# LinkedIn Employees Scraper - B2B Leads (No Login) (`themineworks/linkedin-employees`) Actor Affordable LinkedIn employees scraper: B2B leads, no login. $2/1,000 results, 25 free, pay-per-result, no subscription. Works in Claude, ChatGPT & any MCP-compatible AI agent. - **URL**: https://apify.com/themineworks/linkedin-employees.md - **Developed by:** [The Mine Works](https://apify.com/themineworks) (community) - **Categories:** Business, Developer tools, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 1,000 profiles 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 ## LinkedIn Employees Scraper - B2B Leads (No Login) Find the people who work at any company on LinkedIn and turn them into a clean B2B lead list — **name, headline/title, location and public profile URL** — without ever logging in to LinkedIn and without risking an account ban. This actor **never touches LinkedIn directly**. LinkedIn runs one of the most aggressive anti-bot systems on the web, and scraping it logged-in is the fastest way to get an account permanently banned. Instead, this actor uses the **public Google search index** as a soft surface: Google has already crawled millions of public LinkedIn profile pages (`linkedin.com/in/…`), and each result exposes the person's public name, headline and location. We query Google, parse the results, and hand you structured leads. Every byte comes from Google — zero requests hit LinkedIn. Works as a standalone Apify Actor and as an **MCP tool** inside Claude, ChatGPT and any MCP-compatible AI agent — just ask "find engineers at Stripe" and the agent calls this actor. ### What it does Given a **company name** (and optionally a **job title**), it runs the Google query: ```` site:linkedin.com/in "" ```` then paginates through Google's results (`&start=0,10,20,…`), extracts every public LinkedIn member profile, de-duplicates by profile URL, and returns one record per person. ### Input | Field | Type | Required | Default | Description | |-------|------|----------|---------|-------------| | `companyName` | string | yes | `Stripe` | Company whose employees you want to find (e.g. `Stripe`, `Shopify`, `Tata Consultancy Services`). | | `jobTitle` | string | no | `engineer` | Optional role/keyword to narrow results (e.g. `engineer`, `sales`, `recruiter`, `product manager`). Leave blank for all roles. | | `maxResults` | integer | no | `50` (prefill `15`) | Max profiles to return. Min 1, max 1000. | | `proxyConfiguration` | object | no | `GOOGLE_SERP` | Apify proxy. The **GOOGLE_SERP** group returns raw Google SERP HTML and is strongly recommended; RESIDENTIAL works as a fallback. | #### Example input ```json { "companyName": "Stripe", "jobTitle": "engineer", "maxResults": 25, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["GOOGLE_SERP"] } } ```` ### Output One dataset item per person. A final `_type: "summary"` record reports counts. ```json { "name": "Jane Doe", "headline": "Senior Software Engineer at Stripe", "company": "Stripe", "location": "San Francisco, California", "linkedin_url": "https://www.linkedin.com/in/jane-doe", "source_query": "site:linkedin.com/in \"Stripe\" engineer", "scraped_at": "2026-06-16T10:30:00.000Z" } ``` | Field | Description | |-------|-------------| | `name` | Person's full name (parsed from the public profile title). | | `headline` | Public headline / role line, when present. | | `company` | The company you searched for (echoed for convenience). | | `location` | Public location, when present in the result snippet. | | `linkedin_url` | Canonical public profile URL (`linkedin.com/in/`). | | `source_query` | The exact Google query used. | | `scraped_at` | ISO-8601 timestamp of extraction. | ### Pricing — Pay Per Event - **$0.005 per profile** delivered (`profile-scraped`). - **First 25 profiles are free per Apify account** (lifetime), so you can try it before paying. - Empty searches, Google bot-walls and failed runs are **never charged** — you only pay for real leads. ### How it stays reliable (anti-bot) - **Never hits LinkedIn.** All data is read from Google's public index. - Routes through the **GOOGLE\_SERP** proxy group (purpose-built for raw Google SERP HTML), with a fresh proxy session per page and automatic rotation on a bot-wall or transport error. - Pure HTTP via `got-scraping` (browser-grade TLS + headers), 512 MB — no headless browser needed. - Tolerant SERP parser that keys off `linkedin.com/in/` links rather than Google's shifting CSS class names, so it keeps working as Google tweaks its markup. ### FAQ **Does this log in to LinkedIn or need cookies?** No. It never sends a single request to LinkedIn. There is nothing to log in to and no ban risk. **Is this legal / compliant?** It only collects **public** information that Google has already indexed and that LinkedIn members have chosen to make public. Use the results in line with GDPR/CCPA and your local laws (lawful basis for B2B outreach, honor opt-outs, etc.). You are responsible for how you use the leads. **Why don't I get an email or phone number?