LinkedIn Jobs Scraper (No Login): Search & Job Alerts

Scrape public LinkedIn job listings without logging in: search by keyword and location and get clean JSON/CSV/Excel with job title, company, location, posting date, full description, seniority level, employment type, industries, applicants and the job URL. Only-new mode for daily job alerts. It reads only the public, logged-out job pages that anyone can open in a browser. No account, no cookies, no API key, no proxy.

🇪🇸 Español: extrae ofertas de empleo públicas de LinkedIn sin iniciar sesión: busca por palabra clave y ubicación y obtén título, empresa, ubicación, fecha, descripción completa, nivel de seniority, tipo de contrato, industria y número de postulantes. Modo solo ofertas nuevas para alertas diarias. Sin cuenta ni cookies; no extrae perfiles ni datos personales. Ve la sección de responsabilidad más abajo. 🇧🇷 Português: extrai vagas públicas do LinkedIn sem login: busque por palavra-chave e local e receba título, empresa, local, data, descrição completa, nível de senioridade, tipo de contrato, setor e número de candidatos. Modo somente vagas novas para alertas diários. Sem conta nem cookies; não extrai perfis nem dados pessoais. Veja a seção de responsabilidade abaixo.

What you get

• 🔎 Search by keyword and location (one search per keyword × location pair), or paste public LinkedIn job search URLs.
• 📄 Full job details (default on): description as text + HTML, seniority level, employment type, industries, applicants and the salary text when the page shows one.
• 🗓️ Date posted filter applied by LinkedIn (past 24 hours / week / month).
• 🎯 Extra filters applied by the Actor: job type, experience level, remote only, title keywords, excluded titles and companies. Jobs that don't match are skipped and never charged.
• 🔔 Only new jobs (onlyNew, onlyNewSince): every row has isNew and firstSeen. Schedule it daily with "Past 24 hours" and pay only for jobs you haven't seen.
• 💸 $1.20 per 1,000 jobs, plus $0.005 per run. Runs with no results cost nothing.

Built to stay on the public side (and polite)

• Public job listings only. The Actor never logs in, never uses cookies or accounts, and never opens profiles. It does not collect people, recruiter, employee or other personal data. The only company data is the employer's name and public company page link.
• Low request rate. One request at a time with short pauses. When LinkedIn answers with a rate limit (HTTP 429) the Actor cools down for 25-30 seconds and retries; if LinkedIn keeps refusing, the run stops cleanly and keeps (and charges only for) what it already saved.
• No residential proxies, no tricks to get around blocks.

Disclaimer: your responsibility

This Actor is not affiliated with, endorsed by or sponsored by LinkedIn. "LinkedIn" is a trademark of its owner and is used here only to describe the source of the public data. You are responsible for complying with LinkedIn's Terms of Service (which restrict automated access) and with the laws that apply to you (data protection, copyright, competition, employment). Use the data for lawful purposes, respect the rights of the people and companies in it, and keep volumes reasonable. This text is not legal advice. If LinkedIn changes or restricts public access, the Actor can stop working.

Pricing

Pay-per-event: $0.0012 per job (Store discounts for Silver/Gold/Platinum/Diamond plans) + $0.005 once per run, charged only if at least one job is saved. Duplicates and jobs filtered out are free. A spending limit is respected: the run stops cleanly at it.

Input (all optional)

{
  "keywords": ["data analyst", "python developer"],
  "locations": ["Spain", "Mexico City"],
  "datePosted": "week",
  "jobType": ["full-time"],
  "experienceLevel": ["entry", "associate"],
  "remoteOnly": false,
  "excludeTitleKeywords": ["intern"],
  "includeDescription": true,
  "maxItems": 50,
  "onlyNew": true
}

Empty input searches "software engineer" in the United States and returns 25 jobs with full descriptions.

• keywords × locations: each pair is one search. maxItems is shared evenly between the searches unless you set maxItemsPerSearch.
• searchUrls: public search URLs (https://www.linkedin.com/jobs/search/?keywords=...&location=...). Only keywords, location, geoId, distance, date posted and company filters are read from the URL.
• jobType, experienceLevel, remoteOnly: LinkedIn offers these filters only to logged-in users, so the Actor applies them by reading each job's own page. Skipped jobs cost a few extra requests (time) but nothing in credits. remoteOnly is text-based (title, location, description).
• onlyNew: return only jobs that earlier runs with the same searches (or the same stateKey) didn't return. onlyNewSince: a date (2026-10-01) or a period (7 days).
• Turn includeDescription off for a fast list (title, company, location, date, URL): about 10 jobs per request.

