LinkedIn Jobs [Just 💰$0.27] — Salary, Company & No Cookies

What does LinkedIn Jobs do?

LinkedIn Job Scraper extracts linkedin.com job postings — full descriptions, salary, skills, apply URLs, AI-ready summaries, and employer details (company size, website, industry) — with no login or cookies, at $0.27 per 1,000 results. Target jobs by keyword + location, by a pasted LinkedIn search URL, or by a direct job URL — no manual URL-building required. Recurring runs can skip already-seen jobs.

How to use this actor

• 👉 Register for a free Apify account — no credit card required.
• 🎉 Just click Sign up free on Apify → and complete a quick signup.
• 💰 A free Apify account includes $5 in monthly credits — enough to test this actor.
• ⏳ Scrape during the free trial, with no commitment or upfront payment required.

Key features

• 🎯 Structured filters — or paste a URL — no URL-building required: set keywords, location, and the dropdown filters (date posted, work type, experience, job type, salary, Easy Apply) and run. Prefer a search you already built? Paste its LinkedIn search URL and every filter is read for you. Need one specific posting? Paste the job URL (.../jobs/view/1234567890) and it's scraped directly with full detail. Mix all three in one run.
• 📋 Detail enrichment — two-stage mode: list, then enrich each job with the full description plus detail-page fields such as apply counts, seniority, employment type, job function, and industry.
• 🏢 Company-level filtering — companies: [123, 456] filters at the LinkedIn API level, while excludeCompanies and excludeKeywords remove unwanted matches after fetch.
• 🌎 Multi-region with presets — pass regions: ["US", "GB", "DE"] for a custom country mix, or pick presets like "nordic", "dach", "benelux", "uk-ireland", "eu-27", "gcc", "mena", "asean", "latam", or "anglosphere".
• ⚡ Easy-Apply filter — easyApply: true returns only LinkedIn Easy-Apply postings.
• 🚫 Recruiter-spam filter — removeAgency: true runs a heuristic post-filter on company names and drops listings from third-party agencies.
• 🤖 AI-ready output — deterministic aiSummary and skills fields give compact context for ATS, recruiting agents, and MCP workflows without extra enrichment calls.
• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook outputs for new-job alerts.
• ♻️ Incremental mode — recurring runs emit only NEW / UPDATED / REAPPEARED records; UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff.
• ✂️ Description truncation — cap enriched descriptions with descriptionMaxLength when downstream systems need smaller records.
• 📦 Compact mode — AI-agent and MCP-friendly compact payloads with core fields only; pipe them into your ATS, monitoring workflow, or LLM context without parsing extras.

What data can you extract from linkedin.com?

Each result includes Core job fields (scrapedAt, portalUrl, jobId, linkedinJobId, jobUrl, title, location, and country, and more), detail fields when enrichment is enabled (description, descriptionHtml, descriptionMarkdown, and postingBenefits), apply information (applyUrl, applyType, and easyApply), and company metadata (company, companyUrl, companyId, and companyLogo). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• keywords — Job search keywords (e.g. "software engineer", "nurse"). Leave blank to browse all jobs in the selected location.
• location — City, state, region, or country (e.g. "Berlin, Germany", "United States"). LinkedIn resolves it for you — no IDs needed. Leave empty for global results.
• geoIds — Advanced/optional override — most users just use 📍 Location, which LinkedIn resolves automatically. For exact targeting, paste a LinkedIn jobs search URL into 🔗 Start URLs (the geoId is read for you), or copy the numeric geoId from a LinkedIn jobs URL. Each geoId becomes a separate query, deduped on jobId. (default: [])
• regions — Two-letter country codes (e.g. "US", "GB", "DE"). Resolved to LinkedIn country geoIds. Use geoIds[] for unsupported markets. (default: [])
• regionPresets — Pre-defined country grouping. Combined with regions[] if both are set.
• datePosted — Filter by posting recency. "lastHour" is unique to this scraper. (default: "anytime")
• jobType — Multi-select employment type filter. (default: [])
• experienceLevel — Multi-select seniority filter. (default: [])
• workType — Multi-select onsite/remote/hybrid filter. (default: [])
• salaryMin — Minimum annual salary (USD). Mapped to LinkedIn's nearest f_SB2 bucket. Post-filtered exactly.
• salaryMax — Maximum annual salary. Post-filtered (LinkedIn has no native max filter).
• salaryIncludeUnknown — When salaryMin/Max set, include jobs with no salary data. (default: true)
• ...and 43 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "keywords": "software engineer",
  "maxResults": 50
}

Filtered search — Narrow results with advanced filters — only matching jobs are returned.

→ Same field set as basic search; fewer, more relevant rows.

