# LinkedIn Jobs Scraper - No Login, No Cookies (`logiover/linkedin-jobs-scraper`) Actor Scrape LinkedIn job listings by keyword and location — no login, no cookies, no API key. Export job title, company, location, salary, posted date, full description, seniority, job type and applicant count to CSV, JSON or Excel. Thousands of jobs per search. - **URL**: https://apify.com/logiover/linkedin-jobs-scraper.md - **Developed by:** [Logiover](https://apify.com/logiover) (community) - **Categories:** Jobs, Lead generation - **Stats:** 26 total users, 10 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.50 / 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 — No Login, No Cookies, No API Key Scrape **LinkedIn job listings at scale** by keyword and location. Type a search term like you would on LinkedIn (`software engineer`, `registered nurse`, `data analyst`) and get back thousands of structured job postings — **no login, no cookies, no LinkedIn account, and zero account-ban risk.** This actor reads LinkedIn's **public "jobs-guest" pages** (the same listings LinkedIn shows to logged-out visitors), so there are no credentials to manage and nothing to get flagged. --- ### What you get for every job | Field | Example | |-------|---------| | `title` | Senior Software Engineer | | `companyName` | Stripe | | `companyUrl` | https://www.linkedin.com/company/stripe | | `companyLogo` | https://media.licdn.com/… | | `location` | San Francisco, CA | | `salary` | $180,000 – $240,000 | | `postedDate` / `postedAgo` | 2026-07-09 / "2 days ago" | | `jobUrl` / `applyUrl` | https://www.linkedin.com/jobs/view/4407498584/ | | `seniorityLevel` | Mid-Senior level | | `employmentType` | Full-time | | `jobFunction` | Engineering, Information Technology | | `industries` | Software Development | | `applicants` | 27 | | `descriptionText` / `descriptionHtml` | Full job description (plain + HTML) | Turn **"Scrape full job details"** off for a faster, lighter run that returns just the job cards (title, company, location, salary, link). --- ### Input — dead simple You only need a search term. Everything else has smart defaults. ```json { "searchTerm": "software engineer", "location": "United States", "datePosted": "pastWeek", "workplaceTypes": ["remote"], "experienceLevels": ["mid-senior"], "jobTypes": ["full-time"], "sortBy": "date", "maxItems": 500, "fetchDetails": true } ```` | Option | What it does | |--------|--------------| | **Search keywords** | Job title / skill / keyword (required). | | **Location** | City, region, or country. Leave blank for worldwide. | | **Date posted** | Any time · Past 24 hours · Past week · Past month. | | **Workplace type** | On-site · Remote · Hybrid (pick any). | | **Experience level** | Internship → Executive (pick any). | | **Job type** | Full-time · Part-time · Contract · Temporary · Internship · Volunteer. | | **Sort by** | Most relevant or most recent. | | **Max jobs** | Cap the number of results (0 = as many as LinkedIn serves, ~1000/search). | | **Scrape full job details** | On = full descriptions + criteria; Off = fast card-only mode. | *** ### Use cases - **Job boards & aggregators** — feed fresh LinkedIn listings into your own site. - **Recruiting & sourcing** — track roles at target companies and competitors. - **Market & salary research** — analyze demand, titles, and pay ranges by region. - **Sales lead-gen** — companies that are hiring are companies that are spending. Every record includes the hiring company + its LinkedIn URL. - **Job-alert automation** — schedule the actor, filter by "Past 24 hours", pipe new jobs to Slack/email/Google Sheets. *** ### How it works & how to export The actor pages through LinkedIn's public guest search endpoint, deduplicates by job ID, and (optionally) opens each posting to pull the full description and criteria. Results stream into the **Dataset**, which you can browse in the **Output** tab and export to **CSV, JSON, Excel, or via API** — or push straight to Google Sheets, Airtable, and 5000+ apps through Apify integrations. ### Tips & limits - LinkedIn's public job search serves up to **~1000 results per query**. To pull more, split by location or by narrower keywords/filters and run again. - LinkedIn rate-limits hard. **Apify Proxy is on by default.** If you hit throttling (HTTP 999) on large runs, switch the proxy group to **RESIDENTIAL**. - This actor only reads **public, logged-out** job pages. It never logs in and never touches private data. *** *Not affiliated with or endorsed by LinkedIn. Scrapes only publicly available information. Use responsibly and in line with applicable laws and terms.* # Actor input Schema ## `searchTerm` (type: `string`): Job title, skill, or keyword to search for — exactly what you'd type into LinkedIn's job search box (e.g. "software engineer", "registered nurse", "data analyst remote", "marketing manager"). ## `location` (type: `string`): City, region, or country to search in (e.g. "United States", "London", "Berlin", "Remote"). Leave blank to search worldwide. ## `datePosted` (type: `string`): Only return jobs posted within this time window. ## `workplaceTypes` (type: `array`): Filter by on-site / remote / hybrid. Leave empty for all. ## `experienceLevels` (type: `array`): Filter by seniority. Leave empty for all levels. ## `jobTypes` (type: `array`): Filter by employment type. Leave empty for all. ## `sortBy` (type: `string`): Order results by LinkedIn relevance or most recent first. ## `maxItems` (type: `integer`): Maximum number