# ๐Ÿ’ผ LinkedIn Jobs Scraper ๐Ÿ”“ No Cookie/Login Needed ๐Ÿ“„ +Raw HTML (`parseforge/linkedin-jobs-scraper`) Actor Supercharge your job market research! Get comprehensive job data including company information, salary range, skills requirements, and more. all without requiring a LinkedIn account. Perfect for recruiters, HR professionals, and market researchers who need accurate real time job market intelligence. - **URL**: https://apify.com/parseforge/linkedin-jobs-scraper.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** Jobs, Developer tools, Other - **Stats:** 47 total users, 2 monthly users, 100.0% runs succeeded, 4 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## ๐Ÿ’ผ LinkedIn Jobs Scraper > ๐Ÿš€ **Collect job listings from LinkedIn in minutes.** Search by keyword, location, job type, experience level, and salary. Export titles, companies, parsed salary ranges, extracted skills, and full descriptions. No coding, no LinkedIn login. > ๐Ÿ•’ **Last updated:** 2026-04-16 ยท **๐Ÿ“Š 30+ fields** per job ยท **๐Ÿ’ฐ Parsed salary ranges** ยท **๐Ÿ› ๏ธ Skill extraction** ยท **๐Ÿšซ No login** required The **LinkedIn Jobs Scraper** collects job listing data from LinkedIn, returning **30+ fields per job**: title, company, location, parsed salary (min/max with currency), extracted skills, experience level, workplace type, applicant count, posting date, full description, and Easy Apply flag. Runs support up to 1,000,000 listings on a paid plan. The Actor supports keyword search with 10+ filters: location, date posted, job type (full-time, part-time, contract, internship), experience level, workplace type (remote, hybrid, on-site), salary minimum, Easy Apply toggle, and sort order. Optional detail-page fetching adds full descriptions, parsed skills, and company info. | ๐ŸŽฏ Target Audience | ๐Ÿ’ก Primary Use Cases | |---|---| | Recruiters, HR teams, job aggregators, workforce analysts, salary benchmarking firms, competitive intelligence teams | Job market research, salary benchmarking, recruitment intelligence, skill-demand tracking, competitor hiring analysis | --- ### ๐Ÿ“‹ What the LinkedIn Jobs Scraper does Keyword search with 10+ filters: - ๐Ÿ” **Keyword search.** Job title, skills, or company name. - ๐Ÿ“ **Location filter.** City, state, country, or "Remote". - ๐Ÿ“… **Date posted filter.** Past 24 hours, week, or month. - ๐Ÿท๏ธ **Job type filter.** Full-time, part-time, contract, temporary, internship, volunteer. - ๐Ÿ“Š **Experience level filter.** Entry, associate, mid-senior, director, executive. - ๐Ÿ  **Workplace type filter.** On-site, remote, hybrid. - ๐Ÿ’ฐ **Salary filter.** Minimum salary threshold in USD. - โœ… **Easy Apply toggle.** Return only LinkedIn Easy Apply jobs. - ๐Ÿ“ **Detail fetching.** Optional full descriptions with parsed skills and company data. Each job record includes title, company, location, parsed salary range (min, max, currency, period), extracted skills array, experience level, workplace type, applicant count, posting date, job URL, Easy Apply flag, and (when details enabled) full description and company details. > ๐Ÿ’ก **Why it matters:** manually browsing LinkedIn for job market intelligence means scrolling through pages and copying data by hand. This Actor exports structured job data at scale, with parsed salary ranges and extracted skills ready for your dashboards, salary benchmarks, or ATS integrations. --- ### ๐ŸŽฌ Full Demo _๐Ÿšง Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded dataset._ --- ### โš™๏ธ Input
InputTypeDefaultBehavior
searchQuerystring""Job title, keywords, or company name.
locationstring""City, state, country, or "Remote".
maxItemsinteger10Max jobs. Free: up to 10. Paid: up to 1,000,000.
datePostedstring""Past 24 hours, week, or month.
jobTypearray[]Full-time, part-time, contract, temporary, internship.
experienceLevelarray[]Entry, associate, mid-senior, director, executive.
workplaceTypearray[]On-site, remote, hybrid.
salarystring""Minimum salary in USD.
easyApplyOnlybooleanfalseOnly LinkedIn Easy Apply jobs.
scrapeJobDetailsbooleanfalseFetch full descriptions, skills, and company data.
extractSkillsbooleanfalseParse skills from descriptions.
