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Swiggy Restaurant / Dish Extractor

Pricing

from $4.00 / 1,000 results

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Swiggy Restaurant / Dish Extractor

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

Smacient

Maintained by Community

Actor stats

0

Bookmarked

5

Total users

5

Monthly active users

2 days ago

Last modified

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Swiggy Restaurant Scraper 🍽️

Effortlessly extract restaurant data from Swiggy with our powerful scraper. Get restaurants URL, their ratings, offers, cuisines, and more in few seconds.

✨ Features

  • πŸͺ Comprehensive Data: Extract restaurant names, ratings, cuisines, prices, and more
  • 🎯 Smart Search: Search by cuisine type or restaurant name
  • πŸ“ Location-Based: Support for almost all cities
  • πŸ“Š Structured Output: Clean JSON format ready for analysis
  • πŸ’° Offer Detection: Automatically extracts current promotional offers
  • πŸ† Rating & Reviews: Get detailed rating information and review counts
  • πŸ–ΌοΈ Restaurant Images: Direct links to high-quality restaurant images

πŸ“‹ 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)

πŸ” Example Input

{
"location": "Chennai",
"searchTerm": "Biryani",
"maxResults": 50
}

πŸ“Š 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": "β‚Ή400 for two",
"costForTwoMessage": "β‚Ή400 for two",
"distance": "3.5 km",
"offer": "50% OFF UPTO β‚Ή100",
"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"
}

🎯 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

πŸŒ† Supported Cities (50+)

Almost any City!

πŸ’‘ Tips for Best Results

  1. Use Specific Search Terms: Instead of "food", try "North Indian" or "Chinese"
  2. Popular Locations: Major cities have more comprehensive data
  3. Reasonable Limits: Set maxResults to avoid unnecessarily long runs
  4. Monitor Offers: Offers change frequently - run regularly for updates
  5. Combine with Other Tools: Export data to spreadsheets for analysis

πŸ” 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

πŸ“ž 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

πŸ”„ 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

πŸ“ˆ 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

πŸ† Why Choose This Actor?

βœ… Most Comprehensive Data: Extracts 20+ fields per restaurant βœ… Production Ready: Built with enterprise-grade error handling βœ… Fast & Efficient: Optimized for speed and resource usage βœ… Well Documented: Clear examples and detailed output schema βœ… Actively Maintained: Regular updates and improvements βœ… Great Support: Responsive to issues and feature requests