# Linkedin Profile Scraper + Mail (No Cookies) (`leadsbrary/linkedin-profile-scraper`) Actor No cookies, no login, no browser required. Extract full LinkedIn profile data in seconds — experience, education, skills, contact info, connections & more. Paste URLs and get structured JSON instantly. - **URL**: https://apify.com/leadsbrary/linkedin-profile-scraper.md - **Developed by:** [Alexandre Manguis](https://apify.com/leadsbrary) (community) - **Categories:** Lead generation, Jobs, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 **Paste URLs. Get data. That's it.** No login. No cookie setup. No browser. Just drop LinkedIn profile URLs and the actor returns clean, structured JSON in seconds. --- ### What you get Every run outputs a complete dataset — one row per profile: | Data category | Fields extracted | |---------------|-----------------| | **Identity** | Full name, headline, summary, location, industry, profile photo, background image | | **Status** | Premium badge, Influencer badge, Open to Work, connection degree | | **Network** | Connections count, followers count | | **Contact** | Email, phone number, Twitter/X, websites, address *(when public)* | | **Experience** | Title, company, employment type, location, description, start/end dates, duration | | **Education** | School, degree, field of study, grade, activities, dates | | **Skills** | Full list (100+ skills supported) | | **Languages** | Name + proficiency level | | **Certifications** | Name, authority, license number, URL, issue/expiry dates | | **Projects** | Title, description, URL, dates | | **Publications** | Name, publisher, description, URL, date | | **Honors & Awards** | Title, issuer, description, date | | **Volunteering** | Role, organization, cause, description, dates | | **Courses** | Name, number | | **Test scores** | Name, score, description, date | | **Organizations** | Name, position, description, dates | | **Patents** | Title, numbers, inventors, filing/issue dates, pending status | --- ### Quick start 1. Click **Try for free** 2. Paste one or more LinkedIn profile URLs (one per line) 3. Click **Start** — results land in your dataset within seconds --- ### Input | Field | Description | Default | |-------|-------------|---------| | `profileUrls` | List of LinkedIn profile URLs | *(required)* | | `fetchContactInfo` | Include email, phone, websites, Twitter | `true` | | `fetchNetworkInfo` | Include connections and followers count | `true` | > **Defaults applied automatically:** 2 s delay between requests · residential proxy via Apify · up to 100 profiles per run. #### Example input ```json { "profileUrls": [ "https://www.linkedin.com/in/satya-nadella", "https://www.linkedin.com/in/jeffweiner08" ], "fetchContactInfo": true, "fetchNetworkInfo": true } ```` *** ### Example output ```json { "fullName": "Satya Nadella", "headline": "Chairman and CEO at Microsoft", "location": "Redmond, Washington, United States", "industry": "Software Development", "isPremium": true, "isInfluencer": true, "isOpenToWork": false, "email": null, "connectionsCount": 500, "followersCount": 11500000, "connectionDegree": "DISTANCE_3", "currentCompany": "Microsoft", "currentTitle": "Chairman and CEO", "positionsCount": 5, "skillsCount": 23, "positions": [ { "title": "Chairman and CEO", "companyName": "Microsoft", "companyLinkedinUrl": "https://www.linkedin.com/company/microsoft", "employmentType": "Full-time", "startDate": "2014-02", "endDate": null, "isCurrent": true } ], "skills": ["Cloud Computing", "Azure", "Leadership", "..."], "educations": [...], "certifications": [], "succeeded": true, "scrapedAt": "2025-01-15T10:30:00Z" } ``` *** ### Use cases - **Lead generation** — Enrich prospect lists with accurate titles, companies and contact info - **Recruitment** — Screen candidates at scale before outreach - **Market research** — Map competitors, talent pools or industry networks - **CRM enrichment** — Keep contact records up to date automatically *** ### Performance & limits - Processes up to **100 profiles per run** per run - Built on the LinkedIn Voyager API — fast, reliable, no browser overhead - Respects LinkedIn's rate limits automatically with a 2 s delay between requests *** ### Keywords `linkedin` `linkedin scraper` `profile scraper` `linkedin profile data` `email extractor` `phone number` `lead generation` `b2b leads` `recruitment` `hr scraper` `linkedin voyager api` `no login` `no browser` `contact info` `work experience` `education` `skills` `certifications` `followers` `connections` # Actor input Schema ## `profileUrls` (type: `array`): One URL per line. Accepted formats: https://www.linkedin.com/in// or just the identifier. ## `fetchContactInfo` (type: `boolean`): Fetch email, phone, websites and Twitter handle from the /profileContactInfo endpoint. ## `fetchNetworkInfo` (type: `boolean`): Fetch connections count, followers count and connection degree. ## Actor input object example ```json { "profileUrls": [ "https://www.linkedin.com/in/williamhgates/" ], "fetchContactInfo": true, "fetchNetworkInfo": true } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing one item per scraped LinkedIn profile. # 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 = { "profileUrls": [ "https://www.linkedin.com/in/williamhgates/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("leadsbrary/linkedin-profile-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 = { "profileUrls": ["https://www.linkedin.com/in/williamhgates/"] } # Run the Actor and wait for it to finish run = client.actor("leadsbrary/linkedin-profile-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 '{ "profileUrls": [ "https://www.linkedin.com/in/williamhgates/" ] }' | apify call leadsbrary/linkedin-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=leadsbrary/linkedin-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Linkedin Profile Scraper + Mail (No Cookies)", "description": "No cookies, no login, no browser required. Extract full LinkedIn profile data in seconds — experience, education, skills, contact info, connections & more. Paste URLs and get structured JSON instantly.", "version": "1.0", "x-build-id": "Pax3tTCwfI8v13bo2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/leadsbrary~linkedin-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-leadsbrary-linkedin-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/leadsbrary~linkedin-profile-scraper/runs": { "post": { "operationId": "runs-sync-leadsbrary-linkedin-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/leadsbrary~linkedin-profile-scraper/run-sync": { "post": { "operationId": "run-sync-leadsbrary-linkedin-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "profileUrls" ], "properties": { "profileUrls": { "title": "LinkedIn Profile URLs", "type": "array", "description": "One URL per line. Accepted formats: https://www.linkedin.com/in// or just the identifier.", "items": { "type": "string" } }, "fetchContactInfo": { "title": "Fetch Contact Info", "type": "boolean", "description": "Fetch email, phone, websites and Twitter handle from the /profileContactInfo endpoint.", "default": true }, "fetchNetworkInfo": { "title": "Fetch Network Info", "type": "boolean", "description": "Fetch connections count, followers count and connection degree.", "default": true } } }, "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 } } } } } } } } } } ```