# ✅ LinkedIn Jobs Scraper — No Cookies · No Login · Bulk Job API (`k1ra/linkedin-jobs-scraper`) Actor LinkedIn jobs scraper — no cookies, no login. Use as a bulk job scraper, n8n job scraper, Make job scraper, job feed automation or job alert scraper. LinkedIn salary scraper: full descriptions, salaries, remote jobs, applicant counts, seniority & recruiter. LinkedIn jobs csv export. Job search API. - **URL**: https://apify.com/k1ra/linkedin-jobs-scraper.md - **Developed by:** [Kevin Savani](https://apify.com/k1ra) (community) - **Categories:** Developer tools, Lead generation, Jobs - **Stats:** 2 total users, 1 monthly users, 75.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 jobs 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 Cookies · No Login · Global Job Search API Scrape **LinkedIn jobs** in bulk with **no login and no cookies**. Enter keywords and a location — the scraper automatically collects job postings across cities and countries, deduplicates them, and returns a clean structured list with full descriptions, salaries, applicant counts, and powerful filters. Use it as a **LinkedIn jobs API**, a **bulk LinkedIn job scraper**, or a scheduled job feed for **n8n, Make, and the Apify API**. **Pay per job — and pay nothing when a search returns no results.** --- ### Why Choose This LinkedIn Jobs Scraper - 🔓 **No cookies, no login, no ban risk** — your LinkedIn account is never involved. - 🌍 **Global** — search any country or city, with accurate location matching. - 📈 **High-volume** — collects significantly more jobs than typical LinkedIn scrapers. - 📝 **Full job details** — description, seniority, employment type, function, industry, applicants, and best-effort salary. - 🎯 **Smart filters** — date posted, seniority, job type, remote/hybrid, company, exact-title match, and recruiter-spam removal. - 🧹 **Clean data** — automatic deduplication and stable job IDs, ready for CSV/JSON export. - 💸 **Fair pricing** — pay per job delivered, free on empty. No upfront monthly fee. - 🔌 **Automation-ready** — n8n, Make, scheduling, and a simple API. --- ### How It Compares | Feature | **This Scraper** | Typical LinkedIn jobs scrapers | |---|:---:|:---:| | No cookies / no login | ✅ | ⚠️ often require a cookie | | Works globally (any country/city) | ✅ | ⚠️ frequently US-only | | High-volume job collection | ✅ | ❌ often returns fewer than 50 | | Full descriptions & job criteria | ✅ | ⚠️ partial | | Applicant count | ✅ | ❌ rarely | | Exact-title relevance filter | ✅ | ⚠️ "returns unrelated titles" | | Recruiter / staffing-spam filter | ✅ | ❌ almost none | | Deduplication + stable job ID | ✅ | ⚠️ inconsistent | | Pricing | ✅ pay per job, **free on empty** | ❌ flat monthly or charge-on-empty | | n8n / Make / API ready | ✅ | ⚠️ varies | --- ### Use Cases #### LinkedIn Jobs Scraper (No Cookies) Enter a job title and location and get a structured list of LinkedIn job postings — job ID, title, company, company page, location, and posting date — with **no login or cookies** required. #### LinkedIn Jobs Scraper API (Bulk Job Search) Use the **LinkedIn Jobs Scraper API** to pull large volumes of jobs per search — a true **bulk LinkedIn job search API** for aggregators, feeds, and market research. #### LinkedIn Jobs with Full Descriptions & Salaries Enable full details to add the complete description, seniority, employment type, job function, industry, applicant count, and **best-effort salary** — ideal for job boards and labor-market research. #### LinkedIn Remote Jobs Scraper Filter to **remote, hybrid, or on-site** roles to build a focused remote-jobs feed for boards, newsletters, and candidate alerts. #### LinkedIn Job Data Export (CSV / JSON) Get clean, deduplicated **LinkedIn job data** with stable IDs and export to **CSV, Excel, or JSON**, or pull it via API into your spreadsheets, BI tools, and databases. #### LinkedIn Job Listing, Vacancies & Feeds Turn any search into a live **LinkedIn job feed** — collect each **LinkedIn job listing** and **LinkedIn vacancies** by role, location, or company to power job boards, alerts, and market dashboards. #### LinkedIn Jobs Scraper for n8n, Make & API Trigger it from **n8n** or **Make**, schedule recurring runs, and consume results through the Apify API or the JavaScript/Python SDKs — perfect for job-alert bots and ATS sync. #### Company & Recruiter Targeting Scrape **all jobs for one company**, keep only titles that match your keywords, and remove **recruiter / staffing-agency** postings — filters most scrapers don't offer. --- ### Who Uses This | Use Case | Who It's For | |---|---| | Job board & aggregator feeds | Job boards, ATS vendors, HR tech | | Recruiting & talent sourcing | Recruiters, sourcers, staffing firms | | Salary & labor-market research | Analysts, researchers, comp teams | | Job-alert automation (n8n / Make) | Automation builders, indie hackers | | Lead generation from hiring signals | Sales & B2B prospecting teams | --- ### Input | Field | Description | |---|---| | `keywords` | Job search keywords (Boolean syntax supported). **Required.** | | `location` | Location name (e.g. *United States*, *Berlin*, *London*). Leave empty for global. | | `postedWithin` | `24h`, `7d`, `30d`, or `any`. | | `seniority` | Internship, Entry, Associate, Mid-Senior, Director, Executive. | | `jobType` | Full-time, Part-time, Contract, Temporary, Internship, Volunteer. | | `workplace` | On-site, Remote, Hybrid. | | `company` | Optional company name — returns all jobs for that company. | | `exactTitleMatch` | Keep only jobs whose title contains all your keywords. | | `excludeRecruiters` | Drop recruiting / staffing-agency postings. | | `maxResults` | Maximum jobs per search. | | `includeDescription` | Fetch each job's full description and details. | | `dedupe` | Remove duplicate postings by job ID (default on). | #### Example input ```json { "keywords": "data engineer", "location": "Berlin", "workplace": ["remote"], "postedWithin": "7d", "excludeRecruiters": true, "maxResults": 1000, "includeDescription": true } ```` *** ### Output Each dataset item is one LinkedIn job posting: ```json { "jobId": "4370317193", "title": "Software Engineer (New Grads)", "company": "Giga", "companyUrl": "https://www.linkedin.com/company/gigaml", "location": "San Francisco, CA", "postedAt": "2026-05-27", "jobUrl": "https://www.linkedin.com/jobs/view/4370317193", "activelyHiring": true, "description": "About Giga …", "seniorityLevel": "Not Applicable", "employmentType": "Full-time", "jobFunction": "Engineering and Information Technology", "industry": "Software Development", "applicants": "Over 200 applicants", "salaryText": "$160K - $250K", "source": "linkedin", "scrapedAt": "2026-05-29T03:08:02.191Z" } ``` The core fields are always present. `activelyHiring` is `true` when LinkedIn shows the **Actively Hiring** badge on the posting. Description, criteria, applicants, and salary are added when **Include full descriptions & details** is enabled. Each job includes its public LinkedIn `jobUrl`, where you can view and apply. *** ### Pricing **Pay per job delivered. `$0` when a search returns nothing.** No flat monthly fee, no charge for empty runs — you only pay for the unique jobs you actually receive. *** ### Integrations & Automation - **n8n / Make** — trigger runs and use the results in your workflows. - **API & SDKs** — start runs and fetch the dataset via the Apify API or the JavaScript/Python SDKs. - **Scheduling** — run daily or weekly for fresh job feeds and alerts. - **Export** — Dataset → Export → CSV / Excel / JSON, or auto-export to Google Sheets. *** ### FAQ **Does this LinkedIn jobs scraper need a cookie or login?** No. No cookies, no login, no account — and therefore no ban risk. **How many jobs can it return per search?** It collects significantly more jobs than most LinkedIn scrapers. Use `maxResults` to control the volume, and combine with date, seniority, or location filters to target exactly what you need. **Does it include salaries?** Salary is included on a best-effort basis from the job description when the posting mentions it. **Can I view and apply to the jobs?** Yes — every job includes its public LinkedIn `jobUrl`, where the Apply button lives. **Can I run it from n8n, Make, or the API?** Yes. Trigger it from n8n/Make or via the Apify API and SDKs, and export to CSV/JSON. **Is it legal?