** Those are not public on LinkedIn profiles, so they are not in Google's index. This actor returns the publicly visible fields only. Pair it with an email-finder/enrichment actor if you need contact details. **Why fewer results than the company's real headcount?** Coverage is limited to profiles Google has indexed and that mention the company name publicly. Large companies return more; very small or stealth companies return fewer. Dropping the `jobTitle` widens the net. **Some `headline` or `location` fields are missing.** Google's snippet doesn't always expose them. The `name` and `linkedin_url` are always present; the rest is best-effort. **Can I narrow by seniority or department?** Yes — put it in `jobTitle` (e.g. `VP marketing`, `staff engineer`, `talent acquisition`). # Actor input Schema ## `companyName` (type: `string`): The company whose employees you want to find on LinkedIn (e.g. "Stripe", "Shopify", "Tata Consultancy Services"). Used to match public LinkedIn profiles via Google. ## `jobTitle` (type: `string`): Optional role or keyword to narrow results (e.g. "engineer", "sales", "recruiter", "product manager"). Leave blank to return employees across all roles. ## `maxResults` (type: `integer`): Maximum number of employee profiles to return. ## `proxyConfiguration` (type: `object`): Results are fetched from Google search. The GOOGLE\_SERP proxy group returns raw Google SERP HTML and is strongly recommended. RESIDENTIAL also works as a fallback. ## `debugSnippets` (type: `boolean`): Internal: log raw result snippets to diagnose location parsing. ## Actor input object example ```json { "companyName": "Stripe", "jobTitle": "engineer", "maxResults": 15, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "GOOGLE_SERP" ] }, "debugSnippets": false } ``` # 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 = { "companyName": "Stripe", "jobTitle": "engineer", "maxResults": 15, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "GOOGLE_SERP" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("themineworks/linkedin-employees").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 = { "companyName": "Stripe", "jobTitle": "engineer", "maxResults": 15, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["GOOGLE_SERP"], }, } # Run the Actor and wait for it to finish run = client.actor("themineworks/linkedin-employees").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 '{ "companyName": "Stripe", "jobTitle": "engineer", "maxResults": 15, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "GOOGLE_SERP" ] } }' | apify call themineworks/linkedin-employees --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=themineworks/linkedin-employees", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Employees Scraper - B2B Leads (No Login)", "description": "Affordable LinkedIn employees scraper: B2B leads, no login. $2/1,000 results, 25 free, pay-per-result, no subscription. Works in Claude, ChatGPT & any MCP-compatible AI agent.", "version": "0.1", "x-build-id": "KC8FN3QFEh9p3Eu7Z" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/themineworks~linkedin-employees/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-themineworks-linkedin-employees", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/themineworks~linkedin-employees/runs": { "post": { "operationId": "runs-sync-themineworks-linkedin-employees", "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/themineworks~linkedin-employees/run-sync": { "post": { "operationId": "run-sync-themineworks-linkedin-employees", "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": { "companyName": { "title": "Company name", "type": "string", "description": "The company whose employees you want to find on LinkedIn (e.g. \"Stripe\", \"Shopify\", \"Tata Consultancy Services\"). Used to match public LinkedIn profiles via Google." }, "jobTitle": { "title": "Job title / keyword (optional)", "type": "string", "description": "Optional role or keyword to narrow results (e.g. \"engineer\", \"sales\", \"recruiter\", \"product manager\"). Leave blank to return employees across all roles." }, "maxResults": { "title": "Max profiles", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of employee profiles to return.", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Results are fetched from Google search. The GOOGLE_SERP proxy group returns raw Google SERP HTML and is strongly recommended. RESIDENTIAL also works as a fallback.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "GOOGLE_SERP" ] } }, "debugSnippets": { "title": "Debug snippets (internal)", "type": "boolean", "description": "Internal: log raw result snippets to diagnose location parsing.", "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 } } } } } } } } } } ```