# US Restaurant Owner Lead Scraper — emails + AI cold email (`kloude/restaurant-owner-us-lead-scraper`) Actor Scrape US restaurant owner contacts from Google Maps with verified emails and AI-generated cold emails. Ideal for POS sales reps, food vendors, restaurant insurance brokers. - **URL**: https://apify.com/kloude/restaurant-owner-us-lead-scraper.md - **Developed by:** [Nguyễn Tuấn Thành](https://apify.com/kloude) (community) - **Categories:** Lead generation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 lead delivereds 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 ## US Restaurant Owner & Manager Lead Scraper **Get verified owner/manager contact info for US restaurants — filtered by cuisine, Yelp rating, delivery platform, and city — so you can pitch the operators who actually need your product.** Selling to restaurants is brutal because the owner is in the kitchen, not behind a desk. This actor surfaces the data that lets you skip the gatekeeper: direct phone numbers, owner names (where listed), current POS / delivery / reservation stack, cuisine type, and review velocity — so your outreach lands on the operators most likely to buy. --- ### What you get per lead **Restaurant identity** - Restaurant name + DBA - Owner / GM name (where publicly listed on Google Maps, Yelp, or website) - Owner email + general info email (verified) - Direct phone + reservation line - Website + online ordering URL **Cuisine & format** - Cuisine type (Italian, Thai, Mexican, BBQ, sushi, vegan, bakery, coffee shop, etc.) — multi-tag - Restaurant format (fast casual, fine dining, QSR, ghost kitchen, food truck, bar & grill, cafe) - Price level ($, $$, $$$, $$$$) - Alcohol served (full bar / beer & wine / none) - Outdoor seating (yes/no) - Estimated seating capacity (from photos + venue cues) **Tech stack signals (huge for SaaS sellers)** - Reservation platform (OpenTable, Resy, Tock, Yelp Reservations, none) - Online ordering provider (Toast, ChowNow, BentoBox, DoorDash Storefront, Square, Clover) - Delivery platforms active (DoorDash, Uber Eats, Grubhub, ezCater) - POS hints (when visible on website footer or job posts) **Reputation & traffic** - Google rating + review count + last review date - Yelp rating + review count - Yelp "popular times" busy score - Photo count (proxy for engagement) - Currently open / temporarily closed flag **Geo & service** - Full address + lat/lng - Delivery radius (when stated) - Hours of operation (per weekday) - Years in business (Google "established" data when available) **Social** - Instagram handle + follower count - Facebook business page - TikTok (huge for newer restaurants) --- ### 3 example use cases #### 1. Toast / Square sales rep targeting independents who still use legacy POS You sell modern restaurant POS at $69/month per terminal. Your ICP: independent restaurants doing 40+ reviews per month (= real revenue), NOT using Toast already. Run with `googleReviewVelocity>=40 AND posProvider!=Toast AND chainSize<=3 locations`. Output: 800 hot leads in Chicago alone, with the GM's direct line. #### 2. Restaurant insurance broker after Italian + sushi spots in NY/NJ These two cuisines historically have higher liability claims and your carrier wants more of them. Filter `cuisineType IN (italian, sushi) AND state IN (NY, NJ) AND priceLevel >= $$`. You get 1,200 restaurants with owner names, current phone, and Yelp review counts so you can lead-score before dialing. #### 3. Ghost kitchen / virtual brand company recruiting host kitchens You need restaurants with extra kitchen capacity to run your virtual brand. Filter `googleRating>=4.0 AND deliveryPlatforms CONTAINS uber_eats AND priceLevel<=$$ AND outdoorSeating=false`. The actor surfaces operators already comfortable with delivery — easier sell than converting a fine-dining holdout. #### 4. (Bonus) Food supplier rep Targeting Thai restaurants for a new coconut milk SKU? Filter `cuisineType=thai AND city IN top-20 metros`. 