** It extracts only publicly available job postings. You are responsible for compliance with LinkedIn's Terms and applicable laws (GDPR, CCPA, etc.) when using the data. *** ### ⭐ Bookmark this Actor & Leave a Review If this **LinkedIn jobs scraper** saves you time: - **⭐ Star it** at the top of the page to bookmark it and help others find it. - **📝 Leave a review** — even one sentence on your use case helps us prioritize the next filter or field. Your bookmarks and reviews directly improve this actor's discoverability across the Apify Store. *** ### Related Apify Actors - [LinkedIn Scrapers](https://apify.com/store?search=linkedin%20scraper) — profile, company, and post scrapers - [Job Scrapers](https://apify.com/store?search=job%20scraper) — Indeed, Google Jobs, and more - [All Jobs Actors](https://apify.com/store?category=JOBS) — the full Apify jobs catalog *** ### Support & Feedback Found a bug or want a new filter or field? - **Open an issue** on the actor's Issues tab in the Apify Console. - **Feature requests** are welcome — especially new filters, fields, or job boards. # Actor input Schema ## `keywords` (type: `string`): Job search keywords. Boolean syntax is supported (e.g. "data engineer" AND python). Required. ## `location` (type: `string`): Location name (e.g. United States, Berlin, New York). Resolved to a precise LinkedIn geoId. Leave empty for global. ## `postedWithin` (type: `string`): Only return jobs posted within this window. ## `seniority` (type: `array`): Filter by seniority level. ## `jobType` (type: `array`): Filter by employment type. ## `workplace` (type: `array`): Filter by on-site, remote, or hybrid. ## `company` (type: `string`): Optional. Company name — resolved to a LinkedIn company id to return all jobs for that company. ## `exactTitleMatch` (type: `boolean`): Keep only jobs whose title contains all of your keywords (filters out loosely-related titles). ## `excludeRecruiters` (type: `boolean`): Drop postings from recruiting and staffing agencies. ## `maxResults` (type: `integer`): Maximum number of jobs to return. For high-volume searches the actor automatically splits across cities and merges results. ## `includeDescription` (type: `boolean`): Fetch each job's detail page for description, seniority, employment type, function, industry, applicants and best-effort salary. Slower (one request per job). ## `dedupe` (type: `boolean`): Remove duplicate postings by job id. ## `proxyConfiguration` (type: `object`): Optional. A residential proxy is required and used by default. Provide your own residential proxy here if needed. ## Actor input object example ```json { "keywords": "software engineer", "location": "United States", "postedWithin": "any", "exactTitleMatch": false, "excludeRecruiters": false, "maxResults": 200, "includeDescription": false, "dedupe": true } ``` # Actor output Schema ## `jobId` (type: `string`): Stable LinkedIn job posting id. ## `title` (type: `string`): Job title. ## `company` (type: `string`): Hiring company name. ## `companyUrl` (type: `string`): LinkedIn company page URL. ## `location` (type: `string`): Job location. ## `postedAt` (type: `string`): Date the job was posted (ISO date). ## `jobUrl` (type: `string`): Public LinkedIn job view URL (where the Apply button lives). ## `activelyHiring` (type: `string`): True when LinkedIn shows the 'Actively Hiring' badge on the posting. ## `description` (type: `string`): Full job description text. Only when details are enabled. ## `seniorityLevel` (type: `string`): Seniority level. Only when details are enabled. ## `employmentType` (type: `string`): Employment type. Only when details are enabled. ## `jobFunction` (type: `string`): Job function. Only when details are enabled. ## `industry` (type: `string`): Industry. Only when details are enabled. ## `applicants` (type: `string`): Applicant count text (caps at 'Over 200'). Only when details are enabled. ## `salaryText` (type: `string`): Best-effort salary parsed from the description. May be empty. ## `source` (type: `string`): Always 'linkedin'. ## `scrapedAt` (type: `string`): ISO 8601 timestamp of scrape. # 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": "United States" }; // Run the