Swiggy Restaurant / Dish Extractor
Pricing
from $4.00 / 1,000 results
Swiggy Restaurant / Dish Extractor
Effortlessly get the various restaurants or dishes data from Swiggy within seconds.
Pricing
from $4.00 / 1,000 results
Rating
5.0
(1)
Developer

Smacient
Actor stats
0
Bookmarked
5
Total users
5
Monthly active users
2 days ago
Last modified
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Swiggy Restaurant Scraper π½οΈ
Effortlessly extract restaurant data from Swiggy with our powerful scraper. Get restaurants URL, their ratings, offers, cuisines, and more in few seconds.
β¨ Features
- πͺ Comprehensive Data: Extract restaurant names, ratings, cuisines, prices, and more
- π― Smart Search: Search by cuisine type or restaurant name
- π Location-Based: Support for almost all cities
- π Structured Output: Clean JSON format ready for analysis
- π° Offer Detection: Automatically extracts current promotional offers
- π Rating & Reviews: Get detailed rating information and review counts
- πΌοΈ Restaurant Images: Direct links to high-quality restaurant images
π Input Configuration
Required Fields
- Delivery Location: City name or delivery location (e.g., Chennai, Mumbai, Bangalore)
- Search Term: Cuisine type or restaurant name (e.g., Pizza, Biryani, KFC)
Optional Fields
- Maximum Results: Number of restaurants to scrape (Default: 99999 for unlimited)
π Example Input
{"location": "Chennai","searchTerm": "Biryani","maxResults": 50}
π Output Data
Each restaurant entry includes:
{"restaurantName": "Paradise Biryani","restaurantId": "12345","rating": 4.3,"ratingCount": "10K+ ratings","cuisines": "Biryani, North Indian, Chinese","cuisinesList": ["Biryani", "North Indian", "Chinese"],"areaName": "T Nagar","locality": "Pondy Bazaar","deliveryTime": "30-35 mins","deliveryTimeMinutes": 32,"price": "βΉ400 for two","costForTwoMessage": "βΉ400 for two","distance": "3.5 km","offer": "50% OFF UPTO βΉ100","promoted": false,"isOpen": true,"badges": ["Bestseller"],"restaurantUrl": "https://www.swiggy.com/city/chennai/paradise-biryani-rest12345","imageUrl": "https://media-assets.swiggy.com/swiggy/image/upload/...","veg": false,"location": "Chennai","searchTerm": "Biryani"}
π― Use Cases
- Market Research: Analyze restaurant offerings and pricing in different cities
- Price Monitoring: Track restaurant prices and offers over time
- Competitive Analysis: Compare restaurants by ratings, and cuisines
- Location Intelligence: Understand restaurant density and distribution
- Offer Tracking: Monitor promotional campaigns and discounts
- Menu Analysis: Study cuisine trends and popular food categories
- Delivery Optimization: Analyze delivery times and service areas
- Business Intelligence: Generate insights for restaurant industry analysis
π Supported Cities (50+)
Almost any City!
π‘ Tips for Best Results
- Use Specific Search Terms: Instead of "food", try "North Indian" or "Chinese"
- Popular Locations: Major cities have more comprehensive data
- Reasonable Limits: Set maxResults to avoid unnecessarily long runs
- Monitor Offers: Offers change frequently - run regularly for updates
- Combine with Other Tools: Export data to spreadsheets for analysis
π Privacy & Compliance
- Scrapes only publicly available data
- No login or authentication required
- Respects Swiggy's public API structure
- Does not access user accounts or private information
π Support & Feedback
- Found a bug? Please report it! @support@smacient.com
- Have suggestions? We'd love to hear them!
- Need custom features? Contact us for enterprise solutions
π Updates & Maintenance
This actor is actively maintained and updated regularly to ensure:
- Compatibility with Swiggy's latest API changes
- Bug fixes and performance improvements
- New features based on user feedback
π Performance
- Speed: ~10 seconds for 50 restaurants
- Accuracy: 99%+ data extraction accuracy
- Reliability: Built-in error handling and retry logic
- Scalability: Handles large-scale extractions efficiently
π Why Choose This Actor?
β Most Comprehensive Data: Extracts 20+ fields per restaurant β Production Ready: Built with enterprise-grade error handling β Fast & Efficient: Optimized for speed and resource usage β Well Documented: Clear examples and detailed output schema β Actively Maintained: Regular updates and improvements β Great Support: Responsive to issues and feature requests