# Linkedin Jobs Scraper (`leadsbrary/linkedin-jobs-scraper`) Actor From $0.30/1000 results. Cheapest LinkedIn Jobs scraper. Extract title, company, location, contract type, seniority, job function, industries, description & company URL. No login, no proxy. - **URL**: https://apify.com/leadsbrary/linkedin-jobs-scraper.md - **Developed by:** [Alexandre Manguis](https://apify.com/leadsbrary) (community) - **Categories:** Jobs, Automation, Lead generation - **Stats:** 5 total users, 3 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.30 / 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 Jobs Scraper Scrape [LinkedIn job listings](https://www.linkedin.com/jobs/) by keyword, location and filters — no login, no browser, no proxy required. Returns structured job data ready to export as JSON, CSV or Excel. ### ✨ What you get - **Job details** — title, company name, location, posting date - **Contract & seniority** — contract type (Full-time, Part-time, Contract…) and seniority level (Entry level, Mid-Senior, Director…) - **Job function & industries** — functional area and industry sector of the role - **Full description** — complete job description text - **Company page** — direct link to the hiring company's LinkedIn page - **Company logo** — image URL for visual identification - **Direct job link** — clean LinkedIn job page URL (no tracking params) - **Salary** — when displayed by the advertiser - **Benefits** — perks listed on the job card (when available) ### 🔧 Inputs | Field | Type | Description | |---|---|---| | `startUrl` | string | Paste any LinkedIn job search URL to use directly. All other filters are ignored if this is provided. | | `keywords` | string | Job keywords (e.g. `French`, `Software Engineer`, `Marketing`) | | `location` | string | City, region or country (e.g. `Malaga`, `Paris`, `United States`) | | `geoId` | string | LinkedIn geo ID for precise matching — found in the URL after a search (e.g. `101124331` for Malaga) | | `distance` | select | Search radius: Exact / 5 / 10 / **25** / 50 miles | | `datePosted` | select | **Any time** / Past month / Past week / Past 24 hours | | `jobType` | multi-select | Full-time, Part-time, Contract, Temporary, Volunteer, Internship | | `experienceLevel` | multi-select | Internship, Entry level, Associate, Mid-senior level, Director, Executive | | `workType` | multi-select | On-site, Remote, Hybrid | | `maxResults` | number | Max listings to extract (default: `100`, max: `1000`) | | `fetchDetails` | boolean | Fetch each job's detail page for richer data (default: `true`). Disable for fast listing-only scrapes. | ### 📦 Output Each item in the dataset represents one job listing: ```json { "id": "4399926638", "title": "Global Program Coordinator (USRAP)", "company": "IOM - UN Migration", "companyUrl": "https://www.linkedin.com/company/iom", "location": "Washington, United States", "postedAt": "2026-04-15", "contractType": "Full-time", "seniorityLevel": "Director", "jobFunction": "Management, Project Management, and Administrative", "industries": "International Affairs, Community Development and Urban Planning", "description": "The International Organization for Migration (IOM) is looking for a Global Program Coordinator...", "salary": null, "benefits": null, "url": "https://www.linkedin.com/jobs/view/global-program-coordinator-usrap-at-iom-un-migration-4399926638", "logo": "https://media.licdn.com/dms/image/v2/..." } ```` #### Output fields reference | Field | Description | |---|---| | `id` | LinkedIn job posting ID | | `title` | Job title | | `company` | Company name | | `companyUrl` | Company's LinkedIn page URL | | `location` | Job location (city, region, country) | | `postedAt` | Posting date (ISO format when available) | | `contractType` | Employment type: Full-time, Part-time, Contract, etc. | | `seniorityLevel` | Seniority: Entry level, Mid-Senior level, Director, Executive… | | `jobFunction` | Functional area: Engineering, Sales, Marketing… | | `industries` | Industry sector(s) of the company | | `description` | Full job description text | | `salary` | Salary range when disclosed by the recruiter | | `benefits` | Perks or benefits listed on the card | | `url` | Direct link to the LinkedIn job page | | `logo` | Company logo image URL | ### 🚀 Usage examples **Search by keyword + location:** ``` keywords: French location: Malaga geoId: 101124331 distance: 25 datePosted: Past week maxResults: 50 ``` **Use a direct LinkedIn URL:** ``` startUrl: https://www.linkedin.com/jobs/search?keywords=developer&location=Paris&f_WT=2 ``` **Fast listing-only scrape (no detail pages):** ``` keywords: Product Manager location: London maxResults: 200 fetchDetails: false ``` ### Keywords linkedin, linkedin jobs, job listings, job search, job scraper, recruitment, hiring, employment, career, job board, full-time, remote jobs, internship, entry level, lead generation # Actor input Schema ## `startUrl` (type: `string`): Paste a LinkedIn job search URL directly. If provided, all other filters below are ignored. ## `keywords` (type: `string`): Job keywords to search for (e.g. 