- Customer reviews and feedback
- Business hours and holiday hours
- Location and contact information
- Price levels and payment methods
- Categories and attributes
- Photos and menus
- Check-in data
Yelp Scraper Success Rate
The graph below contains real data based on our scraping operations. Latest update was an hour ago.
Ready-to-use Yelp Dataset Available Now!
Access clean, structured Yelp data instantly without building your own scraping infrastructure.
Millions of Yelp data points ready to download
Daily updates with fresh data
Flexible data delivery via API or CSV/JSON exports
Sample Yelp API Response Schema
| Field | Type | Description | Example |
|---|---|---|---|
business_id | string | Unique Yelp business identifier | WavvLdfdP6g8aZTtbBQHTw |
name | string | Business name | Gary Danko |
rating | number | Average star rating out of 5 | 4.5 |
review_count | number | Total number of reviews | 5296 |
categories | array | Business categories | ["New American", "Fine Dining", "French"] |
address | string | Street address | 800 N Point St |
city | string | City name | San Francisco |
state | string | State abbreviation | CA |
postal_code | string | Postal code | 94109 |
phone | string | Business phone number | +1-415-749-2060 |
price_range | string | Price level indicator | $$$$ |
hours | object | Business hours by day | {"Monday": "5:30 PM - 9:00 PM", "Tuesday": "5:30 PM - 9:00 PM"} |
attributes | object | Business attributes and amenities | {"outdoor_seating": true, "reservations": true, "takeout": false} |
Sample Yelp API Response
Devices Available
Profiles Created
Pages Crawled
Success Rate
Yelp Scraping Challenges Solved
Traditional web scraping methods often fail due to sophisticated anti-bot measures and dynamic content.
Companies waste thousands of dollars on unreliable solutions that break regularly and require constant maintenance.
Rebrowser eliminates these headaches with a robust architecture designed to handle even the most protected websites like Yelp.
Contact Us →IP Blocking & CAPTCHAs
Websites detect and block scraping attempts through IP tracking and CAPTCHA challenges, causing project delays.
Dynamic JavaScript Content
Modern sites load content dynamically with JavaScript, making traditional scraping methods ineffective.
Maintenance Nightmare
Websites change structure frequently, breaking scrapers and requiring constant code updates and debugging.
Scaling Difficulties
Managing high-volume scraping operations requires complex infrastructure and load balancing to avoid detection.
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Start transforming your data operations today
We are a small team, focused on building highly specialized solutions that your business needs today.
We can start working on your project tomorrow and get you sample data within a few days.
No endless calls and emails with sales and managers – you get direct access to our core team who handles everything you need.
Get your sample data within 7 days
We can handle any website
Custom built API for your needs
Frequently Asked Questions
Rebrowser can extract data from virtually any public-facing website, including e-commerce platforms, social media networks, review sites, news outlets, financial portals, travel booking systems, real estate listings, job boards, business directories, and government databases. Our specialized extractors are optimized for high-value data sources across various industries.
Yes, Rebrowser supports authenticated scraping through several methods: API parameters for passing credentials, secure session management to maintain logged-in states across requests, cookie handling capabilities, and advanced fingerprinting to prevent account flagging. This enables reliable data extraction from password-protected areas while maintaining account security.
Rebrowser implements a multi-layered data verification system that includes automated structure validation, content consistency checks, sampling verification, and anomaly detection algorithms. For critical applications, we also offer human-in-the-loop verification options to ensure the highest levels of data accuracy and reliability.
Our intelligent proxy selection algorithm considers multiple factors including target website characteristics, historical success rates, current proxy performance metrics, geographic requirements, and specific extraction needs. This dynamic approach ensures each request uses the most appropriate proxy from our diverse pool of 10 providers, maximizing success rates while minimizing detection risk.
Our proprietary mobile proxy farm consists of thousands of real mobile devices distributed globally. These devices operate on authentic mobile networks with genuine IP addresses, making them indistinguishable from regular users. This provides our customers with the most natural browsing fingerprints possible, enabling successful data collection from websites that typically block conventional proxy solutions.
