# Vietnam Restaurant Lead Scraper with Emails (`obliging_persimmon_cki/vietnam-restaurant-lead-scraper`) Actor Scrape restaurant and cafe leads from Google Maps in Vietnam and extract emails when available. - **URL**: https://apify.com/obliging\_persimmon\_cki/vietnam-restaurant-lead-scraper.md - **Developed by:** [Dung Huynh](https://apify.com/obliging_persimmon_cki) (community) - **Categories:** Lead generation, Travel, SEO tools - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Vietnam Restaurant Lead Scraper with Emails This Actor searches Google Maps for restaurants, cafes, and food businesses in Vietnam, extracts business details, and attempts to find email addresses from available websites. It is useful for food suppliers, delivery platforms, POS vendors, B2B sales teams, and marketing agencies. This Actor extracts business information such as name, category, rating, address, phone number, website, email, and Google Maps URL. ### Features - Scrape Google Maps business search results - Extract business name, category, rating, address, phone number and website - Extract emails from business websites - Deduplicate repeated Google Maps results - Add `hasEmail`, `leadScore` and `leadQuality` - Support custom keyword and location - Support parallel processing ### Input ```json { "keyword": "restaurant", "location": "Ho Chi Minh", "maxResults": 20, "batchSize": 5, "extractEmails": true, "useApifyProxy": false } ```` ### Input fields | Field | Type | Description | |---|---|---| | `keyword` | string | Search keyword for restaurants, cafes, and food businesses | | `location` | string | Target city or area, for example `Ho Chi Minh` or `Ho Chi Minh` | | `maxResults` | integer | Maximum number of businesses to scrape | | `batchSize` | integer | Number of business detail pages processed in parallel | | `extractEmails` | boolean | Whether to extract email addresses from business websites | | `useApifyProxy` | boolean | Whether to use Apify Proxy for browser requests | ### Output ```json { "keyword": "restaurant", "location": "Ho Chi Minh", "name": "Example restaurant", "rating": "4.5", "category": "restaurant", "address": "Ho Chi Minh, Vietnam", "website": "https://example.com", "phone": "+84 123 456 789", "email": "info@example.com", "emails": ["info@example.com"], "hasEmail": true, "leadScore": 95, "leadQuality": "high", "googleMapsUrl": "https://www.google.com/maps/place/..." } ``` ### Output fields | Field | Type | Description | |---|---|---| | `keyword` | string | Keyword used to find the lead | | `location` | string | Location used in the search | | `name` | string | Business name | | `rating` | string or null | Google Maps rating | | `category` | string or null | Business category | | `address` | string or null | Business address | | `website` | string or null | Business website URL | | `phone` | string or null | Business phone number | | `email` | string or null | First extracted email address | | `emails` | array | All extracted email addresses | | `hasEmail` | boolean | Whether at least one email was found | | `leadScore` | integer | Contact completeness score from 0 to 100 | | `leadQuality` | string | `high`, `medium` or `low` based on lead score | | `googleMapsUrl` | string | Google Maps business URL | ### Notes Email extraction depends on whether the business website publicly displays an email address. Some businesses may not have a website or may block automated browser access. Runtime and cost depend on result limits, website loading speed, and whether email extraction is enabled. ### Recommended use cases - Lead generation - Local business research - Sales prospecting - Market research - Building contact lists - Finding businesses with websites and public contact emails ### Example search ```json { "keyword": "restaurant", "location": "Ho Chi Minh", "maxResults": 20 } ``` # Actor input Schema ## `location` (type: `string`): Target city or area. ## `keyword` (type: `string`): Search keyword for restaurants, cafes, and food businesses. ## `maxResults` (type: `integer`): Maximum number of Google Maps results to scrape. ## `batchSize` (type: `integer`): Number of business detail pages processed in parallel. ## `extractEmails` (type: `boolean`): Whether to extract email addresses from business websites. ## `useApifyProxy` (type: `boolean`): Whether to use Apify Proxy for browser requests. ## Actor input object example ```json { "location": "Ho Chi Minh", "keyword": "restaurant", "maxResults": 10, "batchSize": 5, "extractEmails": true, "useApifyProxy": false } ``` # Actor output Schema ## `dataset` (type: `string`): No description # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("obliging_persimmon_cki/vietnam-restaurant-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 = {} # Run the Actor and wait for it to finish run = client.actor("obliging_persimmon_cki/vietnam-restaurant-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 '{}' | apify call obliging_persimmon_cki/vietnam-restaurant-lead-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=obliging_persimmon_cki/vietnam-restaurant-lead-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Vietnam Restaurant Lead Scraper with Emails", "description": "Scrape restaurant and cafe leads from Google Maps in Vietnam and extract emails when available.", "version": "0.0", "x-build-id": "GSp6AAF7cvdth5GC5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/obliging_persimmon_cki~vietnam-restaurant-lead-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-obliging_persimmon_cki-vietnam-restaurant-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/obliging_persimmon_cki~vietnam-restaurant-lead-scraper/runs": { "post": { "operationId": "runs-sync-obliging_persimmon_cki-vietnam-restaurant-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/obliging_persimmon_cki~vietnam-restaurant-lead-scraper/run-sync": { "post": { "operationId": "run-sync-obliging_persimmon_cki-vietnam-restaurant-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": [ "location", "keyword" ], "properties": { "location": { "title": "Location", "type": "string", "description": "Target city or area.", "default": "Ho Chi Minh" }, "keyword": { "title": "Keyword", "type": "string", "description": "Search keyword for restaurants, cafes, and food businesses.", "default": "restaurant" }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of Google Maps results to scrape.", "default": 10 }, "batchSize": { "title": "Batch size", "minimum": 1, "maximum": 20, "type": "integer", "description": "Number of business detail pages processed in parallel.", "default": 5 }, "extractEmails": { "title": "Extract emails", "type": "boolean", "description": "Whether to extract email addresses from business websites.", "default": true }, "useApifyProxy": { "title": "Use Apify Proxy", "type": "boolean", "description": "Whether to use Apify Proxy for browser requests.", "default": false } } }, "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 } } } } } } } } } } ```