'French', 'Software Engineer', 'Marketing'). ## `location` (type: `string`): City, region or country (e.g. 'Malaga', 'Paris', 'United States'). ## `geoId` (type: `string`): LinkedIn geographic ID for precise location matching. Found in the URL when you search on LinkedIn (e.g. 101124331 for Malaga, 105015875 for Paris). ## `distance` (type: `string`): Search radius in miles from the location center. ## `datePosted` (type: `string`): Filter jobs by when they were posted. ## `jobType` (type: `array`): Filter by employment type. Leave empty for all types. ## `experienceLevel` (type: `array`): Filter by required experience level. Leave empty for all levels. ## `workType` (type: `array`): Filter by work location type. Leave empty for all. ## `maxResults` (type: `integer`): Maximum number of job listings to extract (1–1000). ## `fetchDetails` (type: `boolean`): Fetch each job's detail page to extract description, contract type, seniority level, job function, industries and company URL. Slower but much richer data. Disable for fast listing-only scrapes. ## Actor input object example ```json { "distance": "25", "datePosted": "any", "maxResults": 100, "fetchDetails": true } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing all scraped LinkedIn job listings (title, company, location, date, salary, link…). # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("leadsbrary/linkedin-jobs-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 = {} # Run the Actor and wait for it to finish run = client.actor("leadsbrary/linkedin-jobs-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 '{}' | apify call leadsbrary/linkedin-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=leadsbrary/linkedin-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Linkedin Jobs Scraper", "description": "From $0.30/1000 results. Cheapest LinkedIn Jobs scraper. Extract title, company, location, contract type, seniority, job function, industries, description & company URL. No login, no proxy.", "version": "1.0", "x-build-id": "taukzNw85rVFdP8r2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/leadsbrary~linkedin-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-leadsbrary-linkedin-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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-jobs-scraper/runs": { "post": { "operationId": "runs-sync-leadsbrary-linkedin-jobs-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-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-leadsbrary-linkedin-jobs-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": { "startUrl": { "title": "Start URL (optional)", "type": "string", "description": "Paste a LinkedIn job search URL directly. If provided, all other filters below are ignored." }, "keywords": { "title": "Keywords", "type": "string", "description": "Job keywords to search for (e.g. 'French', 'Software Engineer', 'Marketing')." }, "location": { "title": "Location", "type": "string", "description": "City, region or country (e.g. 'Malaga', 'Paris', 'United States')." }, "geoId": { "title": "Geo ID (optional)", "type": "string", "description": "LinkedIn geographic ID for precise location matching. Found in the URL when you search on LinkedIn (e.g. 101124331 for Malaga, 105015875 for Paris)." }, "distance": { "title": "Distance", "enum": [ "0", "5", "10", "25", "50" ], "type": "string", "description": "Search radius in miles from the location center.", "default": "25" }, "datePosted": { "title": "Date posted", "enum": [ "any", "r2592000", "r604800", "r86400" ], "type": "string", "description": "Filter jobs by when they were posted.", "default": "any" }, "jobType": { "title": "Job type", "type": "array", "description": "Filter by employment type. Leave empty for all types.", "items": { "type": "string", "enum": [ "F", "P", "C", "T", "V", "I" ], "enumTitles": [ "Full-time", "Part-time", "Contract", "Temporary", "Volunteer", "Internship" ] } }, "experienceLevel": { "title": "Experience level", "type": "array", "description": "Filter by required experience level. Leave empty for all levels.", "items": { "type": "string", "enum": [ "1", "2", "3", "4", "5", "6" ], "enumTitles": [ "Internship", "Entry level", "Associate", "Mid-senior level", "Director", "Executive" ] } }, "workType": { "title": "Work arrangement", "type": "array", "description": "Filter by work location type. Leave empty for all.", "items": { "type": "string", "enum": [ "1", "2", "3" ], "enumTitles": [ "On-site", "Remote", "Hybrid" ] } }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of job listings to extract (1–1000).", "default": 100 }, "fetchDetails": { "title": "Fetch job details", "type": "boolean", "description": "Fetch each job's detail page to extract description, contract type, seniority level, job function, industries and company URL. Slower but much richer data. Disable for fast listing-only scrapes.", "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 } } } } } } } } } } ```