of jobs to save. LinkedIn's public search serves up to ~1000 results per query. Set to 0 to pull as many as LinkedIn returns. ## `fetchDetails` (type: `boolean`): For every job, also open its page to pull the full description, seniority level, employment type, job function, industries, and applicant count. Turn OFF for a faster, lighter run that returns just the job cards (title, company, location, salary, link). ## `proxyConfiguration` (type: `object`): LinkedIn rate-limits aggressively. Apify Proxy is enabled by default and rotates IPs automatically. If you see throttling (HTTP 999) on large runs, switch to the RESIDENTIAL group. ## Actor input object example ```json { "searchTerm": "software engineer", "location": "United States", "datePosted": "any", "workplaceTypes": [], "experienceLevels": [], "jobTypes": [], "sortBy": "relevance", "maxItems": 200, "fetchDetails": true, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `results` (type: `string`): Every job posting found for your search. Open the Dataset tab to browse, filter, and export as CSV, JSON, or Excel. # 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 = { "searchTerm": "software engineer", "location": "United States", "maxItems": 200, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("logiover/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 = { "searchTerm": "software engineer", "location": "United States", "maxItems": 200, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("logiover/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 '{ "searchTerm": "software engineer", "location": "United States", "maxItems": 200, "proxyConfiguration": { "useApifyProxy": true } }' | apify call logiover/linkedin-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=logiover/linkedin-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Jobs Scraper - No Login, No Cookies", "description": "Scrape LinkedIn job listings by keyword and location — no login, no cookies, no API key. Export job title, company, location, salary, posted date, full description, seniority, job type and applicant count to CSV, JSON or Excel. Thousands of jobs per search.", "version": "1.0", "x-build-id": "KdOxCcEydRbLV8GkT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/logiover~linkedin-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-logiover-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/logiover~linkedin-jobs-scraper/runs": { "post": { "operationId": "runs-sync-logiover-linkedin-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/logiover~linkedin-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-logiover-linkedin-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchTerm": { "title": "Search keywords", "type": "string", "description": "Job title, skill, or keyword to search for — exactly what you'd type into LinkedIn's job search box (e.g. \"software engineer\", \"registered nurse\", \"data analyst remote\", \"marketing manager\").", "default": "software engineer" }, "location": { "title": "Location", "type": "string", "description": "City, region, or country to search in (e.g. \"United States\", \"London\", \"Berlin\", \"Remote\"). Leave blank to search worldwide.", "default": "United States" }, "datePosted": { "title": "Date posted", "enum": [ "any", "past24h", "pastWeek", "pastMonth" ], "type": "string", "description": "Only return jobs posted within this time window.", "default": "any" }, "workplaceTypes": { "title": "Workplace type", "type": "array", "description": "Filter by on-site / remote / hybrid. Leave empty for all.", "items": { "type": "string", "enum": [ "on-site", "remote", "hybrid" ], "enumTitles": [ "On-site", "Remote", "Hybrid" ] }, "default": [] }, "experienceLevels": { "title": "Experience level", "type": "array", "description": "Filter by seniority. Leave empty for all levels.", "items": { "type": "string", "enum": [ "internship", "entry", "associate", "mid-senior", "director", "executive" ], "enumTitles": [ "Internship", "Entry level", "Associate", "Mid-Senior level", "Director", "Executive" ] }, "default": [] }, "jobTypes": { "title": "Job type", "type": "array", "description": "Filter by employment type. Leave empty for all.", "items": { "type": "string", "enum": [ "full-time", "part-time", "contract", "temporary", "internship", "volunteer" ], "enumTitles": [ "Full-time", "Part-time", "Contract", "Temporary", "Internship", "Volunteer" ] }, "default": [] }, "sortBy": { "title": "Sort by", "enum": [ "relevance", "date" ], "type": "string", "description": "Order results by LinkedIn relevance or most recent first.", "default": "relevance" }, "maxItems": { "title": "Max jobs", "minimum": 0, "type": "integer", "description": "Maximum number of jobs to save. LinkedIn's public search serves up to ~1000 results per query. Set to 0 to pull as many as LinkedIn returns.", "default": 200 }, "fetchDetails": { "title": "Scrape full job details", "type": "boolean", "description": "For every job, also open its page to pull the full description, seniority level, employment type, job function, industries, and applicant count. Turn OFF for a faster, lighter run that returns just the job cards (title, company, location, salary, link).", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "LinkedIn rate-limits aggressively. Apify Proxy is enabled by default and rotates IPs automatically. If you see throttling (HTTP 999) on large runs, switch to the RESIDENTIAL group.", "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 } } } } } } } } } } ```