# LinkedIn Scraper — Public Profiles, Jobs & Companies (`smrtai-ops/linkedin-public-scraper`) Actor Extract high-quality LinkedIn profiles, jobs, and companies seamlessly without logging in, $4/1K Results. - **URL**: https://apify.com/smrtai-ops/linkedin-public-scraper.md - **Developed by:** [Smrt AI](https://apify.com/smrtai-ops) (community) - **Categories:** Lead generation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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 Scraper — Public Profiles, Posts, Jobs & Companies 🚀 Extract high-quality LinkedIn data **without needing a LinkedIn account**. This scraper bypasses strict login walls by leveraging public Google indexes and residential proxies to deliver clean, structured data at lightning speed. ### 🌟 Why use this scraper? Unlike other LinkedIn scrapers that require you to risk your personal LinkedIn accounts or burn through expensive cookies, this Actor relies entirely on public-facing data. - **Zero Risk**: No LinkedIn login required. You will never get your account banned. - **Cost-Effective**: Highly optimized architecture fetches data in batches. Pay only for what you extract. - **Lightning Fast**: Concurrent asynchronous requests allow for extracting thousands of records in minutes. - **Clean Data**: Returns beautifully structured JSONs directly from hidden `JSON-LD` schemas, ensuring accurate metadata, full post texts, and precise engagement metrics. ### 🎯 What can you extract? This all-in-one tool supports multiple target types: 1. **Profiles (`profile`)**: Extract user biographies, work experiences, education, and skills. 2. **Companies (`company`)**: Extract company descriptions, employee counts, and follower metrics. 3. **Jobs (`search_jobs`)**: Quickly pull lists of available job postings for specific roles, including title, company name, location, and the direct application link. 4. **People Search (`search_people`)**: Discover professionals by keyword or industry without spending hours clicking through pages. ### 💡 Use Cases - **Lead Generation**: Build massive lists of professionals and companies in your target niche. - **Recruitment / HR**: Monitor available talent or scrape competing job offers to adjust your hiring strategy. - **Market Research**: Analyze trends, job market demand, and company footprints completely anonymously. ### ⚙️ Input Configuration The scraper supports various modes depending on the `target_type` selected. #### 1. Profiles & Companies To scrape specific profiles or companies, you can input a single username/URL or a **comma-separated list** of them to batch-process them in a single run. - **Target**: `williamhgates, satyanadella` - **Target Type**: `profile` (or `company`) - **Limit**: *(Ignored in this mode)* #### 2. Search People To find profiles based on a keyword. - **Target**: `machine learning engineer` - **Target Type**: `search_people` - **Limit**: `10` (or any number up to 500. Determines how many profiles to extract). #### 3. Search Jobs To scrape available job listings for a specific role. - **Target**: `full stack` - **Target Type**: `search_jobs` - **Limit**: `30` - **Job Search Filters**: You can use the dedicated UI fields for Location, Date Posted, Remote/Hybrid/On-site, and Experience Level to fine-tune your job search. | Field | Type | Description | | :--- | :--- | :--- | | `proxy` | Object | (Highly Recommended) Use Apify Residential Proxies for maximum success rate. | ### 📊 Example Output (Profile) ```json { "_type": "profile_info", "data": { "urn": "https://www.linkedin.com/in/williamhgates", "name": "Bill Gates", "headline": "Co-chair, Bill & Melinda Gates Foundation", "experiences": [...], "educations": [...], "skills": ["Philanthropy", "Software Development"] } } ```` ### ⚠️ Important Notes - **Proxies are essential**: LinkedIn heavily restricts requests from datacenter IPs. Please ensure you enable Apify Residential Proxies in your configuration for reliable results. - **Public Data Only**: This scraper cannot access private profiles, connections, or data hidden behind strict privacy settings. If a user hides their posts from search engines, they cannot be scraped. # Actor input Schema ## `target` (type: `string`): For Profile and Company: A comma-separated list of usernames/slugs (e.g. 