Foodpanda Scraper

Scrape Foodpanda restaurants and their menus in bulk as clean, structured JSON, CSV, Excel or XML. Give it a city (Singapore, Bangkok, Kuala Lumpur, Manila, Taipei, Hong Kong and more) or exact coordinates, and it returns one tidy row per restaurant — name, cuisines, rating, reviews, address, coordinates, minimum order, delivery fee and open status — plus, on request, every menu item with its price. Sweep a whole city with an optional geo-grid. Perfect for food-market research, competitor and price monitoring, lead generation and automation.

What does Foodpanda Scraper do?

This actor turns Foodpanda's restaurant listings into a ready-to-use dataset. Point it at a city or a latitude/longitude, and it collects every restaurant delivering to that area with rich, structured details. Turn on Include menu items and it also pulls each restaurant's full menu — categories, dish names, descriptions and prices — as extra rows. Use the built-in geo-grid to sweep many points across a city and de-duplicate the results automatically, so you get broad, clean coverage in a single run.

What data can you get?

Per restaurant:

Per menu item (when Include menu items is on):

Use cases

• Food-market research — map the restaurants, cuisines and price points in any city.
• Price & competitor monitoring — track delivery fees, minimum orders and menu prices over time.
• Lead generation — build lists of restaurants with addresses and coordinates for sales outreach.
• Menu & pricing analysis — compare dishes and prices across restaurants and neighbourhoods.
• Dashboards & maps — power location, coverage and demand dashboards from clean coordinates.
• Automation — feed fresh restaurant and menu data into your own pipelines on a schedule.

How to use it

1. Add Foodpanda Scraper to your Apify account and open its input.
2. Enter a City (e.g. Singapore), or set Latitude + Longitude for an exact point.
3. Optionally turn on Include menu items to also collect every dish and price.
4. Optionally set Grid radius (km) and Grid step (km) to sweep a whole city.
5. Set Max restaurants to cap the output if you like, then click Run.
6. Export the results as JSON, CSV, Excel or XML.

Input

{
  "city": "Singapore",
  "includeMenu": true,
  "maxItems": 50
}

What you get

One flat JSON row per restaurant, plus one row per menu item when menus are included — ready to export to CSV, Excel, JSON or XML.

{
  "id": "49494",
  "code": "dxpr",
  "name": "NKS Restaurant (179 Macpherson Rd)",
  "cuisines": ["Indian", "Western", "Asian"],
  "rating": 3.8,
  "reviewCount": 18,
  "address": "179 Macpherson Road, Singapore 348539",
  "latitude": 1.330233,
  "longitude": 103.875209,
  "minOrder": 16,
  "deliveryFee": 4.3,
  "isOpen": true,
  "url": "https://foodpanda.sg/restaurant/dxpr/nks-restaurant"
}

{
  "vendorId": "49494",
  "vendorName": "NKS Restaurant (179 Macpherson Rd)",
  "category": "Prata",
  "itemName": "Cheese Prata",
  "price": 2.7,
  "description": "Crispy on the outside, soft on the inside"
}

FAQ

Which cities and countries are supported? Any location Foodpanda serves. Use a supported city name for one-click setup — Singapore, Bangkok, Chiang Mai, Phuket, Kuala Lumpur, Penang, Johor Bahru, Manila, Quezon City, Cebu, Taipei, Kaohsiung, Taichung, Hong Kong, Phnom Penh, Vientiane, Yangon, Dhaka, Karachi, Lahore — or set your own Latitude and Longitude for anywhere else.

How do I cover a whole city? Set Grid radius (km) to sweep a square of points around the centre, and Grid step (km) to control how dense the sweep is. Results are de-duplicated across all points automatically.

How do I get menu prices? Turn on Include menu items. Each restaurant then adds extra rows, one per dish, with its category, name, price and description.

How many restaurants can I get? As many as deliver to the area. Use Max restaurants to cap the run, or leave it at 0 for everything found.

What export formats are available? JSON, CSV, Excel and XML, plus programmatic access through the Apify API.

Can I use this with n8n? Yes. Run it from the Apify n8n community node or trigger it over HTTP, then pass the dataset items straight into your n8n workflow to enrich records, monitor prices or drive downstream steps.

Can I connect this to my other tools? It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

How fresh is the data? Every run collects live listings and menus at run time. Re-run on a schedule to keep your copy current.

Notes

Original clean-room implementation. Collects only publicly available restaurant and menu information; you are responsible for compliant use. All trademarks, including Foodpanda, belong to their respective owners and this actor is not affiliated with or endorsed by them.

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.