**Example: remote software engineer jobs posted this week, $100K+.** ```json { "searchQuery": "software engineer", "location": "Remote", "datePosted": "past-week", "workplaceType": ["remote"], "salary": "100000", "scrapeJobDetails": true, "extractSkills": true, "maxItems": 50 } ```` **Example: entry-level data analyst jobs in New York.** ```json { "searchQuery": "data analyst", "location": "New York, NY", "experienceLevel": ["entry"], "maxItems": 100 } ``` > โš ๏ธ **Good to Know:** residential proxies are recommended for large runs. LinkedIn rate-limits datacenter IPs aggressively. The proxy configuration is pre-filled with recommended settings. Enabling scrapeJobDetails is slower (1-2s per job) but returns much richer data. *** ### ๐Ÿ“Š Output Each job record contains **30+ fields** (with details enabled). Download the dataset as CSV, Excel, JSON, or XML. #### ๐Ÿงพ Schema | Field | Type | Example | |---|---|---| | ๐Ÿ“ title | string | `"Senior Software Engineer"` | | ๐Ÿข company | string | `"Google"` | | ๐Ÿ“ location | string | `"Mountain View, CA"` | | ๐Ÿ’ฐ salary | string | `"$150,000 - $200,000/yr"` | | ๐Ÿ’ต salaryMin | number | null | `150000` | | ๐Ÿ’ต salaryMax | number | null | `200000` | | ๐Ÿ’ฑ salaryCurrency | string | null | `"USD"` | | ๐Ÿ“Š salaryPeriod | string | null | `"yearly"` | | ๐Ÿท๏ธ jobType | string | `"Full-time"` | | ๐Ÿ“Š experienceLevel | string | `"Mid-Senior level"` | | ๐Ÿ  workplaceType | string | `"Remote"` | | ๐Ÿ‘ฅ applicantCount | string | `"200+ applicants"` | | ๐Ÿ“… postedDate | string | `"2 days ago"` | | โœ… easyApply | boolean | true | | ๐Ÿ› ๏ธ skills | array | `["Python", "AWS", "Kubernetes"]` | | ๐Ÿ“ description | string | null | `"We are looking for..."` | | ๐Ÿ”— jobUrl | string | `"https://www.linkedin.com/jobs/view/..."` | | ๐Ÿข companyUrl | string | null | `"https://www.linkedin.com/company/google"` | | ๐Ÿ•’ scrapedAt | ISO 8601 | `"2026-04-16T00:00:00.000Z"` | #### ๐Ÿ“ฆ Sample records
๐Ÿ’ผ Full-time remote engineer with salary and skills ```json { "title": "Senior Software Engineer", "company": "Google", "location": "Mountain View, CA (Remote)", "salary": "$150,000 - $200,000/yr", "salaryMin": 150000, "salaryMax": 200000, "salaryCurrency": "USD", "salaryPeriod": "yearly", "jobType": "Full-time", "experienceLevel": "Mid-Senior level", "workplaceType": "Remote", "applicantCount": "200+ applicants", "postedDate": "2 days ago", "easyApply": true, "skills": ["Python", "AWS", "Kubernetes", "Go"], "description": "We are looking for a Senior Software Engineer to join our Cloud team...", "jobUrl": "https://www.linkedin.com/jobs/view/12345678", "companyUrl": "https://www.linkedin.com/company/google", "scrapedAt": "2026-04-16T00:00:00.000Z" } ```
๐Ÿ“‹ Entry-level analyst without salary ```json { "title": "Data Analyst", "company": "Startup Inc.", "location": "New York, NY", "salary": null, "salaryMin": null, "salaryMax": null, "salaryCurrency": null, "salaryPeriod": null, "jobType": "Full-time", "experienceLevel": "Entry level", "workplaceType": "On-site", "applicantCount": "50 applicants", "postedDate": "1 week ago", "easyApply": false, "skills": [], "description": null, "jobUrl": "https://www.linkedin.com/jobs/view/87654321", "companyUrl": null, "scrapedAt": "2026-04-16T00:00:00.000Z" } ```
