# Speisekarte Restaurants Search Scraper (`stealth_mode/speisekarte-restaurants-search-scraper`) Actor Scrape restaurant listings from Speisekarte.de — Germany's leading menu and dining directory. Collect names, addresses, cuisine types, price ranges, contact info, and more from any city or search page. - **URL**: https://apify.com/stealth\_mode/speisekarte-restaurants-search-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Developer tools, Automation, Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 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 ## Speisekarte.de Restaurant Scraper: Extract German Restaurant Listings --- ### What Is Speisekarte.de? Speisekarte.de is one of Germany's most popular restaurant discovery platforms, listing thousands of dining establishments across German cities with menus, reviews, and contact details. For food delivery aggregators, market researchers, or local business analysts, manually collecting this data is impractical. The **Speisekarte.de Restaurant Scraper** automates extraction from any restaurant listing page, delivering clean, structured records ready for analysis. --- ### Overview This scraper targets Speisekarte.de's paginated restaurant search and category pages, extracting key business data per listing. It suits: - **Food tech developers** building restaurant aggregators or delivery integrations - **Market researchers** analyzing dining trends by city or cuisine type - **Sales teams** prospecting restaurants for B2B outreach - **Data analysts** studying pricing and cuisine distribution across German cities --- ### Input Format ```json { "ignore_url_failures": true, "max_items_per_url": 200, "urls": [ "https://www.speisekarte.de/berlin/restaurants?page=3" ] } ```` | Field | Type | Default | Description | |---|---|---|---| | `urls` | `array` | — | **Required.** One or more Speisekarte.de restaurant listing URLs to scrape (e.g. city pages, cuisine filters, paginated results). Paste URLs one by one or use Bulk edit. Example: `https://www.speisekarte.de/hamburg/restaurants` | | `max_items_per_url` | `integer` | `20` | Maximum number of restaurant records collected per URL. Increase up to `200` for full-page sweeps. | | `ignore_url_failures` | `boolean` | `true` | If `true`, the scraper skips failed URLs and continues the run instead of stopping entirely. Recommended for bulk jobs. | > **Tip:** To collect an entire city's listings, iterate through pages by incrementing the `?page=` parameter across multiple URLs in the `urls` array. *** ### Output Format #### Sample Record ```json { "name": "Weißes Röss’l", "image": "https://images.speisekarte.de/media/img/40fdf126-6a91-4a23-acc1-e16fb5621dad/6a173036-3439-4daf-be9d-6c22d194fa81.thumb.jpg", "address": { "@type": "PostalAddress", "address_locality": "Berlin", "postal_code": "12209", "street_address": "Heinersdorfer Str. 15", "address_country": "de" }, "geo": { "@type": "GeoCoordinates", "latitude": 52.4183, "longitude": 13.3243 }, "telephone": "0307723030", "serves_cuisine": [ "bayerisch" ], "price_range": "€€", "url": "https://www.speisekarte.de/berlin/restaurant/weisses_roessl", "from_url": "https://www.speisekarte.de/berlin/restaurants?page=2" } ``` Each restaurant record returns up to 8 fields: | Field | Type | Meaning | |---|---|---| | `Name` | String | Restaurant name as listed on Speisekarte.de | | `Image` | URL | Primary photo of the restaurant or its logo | | `Address` | String | Full street address including city and postal code | | `Geo` | Object | Geographic coordinates (`latitude`, `longitude`) for mapping or proximity analysis | | `Telephone` | String | Public contact phone number | | `Serves Cuisine` | String / Array | Cuisine type(s) offered (e.g. `Italian`, `Sushi`, `Döner`) | | `Price Range` | String | Approximate price tier (e.g. `€`, `€€`, `€€€`) | | `URL` | URL | Direct link to the restaurant's Speisekarte.de profile page | *** ### How to Use 1. **Find target pages** — Browse Speisekarte.de, filter by city or cuisine, and copy the listing page URL (e.g. `https://www.speisekarte.de/munich/restaurants`). 2. **Add URLs** — Paste into the `urls` array. Add multiple pages for broader coverage. 3. **Set item limit** — Adjust `max_items_per_url` based on how many results the page contains (typically 20–30 per page). 4. **Run and export** — Download results as JSON, CSV, or Excel. **Common issues:** - Ensure URLs point to **listing/search pages**, not individual restaurant profiles. - If results are fewer than expected, the page may have fewer listings than `max_items_per_url` — this is normal. - Use `ignore_url_failures: true` when running multi-URL bulk jobs. *** ### Use Cases & Business Value - **Lead generation:** Build outreach lists of restaurants in a target city with contact details - **Menu aggregation:** Seed a food platform with verified restaurant data - **Geo-mapping:** Plot restaurant density or cuisine distribution using the `Geo` field - **Competitive analysis:** Track price ranges and cuisine trends across neighborhoods *** ### Conclusion The **Speisekarte.de Restaurant Scraper** turns Germany's largest dining directory into a structured, queryable dataset. With coordinates, cuisine tags, pricing, and direct profile links included per record, it delivers everything needed for market research, business development, or platform integration — in one efficient run. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the restaurants list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `ignore_url_failures` (type: `boolean`): If true, the scraper will continue running even if some URLs fail to be scraped. ## `max_items_per_url` (type: `integer`): The maximum number of items to scrape per URL. ## Actor input object example ```json { "urls": [ "https://www.speisekarte.de/berlin/restaurants?page=3" ], "ignore_url_failures": true, "max_items_per_url": 20 } ``` # 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 = { "urls": [ "https://www.speisekarte.de/berlin/restaurants?page=3" ], "ignore_url_failures": true, "max_items_per_url": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("stealth_mode/speisekarte-restaurants-search-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 = { "urls": ["https://www.speisekarte.de/berlin/restaurants?page=3"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/speisekarte-restaurants-search-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 '{ "urls": [ "https://www.speisekarte.de/berlin/restaurants?page=3" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/speisekarte-restaurants-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/speisekarte-restaurants-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Speisekarte Restaurants Search Scraper", "description": "Scrape restaurant listings from Speisekarte.de — Germany's leading menu and dining directory. Collect names, addresses, cuisine types, price ranges, contact info, and more from any city or search page.", "version": "0.0", "x-build-id": "eg4kKgtvFyRWhf6n2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~speisekarte-restaurants-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-speisekarte-restaurants-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~speisekarte-restaurants-search-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-speisekarte-restaurants-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~speisekarte-restaurants-search-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-speisekarte-restaurants-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "urls": { "title": "URLs of the restaurants list urls to scrape", "type": "array", "description": "Add the URLs of the restaurants list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.", "items": { "type": "string" } }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." }, "max_items_per_url": { "title": "Max items per URL", "type": "integer", "description": "The maximum number of items to scrape per URL." } } }, "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 } } } } } } } } } } ```