# Wolt Restaurant & Menu Scraper (`needy_hammock/wolt-restaurant-menu-scraper`) Actor Scrape restaurant data from Wolt food delivery platform. Extract restaurant details including name, address, rating, menu previews, website, phone, opening hours, and delivery info. - **URL**: https://apify.com/needy\_hammock/wolt-restaurant-menu-scraper.md - **Developed by:** [Iiro Rahkonen](https://apify.com/needy_hammock) (community) - **Categories:** Automation, Lead generation, E-commerce - **Stats:** 2 total users, 1 monthly users, 57.1% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.80 / 1,000 detailed results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Wolt Restaurant & Menu Scraper Apify Actor for scraping restaurant and menu data from [Wolt](https://wolt.com) food delivery platform. ### Features - Scrape restaurant listings for any Wolt city or coordinates - Extract full menu with prices, categories, images, and dietary info - Extract contact details: website, phone, opening hours, delivery info - Filter by cuisine category (burger, pizza, sushi, etc.) - Single restaurant mode via direct URL ### Input | Parameter | Type | Description | Default | | ---------------- | ------- | ---------------------------------------------------------------------------- | ------- | | `city` | string | City name (e.g., "Helsinki"). Resolved to coordinates via the Wolt city API. | — | | `latitude` | number | Latitude coordinate. Use with `longitude` for precise location. | — | | `longitude` | number | Longitude coordinate. Use with `latitude` for precise location. | — | | `categoryFilter` | string | Filter by tag (e.g., "burger", "pizza", "sushi"). | — | | `maxItems` | integer | Max restaurants to scrape. 0 = unlimited. | 0 | | `includeDetails` | boolean | Fetch detail pages for website, phone, hours, and full menu. | true | | `restaurantUrl` | string | URL of a single restaurant. Skips listing when provided. | — | Provide either `city`, `latitude` + `longitude`, or `restaurantUrl`. ### Output Each restaurant record includes: - **Identity:** id, name, slug, url - **Location:** address, postCode, city, country - **Ratings:** rating, ratingScore, reviewCount, priceRange - **Categories:** tags array (e.g., "asian", "noodles", "soup") - **Delivery:** estimateRange, online, delivers, deliveryBasePriceInCents, deliveryMethods - **Content:** shortDescription, description - **Images:** imageUrl, brandLogoImageUrl - **Menu previews:** previewItems (from listing — limited selection with prices and images) - **Full menu:** menuItems array with id, name, description, price, category, image, dietary preferences - **Contact:** website, phone - **Schedules:** openingTimesSchedule, deliveryTimesSchedule Fields from detail pages (`website`, `phone`, `menuItems`, schedules, etc.) are `null` when `includeDetails` is `false`. ### Example Input ```json { "city": "Helsinki", "maxItems": 10, "includeDetails": true, "categoryFilter": "pizza" } ```` ### Example Output ```json { "id": "62bc5c0d4a41e8af8002f3fd", "name": "Noodle Story Freda", "slug": "noodle-story-freda", "url": "https://wolt.com/en/fin/helsinki/restaurant/noodle-story-freda", "address": "Fredrikinkatu 36", "postCode": "00100", "city": "Helsinki", "country": "FIN", "ratingScore": 9.6, "reviewCount": 1139, "priceRange": "Moderate", "tags": ["asian", "noodles", "soup"], "website": "http://noodlestory.fi", "phone": "+358449898941", "menuItems": [ { "id": "1407a31dea50f3a97b74b9ca", "name": "Fried Noodles", "description": "Fresh handmade wheat noodles, wok-fried", "priceInCents": 1480, "category": "Chow Mein & Chow Fen", "imageUrl": "https://wolt-menu-images-cdn.wolt.com/...", "dietaryPreferences": [] } ] } ``` ### How It Works 1. **Listing** — Fetches all restaurants for a location in a single API call 2. **Details** — Fetches each restaurant page for contact info, hours, and full menu 3. **Menu** — Extracts all menu categories and items with prices # Actor input Schema ## `city` (type: `string`): Name of the city to scrape restaurants from (e.g., 'Helsinki', 'Stockholm'). The actor will resolve this to coordinates using the Wolt city list API. If both city and coordinates are provided, coordinates take