LinkedIn Jobs Scraper — Full Description, Salary, Applicants & Monitor

Every LinkedIn job for your keywords + location, with the fields the cheap scrapers skip. Search cards give you title, company (with LinkedIn company URL and logo), location, posted date, "Actively hiring" badge and clean job URL. Turn on details and each posting is opened for the full description text, seniority level, employment type, job function, industries, base pay range and applicant count ("26 applicants", "Over 200 applicants", "Be among the first 25"). A monitor mode remembers what you have already seen so scheduled runs return — and charge — only new postings. Free company hiring-signal rows rank the companies with the most open roles in your search: a ready-made lead list for recruiters and sales teams.

No login, no cookies, no proxies — public LinkedIn guest endpoints only. $0.80 per 1,000 jobs, $1.60 per 1,000 jobs with full details. Duplicates, monitor repeats, failures and signal rows are never charged.

Who uses this

• Recruiters & staffing agencies — pull every open role for a title/market with salary and applicant competition, refresh daily with monitor mode.
• Sales & lead-gen teams — companies hiring for X are buying tools for X: the company-signal rows hand you accounts ranked by open headcount, with LinkedIn company URLs ready for enrichment.
• Job boards, aggregators & career coaches — structured feeds with full descriptions, not truncated snippets.
• Analysts & AI agents — salary ranges, seniority mix and remote share by market, on a schedule, via API or MCP.

Input

Field	Default	Notes
keywords	data analyst	Anything you would type into LinkedIn job search.
location	United States	City, state, country; empty = worldwide.
locations	[]	New in 0.0.3. Several markets in one run ("Berlin, Germany", "Amsterdam, Netherlands", "Remote"); overrides location, maxJobs per location. Use "City, Country" — bare city names often return nothing on LinkedIn.
distance	0	New in 0.0.3. Radius in miles around the location (LinkedIn distance).
companyIds	[]	New in 0.0.3. Only these companies (LinkedIn numeric IDs, f_C), e.g. 1441 = Google.
titleInclude / titleExclude	[]	New in 0.0.3. Keep / drop by title phrase (all words, whole-word, case-insensitive): ["senior data"], ["intern","director"]. Dropped jobs are never charged.
companyInclude / companyExclude	[]	New in 0.0.3. Keep / drop by company-name substring — e.g. exclude staffing agencies. Never charged.
searchUrls	[]	Advanced: paste linkedin.com/jobs/search?... URLs with UI filters; each is a separate search.
postedWithin	any	1h, 24h, 3d, week, month.
remote	any	remote, hybrid, onsite.
experienceLevels	[]	internship, entry, associate, mid-senior, director, executive.
jobTypes	[]	full-time, part-time, contract, temporary, internship, volunteer, other.
salaryMin	0	USD/year, LinkedIn buckets 40k–200k.
sortBy	relevance	date = most recent first (use with monitor mode).
easyApplyOnly, under10Applicants	false	LinkedIn quick filters.
maxJobs	50	Per search, 10 per page, LinkedIn caps ~1,000.
fetchDetails / maxDetails	true / 50	Open postings for full details (1 extra request each).
maxScan	5 × maxJobs	With a criteria filter set (jobTypes, experienceLevels, remote, easyApplyOnly, under10Applicants, salaryMin), how many jobs may be detail-checked to find maxJobs matches (min 50, max 500). Non-matches are free.
includeDescriptionHtml	false	Keep raw description HTML too.
onlyNew	false	Monitor mode — only postings not seen in earlier runs of this Actor in your account.
companySignals	true	Free roll-up rows (type: company-signal) + key-value record COMPANY_SIGNALS.