Output example (real run)

{
  "jobId": "4476983365",
  "title": "Software Engineer II (Java/AWS)",
  "companyName": "JPMorganChase",
  "companyUrl": "https://www.linkedin.com/company/jpmorganchase",
  "location": "New York, NY",
  "postedAt": "2026-10-08",
  "postedAgo": "2 weeks ago",
  "salaryText": "$123,500.00/yr - $150,000.00/yr",
  "url": "https://www.linkedin.com/jobs/view/4476983365",
  "seniorityLevel": "Not Applicable",
  "employmentType": "Full-time",
  "industries": "Financial Services",
  "applicants": 200,
  "applicantsText": "Over 200 applicants",
  "remote": false,
  "seniority": null,
  "isNew": true,
  "firstSeen": "2026-10-28T18:46:41+00:00",
  "scrapedAt": "2026-10-28T18:46:41+00:00",
  "searchKeywords": "software engineer",
  "searchLocation": "United States",
  "postingKey": "4476983365",
  "descriptionText": "Responsibilities: ... (full job description) ..."
}

Speed and limits (honest)

• LinkedIn throttles anonymous traffic, so this Actor is slow on purpose: one request at a time with 1-2 s gaps, about 25-30 jobs per minute with full details (about 60 per minute as a plain list). In our Apify tests: 25 jobs in 55 s, 60 jobs in 2 min, 200 jobs in 7 min. If LinkedIn rate-limits (HTTP 429), the Actor waits 25-30 s and retries; if it keeps refusing it stops and keeps what it saved. We met no 429 in 288+ requests on Apify, but LinkedIn's limits change by network and by hour.
• Filters beyond date posted run inside the Actor: when few jobs match (e.g. remote only), it checks up to about 100 listings per 5 jobs requested, so it may return fewer jobs than maxItems. Example: 'customer support' in Mexico, remote only: 3 jobs from 87 requests.
• LinkedIn serves at most about 1,000 jobs per search. Use several keywords/locations and date filters for more.
• applicants is a lower bound when LinkedIn says "Over 200 applicants".
• Salary appears only when the listing shows it (many don't).
• Seniority (seniority) is a guess from the title; seniorityLevel is LinkedIn's own value.
• Job type, experience and remote filters are applied by the Actor, not by LinkedIn.

Use cases

Job alerts and job boards for a niche · recruiting and sourcing (who is hiring for what, where) · hiring-trend and market intelligence by role, city or industry · sales triggers (companies hiring for a role you sell to) · career research · feeding AI agents and dashboards.

Scheduling and integrations

Schedule a task daily with datePosted: "24h" and onlyNew: true and send new jobs to Slack, email, Google Sheets, Make, Zapier or n8n with webhooks/integrations. REST: POST https://api.apify.com/v2/acts/datadesk-io~linkedin-jobs-scraper/run-sync-get-dataset-items?token=....

Use with AI agents (MCP)

This Actor works as a tool for AI agents through the Apify MCP server. Add it to Claude, ChatGPT, Cursor, VS Code or any MCP client:

https://mcp.apify.com/?tools=datadesk-io/linkedin-jobs-scraper

Sign in with OAuth or Authorization: Bearer <APIFY_TOKEN>. Local stdio config:

{"mcpServers": {"linkedin-jobs": {"command": "npx", "args": ["-y", "@apify/actors-mcp-server", "--tools", "datadesk-io/linkedin-jobs-scraper"], "env": {"APIFY_TOKEN": "<token>"}}}}

What goes in → what comes out: Input: keywords and locations (or public search URLs), optional date, job type, experience, remote and title filters, caps. Output: one JSON row per public job with title, company, location, posting date, description, seniority, employment type, industries, applicants and URL. Every input is optional and every output field is documented.

Example prompt: "Find 20 remote data engineer jobs posted in the last 24 hours in Germany on LinkedIn, with company and seniority." Use maxItems to cap the cost and time of one call.

FAQ

Do I need a LinkedIn account or API key? No. The Actor never logs in. Does it scrape profiles, recruiters or employees? No. Public job postings only. Why so slow? To respect LinkedIn's rate limits; the Actor pauses instead of hammering the site. Is this allowed? See the disclaimer above: you are responsible for complying with LinkedIn's terms and the law. Related: Greenhouse, Lever, Ashby, Workday and 12 more career systems in one run: ATS Jobs Scraper. Large employers on Workday: Workday Jobs Scraper. LatAm job boards: Computrabajo & Bumeran Jobs Scraper. Issues? Report them on the Issues tab. We usually reply within 48 h.