# LinkedIn Profile Scraper (`seemuapps/linkedin-profile-scraper`) Actor Scrape public LinkedIn people profiles by URL. Extract work history, education, skills, contact links, and activity feed for any profile. - **URL**: https://apify.com/seemuapps/linkedin-profile-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Social media, Lead generation, Jobs - **Stats:** 5 total users, 3 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $7.00 / 1,000 results 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 Extract public LinkedIn people profile data by URL — work history, education, skills, followers, activity feed, and contact links. No login required. ### What you get - **Full name, headline, location, and bio** — name, city, country, current job title, and about summary - **Current company** — company name, LinkedIn URL, and office location - **Work history** — every role with job title, company, location, start/end dates, and description - **Education** — schools attended with degree, field of study, and dates - **Languages** — language name and proficiency level - **Certifications** — name, issuing organization, issue date, and credential ID - **Followers and connections count** - **Recent activity feed** — latest posts, shares, comments, and reactions with titles and links - **Bio links** — personal website, portfolio, or other external links the person has pinned to their profile - **Recommendations count** - **Avatar and banner image URLs** ### Use cases - **Lead generation** — enrich a prospect list with current title, company, and contact details - **Talent sourcing** — screen candidates by work history and skills before reaching out - **Competitor intelligence** — monitor the career moves of key people at competing companies - **Influencer vetting** — verify follower counts and content activity before a partnership - **Sales research** — understand a prospect's role, background, and recent interests before a call - **People data enrichment** — append LinkedIn profile data to CRM records using profile URLs ### How to use 1. Paste one or more LinkedIn people profile URLs into the **LinkedIn Profile URLs** field (e.g. `https://www.linkedin.com/in/username`) — up to 20 per run 2. Run the actor — results appear in the **Dataset** tab 3. Export to JSON, CSV, or push directly to Google Sheets or your storage ### Input | Field | Type | Required | Description | |---|---|---|---| | `profileURLs` | `string[]` | ✅ | LinkedIn people profile URLs to scrape — maximum 20 per run | #### Example input ```json { "profileURLs": [ "https://www.linkedin.com/in/elad-moshe-05a90413/", "https://www.linkedin.com/in/aviv-tal-75b81/" ] } ```` ### Output One dataset record per LinkedIn profile URL: ```json { "linkedinId": "aviv-tal-75b81", "linkedinNumId": "168695", "url": "https://www.linkedin.com/in/aviv-tal-75b81", "name": "Aviv Tal", "firstName": "Aviv", "lastName": "Tal", "city": "Israel", "countryCode": "IL", "headline": "VP Product at Bright Data", "about": "I'm a tech executive with a strong background in product, strategy, and business…", "avatar": "https://media.licdn.com/dms/image/...", "bannerImage": "https://media.licdn.com/dms/image/...", "followers": 1092, "connections": 500, "isInfluencer": false, "currentCompany": { "id": "bright-data", "name": "Bright Data", "url": "https://il.linkedin.com/company/bright-data", "location": "" }, "experience": [ { "title": "VP Product", "company": "Bright Data", "companyId": "bright-data", "companyLogoUrl": "https://...", "location": "Tel Aviv, Israel", "startDate": "Jan 2021", "endDate": "Present", "descriptionHtml": "", "url": "https://il.linkedin.com/company/bright-data" } ], "education": [ { "school": "TEL-AVIV UNIVERSITY", "schoolId": "tel-aviv-university", "schoolLogoUrl": "", "degree": "", "fieldOfStudy": "", "startDate": "2002-10", "endDate": "2004-12", "url": "https://il.linkedin.com/school/tel-aviv-university/" } ], "languages": [ { "name": "English", "proficiency": "Full professional proficiency" }, { "name": "Hebrew", "proficiency": "Native or bilingual proficiency" } ], "certifications": [], "recentActivity": [ { "id": "7394415665358602240", "title": "Post or article title text…", "link": "https://www.linkedin.com/posts/...", "imageUrl": "https://media.licdn.com/dms/image/...", "interaction": "Aviv Tal shared this" } ], "bioLinks": [], "recommendationsCount": 2 } ``` #### Output fields | Field | Type | Description | |---|---|---| | `linkedinId` | `string` | LinkedIn profile slug (from the URL) | | `linkedinNumId` | `string` | LinkedIn internal numeric profile ID | | `url` | `string` | Canonical LinkedIn profile URL | | `name` | `string` | Full name | | `firstName` | `string` | First name | | `lastName` | `string` | Last name | | `city` | `string` | City or region shown on the profile | | `countryCode` | `string` | ISO 3166-1 alpha-2 country code | | `headline` | `string` | Current job title / headline | | `about` | `string` | Bio / about section text | | `avatar` | `string` | Profile photo URL | | `bannerImage` | `string` | Profile banner image URL | | `followers` | `number` | LinkedIn follower count | | `connections` | `number` | Connection count (capped at 500 by LinkedIn) | | `isInfluencer` | `boolean` | Whether LinkedIn has granted