Swiggy Restaurant Scraper

What does Swiggy Restaurant Scraper do?

Swiggy Restaurant Scraper is a Swiggy restaurant data extractor for collecting structured restaurant listings across Indian cities. Provide a Swiggy city or city collection URL, or provide a location with an optional food or cuisine keyword, and receive restaurant names, cuisines, ratings, delivery estimates, pricing hints, offers, areas, and restaurant URLs in an Apify dataset.

The Actor is useful for restaurant market research, cuisine discovery, competitor monitoring, local business intelligence, and lead-list building. Each result is saved as a clean record, with empty values omitted when Swiggy does not publish a field.

Why use Swiggy Restaurant Scraper?

• City-level restaurant discovery - Collect restaurants visible in a Swiggy city or city collection page.
• Cuisine and dish research - Search for terms such as biryani, pizza, burgers, or desserts around a resolved city.
• Competitive benchmarking - Compare ratings, cuisines, cost-for-two text, delivery estimates, badges, and discounts across areas.
• Local market mapping - Build datasets for neighborhoods, restaurant partnerships, cloud-kitchen research, or food delivery analysis.
• Automation-ready output - Download JSON, CSV, Excel, or XML, schedule repeat runs, use webhooks, and connect the dataset to other Apify workflows.
• Flexible collection limits - Control the number of saved restaurants and the geographic expansion limit for broader city coverage.

What data can you extract from Swiggy?

The dataset contains one item per restaurant. Keyword runs can also include up to five matching dishes for each restaurant.

Field	Type	Description
restaurantId	String	Swiggy restaurant identifier
name	String	Restaurant name
url	String	Direct Swiggy restaurant page URL
sourceType	String	city_listing or keyword_search
city	String	Resolved city name
citySlug	String	Swiggy city slug
locality	String	Restaurant locality
areaName	String	Restaurant area or neighborhood
address	String	Address when available
cuisines	Array	Cuisine labels shown for the restaurant
costForTwo	String	Cost-for-two text shown by Swiggy
avgRating	Number or String	Average rating value
avgRatingString	String	Rating formatted as shown by Swiggy
totalRatingsString	String	Rating count text, such as 32K+
deliveryTime	Integer	Estimated delivery time in minutes
minDeliveryTime	Integer	Minimum estimated delivery time
maxDeliveryTime	Integer	Maximum estimated delivery time
lastMileTravelKm	Number	Estimated last-mile distance in kilometers
slaString	String	Delivery estimate text
isOpen	Boolean	Whether the restaurant is currently open when available
nextCloseTime	String	Next closing time when available
parentId	String	Parent brand identifier when available
cloudinaryImageId	String	Swiggy image identifier
imageUrl	String	Restaurant image URL
discountSummary	String	Discount or offer summary
badges	Array	Badge descriptions shown for the restaurant
externalRating	String	External rating when available
externalRatingCount	String	External rating count when available
matchedDishes	Array	Matching dish details for keyword searches

How to scrape Swiggy restaurant data

1. Open Swiggy Restaurant Scraper on Apify.
2. Enter a Swiggy city URL, or enter a location if you are not using a URL.
3. Add an optional keyword for a dish, cuisine, or restaurant search.
4. Set resultsWanted and maxPages for the size and coverage you need.
5. Run the Actor and review the dataset preview.
6. Export the results or connect them to a scheduled workflow, webhook, or integration.

At least one of url or location must provide the city context. A keyword by itself is not enough because Swiggy search results need a city location.

Input Parameters

Parameter	Type	Required	Default	Description
url	String	No	https://www.swiggy.com/city/bangalore	Swiggy city or city collection URL. Use this for city browsing and city-specific searches.
keyword	String	No	biryani	Optional restaurant, dish, or cuisine keyword.
location	String	No	Bangalore	City, area, or location used when a Swiggy URL is not provided.
resultsWanted	Integer	No	20	Maximum number of restaurant records to save.
maxPages	Integer	No	3	Maximum number of geographic or page expansion attempts used to find more results.
proxyConfiguration	Object	No	{"useApifyProxy": false}	Optional Apify Proxy settings for repeated or larger runs.

Usage Examples

Basic city collection

Collect restaurants from a Swiggy city page:

{
  "url": "https://www.swiggy.com/city/bangalore",
  "resultsWanted": 20,
  "maxPages": 2
}

Keyword search around a city

Find restaurants associated with a food keyword while keeping the result set tied to a Swiggy city:

{
  "url": "https://www.swiggy.com/city/bangalore/best-restaurants",
  "keyword": "pizza",
  "resultsWanted": 25
}

Location-based cuisine search

Use a location without a URL and search for a specific cuisine or dish:

{
  "location": "Koramangala Bangalore",
  "keyword": "desserts",
  "resultsWanted": 15,
  "maxPages": 3
}

Larger run with Apify Proxy

Enable Apify Proxy when collecting a larger dataset or running repeated monitoring jobs:

{
  "url": "https://www.swiggy.com/city/mumbai",
  "resultsWanted": 100,
  "maxPages": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Sample Output

This is an example of one dataset item from a keyword search. Fields that are unavailable for a particular restaurant are omitted.

