# LinkedIn Jobs Scraper (`sheshinmcfly/linkedin-jobs-scraper`) Actor Scrape public job listings from LinkedIn by keyword and location. Returns job title, company, seniority level, employment type, industries, and full description. No login required. - **URL**: https://apify.com/sheshinmcfly/linkedin-jobs-scraper.md - **Developed by:** [Sheshinmcfly](https://apify.com/sheshinmcfly) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 Jobs Scraper Extract public job listings from [LinkedIn](https://www.linkedin.com/jobs/) — the world's largest professional network with millions of job postings. Returns job title, company, location, seniority level, employment type, job function, industries, and full description. No login required. --- ### What data do you get? | Field | Type | Example | |-------|------|---------| | `jobId` | string | `"4296369615"` | | `title` | string | `"Software Engineer, Backend"` | | `company` | string | `"DoorDash"` | | `companyUrl` | string | `"https://www.linkedin.com/company/doordash"` | | `location` | string | `"London, England, United Kingdom"` | | `postedAt` | string | `"2 weeks ago"` | | `seniorityLevel` | string | `"Mid-Senior level"` | | `employmentType` | string | `"Full-time"` | | `jobFunction` | string | `"Engineering and Information Technology"` | | `industries` | string | `"Technology, Information and Internet"` | | `description` | string | `"We are looking for a Backend Engineer..."` | | `url` | string | `"https://www.linkedin.com/jobs/view/4296369615/"` | | `checkedAt` | string | `"2026-04-24T12:00:00.000Z"` | --- ### How to use 1. Open the actor and click **Try for free** 2. Enter **Keywords** — job title, skills, or company name (e.g. `software engineer`, `data analyst`) 3. Enter **Location** — city, region, or country (e.g. `London`, `New York`, `Remote`) 4. Set **Max jobs** — number of listings to scrape (default: 50) 5. Click **Start** — results ready in seconds 6. Download as **JSON** or **CSV** from the dataset tab --- ### Use cases - **Recruitment & talent sourcing** — Find candidates and benchmark roles across companies - **Job market analysis** — Track hiring trends by skill, location, and seniority - **Salary research** — Compare roles and employment types across industries - **Competitive intelligence** — Monitor competitor hiring patterns - **Career planning** — Research in-demand skills and companies in your field - **HR analytics** — Build datasets for workforce and labor market research --- ### Input parameters ```json { "keywords": "software engineer", "location": "London", "maxJobs": 50 } ```` | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `keywords` | string | required | Job title, skills, or company to search for | | `location` | string | required | City, region, or country | | `maxJobs` | integer | `50` | Maximum number of jobs to scrape (max 500) | *** ### Sample output ```json { "jobId": "4296369615", "title": "Software Engineer, Backend", "company": "DoorDash", "companyUrl": "https://www.linkedin.com/company/doordash", "location": "London, England, United Kingdom", "postedAt": "2 weeks ago", "seniorityLevel": "Mid-Senior level", "employmentType": "Full-time", "jobFunction": "Engineering and Information Technology", "industries": "Technology, Information and Internet", "description": "About the Team...", "url": "https://www.linkedin.com/jobs/view/4296369615/", "checkedAt": "2026-04-24T12:00:00.000Z" } ``` *** ### Performance - Uses LinkedIn's public guest API for job listings — no login required - Each listing page: ~1–2 seconds - Each job detail page: ~1–2 seconds - 50 jobs: ~2–3 minutes total *** ### Pricing This actor charges **$0.002 per job scraped**. | Jobs | Estimated cost | |------|---------------| | 50 | ~$0.10 | | 250 | ~$0.50 | | 1,000 | ~$2.00 | The Apify free plan includes $5 monthly credit — enough for 2,500 job records per month. *** ### Legal disclaimer This actor extracts **publicly available data** from LinkedIn job listings. All data is accessible without login or registration via LinkedIn's public job search. Users are responsible for ensuring their use of the extracted data complies with applicable laws and LinkedIn's terms of service. # Actor input Schema ## `keywords` (type: `string`): Job title, skills, or company to search for. Example: 'software engineer', 'data analyst', 'React developer'. ## `location` (type: `string`): City, region, or country to search in. Example: 'London', 'New York', 'Remote'. ## `maxJobs` (type: `integer`): Maximum number of job listings to scrape. Each job requires one additional page request for full details. ## `proxyConfiguration` (type: `object`): Datacenter proxies are free and work for most sites. Switch to Residential if you get blocked. ## Actor input object example ```json { "keywords": "software engineer", "location": "London", "maxJobs": 50, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `dataset` (type: `string`): All scraped results stored in the default dataset. # 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 = { "keywords": "software engineer", "location": "London", "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("sheshinmcfly/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 = { "keywords": "software engineer", "location": "London", "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("sheshinmcfly/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 '{ "keywords": "software engineer", "location": "London", "proxyConfiguration": { "useApifyProxy": true } }' | apify call sheshinmcfly/linkedin-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sheshinmcfly/linkedin-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Jobs Scraper", "description": "Scrape public job listings from LinkedIn by keyword and location. Returns job title, company, seniority level, employment type, industries, and full description. No login required.", "version": "0.1", "x-build-id": "qxiiqEOjLXq4ydOfL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sheshinmcfly~linkedin-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sheshinmcfly-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/sheshinmcfly~linkedin-jobs-scraper/runs": { "post": { "operationId": "runs-sync-sheshinmcfly-linkedin-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/sheshinmcfly~linkedin-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-sheshinmcfly-linkedin-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "keywords", "location" ], "properties": { "keywords": { "title": "Keywords", "type": "string", "description": "Job title, skills, or company to search for. Example: 'software engineer', 'data analyst', 'React developer'." }, "location": { "title": "Location", "type": "string", "description": "City, region, or country to search in. Example: 'London', 'New York', 'Remote'." }, "maxJobs": { "title": "Max jobs", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of job listings to scrape. Each job requires one additional page request for full details.", "default": 50 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Datacenter proxies are free and work for most sites. Switch to Residential if you get blocked." } } }, "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 } } } } } } } } } } ```