3,000 buyers, each with a kitchen manager phone number. --- ### Pricing **Option A — Rental: $29/month** Unlimited runs. Best for vendors prospecting weekly. **Option B — Pay-Per-Event: $0.025 per lead** No subscription. Pay only for delivered leads. Cheaper than Yelp Ads CPC ($3–$30). Free tier: first 50 leads free. --- ### Output schema example ```json { "name": "Mama Lucia's Trattoria", "ownerName": "Lucia Romano", "managerName": "Marco Romano", "profession": "restaurant", "email": "info@mamalucias.com", "ownerEmail": "lucia@mamalucias.com", "emailStatus": "verified", "phone": "+1-312-555-0188", "reservationPhone": "+1-312-555-0189", "website": "https://mamalucias-chicago.com", "cuisineType": ["italian", "wine bar"], "restaurantFormat": "casual dining", "priceLevel": "$$", "alcoholServed": "full bar", "outdoorSeating": true, "estimatedSeating": 68, "reservationPlatform": "OpenTable", "onlineOrderingProvider": "Toast", "deliveryPlatforms": ["DoorDash", "Uber Eats", "Grubhub"], "googleRating": 4.6, "googleReviewCount": 1247, "googleLastReviewAt": "2025-05-19", "yelpRating": 4.5, "yelpReviewCount": 892, "yelpUrl": "https://yelp.com/biz/mama-lucias-chicago", "yearsInBusiness": 14, "address": "234 W Randolph St, Chicago, IL 60606", "lat": 41.8842, "lng": -87.6376, "hours": { "mon": "16:00-22:00", "tue": "16:00-22:00", "wed": "16:00-22:00", "thu": "16:00-23:00", "fri": "16:00-00:00", "sat": "12:00-00:00", "sun": "12:00-21:00" }, "deliveryRadiusMiles": 5, "googleMapsUrl": "https://maps.google.com/?cid=...", "instagram": "@mamaluciaschicago", "instagramFollowers": 18400, "facebook": "https://facebook.com/mamaluciaschicago", "tiktok": "@mamalucias", "scrapedAt": "2025-05-21T14:32:00Z" } ```` *** ### Roadmap - **v1.0** (now) — Google Maps + Yelp enrichment + tech stack detection - **v1.1** — Liquor license status lookup (state ABC databases) - **v1.2** — Chain detection + corporate parent linking - **v1.3** — Menu price extraction (avg entree price) - **v1.4** — Instagram engagement rate (not just follower count) - **v2.0** — Health inspection grade lookup (NYC, LA, Chicago) Built by an indie dev — DM via Apify Issues for feature requests. Replies within 12 hours. # Actor input Schema ## `profession` (type: `string`): Target business type to scrape (e.g. 'real estate agent', 'plumber', 'restaurant') ## `cities` (type: `array`): List of cities to scrape. Up to 50. ## `country` (type: `string`): ISO country code (e.g. US, CA, UK). Used for regional source routing. ## `maxLeadsPerCity` (type: `integer`): Maximum number of leads to scrape per city. Defaults to 100. Higher values cost more compute. ## `sources` (type: `array`): Which sources to scrape. gmaps = Google Maps (recommended, broad coverage). yelp = Yelp (EXPERIMENTAL: Yelp aggressively blocks scrapers — usually returns 0 leads even with residential proxy). Stick with gmaps unless you know what you're doing. ## `enrichEmails` (type: `boolean`): Scrape contact pages + Hunter.io to find verified emails. Adds ~2s per lead. ## `generateColdEmails` (type: `boolean`): Use Gemini to generate a personalized cold email subject + body for each lead with a verified email. ## `coldEmailTone` (type: `string`): Writing style for the generated cold email. ## `serviceOffering` (type: `string`): Short description of your product/service — used to personalize cold emails. ## `geminiApiKey` (type: `string`): Bring your own Gemini API key for unlimited AI generation. Leave empty to use actor's free tier (limited daily quota). Get key free at https://aistudio.google.com ## Actor input object example ```json { "profession": "restaurant owner", "cities": [ "Austin TX", "Dallas TX" ], "country": "US", "maxLeadsPerCity": 100, "sources": [ "gmaps" ], "enrichEmails": true, "generateColdEmails": true, "coldEmailTone": "professional" } ``` # Actor output Schema ## `leads` (type: `string`): All scraped leads with business name, phone, website, email, rating, and