# Vegan & Vegetarian Restaurant Finder (`crawlerbros/vegan-restaurant-finder`) Actor Find vegan and vegetarian restaurants near any city or location using OpenStreetMap data. Filter by vegan-only, vegetarian-friendly, or veg-friendly. Free, no API key required. - **URL**: https://apify.com/crawlerbros/vegan-restaurant-finder.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Travel, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Vegan & Vegetarian Restaurant Finder Find **vegan and vegetarian restaurants** near any city or coordinates using OpenStreetMap data. Returns name, diet classification, cuisine type, address, phone, website, and GPS coordinates. Perfect for discovering plant-based dining anywhere in the world. Powered by the [OpenStreetMap Overpass API](https://overpass-api.de/) — free, no API key required. ### Features - Find vegan and vegetarian restaurants near any city or location - Filter by diet type (vegan-only, vegan-friendly, vegetarian-friendly) - Configurable search radius (100m to 50km) - Returns name, address, phone, website, cuisines, and GPS coordinates - Covers restaurants, cafes, and fast-food establishments - Global coverage — works for any city worldwide - No proxy required — free public API - Retries on rate limits and server errors ### Input Parameters | Parameter | Type | Description | |-----------|------|-------------| | `city` | string | City name to search (e.g. New York, London, Berlin, Tokyo) | | `latitude` | number | Center latitude (overrides city) | | `longitude` | number | Center longitude (overrides city) | | `radiusMeters` | integer | Search radius in meters (100–50000, default 2000) | | `veganOnly` | boolean | If true, only return vegan/vegan-friendly places | | `dietType` | select | Filter by diet classification | | `maxItems` | integer | Maximum results (1–500, default 50) | ### Output Fields | Field | Type | Description | |-------|------|-------------| | `osmId` | integer | OpenStreetMap node ID | | `osmType` | string | OSM element type (node, way, relation) | | `name` | string | Restaurant/cafe name | | `dietType` | string | vegan, vegan-friendly, vegetarian, vegetarian-friendly, or veg-friendly | | `amenity` | string | Place type: restaurant, cafe, fast_food | | `cuisines` | array | Cuisine types (e.g. italian, japanese, vegan) | | `address` | string | Street address | | `houseNumber` | string | Street number | | `city` | string | City | | `postcode` | string | Postal code | | `state` | string | State/province | | `country` | string | Country code | | `phone` | string | Phone number | | `website` | string | Restaurant website | | `email` | string | Contact email | | `openingHours` | string | Opening hours (OSM format) | | `latitude` | number | Latitude | | `longitude` | number | Longitude | | `sourceUrl` | string | OpenStreetMap page URL | | `recordType` | string | Always "veganRestaurant" | | `scrapedAt` | string | ISO 8601 timestamp | ### Example Input ```json { "city": "New York", "radiusMeters": 3000, "veganOnly": true, "maxItems": 20 } ```` ### Example Output ```json { "osmId": 380044344, "osmType": "node", "name": "Beyond Sushi", "dietType": "vegan", "amenity": "restaurant", "cuisines": ["japanese", "vegan"], "address": "74 W 3rd St", "city": "New York", "country": "US", "latitude": 40.7259, "longitude": -74.0003, "sourceUrl": "https://www.openstreetmap.org/node/380044344", "recordType": "veganRestaurant", "scrapedAt": "2026-06-10T12:00:00+00:00" } ``` ### FAQ **Is this free to use?** Yes — data comes from OpenStreetMap via the Overpass API, which is completely free and requires no authentication. **How accurate is the data?** OpenStreetMap is community-maintained and generally very accurate for major cities. Coverage varies by region. **Can I search by coordinates instead of city name?** Yes — provide `latitude` and `longitude` to bypass city geocoding. **What's the maximum search radius?** Up to 50 kilometers (50000 meters). For city-wide searches, 5000–10000m is recommended. **Does it cover cities outside the US?** Yes — OpenStreetMap has global coverage including Europe, Asia, Australia, and more. ### Data Source Data is retrieved from [OpenStreetMap](https://www.openstreetmap.org/) via the [Overpass API](https://overpass-api.de/) — a free public API for querying OpenStreetMap data. Geographic data is © OpenStreetMap contributors, licensed under ODbL. # Actor input Schema ## `city` (type: `string`): City name to search for restaurants (e.g. New York, London, Berlin, Tokyo). Leave blank if using latitude/longitude. ## `latitude` (type: `number`): Center latitude for the search area (overrides city if provided). ## `longitude` (type: `number`): Center longitude for the search area (overrides city if provided). ## `radiusMeters` (type: `integer`): Search radius in meters around the city or coordinates (default 2000m = 2km). ## `veganOnly` (type: `boolean`): If true, only return places tagged as vegan or vegan-friendly. If false, includes vegetarian-friendly places too. ## `dietType` (type: `string`): Filter results by diet classification. ## `maxItems` (type: `integer`): Maximum number of restaurants to return. ## Actor input object example ```json { "city": "New York", "radiusMeters": 2000, "veganOnly": false, "dietType": "", "maxItems": 50 } ``` # Actor output Schema ## `restaurants` (type: `string`): Dataset containing all scraped vegan/vegetarian restaurant records. # 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 = { "city": "New York", "radiusMeters": 2000, "veganOnly": false, "maxItems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/vegan-restaurant-finder").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 = { "city": "New York", "radiusMeters": 2000, "veganOnly": False, "maxItems": 50, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/vegan-restaurant-finder").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 '{ "city": "New York", "radiusMeters": 2000, "veganOnly": false, "maxItems": 50 }' | apify call crawlerbros/vegan-restaurant-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/vegan-restaurant-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Vegan & Vegetarian Restaurant Finder", "description": "Find vegan and vegetarian restaurants near any city or location using OpenStreetMap data. Filter by vegan-only, vegetarian-friendly, or veg-friendly. Free, no API key required.", "version": "1.0", "x-build-id": "xnMJU2EZKR2BSyUGm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~vegan-restaurant-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-vegan-restaurant-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~vegan-restaurant-finder/runs": { "post": { "operationId": "runs-sync-crawlerbros-vegan-restaurant-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~vegan-restaurant-finder/run-sync": { "post": { "operationId": "run-sync-crawlerbros-vegan-restaurant-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "type": "string", "description": "City name to search for restaurants (e.g. New York, London, Berlin, Tokyo). Leave blank if using latitude/longitude." }, "latitude": { "title": "Latitude", "type": "number", "description": "Center latitude for the search area (overrides city if provided)." }, "longitude": { "title": "Longitude", "type": "number", "description": "Center longitude for the search area (overrides city if provided)." }, "radiusMeters": { "title": "Search Radius (meters)", "minimum": 100, "maximum": 50000, "type": "integer", "description": "Search radius in meters around the city or coordinates (default 2000m = 2km).", "default": 2000 }, "veganOnly": { "title": "Vegan Only", "type": "boolean", "description": "If true, only return places tagged as vegan or vegan-friendly. If false, includes vegetarian-friendly places too.", "default": false }, "dietType": { "title": "Diet Type Filter", "enum": [ "", "vegan", "vegan-friendly", "vegetarian", "vegetarian-friendly", "veg-friendly" ], "type": "string", "description": "Filter results by diet classification.", "default": "" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of restaurants to return.", "default": 50 } } }, "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 } } } } } } } } } } ```