'williamhgates, satyanadella'). For Search Jobs and People: A search keyword (e.g. 'Software Engineer'). ## `target_type` (type: `string`): Select the mode you want to run. ## `limit` (type: `integer`): Maximum number of results to return (per search keyword). Ignored for direct Profile/Company URLs. ## `job_location` (type: `string`): Location to search jobs in (e.g. 'United States'). ## `job_date_posted` (type: `string`): Filter by date: 'past\_24\_hours', 'past\_week', 'past\_month', or leave empty for anytime. ## `job_remote` (type: `array`): Select the workplace types you want to include (e.g. 'remote', 'hybrid', 'onsite'). ## `job_experience` (type: `array`): Select experience levels you want to include. ## `proxy` (type: `object`): Highly recommended to use Apify Residential Proxies. ## Actor input object example ```json { "target": "williamhgates, satyanadella", "target_type": "profile", "limit": 10, "job_location": "", "job_date_posted": "", "job_remote": [ "remote", "hybrid", "onsite" ], "job_experience": [ "senior", "mid_senior", "entry_level" ], "proxy": { "useApifyProxy": true } } ``` # 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 = { "target": "williamhgates, satyanadella" }; // Run the Actor and wait for it to finish const run = await client.actor("smrtai-ops/linkedin-public-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 = { "target": "williamhgates, satyanadella" } # Run the Actor and wait for it to finish run = client.actor("smrtai-ops/linkedin-public-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 '{ "target": "williamhgates, satyanadella" }' | apify call smrtai-ops/linkedin-public-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=smrtai-ops/linkedin-public-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Scraper — Public Profiles, Jobs & Companies", "description": "Extract high-quality LinkedIn profiles, jobs, and companies seamlessly without logging in, $4/1K Results.", "version": "1.0", "x-build-id": "RCvCun6gNKNSPNrKm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/smrtai-ops~linkedin-public-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-smrtai-ops-linkedin-public-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/smrtai-ops~linkedin-public-scraper/runs": { "post": { "operationId": "runs-sync-smrtai-ops-linkedin-public-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/smrtai-ops~linkedin-public-scraper/run-sync": { "post": { "operationId": "run-sync-smrtai-ops-linkedin-public-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": [ "target" ], "properties": { "target": { "title": "Target(s) / Keyword", "type": "string", "description": "For Profile and Company: A comma-separated list of usernames/slugs (e.g. 'williamhgates, satyanadella'). For Search Jobs and People: A search keyword (e.g. 'Software Engineer')." }, "target_type": { "title": "Target Type", "enum": [ "profile", "company", "search_jobs", "search_people" ], "type": "string", "description": "Select the mode you want to run.", "default": "profile" }, "limit": { "title": "Result Limit", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of results to return (per search keyword). Ignored for direct Profile/Company URLs.", "default": 10 }, "job_location": { "title": "Location (Jobs Only)", "type": "string", "description": "Location to search jobs in (e.g. 'United States').", "default": "" }, "job_date_posted": { "title": "Date Posted (Jobs Only)", "enum": [ "", "past_24_hours", "past_week", "past_month" ], "type": "string", "description": "Filter by date: 'past_24_hours', 'past_week', 'past_month', or leave empty for anytime.", "default": "" }, "job_remote": { "title": "Remote / Hybrid / On-site (Jobs Only)", "type": "array", "description": "Select the workplace types you want to include (e.g. 'remote', 'hybrid', 'onsite').", "default": [ "remote", "hybrid", "onsite" ], "items": { "type": "string" } }, "job_experience": { "title": "Experience Level (Jobs Only)", "type": "array", "description": "Select experience levels you want to include.", "default": [ "senior", "mid_senior", "entry_level" ], "items": { "type": "string" } }, "proxy": { "title": "Proxy Configuration", "type": "object", "description": "Highly recommended to use Apify Residential Proxies.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```