๐Ÿ—๏ธ Contract role with detailed skills ```json { "title": "DevOps Contractor", "company": "TechConsulting LLC", "location": "Austin, TX (Hybrid)", "salary": "$80 - $110/hr", "salaryMin": 80, "salaryMax": 110, "salaryCurrency": "USD", "salaryPeriod": "hourly", "jobType": "Contract", "experienceLevel": "Mid-Senior level", "workplaceType": "Hybrid", "applicantCount": "25 applicants", "postedDate": "3 days ago", "easyApply": true, "skills": ["Terraform", "Docker", "CI/CD", "AWS", "Linux"], "description": "6-month contract for infrastructure automation...", "jobUrl": "https://www.linkedin.com/jobs/view/11111111", "companyUrl": "https://www.linkedin.com/company/techconsulting", "scrapedAt": "2026-04-16T00:00:00.000Z" } ```
*** ### โœจ Why choose this Actor | | Capability | |---|---| | ๐Ÿ’ฐ | **Parsed salary ranges.** Min, max, currency, and period extracted from salary strings. | | ๐Ÿ› ๏ธ | **Skill extraction.** Technical and soft skills parsed from job descriptions. | | ๐Ÿ” | **10+ search filters.** Keyword, location, date, type, experience, workplace, salary, Easy Apply. | | ๐Ÿ“Š | **30+ fields per job.** Title, company, salary, skills, applicants, and full description. | | ๐Ÿ“ | **Optional detail fetching.** Full descriptions, company data, and parsed skills. | | โšก | **Scalable.** From quick 10-job samples to full market sweeps. | | ๐Ÿšซ | **No login.** No LinkedIn account or API key needed. | > ๐Ÿ“Š LinkedIn lists millions of active job openings worldwide. Structured access to this data, with parsed salary ranges and extracted skills, powers every recruitment, benchmarking, and workforce-intelligence workflow. *** ### ๐Ÿ“ˆ How it compares to alternatives | Approach | Cost | Coverage | Refresh | Salary parsing | Setup | |---|---|---|---|---|---| | **โญ LinkedIn Jobs Scraper** *(this Actor)* | $5 free credit, then pay-per-use | Any LinkedIn search | **Live per run** | Yes (min/max/currency) | โšก 2 min | | LinkedIn Recruiter | $8,000+/year | Full platform | Real-time | No parsing | ๐Ÿข Weeks | | Paid job intelligence platforms | $200-1,000/month | Multi-board | Varies | Some | โณ Days | | Manual LinkedIn browsing | Free | Manual | Manual | No | ๐Ÿ•’ Hours per search | Pick this Actor when you want LinkedIn job data with parsed salaries and extracted skills, without a Recruiter license. *** ### ๐Ÿš€ How to use 1. ๐Ÿ“ **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes). 2. ๐ŸŒ **Open the Actor.** Go to the LinkedIn Jobs Scraper page on the Apify Store. 3. ๐ŸŽฏ **Set input.** Enter a search query and location. Set job type, experience level, and maxItems. 4. ๐Ÿš€ **Run it.** Click **Start** and let the Actor collect your data. 5. ๐Ÿ“ฅ **Download.** Grab your results in the **Dataset** tab as CSV, Excel, JSON, or XML. > โฑ๏ธ Total time from signup to downloaded dataset: **3-5 minutes.** No coding required. *** ### ๐Ÿ’ผ Business use cases
#### ๐Ÿข Recruiters & Staffing Agencies - Monitor competitor hiring in real time - Track which skills employers demand most - Build candidate-sourcing intelligence - Benchmark offer packages by market #### ๐Ÿ“Š HR & Workforce Planning - Benchmark salaries against LinkedIn market data - Analyze job posting volume by location and role - Track skill-demand trends over time - Build workforce supply-demand models
#### ๐Ÿ’ป Job Aggregators & Career Platforms - Feed job boards with fresh LinkedIn listings - Enrich recommendations with salary and skill data - Build salary comparison tools - Power job-alert features #### ๐ŸŽ“ Job Seekers & Career Advisors - Research salary ranges before negotiations - Track new postings matching your profile daily - Compare skill requirements across similar roles - Identify high-demand skills in your field
