LinkedIn Jobs Report: Who's Hiring, Salaries & Applicants

A LinkedIn jobs market report for any role and location: which companies are hiring most, the seniority and job-type mix, how many people are applying, how fresh the postings are, and what the jobs pay where the posting says. Every job and a hiring-leads list of companies come with it as CSV.

Other LinkedIn job scrapers return rows of postings. This one also tells you what the rows mean: one report per search, ready to compare roles and cities side by side.

No login, no cookies, no proxy: it reads LinkedIn's public job search, the same one anyone sees without an account.

What does this do?

For each job title and location you give, it collects the matching jobs, opens each job's public page, and rolls them up:

data engineer · United States · posted in the past week · 100 jobs

 80 companies hiring            13% posted in the last 24 hours
 11% under 25 applicants        46% over 200 applicants
 51 jobs state pay              median $126,500 to $163,700 a year

 top hirers      NinjaOne 2 · Deloitte 2 · Zeta Global 2 · Accenture Federal Services 2 · …
 least crowded   Senior Data Engineer, Zeta Global, Nashville · first 25 applicants
                 Data Engineer III, Deloitte, Arlington · first 25 applicants

Who is it for?

• Recruiters and staffing agencies: find the companies hiring most for a role, straight into a leads list
• Sales teams selling to employers: hiring is a buying signal; the leads file ranks companies by open roles
• Job seekers: see pay ranges and which roles still have few applicants, and apply there first
• HR and compensation teams: benchmark posted salaries and the seniority mix for a role and city
• Analysts and researchers: a repeatable weekly snapshot of a job market

What data do you get?

One report per search:

Field	What it tells you
jobsCollected, companiesHiring	How big the market is right now
topCompanies	The companies with the most openings, with titles, locations and newest posting
postedLast24hPercent, postedLast7dPercent, medianPostingAgeDays	How fresh the postings are
applicantsUnder25Percent, applicantsOver200Percent	How crowded the roles are
lowCompetitionJobs	The ten roles with the fewest applicants, newest first
jobsWithSalary, medianSalaryMin, medianSalaryMax, medianSalaryMid	Posted pay, with its currency and period
seniorityMix, employmentTypeMix, topJobFunctions, topIndustries	What kind of roles these are
topLocations, remoteMentionPercent, activelyHiringPercent	Where, and how actively

Every job (CSV and JSON): title, company and company page, location, posting date, seniority, employment type, job function, industry, applicant count, salary with the exact text it came from, and a link. Hiring leads (CSV): every company, most openings first.

Example: four searches, September 2026

Live runs on 24 September 2026, jobs posted in the past week, 100 per search:

Search	Jobs	Companies	Under 25 applicants	Over 200	Median posted pay
Data engineer, United States	100	80	11%	46%	$126,500 to $163,700 a year (51 jobs)
Registered nurse, United States	100	73	100%	0%	$41 to $59 an hour (29 jobs)
Software engineer, London	100	75	13%	23%	£70,000 to £90,000 a year (20 jobs)
Software engineer, Nairobi	38	15	13%	16%	not stated

The two US rows show why applicant counts matter. Almost half of data engineering jobs had over 200 applicants within days; every single nursing job was still under 25. Nairobi shows the other thing a report catches: only 38 postings in a week, and 17 of them came from one employer.

All four searches: 338 jobs read, no throttling, no failures.

How it works, and what it does not do

• Public search only. It reads what LinkedIn shows without an account: up to about 1,000 jobs per search, newest and most relevant first. Reports describe the jobs collected, not every job on LinkedIn.
• Applicant counts are LinkedIn's own public captions: an exact number up to 200, "over 200" above that, and "among the first 25" for new or quiet postings.
• Salary comes from the job description. LinkedIn's public pages rarely show a pay field, so pay is read from the description when it states a range next to a pay word ("salary", "compensation", "base", "pay range"…). Every job keeps the exact text it came from in salaryText, and $5M Series A-style figures are never counted. Many postings, especially outside the US and UK, state no pay at all.
• Steady, not fast. Each job's page is read at about one request a second, because LinkedIn refuses bursts. 100 jobs with details take about two minutes; switch off "Read each job's page" for a fast cards-only run.
• No personal data. No recruiter, poster or applicant names are collected.

Pricing

$0.03 per search report and $0.002 per job (only when jobs are switched on).

A 100-job search with every job costs $0.23. The four searches above cost $0.80 with all 338 jobs, or $0.12 for the reports alone.

Input

Field	Meaning
Job titles or keywords	What to search; each keyword runs in each location
Locations	Countries, states or cities, as you would type them into LinkedIn
Posted within	Past 24 hours, week, month, or any time
Workplace	On-site, remote, hybrid, or any
Experience levels, Job types	Optional filters, the same as LinkedIn's
Jobs per search	10 to 1,000
Read each job's page	Adds seniority, applicants and pay; off for a fast run
Include full job descriptions	Adds the text of each posting
Also return every job	Adds the jobs and hiring-leads files

Integrations

Reports export to JSON, CSV, Excel and Google Sheets, or feed a CRM or dashboard through the Apify API, webhooks, Make, Zapier and n8n. Schedule it weekly to track who is hiring in your market and how pay moves.