# Email Extractor Pro Max 🚀 (`abdulbasiths/email-extractor-pro-max`) Actor Turn Google Maps into a powerful lead generation machine with Email Extractor Pro Max — a high-speed Apify actor designed to scrape verified business emails, phone numbers, websites, addresses, ratings, social links, and more directly from Google Maps listings. \#Googlemaps \#EmailExtractor \#Maps - **URL**: https://apify.com/abdulbasiths/email-extractor-pro-max.md - **Developed by:** [Abdul Basit Hs](https://apify.com/abdulbasiths) (community) - **Categories:** Lead generation, Agents, Developer tools - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN 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 ## 🤖 Google Maps Email Scraper & Sender — Apify Actor > Automatically scrapes business emails from Google Maps and sends personalized outreach emails for **[easyaiagents.online](https://easyaiagents.online)** --- ### 📁 Repo Structure ```` ├── .actor/ │ ├── actor.json ← Apify actor config │ └── input\_schema.json ← Input form shown in Apify UI ├── src/ │ ├── main.js ← Entry point │ ├── scraper.js ← Google Maps scraper (Playwright) │ ├── mailer.js ← Email sender + HTML template │ └── utils.js ← Shared helpers ├── Dockerfile ← Uses Apify Playwright base image ├── package.json └── README.md ``` --- ### 🚀 Deploy on Apify (from GitHub) 1. Go to [apify.com](https://apify.com) → **Actors** → **Create new Actor** 2. Choose **"Link GitHub repository"** 3. Paste your GitHub repo URL 4. Click **Build** — Apify will auto-build from the `Dockerfile` 5. Once built, click **Run** and fill in the input form --- ### ⚙️ Input Fields | Field | Required | Description | |-------|----------|-------------| | `searchQuery` | ✅ | Google Maps search, e.g. `"restaurants in Karachi"` | | `maxResults` | ✅ | How many listings to scrape (1–200) | | `sendEmails` | ❌ | Turn ON to send emails after scraping | | `senderEmail` | If sending | Your Gmail address | | `senderPassword` | If sending | Gmail App Password (16-digit) | | `senderName` | ❌ | Name shown in From field | | `delayBetweenEmails` | ❌ | Seconds between emails (default 25) | | `scrapeOnly` | ❌ | Only scrape, skip email sending | --- ### 📧 Gmail App Password Setup (One-Time) 1. Go to [Google Account](https://myaccount.google.com) → **Security** 2. Enable **2-Step Verification** 3. Go to **App Passwords** → Create → Select **Mail** 4. Copy the **16-digit password** → paste into `senderPassword` field > ⚠️ Never use your regular Gmail password — App Password only! --- ### 📊 Output All scraped leads are saved to the **Apify Dataset** (visible in the Dataset tab): | Column | Description | |--------|-------------| | `name` | Business name | | `email` | Email address found | | `phone` | Phone number | | `website` | Business website | | `address` | Physical address | | `mapsUrl` | Google Maps listing URL | You can export the dataset as **CSV, JSON, or Excel** from the Apify UI. --- ### 💡 Example Queries ``` digital marketing agency Karachi restaurants in Lahore software house Islamabad real estate agent Dubai dentist clinic Karachi gym fitness center Lahore ```` --- ### ⚠️ Best Practices - Send max **100 emails/day** on a new Gmail account - Keep delay at **25–40 seconds** between emails - Gradually increase: Week 1 → 20/day, Week 2 → 50/day, Week 3 → 100/day - Only contact businesses with **publicly listed** contact info --- ### 🌐 Website **[easyaiagents.online](https://easyaiagents.online)** ## Actor input object example ```json {} ```` # 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("abdulbasiths/email-extractor-pro-max").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("abdulbasiths/email-extractor-pro-max").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 abdulbasiths/email-extractor-pro-max --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=abdulbasiths/email-extractor-pro-max", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Email Extractor Pro Max 🚀", "description": "Turn Google Maps into a powerful lead generation machine with Email Extractor Pro Max — a high-speed Apify actor designed to scrape verified business emails, phone numbers, websites, addresses, ratings, social links, and more directly from Google Maps listings.\n\n#Googlemaps\n#EmailExtractor\n#Maps", "version": "0.0", "x-build-id": "ct6v7ckCnQ6oLOaAp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/abdulbasiths~email-extractor-pro-max/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-abdulbasiths-email-extractor-pro-max", "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/abdulbasiths~email-extractor-pro-max/runs": { "post": { "operationId": "runs-sync-abdulbasiths-email-extractor-pro-max", "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/abdulbasiths~email-extractor-pro-max/run-sync": { "post": { "operationId": "run-sync-abdulbasiths-email-extractor-pro-max", "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": {} }, "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 } } } } } } } } } } ```