# Foodpanda Restaurant Scraper (`jungle_synthesizer/foodpanda-scraper`) Actor Scrape Foodpanda restaurants by URL or city/country. Extracts restaurant name, rating, cuisines, delivery details, address, and full nested menu with prices. Supports Singapore, Bangladesh, Pakistan, Hong Kong, Malaysia, and other markets. - **URL**: https://apify.com/jungle\_synthesizer/foodpanda-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Foodpanda Restaurant Scraper Scrape Foodpanda restaurants by listing URL or direct restaurant page URL. Extracts name, rating, review count, cuisines, delivery fee, delivery time, minimum order, address, open status, and optionally full menu with categories and prices. Supports all Foodpanda markets: **Singapore** (.sg), **Bangladesh** (.com.bd), **Pakistan** (.pk), **Hong Kong** (.hk), **Malaysia** (.my), **Philippines** (.ph), **Taiwan** (.com.tw). ### What You Get Each restaurant record contains: | Field | Description | |-------|-------------| | `restaurant_id` | Foodpanda's internal restaurant code | | `restaurant_url` | Full URL to the restaurant page | | `name` | Restaurant name | | `rating` | Average customer rating (0–5) | | `review_count` | Number of customer reviews | | `cuisines` | Comma-separated cuisine types | | `minimum_order` | Minimum order amount (with currency) | | `delivery_fee` | Delivery fee (or "Free") | | `delivery_time` | Estimated delivery time in minutes | | `address` | Restaurant street address | | `is_open` | Whether the restaurant is currently open | | `categories` | Pipe-separated menu categories (with `includeMenu: true`) | | `menu_items` | JSON-encoded menu items with name, description, and price (with `includeMenu: true`) | | `scraped_at` | ISO 8601 scrape timestamp | ### How To Use #### Scrape restaurants near a location Provide a Foodpanda listing URL with latitude/longitude: ```json { "startUrls": [ { "url": "https://www.foodpanda.sg/restaurants/new?lat=1.3521&lng=103.8198" } ], "maxItems": 50, "includeMenu": false } ```` #### Scrape specific restaurants Provide direct restaurant detail URLs: ```json { "startUrls": [ { "url": "https://www.foodpanda.sg/restaurant/t3ha/kfc" }, { "url": "https://www.foodpanda.sg/restaurant/w7nt/mcdonalds" } ], "maxItems": 10, "includeMenu": true } ``` #### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `startUrls` | Array | Required | Foodpanda listing or restaurant detail URLs | | `maxItems` | Integer | 10 | Maximum number of restaurants to return (0 = no limit) | | `includeMenu` | Boolean | false | When true, also extracts full menu data | ### Supported Markets The scraper accepts URLs from any Foodpanda country domain: | Country | Domain | |---------|--------| | Singapore | foodpanda.sg | | Bangladesh | foodpanda.com.bd | | Pakistan | foodpanda.pk | | Hong Kong | foodpanda.hk | | Malaysia | foodpanda.my | | Philippines | foodpanda.ph | | Taiwan | foodpanda.com.tw | ### Notes - Foodpanda uses strong anti-bot protection. This scraper uses residential proxies and a real browser to bypass it — run costs reflect this extra infrastructure. - Listing pages show the restaurants available for delivery to the given lat/lng coordinates. Use accurate coordinates for your target area. - Menu extraction (`includeMenu: true`) adds extra time per restaurant since it reads additional page content. - Results depend on what Foodpanda shows for your coordinates and time of day (some restaurants are only open during certain hours). # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `startUrls` (type: `array`): Foodpanda restaurant listing or restaurant detail URLs to scrape. Example: https://www.foodpanda.sg/restaurants/new?lat=1.3521\&lng=103.8198 or a direct restaurant URL like https://www.foodpanda.sg/restaurant/t3ha/kfc ## `includeMenu` (type: `boolean`): When enabled, also scrapes the full menu with categories, items, and prices. ## `maxItems` (type: `integer`): Maximum number of restaurant records to return (0 = no limit). ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [ { "url": "https://www.foodpanda.sg/restaurants/new?lat=1.3521&lng=103.8198" } ], "includeMenu": false, "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [ { "url": "https://www.foodpanda.sg/restaurants/new?lat=1.3521&lng=103.8198" } ], "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/foodpanda-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [{ "url": "https://www.foodpanda.sg/restaurants/new?lat=1.3521&lng=103.8198" }], "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/foodpanda-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "startUrls": [ { "url": "https://www.foodpanda.sg/restaurants/new?lat=1.3521&lng=103.8198" } ], "maxItems": 10 }' | apify call jungle_synthesizer/foodpanda-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/foodpanda-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Foodpanda Restaurant Scraper", "description": "Scrape Foodpanda restaurants by URL or city/country. Extracts restaurant name, rating, cuisines,\ndelivery details, address, and full nested menu with prices.\nSupports Singapore, Bangladesh, Pakistan, Hong Kong, Malaysia, and other markets.\n", "version": "0.1", "x-build-id": "CHnRb5El4EI7sOtBq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~foodpanda-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-foodpanda-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~foodpanda-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-foodpanda-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~foodpanda-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-foodpanda-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "startUrls", "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Foodpanda restaurant listing or restaurant detail URLs to scrape.\nExample: https://www.foodpanda.sg/restaurants/new?lat=1.3521&lng=103.8198\nor a direct restaurant URL like https://www.foodpanda.sg/restaurant/t3ha/kfc\n", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "includeMenu": { "title": "Include Full Menu", "type": "boolean", "description": "When enabled, also scrapes the full menu with categories, items, and prices.", "default": false }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of restaurant records to return (0 = no limit).", "default": 10 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```