# Mass Linkedin Email Scraper (`easy_scraper/mass-linkedin-email-scraper`) Actor πŸ”Ž Discover niche-targeted LinkedIn profiles and company pages using smart Google search logic. πŸ“§ Extract publicly visible emails fast with domain filtering and precision targeting. πŸ“¦ Export clean, structured email + LinkedIn link pairs ready for outreach. - **URL**: https://apify.com/easy\_scraper/mass-linkedin-email-scraper.md - **Developed by:** [easy scraper](https://apify.com/easy_scraper) (community) - **Categories:** Lead generation, Social media - **Stats:** 5 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing $5.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ### πŸš€ LinkedIn Mass Email Scraper πŸ”Ž This Actor searches Google for LinkedIn pages in your niche (profiles, companies, schools, showcase pages, and posts), then extracts email leads fast. 🎯 It is optimized to quickly collect **email + LinkedIn link** pairs per keyword, with flexible filters for email domains and LinkedIn URL types (profiles, companies, schools, showcase pages, content). --- ### 🎯 Goal - πŸ” **Find LinkedIn-related pages in specific niches**, optionally filtered by country. - πŸ“§ **Collect visible emails** (e.g. `@gmail.com`, `@yahoo.com`) Fast. - πŸ“¦ **Produce clean, structured output** in an Apify dataset ready for CSV / JSON export or API usage. --- ### ⭐ Key Features - 🌐 **Google dork–based discovery**: Uses carefully crafted Google queries to discover Instagram profiles for each keyword. - 🎚️ **Per-keyword lead cap**: Strictly respects `maxLeadsPerKeyword` per keyword so you control volume and cost. - ⚑ **HTML-only scraping**: Loads only the main document for each profile to minimize proxy bandwidth. - πŸ†“ **Free Tier Available:** GET 2 Hours Trial FOR FREE per run! Perfect for testing or small campaigns. --- ### βš™οΈ Input Parameters | 🏷️ Parameter | 🧩 Type | βœ… Required | πŸ”’ Default | πŸ“ Description | |--------------|--------|------------|------------|----------------| | `keywords` | array of strings | Yes | `["b2b marketing agency", "SaaS founder", "recruitment agency"]` | Niche keywords describing the type of LinkedIn pages / audiences you want to reach. One keyword per row. | | `country` | string | No | β€” | Optional location term appended to each Google query as an exact phrase. Examples: `"USA"`, `"UK"`, `"Canada"`, `"Dubai"`, `"Berlin"`. Leave empty for worldwide results. | | `maxLeadsPerKeyword` | integer | No | 50 | Maximum number of **email leads** saved per keyword. Only results where an email is found are counted. | | `emailDomains` | array of strings | No | `[]` | Optional list of email domains to bias results towards. Examples: `gmail.com`, `yahoo.com`, `outlook.com`. In queries they are searched as `@gmail.com`, `@yahoo.com`, etc. | | `linkedinResultTypes` | array of strings | No | `["profile", "company", "school", "showcase", "content"]` | Select which LinkedIn URL types to bias in Google: `profile` (`/in/`, `/pub/`), `company` (`/company/`), `school` (`/school/`), `showcase` (`/showcase/`), and content (`/posts/`, `/pulse/`). Leave as default to search across all while excluding obvious non-lead sections like `/groups/`, `/events/`, `/jobs/`, `/feed/`. | --- ### πŸ“€ Output Data Format Typical fields: ```json { "email": "amy.leznoff@gmail.com", "result_url": "https://www.linkedin.com/company/lifestyle-family-fitness", "profile_url": "https://www.linkedin.com/company/lifestyle-family-fitness/", "page_title": "Lifestyle Family Fitness", "snippet": "Employees at Lifestyle Family Fitness Β· Amy Leznoff (amy.leznoff@ gmail.com ) Β· Angelo Miranda Β· Jim Albury. Read more", "source_keyword": "fitness" } ```` ### πŸ‘₯ Who is this Actor for? - 🏒 **Agencies and freelancers** looking to build targeted LinkedIn outreach lists for specific niches (e.g. B2B founders, hiring managers, agencies, local businesses). - πŸš€ **Founders and growth marketers** who want a repeatable way to discover relevant LinkedIn accounts and company pages with publicly listed emails. - 🎯 **Lead-generation specialists** who want a β€œsmart” scraper that prioritizes quality and relevance over raw volume. - πŸ“§ **Cold Email Campaigns:** Build targeted email lists for B2B services or product launches. *** ### πŸ› οΈ How to Use #### 1️⃣ Add your keywords Use descriptive, niche-focused keywords like: - `fitness coach` - `nutritionist` - `real estate agent` - `vegan restaurant` *** #### 2️⃣ Optionally set a country / location Use a country or city name as you would type it into Google: - `USA`, `UK`, `Canada`, `Dubai`, `Berlin` Leave empty to search worldwide. *** #### 3️⃣ Set `maxLeadsPerKeyword` Controls how many profiles per keyword are saved to the dataset. Typical values: `20–500` depending on how broad your