# LinkedIn Profile API | Scrape Public Profile Data (`johnvc/linkedin-profile-api`) Actor Collect public LinkedIn person profiles as clean, structured JSON. Send one or many profile URLs and get name, headline, location, current company, experience, education, and follower counts. Reliable, pay per profile, MCP-ready for Claude and AI agents. - **URL**: https://apify.com/johnvc/linkedin-profile-api.md - **Developed by:** [John](https://apify.com/johnvc) (community) - **Categories:** Lead generation, Developer tools, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 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 API | Scrape Public Profile Data Collect public [LinkedIn](https://www.linkedin.com) person profiles as clean, structured JSON. Use this actor with Claude, Cursor, or any MCP-compatible AI agent to scrape name, headline, location, current company, experience, education, and follower counts for any public profile, on reliable infrastructure and billed per profile. Send one or many profile URLs and get one row per profile, collected in parallel. Built API-first and MCP-ready so AI agents can call it as a tool. --- ### 📋 What this API returns | Field | Description | |---|---| | `name`, `firstName`, `lastName` | The person's name. | | `headline` | The profile headline / current position line. | | `about` | The About / summary section. | | `location`, `countryCode` | Where the person is based. | | `currentCompany`, `currentTitle` | Current company and job title. | | `experience` | Work history entries (title, company, dates, location). | | `pastCompanies` | Distinct company names from the experience history. | | `education` | Education entries (school, degree, field, dates). | | `honorsAndAwards` | Honors and awards listed on the profile. | | `followers`, `connections` | Audience size. | | `avatar` | Profile photo URL. | | `publicUrl`, `linkedinId` | The public profile URL and handle. | | `email` | Always null (email is not available from this source). | | `summary` | A plain-language one-line interpretation of the profile. | --- ### 🎯 Use cases - **Sales prospecting.** Enrich a list of prospect profile URLs with role, company, and seniority. - **Recruiting.** Pull candidate headlines, experience, and education for sourcing and screening. - **Lead enrichment.** Append firmographic and role data to CRM records from a profile URL. - **Account-based marketing.** Map decision-makers at target accounts by title and tenure. - **Talent-market research.** Analyze roles, career moves, and education across a cohort of profiles. - **AI agent workflows.** Drive this API over MCP from Claude to look up and summarize profiles in-conversation. --- ### ⚙️ Input examples #### One profile ```json { "profileUrls": ["https://www.linkedin.com/in/satyanadella"] } ```` #### Several profiles at once (collected in parallel) ```json { "profileUrls": [ "https://www.linkedin.com/in/satyanadella", "https://www.linkedin.com/in/williamhgates" ] } ``` URLs that are not LinkedIn `/in/` profile URLs are skipped with a warning. The API returns one row per profile. *** ### 📤 Example output Each profile is returned as one JSON row: ```json { "result_type": "profile", "name": "Satya Nadella", "headline": "Chairman and CEO at Microsoft", "currentCompany": "Microsoft", "currentTitle": "Chairman and CEO", "location": "Redmond, Washington, United States", "countryCode": "US", "followers": 12056751, "connections": 500, "pastCompanies": ["Microsoft", "University of Chicago", "Starbucks"], "education": [{ "title": "The University of Chicago Booth School of Business" }], "email": null, "publicUrl": "https://www.linkedin.com/in/satyanadella", "summary": "Chairman and CEO at Microsoft, based in Redmond, Washington, United States, 12,056,751 followers" } ``` The `email` field is always `null`; email is not available from this source. *** ### 💰 Pricing (pay-per-event) You pay per profile returned. There is no per-run setup fee. The current per-event price is shown on the Store card and in the Actor's Monetization details. Because billing is per profile, you only pay for the profiles actually delivered. *** ### 🔌 Use this API from Claude (MCP) This Actor is MCP-server-compatible, so [Claude Code](https://claude.ai/referral/uIlpa7nPLg) (free trial), Claude (desktop and web), Cursor, and other MCP clients can call it as a tool through Apify's hosted MCP server. Add it with this Actor-specific URL: `https://mcp.apify.com/?tools=actors,docs,johnvc/linkedin-profile-api` Apify MCP integration docs: https://docs.apify.com/platform/integrations/mcp Setup walkthrough: https://www.youtube.com/watch?v=jREWahDGhJM **New to Claude Code or Claude Cowork?** Start a [free trial](https://claude.ai/referral/uIlpa7nPLg). Then ask Claude: > *"Use the LinkedIn Profile API to look up the CEO of Microsoft and summarize their background."* *** ### 🚀 How to get started 1. Open the Actor and paste one or more LinkedIn profile URLs into `profileUrls`. 2. Run it and read the results from the dataset (JSON, CSV, Excel, or API). [View on Apify Store](https://apify.com/johnvc/linkedin-profile-api?fpr=9n7kx3) *** ### ❓ FAQ #### What URL should I provide? A public LinkedIn personal profile URL, for example `https://www.linkedin.com/in/satyanadella`. #### Do you return email addresses? No. The `email` field is always null; email is not available from this data source. #### Can I collect many profiles at once? Yes. Provide a list in `profileUrls`; they are collected in parallel and returned one row per profile. #### What if a profile cannot be collected? The API returns a clear error row for that URL explaining why, so a single bad URL does not fail the whole run. *** Last Updated: 2026.07.07 # Actor input Schema ## `profileUrls` (type: `array`): One or more LinkedIn personal profile URLs, e.g. https://www.linkedin.com/in/satyanadella. URLs that are not LinkedIn /in/ profile URLs are skipped. Up to 1000 per run. Need larger batches? Contact us and we can raise this limit for your account. ## Actor input object example ```json { "profileUrls": [ "https://www.linkedin.com/in/satyanadella" ] } ``` # Actor output Schema ## `allResults` (type: `string`): Every dataset item from this run: collected profiles and any error rows. ## `overview` (type: `string`): Tabular overview of every dataset item using the dataset schema's default view. Columns: type, name, headline, company, location, followers, URL, summary. ## `cards` (type: `string`): Profiles with headshot thumbnail, follower and connection counts. # 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/satyanadella" ] }; // Run the Actor and wait for it to finish const run = await client.actor("johnvc/linkedin-profile-api").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/satyanadella"] } # Run the Actor and wait for it to finish run = client.actor("johnvc/linkedin-profile-api").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/satyanadella" ] }' | apify call johnvc/linkedin-profile-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=johnvc/linkedin-profile-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile API | Scrape Public Profile Data", "description": "Collect public LinkedIn person profiles as clean, structured JSON. Send one or many profile URLs and get name, headline, location, current company, experience, education, and follower counts. Reliable, pay per profile, MCP-ready for Claude and AI agents.", "version": "0.0", "x-build-id": "Zd3vBlbfJYfwPMVsA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/johnvc~linkedin-profile-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-johnvc-linkedin-profile-api", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/johnvc~linkedin-profile-api/runs": { "post": { "operationId": "runs-sync-johnvc-linkedin-profile-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/johnvc~linkedin-profile-api/run-sync": { "post": { "operationId": "run-sync-johnvc-linkedin-profile-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Profile URLs", "maxItems": 1000, "type": "array", "description": "One or more LinkedIn personal profile URLs, e.g. https://www.linkedin.com/in/satyanadella. URLs that are not LinkedIn /in/ profile URLs are skipped. Up to 1000 per run. Need larger batches? Contact us and we can raise this limit for your account.", "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 } } } } } } } } } } ```