AI-generated cold email. ## `leadsCsv` (type: `string`): Same leads exported as CSV for direct import into a spreadsheet or CRM. ## `leadsExcel` (type: `string`): Same leads exported as Excel (xlsx). # 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 TX", "Dallas TX" ] }; // Run the Actor and wait for it to finish const run = await client.actor("kloude/restaurant-owner-us-lead-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 TX", "Dallas TX", ] } # Run the Actor and wait for it to finish run = client.actor("kloude/restaurant-owner-us-lead-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 TX", "Dallas TX" ] }' | apify call kloude/restaurant-owner-us-lead-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kloude/restaurant-owner-us-lead-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "US Restaurant Owner Lead Scraper — emails + AI cold email", "description": "Scrape US restaurant owner contacts from Google Maps with verified emails and AI-generated cold emails. Ideal for POS sales reps, food vendors, restaurant insurance brokers.", "version": "0.1", "x-build-id": "hLayHbe2lkoSmNRRW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kloude~restaurant-owner-us-lead-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kloude-restaurant-owner-us-lead-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/kloude~restaurant-owner-us-lead-scraper/runs": { "post": { "operationId": "runs-sync-kloude-restaurant-owner-us-lead-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/kloude~restaurant-owner-us-lead-scraper/run-sync": { "post": { "operationId": "run-sync-kloude-restaurant-owner-us-lead-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", "required": [ "profession", "cities" ], "properties": { "profession": { "title": "Profession / business type", "type": "string", "description": "Target business type to scrape (e.g. 'real estate agent', 'plumber', 'restaurant')", "default": "restaurant owner" }, "cities": { "title": "Cities", "type": "array", "description": "List of cities to scrape. Up to 50.", "items": { "type": "string" } }, "country": { "title": "Country code", "type": "string", "description": "ISO country code (e.g. US, CA, UK). Used for regional source routing.", "default": "US" }, "maxLeadsPerCity": { "title": "Max leads per city", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of leads to scrape per city. Defaults to 100. Higher values cost more compute.", "default": 100 }, "sources": { "title": "Data sources", "type": "array", "description": "Which sources to scrape. gmaps = Google Maps (recommended, broad coverage). yelp = Yelp (EXPERIMENTAL: Yelp aggressively blocks scrapers — usually returns 0 leads even with residential proxy). Stick with gmaps unless you know what you're doing.", "items": { "type": "string", "enum": [ "gmaps", "yelp" ] }, "default": [ "gmaps" ] }, "enrichEmails": { "title": "Find emails", "type": "boolean", "description": "Scrape contact pages + Hunter.io to find verified emails. Adds ~2s per lead.", "default": true }, "generateColdEmails": { "title": "Generate AI cold emails", "type": "boolean", "description": "Use Gemini to generate a personalized cold email subject + body for each lead with a verified email.", "default": true }, "coldEmailTone": { "title": "Cold email tone", "enum": [ "professional", "casual", "punchy" ], "type": "string", "description": "Writing style for the generated cold email.", "default": "professional" }, "serviceOffering": { "title": "What you sell", "type": "string", "description": "Short description of your product/service — used to personalize cold emails." }, "geminiApiKey": { "title": "Your Gemini API key (optional, BYOK)", "type": "string", "description": "Bring your own Gemini API key for unlimited AI generation. Leave empty to use actor's free tier (limited daily quota). Get key free at https://aistudio.google.com" } } }, "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 } } } } } } } } } } ```