keywords are. *** #### 4️ Choose the required email Provider gmail , outlook , etc .. Or Leave default *** #### 5️⃣ Choose the required LinkedIn URL types (optional) *** #### 6️⃣ Run the Actor - ▢️ Click **Run** in Apify Console. - πŸ“Š After the run finishes, open the **Output** tab to inspect and download the results. # Actor input Schema ## `keywords` (type: `array`): Niche keywords for which you want to find email leads on Google (e.g. "fitness coach", "marketing agency", "b2b SaaS founder"). Add one keyword per row. ## `country` (type: `string`): Optional location term to bias Google results (e.g. "USA", "UK", "Dubai"). Leave empty to search worldwide. ## `maxLeadsPerKeyword` (type: `integer`): Maximum number of email leads to save per keyword. Only results where an email was found are counted. ## `emailDomains` (type: `array`): One or more email domains to bias results towards. By default the Actor uses common providers (gmail.com, outlook.com, yahoo.com, hotmail.com, icloud.com). You can keep them, remove some, or add your own custom domains (e.g. agency.com). ## `linkedinResultTypes` (type: `array`): Select which LinkedIn URL types to bias Google results towards: profiles, companies, schools, showcase pages, or content posts. When left empty, all are targeted and non-lead sections (groups, jobs, feed) are excluded by default. ## Actor input object example ```json { "keywords": [ "fitness coach", "personal trainer", "crossfit gym" ], "maxLeadsPerKeyword": 50, "emailDomains": [ "gmail.com", "outlook.com", "yahoo.com", "hotmail.com", "icloud.com" ], "linkedinResultTypes": [ "profile", "company", "school", "showcase", "content" ] } ``` # Actor output Schema ## `overview` (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("easy_scraper/mass-linkedin-email-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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("easy_scraper/mass-linkedin-email-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call easy_scraper/mass-linkedin-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easy_scraper/mass-linkedin-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Mass Linkedin Email Scraper", "description": "πŸ”Ž Discover niche-targeted LinkedIn profiles and company pages using smart Google search logic.\nπŸ“§ Extract publicly visible emails fast with domain filtering and precision targeting.\nπŸ“¦ Export clean, structured email + LinkedIn link pairs ready for outreach.", "version": "0.1", "x-build-id": "hYgQQRF94IYvsn5cm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easy_scraper~mass-linkedin-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easy_scraper-mass-linkedin-email-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/easy_scraper~mass-linkedin-email-scraper/runs": { "post": { "operationId": "runs-sync-easy_scraper-mass-linkedin-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/easy_scraper~mass-linkedin-email-scraper/run-sync": { "post": { "operationId": "run-sync-easy_scraper-mass-linkedin-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "Niche keywords for which you want to find email leads on Google (e.g. \"fitness coach\", \"marketing agency\", \"b2b SaaS founder\"). Add one keyword per row.", "items": { "type": "string" }, "default": [ "fitness coach", "personal trainer", "crossfit gym" ] }, "country": { "title": "Country / location", "type": "string", "description": "Optional location term to bias Google results (e.g. \"USA\", \"UK\", \"Dubai\"). Leave empty to search worldwide." }, "maxLeadsPerKeyword": { "title": "Max leads per keyword", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of email leads to save per keyword. Only results where an email was found are counted.", "default": 50 }, "emailDomains": { "title": "Email domains (preset or custom)", "type": "array", "description": "One or more email domains to bias results towards. By default the Actor uses common providers (gmail.com, outlook.com, yahoo.com, hotmail.com, icloud.com). You can keep them, remove some, or add your own custom domains (e.g. agency.com).", "items": { "type": "string" }, "default": [ "gmail.com", "outlook.com", "yahoo.com", "hotmail.com", "icloud.com" ] }, "linkedinResultTypes": { "title": "LinkedIn result types", "type": "array", "description": "Select which LinkedIn URL types to bias Google results towards: profiles, companies, schools, showcase pages, or content posts. When left empty, all are targeted and non-lead sections (groups, jobs, feed) are excluded by default.", "items": { "type": "string", "enum": [ "profile", "company", "school", "showcase", "content" ] }, "default": [ "profile", "company", "school", "showcase", "content" ] } } }, "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 } } } } } } } } } } ```