logiover/swiggy-restaurant-scraper-sample-data

Swiggy Restaurant Scraper

Scrape restaurant listings from Swiggy.com — India's #2 food delivery platform. Extract name, location, rating, cuisines, delivery time, cost and discount data. Fast, zero-browser API architecture.

What the actor scrapes

Swiggy Restaurant Scraper — Scrape Swiggy Restaurants, Menus, Ratings & Prices Scrape Swiggy, one of India's leading food delivery platforms, and export restaurant profiles, full digital menus, ratings, delivery estimates and pricing to JSON, CSV or Excel. This Swiggy restaurant scraper interfaces directly with Swiggy's internal API instead of rendering the heavy React frontend, so it runs fast, reliably and cheaply — ideal for Indian food-market research, competitive pricing intellige

Who this is for

This sample is useful for anyone working in ecommerce, lead generation who wants a quick look at the shape of the data before running the live actor at scale. Treat it as a static snapshot — counts, prices and timestamps reflect the moment the sample was captured and will drift over time.

Source

Live source: This dataset is a static sample. For fresh, customizable extractions, run the live Apify actor: logiover/swiggy-restaurant-scraper

Fields

• restaurantId — identifier
• name — name of the entity
• url — canonical URL of the item
• city — city name
• area — field captured by the actor
• avgRating — field captured by the actor
• ratingCount — numeric count
• costForTwo — field captured by the actor
• cuisines — field captured by the actor
• deliveryTime — timestamp
• deliveryFee — field captured by the actor
• isOpen — boolean flag
• isPromoted — boolean flag
• isVeg — boolean flag
• badges — field captured by the actor
• discount — numeric count
• imageUrl — URL reference
• searchCity — field captured by the actor
• scrapedAt — timestamp the row was scraped

Sample preview

[
  {
    "restaurantId": "564978",
    "name": "Pizza Hut",
    "url": "https://www.swiggy.com/city/bangalore/pizza-hut-hosahalli-rest564978",
    "city": "bangalore",
    "area": "Hosahalli",
    "avgRating": 4.4,
    "ratingCount": "2.5K+",
    "costForTwo": "₹350 for two",
    "cuisines": [
      "Pizzas"
    ],
    "deliveryTime": 32,
    "deliveryFee": null,
    "isOpen": true,
    "isPromoted": false,
    "isVeg": null,
    "badges": [],
    "discount": null,
    "imageUrl": "https://media-assets.swiggy.com/swiggy/image/upload/RX_THUMBNAIL/IMAGES/VENDOR/2026/2/12/9e6442c8-92b1-40a8-958a-2c8d9426104a_564978.JPG",
    "searchCity": "bangalore",
    "scrapedAt": "2026-05-14T12:16:39.923Z"
  },
  {
    "restaurantId": "376986",
    "name": "Chinese Wok",
    "url": "https://www.swiggy.com/city/bangalore/chinese-wok-kumaraswamy-layout-rest376986",
    "city": "bangalore",
    "area": "Kumaraswamy Layout",
    "avgRating": 4.3,
    "ratingCount": "5.6K+",
    "costForTwo": "₹250 for two",
    "cuisines": [
      "Chinese",
      "Asian",
      "Tibetan",
      "Desserts"
    ],
    "deliveryTime": 49,
    "deliveryFee": null,
    "isOpen": true,
    "isPromoted": false,
    "isVeg": null,
    "badges": [],
    "discount": "ITEMS AT ₹148",
    "imageUrl": "https://media-assets.swiggy.com/swiggy/image/upload/e0839ff574213e6f35b3899ebf1fc597",
    "searchCity": "bangalore",
    "scrapedAt": "2026-05-14T12:16:39.996Z"
  }
]

Snapshot stats

• Row count in this sample: 54
• Data quality flag at capture time: EXISTING_USED

License & Attribution

Released under Creative Commons Attribution 4.0 (CC BY 4.0). If you use this data, please credit the source actor and link back to its Apify Store page: logiover/swiggy-restaurant-scraper.

The sample is provided as-is for evaluation and research. Source websites retain their own terms of service — downstream users are responsible for complying with them when running the live actor or redistributing scraped content.