*** *** ### ๐ŸŒŸ Beyond business use cases Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.
#### ๐ŸŽ“ Research and academia - Empirical datasets for papers, thesis work, and coursework - Longitudinal studies tracking changes across snapshots - Reproducible research with cited, versioned data pulls - Classroom exercises on data analysis and ethical scraping #### ๐ŸŽจ Personal and creative - Side projects, portfolio demos, and indie app launches - Data visualizations, dashboards, and infographics - Content research for bloggers, YouTubers, and podcasters - Hobbyist collections and personal trackers
#### ๐Ÿค Non-profit and civic - Transparency reporting and accountability projects - Advocacy campaigns backed by public-interest data - Community-run databases for local issues - Investigative journalism on public records #### ๐Ÿงช Experimentation - Prototype AI and machine-learning pipelines with real data - Validate product-market hypotheses before engineering spend - Train small domain-specific models on niche corpora - Test dashboard concepts with live input
### ๐Ÿค– Ask an AI assistant about this scraper Open a ready-to-send prompt about this ParseForge actor in the AI of your choice: - ๐Ÿ’ฌ [**ChatGPT**](https://chat.openai.com/?q=How%20do%20I%20use%20the%20%F0%9F%92%BC%20LinkedIn%20Jobs%20Scraper%20%F0%9F%94%93%20No%20Cookie%2FLogin%20Needed%20%F0%9F%93%84%20%2BRaw%20HTML%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿง  [**Claude**](https://claude.ai/new?q=How%20do%20I%20use%20the%20%F0%9F%92%BC%20LinkedIn%20Jobs%20Scraper%20%F0%9F%94%93%20No%20Cookie%2FLogin%20Needed%20%F0%9F%93%84%20%2BRaw%20HTML%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿ” [**Perplexity**](https://perplexity.ai/search?q=How%20do%20I%20use%20the%20%F0%9F%92%BC%20LinkedIn%20Jobs%20Scraper%20%F0%9F%94%93%20No%20Cookie%2FLogin%20Needed%20%F0%9F%93%84%20%2BRaw%20HTML%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿ…’ [**Copilot**](https://copilot.microsoft.com/?q=How%20do%20I%20use%20the%20%F0%9F%92%BC%20LinkedIn%20Jobs%20Scraper%20%F0%9F%94%93%20No%20Cookie%2FLogin%20Needed%20%F0%9F%93%84%20%2BRaw%20HTML%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) ### โ“ Frequently Asked Questions
๐Ÿ’ณ Do I need a paid Apify plan to run this actor? No. You can start right now on the free Apify plan, which includes **$5 in free monthly credit**. That is enough to run this actor several times and explore the output before committing to anything. Paid plans unlock higher limits, more concurrent runs, and larger datasets. [Create a free Apify account here](https://console.apify.com/sign-up?fpr=vmoqkp) to get started.
๐Ÿšจ What happens if my run fails or returns no results? Failed runs are not charged. If the source site changes, proxies get rate-limited, or a specific input matches nothing, re-run the actor or open our [contact form](https://tally.so/r/BzdKgA) and we will investigate. You can also check the run log in the Apify console to see why the run stopped.
๐Ÿ“ How many items can I scrape per run? Free users are limited to **10 items per run** so you can preview the output and confirm the actor works for your use case. Paid users can raise maxItems up to **1,000,000** per run. [Upgrade here](https://console.apify.com/sign-up?fpr=vmoqkp) if you need full scale.
๐Ÿ•’ How fresh is the data? Every run fetches live data at the moment of execution. There is no cache or delay: the records you get reflect what the source returned at that moment. Schedule the actor to maintain a rolling snapshot of the data you need.
๐Ÿง‘โ€๐Ÿ’ป Can I call this actor from my own code? Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for [Node.js](https://docs.apify.com/sdk/js) and [Python](https://docs.apify.com/sdk/python). You can start a run, read the dataset, and handle webhooks from your own app in a few lines. All you need is your Apify API token.
๐Ÿ“ค How do I export the data? Every Apify dataset can be downloaded in one click from the console as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the [Apify API](https://docs.apify.com/api/v2) or stream them into BigQuery, S3, and other destinations through built-in integrations.
