# LinkedIn Profile Scraper (`sourabhbgp/linkedin-profile-scraper`) Actor Extract structured data from LinkedIn profiles — name, job title, company, education, followers, recent posts, and articles. HTTP-only, no login needed. - **URL**: https://apify.com/sourabhbgp/linkedin-profile-scraper.md - **Developed by:** [Sourabh Kumar](https://apify.com/sourabhbgp) (community) - **Categories:** Social media, Lead generation - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $5.00 / 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 — Profile Data + Posts + Articles Extract rich structured data from LinkedIn public profiles without login or cookies. Get full name, headline, location, follower count, employer, education, recent articles, and recent posts — all via fast HTTP requests using structured JSON-LD data. **$2 per 1,000 profiles** — the cheapest LinkedIn profile scraper on Apify. ### 📦 What data can you extract? #### 👤 Profile | Field | Description | |-------|-------------| | name | Full display name | | username | LinkedIn username (slug) | | profileUrl | Full LinkedIn profile URL | | jobTitle | Current headline / job title | | description | About / summary section | | location | City, region, or country | | followerCount | LinkedIn follower count | | employer | Current employer name and LinkedIn URL | | education | List of schools with names and LinkedIn URLs | | profileImageUrl | Profile photo URL | | websites | External URLs listed on the profile | #### 📝 Content | Field | Description | |-------|-------------| | recentArticles | Up to ~10 most recent LinkedIn articles with headline, date, URL, like count, and image | | recentPosts | Up to ~8 most recent posts with text, date, URL, and like count | ### 🎯 Use cases - **Lead generation** — Build targeted prospect lists from LinkedIn profiles at scale - **Recruitment research** — Gather job titles, education, and experience data for candidate screening - **Influencer analysis** — Track follower counts, posting activity, and article topics for creators - **Competitor tracking** — Monitor key people at rival companies — their posts, articles, and role changes - **Sales prospecting** — Enrich contact lists with current job title, employer, and location - **Market research** — Analyze professional backgrounds and expertise patterns across an industry - **CRM enrichment** — Keep your CRM up to date with the latest public LinkedIn data ### 💰 How much does it cost? | Volume | Cost | Per Profile | |--------|------|-------------| | 100 profiles | $0.20 | $0.002 | | 1,000 profiles | $2.00 | $0.002 | | 10,000 profiles | $20.00 | $0.002 | Plus Apify platform usage (~$0.50 per 1,000 profiles for compute). ### ⚙️ Input Provide profile URLs or usernames: ```json { "profiles": [ "williamhgates", "https://www.linkedin.com/in/satyanadella/", "jeffweiner08" ], "maxResults": 0 } ```` #### Input fields | Field | Type | Default | Description | |-------|------|---------|-------------| | profiles | string\[] | — | LinkedIn profile URLs or usernames. Accepts full URLs or bare usernames. | | maxResults | integer | 0 | Maximum profiles to scrape. 0 = all provided. | ### 📄 Output example ```json { "name": "Bill Gates", "username": "williamhgates", "profileUrl": "https://www.linkedin.com/in/williamhgates", "jobTitle": "Co-chair, Bill & Melinda Gates Foundation", "description": "Sharing things I'm learning through my foundation work and other interests.", "location": "Seattle, Washington", "followerCount": 35418902, "employer": { "name": "Bill & Melinda Gates Foundation", "url": "https://www.linkedin.com/company/bill-&-melinda-gates-foundation" }, "education": [ { "name": "Harvard University", "url": "https://www.linkedin.com/school/harvard-university" } ], "profileImageUrl": "https://media.licdn.com/dms/image/...", "websites": [ "https://www.gatesnotes.com" ], "recentArticles": [ { "headline": "My annual letter: The year global health stood still", "datePublished": "2026-01-14T00:00:00.000Z", "url": "https://www.linkedin.com/pulse/annual-letter-year-global-health-stood-still-bill-gates", "likeCount": 14823, "imageUrl": "https://media.licdn.com/dms/image/..." } ], "recentPosts": [ { "text": "AI is moving faster than any technology I've seen in my lifetime...", "datePublished": "2026-04-08T18:32:00.000Z", "url": "https://www.linkedin.com/posts/williamhgates_ai-is-moving-faster-...", "likeCount": 9241 } ], "scrapedAt": "2026-04-11T10:00:00.000Z" } ``` ### 🔗 Other LinkedIn scrapers - [LinkedIn Company Scraper](https://apify.com/sourabhbgp/linkedin-company-scraper) — posts, similar companies, full address, and employee counts - [LinkedIn Jobs Scraper](https://apify.com/sourabhbgp/linkedin-jobs-scraper) — scrape job listings with salary, description, and filters - [LinkedIn Ad Library Scraper](https://apify.com/sourabhbgp/linkedin-ad-library-scraper) — search LinkedIn's Ad Library by keyword, company, or payer ### 💡 Tips and notes - **URL normalization**: Paste full LinkedIn URLs (`https://www.linkedin.com/in/username`) or just the bare username — both work. - **Public profiles only**: Only publicly visible profile data is extracted. Private or restricted profiles will be skipped. - **Content limits**: LinkedIn embeds roughly 10 articles and 8 posts per profile page in the JSON-LD data. That is all that is available without a logged-in session. - **Rate limiting**: The actor uses polite 2-second delays between requests to avoid rate limiting. - **No login required**: This actor works entirely via HTTP requests with browser headers. No cookies, credentials, or Playwright needed. - **Invalid profiles**: Unrecognized URLs or usernames are skipped with a warning — they don't crash the run. # Actor input Schema ## `profiles` (type: `array`): LinkedIn profile URLs (e.g. https://www.linkedin.com/in/williamhgates/) or just the username (e.g. williamhgates). ## `maxResults` (type: `integer`): Maximum number of profiles to scrape. Set to 0 for all provided. ## Actor input object example ```json { "profiles": [ "https://www.linkedin.com/in/williamhgates/" ], "maxResults": 0 } ``` # Actor output Schema ## `results` (type: `string`): Scraped profile data. # 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": [ "https://www.linkedin.com/in/williamhgates/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("sourabhbgp/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 = { "profiles": ["https://www.linkedin.com/in/williamhgates/"] } # Run the Actor and wait for it to finish run = client.actor("sourabhbgp/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 '{ "profiles": [ "https://www.linkedin.com/in/williamhgates/" ] }' | apify call sourabhbgp/linkedin-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sourabhbgp/linkedin-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Profile Scraper", "description": "Extract structured data from LinkedIn profiles — name, job title, company, education, followers, recent posts, and articles. HTTP-only, no login needed.", "version": "0.0", "x-build-id": "Ty1asAG9sIEBxTd0j" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sourabhbgp~linkedin-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sourabhbgp-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/sourabhbgp~linkedin-profile-scraper/runs": { "post": { "operationId": "runs-sync-sourabhbgp-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/sourabhbgp~linkedin-profile-scraper/run-sync": { "post": { "operationId": "run-sync-sourabhbgp-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", "properties": { "profiles": { "title": "Profile URLs or Usernames", "type": "array", "description": "LinkedIn profile URLs (e.g. https://www.linkedin.com/in/williamhgates/) or just the username (e.g. williamhgates).", "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Maximum number of profiles to scrape. Set to 0 for all provided.", "default": 0 } } }, "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 } } } } } } } } } } ```