{
  "sourceType": "keyword_search",
  "restaurantId": "18972",
  "name": "Nandhana Palace",
  "url": "https://www.swiggy.com/city/bangalore/nandhana-palace-indiranagar-indiranagar-rest18972",
  "city": "Bangalore",
  "citySlug": "bangalore",
  "locality": "Indiranagar",
  "areaName": "Indiranagar",
  "cuisines": [
    "Biryani",
    "Andhra",
    "South Indian",
    "North Indian"
  ],
  "costForTwo": "₹500 FOR TWO",
  "avgRating": 4.4,
  "avgRatingString": "4.4",
  "totalRatingsString": "32K+",
  "deliveryTime": 53,
  "minDeliveryTime": 50,
  "maxDeliveryTime": 60,
  "slaString": "50-60 MINS",
  "isOpen": true,
  "imageUrl": "https://media-assets.swiggy.com/swiggy/image/upload/RX_THUMBNAIL/IMAGES/VENDOR/2024/11/21/9ea12882-e49f-49d2-92e9-0b2f7cdb79b3_18972.jpg",
  "matchedDishes": [
    {
      "name": "Bowl Hyderabadi Paneer Biryani",
      "category": "Bowl Biryani",
      "description": "Paneer biryani bowl",
      "price": "INR 245.00",
      "finalPrice": "INR 220.00",
      "rating": "4.6",
      "ratingCount": "120",
      "inStock": true,
      "isVeg": true
    }
  ]
}

Tips for best results

• Use a complete city URL - Prefer a URL such as https://www.swiggy.com/city/bangalore or a current Swiggy city collection URL for broad restaurant discovery.
• Start with a small limit - Test with resultsWanted between 10 and 20, then increase it after confirming the city and output shape.
• Use focused keywords - Cuisine and dish terms such as biryani, pizza, south indian, and desserts are useful for targeted research.
• Increase maxPages gradually - A higher value can broaden geographic coverage, but the number of available listings depends on Swiggy and the selected city.
• Expect source-dependent fields - Ratings, offers, images, addresses, and delivery values are not published for every restaurant. Missing values are removed from the record.
• Schedule repeat runs for monitoring - Compare datasets over time to track restaurant visibility, delivery estimates, ratings, and offers.

Integrations and export formats

• Google Sheets - Review restaurant lists, compare cities, and share market research.
• Airtable - Build a searchable restaurant directory with filters for cuisine, rating, area, or delivery time.
• Make or Zapier - Trigger enrichment, notifications, or follow-up workflows.
• Webhooks - Send completed run results to your own service.
• Apify API - Access datasets programmatically from applications and data pipelines.

Format	Best for
JSON	APIs, nested matchedDishes, and application workflows
CSV	Spreadsheet analysis and lead lists
Excel	Business reporting and sharing
XML	Structured system imports

Frequently Asked Questions

Can I run the Actor with only a keyword?

No. Add a Swiggy city URL or a location value so the keyword search has a city context.

Which Swiggy URLs work best?

Swiggy city URLs and city collection URLs work best, including pages such as https://www.swiggy.com/city/bangalore and current city category pages.

Does the Actor collect menu items?

The primary output is restaurant-focused. Keyword searches can include up to five matching dishes with names, categories, prices, ratings, availability, and related details when Swiggy provides them.

Can I collect every restaurant in a city?

Coverage depends on the city, available listings, keyword, result limit, and expansion options exposed by Swiggy. Use a higher resultsWanted value and increase maxPages gradually for broader collection.

Why are some output fields missing?

Swiggy does not provide every field for every listing. The Actor omits empty values so the dataset remains compact and easier to process.

Can I run this Actor on a schedule?

Yes. Create an Apify schedule to run it hourly, daily, weekly, or at another interval, then compare the resulting datasets for monitoring and reporting.

Is it legal to collect Swiggy data?

Public web data collection can be subject to laws, privacy requirements, and website terms. You are responsible for using the dataset lawfully and respecting Swiggy's terms, access controls, and applicable data-governance rules.

Related Actors

• Food Panda Scraper - Collect restaurant listings, menus, prices, ratings, delivery estimates, and reviews from Foodpanda Pakistan.
• OpenTable Scraper - Collect restaurant listings, cuisine types, ratings, review counts, locations, and dining details from OpenTable.

Support

For issues, feature requests, or unexpected output, use the Issues tab on the Actor page or contact the developer through Apify. Include the input URL, the input values, and a small example of the affected output when reporting a problem.

Legal Notice

This Actor is intended for legitimate research, analysis, and business data workflows using publicly available information. Users are responsible for complying with applicable laws, Swiggy's terms of service, privacy rules, and any restrictions related to collecting, storing, or using restaurant data.