precedence. ## `latitude` (type: `number`): Latitude coordinate for the location. Use together with longitude for precise location control. ## `longitude` (type: `number`): Longitude coordinate for the location. Use together with latitude for precise location control. ## `categoryFilter` (type: `string`): Filter restaurants by category/tag (e.g., 'burger', 'pizza', 'sushi', 'asian'). Only restaurants matching this tag will be included. Leave empty for all restaurants. ## `maxItems` (type: `integer`): Maximum number of restaurants to scrape. Set to 0 for unlimited. ## `includeDetails` (type: `boolean`): Whether to fetch individual restaurant detail pages for additional data (website, phone, opening hours, delivery info). Slower but provides more complete data. ## `restaurantUrl` (type: `string`): URL of a single restaurant to scrape (e.g., https://wolt.com/en/fin/helsinki/restaurant/noodle-story-freda). When provided, city/coordinate scraping is skipped. ## Actor input object example ```json { "maxItems": 5, "includeDetails": true } ``` # Actor output Schema ## `restaurants` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("needy_hammock/wolt-restaurant-menu-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 = {} # Run the Actor and wait for it to finish run = client.actor("needy_hammock/wolt-restaurant-menu-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 '{}' | apify call needy_hammock/wolt-restaurant-menu-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=needy_hammock/wolt-restaurant-menu-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Wolt Restaurant & Menu Scraper", "description": "Scrape restaurant data from Wolt food delivery platform. Extract restaurant details including name, address, rating, menu previews, website, phone, opening hours, and delivery info.", "version": "1.0", "x-build-id": "3X2KdzhGrEjg4I68V" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/needy_hammock~wolt-restaurant-menu-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-needy_hammock-wolt-restaurant-menu-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/needy_hammock~wolt-restaurant-menu-scraper/runs": { "post": { "operationId": "runs-sync-needy_hammock-wolt-restaurant-menu-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/needy_hammock~wolt-restaurant-menu-scraper/run-sync": { "post": { "operationId": "run-sync-needy_hammock-wolt-restaurant-menu-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "city": { "title": "City Name", "type": "string", "description": "Name of the city to scrape restaurants from (e.g., 'Helsinki', 'Stockholm'). The actor will resolve this to coordinates using the Wolt city list API. If both city and coordinates are provided, coordinates take precedence." }, "latitude": { "title": "Latitude", "minimum": -90, "maximum": 90, "type": "number", "description": "Latitude coordinate for the location. Use together with longitude for precise location control." }, "longitude": { "title": "Longitude", "minimum": -180, "maximum": 180, "type": "number", "description": "Longitude coordinate for the location. Use together with latitude for precise location control." }, "categoryFilter": { "title": "Category Filter", "type": "string", "description": "Filter restaurants by category/tag (e.g., 'burger', 'pizza', 'sushi', 'asian'). Only restaurants matching this tag will be included. Leave empty for all restaurants." }, "maxItems": { "title": "Maximum Items", "minimum": 0, "type": "integer", "description": "Maximum number of restaurants to scrape. Set to 0 for unlimited.", "default": 5 }, "includeDetails": { "title": "Include Detail Pages", "type": "boolean", "description": "Whether to fetch individual restaurant detail pages for additional data (website, phone, opening hours, delivery info). Slower but provides more complete data.", "default": true }, "restaurantUrl": { "title": "Individual Restaurant URL", "pattern": "^https://wolt\\.com/.+/restaurant/.+$", "type": "string", "description": "URL of a single restaurant to scrape (e.g., https://wolt.com/en/fin/helsinki/restaurant/noodle-story-freda). When provided, city/coordinate scraping is skipped." } } }, "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 } } } } } } } } } } ```