# MenuPix Restaurant Scraper - Phone, Website & Address Leads (`scrapersdelight/menupix-restaurant-scraper`) Actor Scrape US restaurants from MenuPix by metro: name, phone, the operator's OWN website, full address, cuisine, price tier and rating. Structured B2B lead lists for POS, online-ordering and restaurant-marketing sales. No login. - **URL**: https://apify.com/scrapersdelight/menupix-restaurant-scraper.md - **Developed by:** [Scrapers Delight](https://apify.com/scrapersdelight) (community) - **Categories:** Automation, Lead generation, Agents - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $4.00 / 1,000 per restaurant returneds 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 ## MenuPix Restaurant Scraper Turn MenuPix city directories into a structured, ready-to-work US-restaurant lead list — name, phone, the operator's **own website**, full address, cuisine, price tier and rating, one row per restaurant. ### What you get Each record is one restaurant: - **name** — restaurant name - **phone** — as published on MenuPix - **website** — the restaurant's **OWN domain** (not a MenuPix or delivery-platform link) — the field Google-Maps scrapers surface inconsistently and delivery scrapers never expose; the hook for email-enrichment and tech-stack detection - **streetAddress · city · state · postalCode · fullAddress** — full mailing address - **cuisine** — array of cuisine/diet tags (e.g. `["Japanese", "Sushi", "Gluten-Free"]`) - **priceRange** — price tier (`$`–`$$$$`) for segmentation - **rating · reviewCount** — MenuPix aggregate rating - **hoursToday** — today's hours when listed - **sourceCity · menupixId · menupixUrl** — provenance ### Use cases - **POS / online-ordering prospecting** (Toast, Square, SpotOn, ChowNow, Slice, Olo) — target operators by metro with a direct phone + own website. - **Cuisine / price-segmented outreach** — filter to, say, `$$$$` Japanese or `$` cafes. - **Market sizing by metro** — count and profile the restaurant base of any of MenuPix's 300+ US metros. - **Reputation / marketing-agency lists** — rating + reviewCount to prioritize accounts. ### Input | Field | Description | |-------|-------------| | `cities` | MenuPix metro slugs (e.g. `austin`, `nyc`, `boston`). Leave empty to crawl **all** metros from `browsemetro.php`. | | `maxRestaurants` | Stop after this many records (`0` = no limit). | | `onlyWithContact` | Skip listings with neither a phone nor a website (default `true`). | | `proxyConfiguration` | Apify **Residential (US)** recommended for reliability against Cloudflare. | **Example:** ```json { "cities": ["austin"], "maxRestaurants": 200, "onlyWithContact": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" } } ```` ### Output sample ```json { "name": "Uchi Restaurant", "streetAddress": "801 S Lamar Blvd", "city": "Austin", "state": "TX", "postalCode": "78704", "fullAddress": "801 S Lamar Blvd, Austin, TX 78704", "phone": "(512) 916-4808", "website": "http://www.uchikoaustin.com/", "cuisine": ["Japanese", "Sushi", "Gluten-Free"], "priceRange": "$$$$", "rating": 4.7, "reviewCount": 42, "hoursToday": "4:00pm-10:00pm", "sourceCity": "austin", "menupixId": "4333865", "menupixUrl": "https://www.menupix.com/austin/restaurants/4333865/Uchi-Restaurant-Austin-TX" } ``` ### Honest notes - Phone and website are provided **as published on MenuPix** — they are not independently verified. - **No email is provided.** MenuPix does not expose emails; enrich downstream from the `website` field. - Coverage is whatever MenuPix lists for a given metro — it is a broad but not exhaustive census of every restaurant. - You are responsible for complying with MenuPix's Terms of Service and applicable law. # Actor input Schema ## `cities` (type: `array`): MenuPix metro slugs to scrape (e.g. "austin", "nyc", "boston"). Leave empty to crawl all metros from browsemetro.php. ## `maxRestaurants` (type: `integer`): Stop after collecting this many records (0 = no limit). ## `onlyWithContact` (type: `boolean`): Skip listings that expose neither a phone nor a website. ## `proxyConfiguration` (type: `object`): Use Apify Residential (US) for reliability against Cloudflare. ## Actor input object example ```json { "cities": [ "austin" ], "maxRestaurants": 10, "onlyWithContact": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # Actor output Schema ## `records` (type: `string`): The dataset of scraped MenuPix restaurants (one item per restaurant). # 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 = { "cities": [ "austin" ], "maxRestaurants": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("scrapersdelight/menupix-restaurant-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 = { "cities": ["austin"], "maxRestaurants": 10, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("scrapersdelight/menupix-restaurant-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 '{ "cities": [ "austin" ], "maxRestaurants": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call scrapersdelight/menupix-restaurant-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapersdelight/menupix-restaurant-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "MenuPix Restaurant Scraper - Phone, Website & Address Leads", "description": "Scrape US restaurants from MenuPix by metro: name, phone, the operator's OWN website, full address, cuisine, price tier and rating. Structured B2B lead lists for POS, online-ordering and restaurant-marketing sales. No login.", "version": "0.1", "x-build-id": "6MDTltoLb9iPhm0Pj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapersdelight~menupix-restaurant-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapersdelight-menupix-restaurant-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/scrapersdelight~menupix-restaurant-scraper/runs": { "post": { "operationId": "runs-sync-scrapersdelight-menupix-restaurant-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/scrapersdelight~menupix-restaurant-scraper/run-sync": { "post": { "operationId": "run-sync-scrapersdelight-menupix-restaurant-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": { "cities": { "title": "City slugs", "type": "array", "description": "MenuPix metro slugs to scrape (e.g. \"austin\", \"nyc\", \"boston\"). Leave empty to crawl all metros from browsemetro.php.", "items": { "type": "string" } }, "maxRestaurants": { "title": "Max restaurants", "minimum": 0, "type": "integer", "description": "Stop after collecting this many records (0 = no limit)." }, "onlyWithContact": { "title": "Only rows with a phone or website", "type": "boolean", "description": "Skip listings that expose neither a phone nor a website.", "default": true }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Use Apify Residential (US) for reliability against Cloudflare." } } }, "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 } } } } } } } } } } ```