the person Influencer status | | `currentCompany.id` | `string` | LinkedIn company slug | | `currentCompany.name` | `string` | Company display name | | `currentCompany.url` | `string` | LinkedIn company page URL | | `currentCompany.location` | `string` | Office location for the role | | `experience` | `array` | Full work history — see sub-fields below | | `experience[].title` | `string` | Job title | | `experience[].company` | `string` | Company name | | `experience[].companyId` | `string` | LinkedIn company slug | | `experience[].companyLogoUrl` | `string` | Company logo image URL | | `experience[].location` | `string` | Role location | | `experience[].startDate` | `string` | Start date (e.g. `"Jan 2021"`) | | `experience[].endDate` | `string` | End date or `"Present"` | | `experience[].descriptionHtml` | `string` | Role description HTML | | `experience[].url` | `string` | Company LinkedIn page URL | | `education` | `array` | Education history — see sub-fields below | | `education[].school` | `string` | School or university name | | `education[].schoolId` | `string` | LinkedIn school slug | | `education[].schoolLogoUrl` | `string` | School logo URL | | `education[].degree` | `string` | Degree type (e.g. `"Bachelor of Science"`) | | `education[].fieldOfStudy` | `string` | Major or field of study | | `education[].startDate` | `string` | Start year/month | | `education[].endDate` | `string` | End year/month | | `education[].url` | `string` | LinkedIn school page URL | | `languages` | `array` | Languages listed on the profile | | `languages[].name` | `string` | Language name | | `languages[].proficiency` | `string` | Proficiency level (e.g. `"Full professional proficiency"`) | | `certifications` | `array` | Professional certifications | | `certifications[].name` | `string` | Certification name | | `certifications[].issuingOrganization` | `string` | Issuing body | | `certifications[].issueDate` | `string` | Date issued | | `certifications[].credentialId` | `string` | Credential ID | | `certifications[].url` | `string` | Verification URL | | `recentActivity` | `array` | Recent posts, shares, and reactions | | `recentActivity[].id` | `string` | Activity ID | | `recentActivity[].title` | `string` | Post title or preview text | | `recentActivity[].link` | `string` | URL to the LinkedIn post | | `recentActivity[].imageUrl` | `string` | Preview image URL | | `recentActivity[].interaction` | `string` | How the person interacted (e.g. `"shared this"`, `"commented"`) | | `bioLinks` | `array` | External links pinned to the profile | | `bioLinks[].title` | `string` | Link label (e.g. `"Company Website"`, `"I'm hiring!"`) | | `bioLinks[].url` | `string` | The external URL | | `recommendationsCount` | `number` | Number of recommendations received | ### Notes - Only **public** LinkedIn profiles are supported — private profiles will be skipped with an error logged - `connections` is capped at `500` by LinkedIn for any profile with 500+ connections - `experience` and `education` availability varies by profile — some users leave these sections empty - The `about` field may be truncated if LinkedIn shows only a preview on the public page # Actor input Schema ## `profileURLs` (type: `array`): One or more LinkedIn people profile URLs to scrape (e.g. https://www.linkedin.com/in/username). Maximum 20 per run. ## Actor input object example ```json { "profileURLs": [ "https://www.linkedin.com/in/elad-moshe-05a90413/", "https://www.linkedin.com/in/aviv-tal-75b81/" ] } ``` # Actor output Schema ## `results` (type: `string`): Each record contains: linkedinId, linkedinNumId, url, name, firstName, lastName, city, countryCode, headline, about, avatar, bannerImage, followers, connections, isInfluencer, currentCompany, experience, education, languages, certifications, recentActivity, bioLinks, recommendationsCount. # 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/elad-moshe-05a90413/", "https://www.linkedin.com/in/aviv-tal-75b81/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/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/elad-moshe-05a90413/", "https://www.linkedin.com/in/aviv-tal-75b81/", ] } # Run the Actor and wait for it to finish run = client.actor("seemuapps/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/elad-moshe-05a90413/", "https://www.linkedin.com/in/aviv-tal-75b81/" ] }' | apify call seemuapps/linkedin-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/linkedin-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile Scraper", "description": "Scrape public LinkedIn people profiles by URL. Extract work history, education, skills, contact links, and activity feed for any profile.", "version": "1.0", "x-build-id": "TKiMhAs451w12m5Sd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~linkedin-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~linkedin-profile-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-linkedin-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~linkedin-profile-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-linkedin-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 or more LinkedIn people profile URLs to scrape (e.g. https://www.linkedin.com/in/username). Maximum 20 per run.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```