Actor and wait for it to finish const run = await client.actor("k1ra/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": "United States", } # Run the Actor and wait for it to finish run = client.actor("k1ra/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": "United States" }' | apify call k1ra/linkedin-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=k1ra/linkedin-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "✅ LinkedIn Jobs Scraper — No Cookies · No Login · Bulk Job API", "description": "LinkedIn jobs scraper — no cookies, no login. Use as a bulk job scraper, n8n job scraper, Make job scraper, job feed automation or job alert scraper. LinkedIn salary scraper: full descriptions, salaries, remote jobs, applicant counts, seniority & recruiter. LinkedIn jobs csv export. Job search API.", "version": "0.1", "x-build-id": "yKpSqZp9rk7sGHBrp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/k1ra~linkedin-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-k1ra-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/k1ra~linkedin-jobs-scraper/runs": { "post": { "operationId": "runs-sync-k1ra-linkedin-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/k1ra~linkedin-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-k1ra-linkedin-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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" ], "properties": { "keywords": { "title": "Keywords", "type": "string", "description": "Job search keywords. Boolean syntax is supported (e.g. \"data engineer\" AND python). Required." }, "location": { "title": "Location", "type": "string", "description": "Location name (e.g. United States, Berlin, New York). Resolved to a precise LinkedIn geoId. Leave empty for global." }, "postedWithin": { "title": "Date posted", "enum": [ "24h", "7d", "30d", "any" ], "type": "string", "description": "Only return jobs posted within this window.", "default": "any" }, "seniority": { "title": "Seniority levels", "type": "array", "description": "Filter by seniority level.", "items": { "type": "string", "enum": [ "internship", "entry", "associate", "mid_senior", "director", "executive" ], "enumTitles": [ "Internship", "Entry level", "Associate", "Mid-Senior level", "Director", "Executive" ] } }, "jobType": { "title": "Job types", "type": "array", "description": "Filter by employment type.", "items": { "type": "string", "enum": [ "full_time", "part_time", "contract", "temp", "internship", "volunteer" ], "enumTitles": [ "Full-time", "Part-time", "Contract", "Temporary", "Internship", "Volunteer" ] } }, "workplace": { "title": "Workplace type", "type": "array", "description": "Filter by on-site, remote, or hybrid.", "items": { "type": "string", "enum": [ "onsite", "remote", "hybrid" ], "enumTitles": [ "On-site", "Remote", "Hybrid" ] } }, "company": { "title": "Company", "type": "string", "description": "Optional. Company name — resolved to a LinkedIn company id to return all jobs for that company." }, "exactTitleMatch": { "title": "Exact title match", "type": "boolean", "description": "Keep only jobs whose title contains all of your keywords (filters out loosely-related titles).", "default": false }, "excludeRecruiters": { "title": "Exclude recruiters / staffing agencies", "type": "boolean", "description": "Drop postings from recruiting and staffing agencies.", "default": false }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of jobs to return. For high-volume searches the actor automatically splits across cities and merges results.", "default": 200 }, "includeDescription": { "title": "Include full descriptions & details", "type": "boolean", "description": "Fetch each job's detail page for description, seniority, employment type, function, industry, applicants and best-effort salary. Slower (one request per job).", "default": false }, "dedupe": { "title": "Deduplicate", "type": "boolean", "description": "Remove duplicate postings by job id.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional. A residential proxy is required and used by default. Provide your own residential proxy here if needed." } } }, "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 } } } } } } } } } } ```