๐Ÿ“… Can I schedule the actor to run automatically? Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make. ***
### ๐Ÿ”Œ Automating LinkedIn Jobs Scraper Control the scraper programmatically for scheduled runs and pipeline integrations: - ๐ŸŸข **Node.js.** Install the apify-client NPM package. - ๐Ÿ **Python.** Use the apify-client PyPI package. - ๐Ÿ“š See the [Apify API documentation](https://docs.apify.com/api/v2) for full details. The [Apify Schedules feature](https://docs.apify.com/platform/schedules) lets you trigger this Actor on any cron interval. Daily pulls keep your recruitment intelligence fresh. ### ๐Ÿ”Œ Integrate with any app LinkedIn Jobs Scraper connects to any cloud service via [Apify integrations](https://apify.com/integrations): - [**Make**](https://docs.apify.com/platform/integrations/make) - Automate multi-step workflows - [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect with 5,000+ apps - [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get alerts on new matching jobs - [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Pipe job data into your warehouse - [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger runs from commits and releases - [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export datasets straight to Sheets *** ### ๐Ÿ”— Recommended Actors - [**๐Ÿ” SEEK Job Scraper**](https://apify.com/parseforge/seek-scraper) - Job listings from Australia's largest job board - [**๐Ÿ” ClearedJobs Scraper**](https://apify.com/parseforge/clearedjobs-scraper) - Security-cleared job listings - [**๐Ÿ“Š Glassdoor Jobs Scraper**](https://apify.com/parseforge/glassdoor-scraper-jobs) - Jobs with salary and company data - [**๐Ÿ“ธ Instagram Posts Scraper**](https://apify.com/parseforge/instagram-posts-scraper) - Posts and engagement from public profiles - [**๐Ÿ’ผ PitchBook Investors Scraper**](https://apify.com/parseforge/pitchbook-investors-scraper) - Investor profiles with AUM and contact data > ๐Ÿ’ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more job and recruitment scrapers. *** **๐Ÿ†˜ Need Help?** [**Open our contact form**](https://tally.so/r/BzdKgA) to request a new scraper, propose a custom data project, or report an issue. *** > **โš ๏ธ Disclaimer:** this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation or Microsoft. All trademarks mentioned are the property of their respective owners. Only publicly available job listing data is collected. # Actor input Schema ## `searchQuery` (type: `string`): Job title, keywords, or company name to search for ## `location` (type: `string`): City, state, country, or 'Remote' ## `maxItems` (type: `integer`): Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000. ## `datePosted` (type: `string`): Filter jobs by when they were posted ## `jobType` (type: `array`): Filter by employment type ## `experienceLevel` (type: `array`): Filter by required experience ## `workplaceType` (type: `array`): Filter by workplace arrangement ## `easyApplyOnly` (type: `boolean`): Only return jobs with LinkedIn Easy Apply ## `salary` (type: `string`): Filter by minimum salary (USD) ## `sortBy` (type: `string`): How to sort job results ## `scrapeJobDetails` (type: `boolean`): Fetch complete job descriptions, skills, salary info, and company details. Disabling this returns only basic info (title, company, location, link) but is 5-10x faster. ## `extractSkills` (type: `boolean`): Parse skills from job descriptions ## `includeBlockedJobs` (type: `boolean`): Include jobs where full details could not be retrieved. Returns basic info with isBlocked=true flag. ## `includeRawHtml` (type: `boolean`): Include the raw HTML of the job detail page in the output for custom parsing. ## `proxyConfiguration` (type: `object`): Proxy settings. Residential proxies recommended for avoiding rate limits. ## `maxConcurrency` (type: `integer`): Maximum number of parallel requests. Lower if you experience blocks. ## Actor input object example ```json { "searchQuery": "software engineer", "location": "United States", "maxItems": 10, "datePosted": "anyTime", "jobType": [], "experienceLevel": [], "workplaceType": [], "easyApplyOnly": false, "sortBy": "relevant", "scrapeJobDetails": true, "extractSkills": true, "proxyConfiguration": { "useApifyProxy": true }, "maxConcurrency": 10 } ``` # Actor output Schema ## `jobs` (type: `string`): Complete dataset with all scraped job listings including full details ## `overview` (type: `string`): Summary view with key job fields in a table format # 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 = { "searchQuery": "software engineer", "location": "United States", "maxItems": 10, "scrapeJobDetails": true, "extractSkills": true, "includeBlockedJobs": false, "includeRawHtml": false, "proxyConfiguration": { "useApifyProxy": true }, "maxConcurrency": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/linkedin-jobs-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "searchQuery": "software