# US Restaurants Directory โ€” Restaurant Scraper (`straightforward_hydra/us-restaurants-directory`) Actor Extract every restaurant in any US state: name, cuisine, address, phone, website, opening hours & GPS. Filter by cuisine. Clean lead list from OpenStreetMap. No key. - **URL**: https://apify.com/straightforward\_hydra/us-restaurants-directory.md - **Developed by:** [Dev D](https://apify.com/straightforward_hydra) (community) - **Categories:** Automation, Travel, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 restaurants 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## US Restaurants Directory โ€” Restaurant Scraper ๐Ÿฝ๏ธ **Extract every restaurant in any US state โ€” name, cuisine, full address, phone, website, opening hours and GPS coordinates โ€” as a clean, structured lead list. Filter by cuisine. Data from OpenStreetMap. No API key.** A ready-to-use list of restaurants for sales prospecting (POS, delivery, marketing, supply vendors), market research, territory mapping, or CRM enrichment. Pick a state (or a city bounding box), optionally narrow by cuisine, and get structured rows in seconds โ€” no scraping fragile HTML, no login. --- ### What you get Each row: `name` ยท `cuisine` ยท `address` (plus split `street` / `city` / `state` / `postcode`) ยท `phone` ยท `website` ยท `email` ยท `opening_hours` ยท `takeaway` ยท `delivery` ยท `outdoor_seating` ยท `brand` ยท `lat` / `lon` ยท `osm_url`. ### Examples **All restaurants in California** ```json { "state": "CA", "maxResults": 5000 } ```` **Italian restaurants in New York** ```json { "state": "New York", "cuisine": "italian" } ``` **Pizza places in one city (bounding box)** ```json { "bbox": "30.24,-97.78,30.30,-97.70", "cuisine": "pizza" } ``` ### Use cases - **Sales prospecting** โ€” restaurant POS, online ordering, delivery, marketing agencies, food & beverage suppliers. - **Market & competitor research** โ€” restaurant density and cuisine mix by state or city. - **CRM enrichment** โ€” add phone / website / cuisine / location to existing records. - **Territory planning** โ€” map coverage and gaps with GPS coordinates. ### Run it on a schedule Schedule a run to keep a fresh restaurant list for a state as OpenStreetMap is updated by its global community. ### Notes - **No API key.** Data comes from [OpenStreetMap](https://www.openstreetmap.org) via the Overpass API (ยฉ OpenStreetMap contributors, ODbL). - **Coverage varies.** OpenStreetMap is community-maintained, so not every restaurant is mapped and some rows have partial details โ€” completeness is highest in populated areas. `phone` / `website` / `cuisine` are populated where contributors have added them. - **Cuisine filter** matches OpenStreetMap's `cuisine` tag case-insensitively (e.g. `italian`, `mexican`, `pizza`, `sushi`, `burger`). - **Canadian provinces** work too (e.g. `"ON"`, `"BC"`). - Works statewide or for a precise `bbox`; raise `maxResults` for large states. *** #### Keywords restaurants, restaurant directory, US restaurants, restaurant leads, food and beverage, cuisine, dining, B2B leads, lead generation, local business data, business directory, sales prospecting, POS, delivery, OpenStreetMap, POI, phone, website, CRM enrichment, market research, no API key. # Actor input Schema ## `state` (type: `string`): US state as a 2-letter code (e.g. "CA", "TX", "NY") or full name (e.g. "New York"). Canadian provinces (e.g. "ON", "BC") also work. ## `cuisine` (type: `string`): Filter by cuisine, e.g. "italian", "mexican", "pizza", "sushi", "chinese", "burger". Matched case-insensitively against OpenStreetMap's cuisine tag. ## `bbox` (type: `string`): Optional geographic box "south,west,north,east" (decimal degrees) to use instead of a state โ€” e.g. a single city area. ## `maxResults` (type: `integer`): Cap on restaurants returned. ## Actor input object example ```json { "state": "CA", "maxResults": 1000 } ``` # 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 = { "state": "CA" }; // Run the Actor and wait for it to finish const run = await client.actor("straightforward_hydra/us-restaurants-directory").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "state": "CA" } # Run the Actor and wait for it to finish run = client.actor("straightforward_hydra/us-restaurants-directory").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "state": "CA" }' | apify call straightforward_hydra/us-restaurants-directory --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=straightforward_hydra/us-restaurants-directory", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "US Restaurants Directory โ€” Restaurant Scraper", "description": "Extract every restaurant in any US state: name, cuisine, address, phone, website, opening hours & GPS. Filter by cuisine. Clean lead list from OpenStreetMap. No key.", "version": "0.1", "x-build-id": "sgxrtYi0fU7UaD6v4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/straightforward_hydra~us-restaurants-directory/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-straightforward_hydra-us-restaurants-directory", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/straightforward_hydra~us-restaurants-directory/runs": { "post": { "operationId": "runs-sync-straightforward_hydra-us-restaurants-directory", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/straightforward_hydra~us-restaurants-directory/run-sync": { "post": { "operationId": "run-sync-straightforward_hydra-us-restaurants-directory", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "state": { "title": "US State", "type": "string", "description": "US state as a 2-letter code (e.g. \"CA\", \"TX\", \"NY\") or full name (e.g. \"New York\"). Canadian provinces (e.g. \"ON\", \"BC\") also work." }, "cuisine": { "title": "Cuisine (optional)", "type": "string", "description": "Filter by cuisine, e.g. \"italian\", \"mexican\", \"pizza\", \"sushi\", \"chinese\", \"burger\". Matched case-insensitively against OpenStreetMap's cuisine tag." }, "bbox": { "title": "Bounding box (advanced)", "type": "string", "description": "Optional geographic box \"south,west,north,east\" (decimal degrees) to use instead of a state โ€” e.g. a single city area." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Cap on restaurants returned.", "default": 1000 } } }, "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 } } } } } } } } } } ```