# LinkedIn Profile Scraper & Email Finder - No Login (`santhej/linkedin-profile-email-scraper`) Actor Scrape public LinkedIn profiles in bulk: name, headline, location, about & current company. Optionally find verified work emails by company domain. Paste profile URLs or slugs. Clean JSON/CSV for recruiting & sales. No login required. - **URL**: https://apify.com/santhej/linkedin-profile-email-scraper.md - **Developed by:** [Santhej Kallada](https://apify.com/santhej) (community) - **Categories:** Lead generation, MCP servers - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 Profile Scraper & Email Finder — No Login Required **Scrape public LinkedIn profiles in bulk — name, headline, location, about, and current company — and optionally find verified work emails. No login, no cookies, no account bans.** Paste profile URLs or slugs and get clean, structured records for recruiting, sales prospecting, and lead enrichment. Add a company domain to also pull verified work emails. --- ### What you get per profile - 👤 **Name & headline** - 📍 **Location** - 🏢 **Current company** - 📝 **About / summary** - 🖼️ **Profile photo** - 💼 **Full work history** — company, title and dates for every listed role - 🎓 **Education** — schools, degrees and dates - 🔗 **Social links** (other profiles the page links to) - 📧 **Verified work email** (optional, by company domain) The work history, education, photo and social links are parsed from the same public page — no extra requests. ### Perfect for - **Recruiting** — enrich candidate lists with structured profile data. - **Sales prospecting** — find decision-makers and their emails. - **Lead enrichment** — turn profile URLs into CRM-ready records. - **Market research** — analyze roles and seniority across a company. - **AI agents** — feed structured profiles into outreach pipelines and MCP tools. ### How to use it 1. Paste **profile URLs or slugs**. 2. To find emails, enter a **company domain** (e.g. `microsoft.com`). 3. Run it — export JSON/CSV or pull via the API. #### Example input ```json { "profiles": ["satyanadella"], "includeEmail": true, "companyDomain": "microsoft.com" } ```` #### Example output (one row per profile) ```json { "name": "Satya Nadella", "headline": "Chairman and CEO at Microsoft", "location": "Redmond, Washington, United States", "current_company": "Microsoft", "image": "https://media.licdn.com/...", "experience": [ { "company": "Microsoft", "title": "Chairman and CEO", "start_date": "2014-02-01", "end_date": null } ], "education": [ { "school": "University of Wisconsin-Milwaukee", "degree": "MS", "start_date": null, "end_date": null } ], "social_links": ["https://twitter.com/satyanadella"], "email": "satya.nadella@microsoft.com", "email_score": 95, "profile_url": "https://www.linkedin.com/in/satyanadella" } ``` ### Pricing Pay per profile scraped, with a higher charge only when a verified email is found. No subscription, no minimum. ### FAQ **Do I need to log in?** No — only public profile data, no auth or cookies. **How are emails found?** By matching the profile name to your provided company domain via a verified email-finder. **Will every profile return data?** Most public profiles do; some restricted profiles may require login and are skipped. **Good for AI agents?** Yes — clean JSON, ideal for MCP servers, n8n, Make, and LLM agents. *** *Tags: linkedin scraper, linkedin profile scraper, email finder, lead generation, sales prospecting, recruiting, b2b leads, contact finder, linkedin email.* # Actor input Schema ## `profiles` (type: `array`): Profile URLs or slugs, e.g. ‘williamhgates’ or ‘https://www.linkedin.com/in/williamhgates’. One per line. Up to 200 per run. ## `includeEmail` (type: `boolean`): Find a verified work email for each profile (requires a company domain below). Emails found are charged at a higher rate. ## `companyDomain` (type: `string`): The company domain to find emails at, e.g. ‘microsoft.com’. Applied to all profiles in this run. Leave blank to skip email finding. ## Actor input object example ```json { "profiles": [ "williamhgates", "https://www.linkedin.com/in/satyanadella" ], "includeEmail": true } ``` # Actor output Schema ## `dataset` (type: `string`): Scraped LinkedIn profiles. ## `summary` (type: `string`): Profiles scraped and emails found. # 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 = { "profiles": [ "williamhgates", "https://www.linkedin.com/in/satyanadella" ] }; // Run the Actor and wait for it to finish const run = await client.actor("santhej/linkedin-profile-email-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 = { "profiles": [ "williamhgates", "https://www.linkedin.com/in/satyanadella", ] } # Run the Actor and wait for it to finish run = client.actor("santhej/linkedin-profile-email-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 '{ "profiles": [ "williamhgates", "https://www.linkedin.com/in/satyanadella" ] }' | apify call santhej/linkedin-profile-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=santhej/linkedin-profile-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile Scraper & Email Finder - No Login", "description": "Scrape public LinkedIn profiles in bulk: name, headline, location, about & current company. Optionally find verified work emails by company domain. Paste profile URLs or slugs. Clean JSON/CSV for recruiting & sales. No login required.", "version": "0.0", "x-build-id": "qTqs5qmTCd1xpbuBs" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/santhej~linkedin-profile-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-santhej-linkedin-profile-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/santhej~linkedin-profile-email-scraper/runs": { "post": { "operationId": "runs-sync-santhej-linkedin-profile-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/santhej~linkedin-profile-email-scraper/run-sync": { "post": { "operationId": "run-sync-santhej-linkedin-profile-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", "properties": { "profiles": { "title": "LinkedIn profiles", "minItems": 1, "maxItems": 200, "type": "array", "description": "Profile URLs or slugs, e.g. ‘williamhgates’ or ‘https://www.linkedin.com/in/williamhgates’. One per line. Up to 200 per run.", "items": { "type": "string" } }, "includeEmail": { "title": "Find work emails", "type": "boolean", "description": "Find a verified work email for each profile (requires a company domain below). Emails found are charged at a higher rate.", "default": true }, "companyDomain": { "title": "Company domain (for email finding)", "type": "string", "description": "The company domain to find emails at, e.g. ‘microsoft.com’. Applied to all profiles in this run. Leave blank to skip email finding." } } }, "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 } } } } } } } } } } ```