engineer", "location": "United States", "maxItems": 10, "scrapeJobDetails": True, "extractSkills": True, "includeBlockedJobs": False, "includeRawHtml": False, "proxyConfiguration": { "useApifyProxy": True }, "maxConcurrency": 10, } # Run the Actor and wait for it to finish run = client.actor("parseforge/linkedin-jobs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQuery": "software engineer", "location": "United States", "maxItems": 10, "scrapeJobDetails": true, "extractSkills": true, "includeBlockedJobs": false, "includeRawHtml": false, "proxyConfiguration": { "useApifyProxy": true }, "maxConcurrency": 10 }' | apify call parseforge/linkedin-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/linkedin-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "๐Ÿ’ผ LinkedIn Jobs Scraper ๐Ÿ”“ No Cookie/Login Needed ๐Ÿ“„ +Raw HTML", "description": "Supercharge your job market research! Get comprehensive job data including company information, salary range, skills requirements, and more. all without requiring a LinkedIn account. Perfect for recruiters, HR professionals, and market researchers who need accurate real time job market intelligence.", "version": "1.0", "x-build-id": "HLOSfTRcEwzd7Zvpw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~linkedin-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~linkedin-jobs-scraper/runs": { "post": { "operationId": "runs-sync-parseforge-linkedin-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~linkedin-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-parseforge-linkedin-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQuery" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Job title, keywords, or company name to search for" }, "location": { "title": "Location", "type": "string", "description": "City, state, country, or 'Remote'" }, "maxItems": { "title": "Max Results", "minimum": 1, "maximum": 1000000, "type": "integer", "description": "Free users: Limited to 10 items (preview). Paid users: Optional, max 1,000,000." }, "datePosted": { "title": "Date Posted", "enum": [ "anyTime", "pastDay", "pastWeek", "pastMonth" ], "type": "string", "description": "Filter jobs by when they were posted", "default": "anyTime" }, "jobType": { "title": "Job Type", "type": "array", "description": "Filter by employment type", "items": { "type": "string", "enum": [ "fullTime", "partTime", "contract", "temporary", "internship", "volunteer", "other" ], "enumTitles": [ "Full-time", "Part-time", "Contract", "Temporary", "Internship", "Volunteer", "Other" ] }, "default": [] }, "experienceLevel": { "title": "Experience Level", "type": "array", "description": "Filter by required experience", "items": { "type": "string", "enum": [ "internship", "entryLevel", "associate", "midSenior", "director", "executive" ], "enumTitles": [ "Internship", "Entry level", "Associate", "Mid-Senior level", "Director", "Executive" ] }, "default": [] }, "workplaceType": { "title": "Workplace Type", "type": "array", "description": "Filter by workplace arrangement", "items": { "type": "string", "enum": [ "onSite", "remote", "hybrid" ], "enumTitles": [ "On-site", "Remote", "Hybrid" ] }, "default": [] }, "easyApplyOnly": { "title": "Easy Apply Only", "type": "boolean", "description": "Only return jobs with LinkedIn Easy Apply", "default": false }, "salary": { "title": "Minimum Salary", "enum": [ "", "40000", "60000", "80000", "100000", "120000", "140000", "160000", "180000", "200000" ], "type": "string", "description": "Filter by minimum salary (USD)" }, "sortBy": { "title": "Sort By", "enum": [ "relevant", "recent" ], "type": "string", "description": "How to sort job results", "default": "relevant" }, "scrapeJobDetails": { "title": "Scrape Full Job Details", "type": "boolean", "description": "Fetch complete job descriptions, skills, salary info, and company details. Disabling this returns only basic info (title, company, location, link) but is 5-10x faster.", "default": true }, "extractSkills": { "title": "Extract Skills", "type": "boolean", "description": "Parse skills from job descriptions" }, "includeBlockedJobs": { "title": "Include Blocked Jobs", "type": "boolean", "description": "Include jobs where full details could not be retrieved. Returns basic info with isBlocked=true flag." }, "includeRawHtml": { "title": "Include Raw HTML", "type": "boolean", "description": "Include the raw HTML of the job detail page in the output for custom parsing." }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Residential proxies recommended for avoiding rate limits." }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 70, "type": "integer", "description": "Maximum number of parallel requests. Lower if you experience blocks.", "default": 10 } } }, "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 } } } } } } } } } } ```