LinkedIn Jobs Scraper: job listings by keyword and location, with full descriptions

Get the job listings behind any LinkedIn job search as clean JSON: title, company, location and posting date. Tick one box to add the full job description, seniority level, employment type, job function, industry and the number of applicants. Search by keyword and location, or set your filters on LinkedIn in the browser and paste the URL of the result page.

No login, no cookies, no API key, no proxy setup. It reads the public job pages LinkedIn shows to visitors who are not signed in, so your own LinkedIn account is never involved.

Run it with the default input to see it work. It returns the newest data engineer jobs in the United States.

What you get

One row per job:

field	meaning
job_id	LinkedIn's id for the job, stable across runs
title	Job title
company	Hiring company
company_url	The company's LinkedIn page
company_logo	URL of the company logo
location	Location as posted
date_posted	Posting date, YYYY-MM-DD
posted_ago	Relative age as LinkedIn shows it
badge	LinkedIn's label on the card, for example Actively Hiring or Be an early applicant
url	Link to the job on LinkedIn
search_url	The LinkedIn search this job came from
description	Full job description as plain text. Only with includeDescription
seniority_level	For example Entry level or Mid-Senior level. Only with includeDescription
employment_type	For example Full-time or Contract. Only with includeDescription
job_function	For example Engineering and Information Technology. Only with includeDescription
industries	Industry of the company. Only with includeDescription
applicants	Number of applicants LinkedIn shows. Only with includeDescription

Example row:

{
  "job_id": "4464465707",
  "title": "Senior Data Engineer",
  "company": "General Motors",
  "company_url": "https://www.linkedin.com/company/general-motors",
  "company_logo": null,
  "location": "Warren, MI",
  "date_posted": "2026-10-04",
  "posted_ago": "7 hours ago",
  "badge": "Actively Hiring",
  "url": "https://www.linkedin.com/jobs/view/senior-data-engineer-at-general-motors-4464465707",
  "search_url": "https://www.linkedin.com/jobs/search?keywords=data+engineer&location=United+States&sortBy=DD",
  "description": "We are looking for a data engineer who...",
  "seniority_level": "Mid-Senior level",
  "employment_type": "Full-time",
  "job_function": "Engineering and Information Technology",
  "industries": "Motor Vehicle Manufacturing",
  "applicants": 171
}

Input

field	what it does
queries	search terms, one per line
locations	optional, a city, region or country per line. Each term is searched in each location
startUrls	optional, LinkedIn job search URLs copied from the browser, with your filters
postedWithin	any (default), 24h, week or month
sort	date (default, newest first) or relevance
jobTypes	optional: full-time, part-time, contract, temporary, internship
workplace	optional: on-site, remote, hybrid
experienceLevels	optional: internship, entry, associate, mid-senior, director, executive
maxJobsPerSearch	cap per search, default 100, max 1,000
maxJobs	hard stop across the run, also your budget cap
includeDescription	adds the description and detail fields, charged per description

Minimal input:

{ "queries": ["data engineer"], "locations": ["United States"] }

New remote jobs of the past 24 hours in three countries, with descriptions:

{ "queries": ["python developer"], "locations": ["Germany", "Netherlands", "United Kingdom"], "postedWithin": "24h", "workplace": ["remote"], "includeDescription": true }

Pricing

Pay per result, two events:

• $0.50 per 1,000 jobs for every job row in the dataset.
• $0.50 per 1,000 descriptions on top, only with includeDescription and only for rows where the description was actually retrieved.

A job with its full description costs $0.001. No start fee. Searches that fail cost nothing. Apify's free monthly credit covers thousands of jobs, so you can evaluate without paying.

Subscriptions and shared agent access

Scored signals from SEC, FDA, Congress and other official filings. The daily output is hashed and anchored, so past signals cannot be edited. Agents call it over MCP. See the track record

Every score in every report lists the terms it was built from, so you can check the number instead of trusting it.

This Actor is part of DataSignals Lab. It does not feed the signal reports. The plans below cover those and the shared MCP access. All prices are listed on the pricing page:

• Free. Report previews, a weekly signal digest and 50 free MCP calls per month for AI agents.
• Snapshot, $19 one time. The current edition of one report plus 30 days of updates.
• DataSignals Pro, $29 per month or $290 per year. All three reports refreshed monthly, MCP access for AI agents (2000 calls per month fair use), email alerts. Cancel anytime.

Who uses this

• Recruiters and staffing agencies tracking which companies hire for a role in a region.
• Sales teams using fresh job posts as a buying signal: a company hiring five SAP consultants has a project.
• Labour market researchers who need a daily count per role and region.
• Job boards and aggregators that want fresh listings with the description.
• AI agents that answer "who is hiring data engineers in Berlin this week" from live data.

Need jobs straight from company career sites instead of a job board? See Job Search API. For other boards see Indeed Jobs Scraper and Stepstone Jobs Scraper.

Limits and honesty

• LinkedIn shows at most 1,000 jobs per search without a login. For more, split the search by location, job type or period.
• There is no separate salary field and no external apply link. LinkedIn does not show those to visitors who are not signed in. A salary appears in the description when the employer wrote it there.
• job_function and seniority_level are empty or "Not Applicable" when the employer did not set them.
• Company pages, people and posts are out of scope. This Actor returns jobs only.
• To track new jobs over time, run it on a schedule with postedWithin set to 24h and de-duplicate on job_id.

Integrations

Works with the Apify API, scheduled runs, webhooks, and the Apify MCP server, so Claude, ChatGPT and other agents can call it as a tool. Export to JSON, CSV, Excel or push into Google Sheets.

Support

Issues tab on this page, or support@datasignalslab.com. Built and maintained by DataSignals Lab.