{
  "keywords": "software engineer",
  "jobType": [
    "fulltime"
  ],
  "workType": [
    "onsite"
  ],
  "experienceLevel": [
    "internship"
  ],
  "maxResults": 100
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "keywords": "software engineer",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "software-engineer-tracker"
}

Compact filtered output — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

{
  "keywords": "software engineer",
  "jobType": [
    "fulltime"
  ],
  "workType": [
    "onsite"
  ],
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "scrapedAt": "2026-04-27T19:02:37.769Z",
  "portalUrl": "https://www.linkedin.com",
  "source": "linkedin",
  "jobId": "1705fc4ee704bf3584cf2654b20e8f95383167563ff7ecd0184b58d2c7d66236",
  "linkedinJobId": "4406118990",
  "jobUrl": "https://www.linkedin.com/jobs/view/software-engineer-new-grad-at-notion-4406118990",
  "title": "Software Engineer, New Grad",
  "company": "Notion",
  "companyUrl": "https://www.linkedin.com/company/notionhq",
  "companyId": "notionhq",
  "location": "San Francisco, CA",
  "country": "CA",
  "postedAt": "2026-04-24T00:00:00.000Z",
  "applyUrl": "https://www.linkedin.com/jobs/view/software-engineer-new-grad-at-notion-4406118990",
  "applyType": "unknown",
  "description": "About Us Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs,...",
  "descriptionHtml": "<strong>About Us<br><br></strong>Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, sea...",
  "descriptionMarkdown": "About Us Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs,...",
  "seniorityLevel": "Not Applicable",
  "employmentType": "Full-time",
  "industry": "Software Development",
  "jobFunction": "Engineering and Information Technology",
  "applicantCount": 200,
  "easyApply": false,
  "contentHash": "eda6ea0d0ad7711b94b796376d0ace88eaf03a62afdefe9708fa4f1c7ae4ae8f",
  "isPromoted": false,
  "postingBenefits": [
    "Actively Hiring"
  ],
  "trackingId": "U6ZtuvNYKrwizG8bYR1Kqw=="
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape linkedin.com

1. Go to LinkedIn Jobs in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Scrape a specific LinkedIn job posting by pasting its URL for full structured detail.
• Extract job data from linkedin.com for market research and competitive analysis.
• Build targeted outreach and lead lists filtered by company, region, and role.
• Auto-apply or feed apply URLs into your ATS / hiring pipeline.
• Research company hiring patterns, employer profiles, and industry distribution.
• Use structured location data for regional analysis, mapping, and geo-targeting.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Monitor new and changed listings on scheduled runs without processing the full dataset every time.

How much does it cost to scrape linkedin.com?

LinkedIn Jobs uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.0005 per run
• Per result: $0.00027 per job record

Example costs:

• 10 results: $0.0032
• 25 results: $0.00725
• 100 results: $0.028
• 200 results: $0.054
• 500 results: $0.14

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of jobs that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 250 jobs per run, daily polling (30 runs/month). Costs scale linearly with the number of jobs.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.07	$0.00387	$0.06 (94%)	$0.12
15% — moderate broad query	$0.07	$0.01	$0.06 (84%)	$0.32
30% — high-volume aggregator	$0.07	$0.02	$0.05 (69%)	$0.62

Full re-scrape monthly cost at the same cadence: $2.04. First month with incremental costs $0.18 / $0.38 / $0.67 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

FAQ

How many results can I get from linkedin.com?

The number of results depends on the search query and available jobs on linkedin.com. Use the maxResults parameter to control how many results are returned per run.

Does LinkedIn Jobs support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed jobs on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate LinkedIn Jobs with other apps?

Yes. LinkedIn Jobs works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use LinkedIn Jobs with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use LinkedIn Jobs through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape linkedin.com?

This actor extracts publicly available data from linkedin.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

You might also like

• Actiris [Just 💰$1.5] — Brussels Public Jobs — 💰 $1.5 per 1,000 jobs. Scrape actiris.brussels — the official Brussels public employment service.
• AMS Austria — Public Employment Service Jobs — Scrape jobs.ams.at — Austria's official AMS public employment portal (branded alle jobs) with live.
• APEC.fr Scraper - French Executive Jobs — Scrape apec.fr - French executive job listings with salary ranges, company, location, skills,.
• Arbeitsagentur [Just 💰$0.45] — German Federal Jobs — 💰 from $0.45 per 1,000 jobs. Scrape arbeitsagentur.de — Germany's official public employment.
• Arbetsförmedlingen [Just 💰$3] — Sweden Public Jobs — 💰 $3 per 1,000 jobs. Scrape arbetsformedlingen.se (Platsbanken) — Sweden's official employment.
• Bayt — MENA Jobs with Salary & Skills — Scrape bayt.com — the leading Middle East job board across UAE · Saudi Arabia · Qatar · Egypt & 9.
• BestJobs.eu [Just 💰$1.5] — Romania Job Board — 💰 $1.5 per 1,000 jobs. Scrape bestjobs.eu — a leading Romanian job board — export salary ranges ·.
• Bumeran [Just 💰$1] — LATAM Jobs (7 Countries) — 💰 $1 per 1,000 jobs. Scrape Bumeran Group across LATAM — Argentina · Chile · Ecuador · Mexico ·.

Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on linkedin.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with LinkedIn Jobs's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is not affiliated with, endorsed by, or connected to LinkedIn Jobs.

Search keywords

linkedin scraper, linkedin api, apify linkedin, linkedin data extraction, linkedin jobs scraper, apify linkedin jobs, linkedin jobs data extraction, linkedin.com scraper, linkedin.com data, linkedin.com api, job listings scraper, recruitment data, hiring data, job board scraper.