Output — job row

Field	Example
jobId, url, originalUrl	4459567722, https://www.linkedin.com/jobs/view/4459567722
title, company, companyUrl, companyLogoUrl	Data Analyst, Erie Home, https://www.linkedin.com/company/erie-home
location, listedAt, listedRelative, isNew, ageHours	Toledo, OH, 2026-09-01, 4 days ago, false, 96
benefits, salaryBadge	Actively Hiring, $80K/yr - $85K/yr (when LinkedIn shows it on the card)
Details (detailed: true)
description, descriptionLength (+ descriptionHtml optional)	full text, 8,192 chars
seniorityLevel, employmentType, jobFunction, industries	Not Applicable, Full-time, Information Technology, Construction
salaryMin, salaryMax, salaryPeriod, salaryCurrency, salaryText	80000, 85000, year, USD, $80,000.00/yr - $85,000.00/yr
applicantsCount, applicantsIsOver, applicantsUnder, applicantsText	200, true, null, Over 200 applicants
isRemote, isHybrid, postedRelative, applyUrl	derived flags; external apply URL when exposed
searchKeywords, searchLocation, searchLabel, scrapedAt	provenance

Base pay range appears on roughly 1 in 10 US postings (only where the employer publishes it on LinkedIn); applicant counts appear on almost all.

Output — company-signal row (free)

type: "company-signal", rank, company, companyUrl, companyLogoUrl, openRoles, shareOfSearch, sampleTitles[], locations[], locationsCount, remoteRoles, newestListedAt, jobFunctions[], seniorityLevels[], maxSalaryYear, searchKeywords, searchLocation.

Example output (one real detailed row, 6 Sep 2026)

{
  "jobId": "4459567722",
  "url": "https://www.linkedin.com/jobs/view/4459567722",
  "title": "Data Analyst",
  "company": "Erie Home",
  "companyUrl": "https://www.linkedin.com/company/erie-home",
  "location": "Toledo, OH",
  "listedAt": "2026-09-01", "listedRelative": "4 days ago", "ageHours": 96,
  "benefits": "Actively Hiring",
  "seniorityLevel": "Not Applicable", "employmentType": "Full-time",
  "jobFunction": "Information Technology", "industries": "Construction",
  "salaryMin": 80000, "salaryMax": 85000, "salaryPeriod": "year", "salaryCurrency": "USD",
  "applicantsCount": 200, "applicantsIsOver": true, "applicantsText": "Over 200 applicants",
  "description": "About Leaf Home\n\nAt Leaf Home, we are powered by people on a single mission…",
  "descriptionLength": 8192, "isRemote": false, "detailed": true
}

Default input (50 jobs, all detailed) costs $0.08 and finishes in about 30 seconds.

Pricing

Event	Price
Job (search card)	$0.0008 ($0.80 / 1,000)
Job with full details	$0.0016 ($1.60 / 1,000) — replaces the job fee for that row
Actor start	$0.001

Platform usage is included. Duplicates across pages/searches, monitor-mode repeats, postings that fail to load and company-signal rows are never charged; a failed detail fetch falls back to the plain job fee.

Monitor jobs on a schedule

Set sortBy: "date", postedWithin: "24h", onlyNew: true and schedule the Actor hourly or daily (Console → Schedules). Each run outputs only postings that are new since the previous run — wire the dataset to Slack, email, Google Sheets, Airtable or a webhook via Integrations for real-time job alerts or hiring-signal alerts on target accounts (companySignals rows tell you which accounts just opened roles).

API & AI agents (MCP)

curl -X POST "https://api.apify.com/v2/acts/tactful_anvil~linkedin-jobs-full-details-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords":"account executive","location":"New York","postedWithin":"week","remote":"remote","maxJobs":100,"maxDetails":100}'

Works with the Apify MCP server (https://mcp.apify.com) — add the Actor to Claude, Cursor, ChatGPT or your own agent and ask "which companies in Austin posted the most data engineering roles this week, with salary ranges?". Python: ApifyClient(token).actor("tactful_anvil/linkedin-jobs-full-details-scraper").call(run_input={...}).

Why this Actor

• Full details at a fair price — description, criteria, salary and applicants for $1.60/1k; cards only for $0.80/1k.
• Monitor mode built in — dedupe across runs in your own key-value store, no re-charging for the same posting.
• Hiring signals for free — company roll-up rows turn a job search into an account list.
• Fast & robust — ~0.3 s per page, ~0.5 s per detail, retries with back-off, fail-loud if LinkedIn changes its layout (no silent empty datasets).

Related Actors

• Ad Budget Signals — do these companies run ads? Pair with hiring signals for account scoring.
• Contact Details Scraper — emails, phones and socials from company websites.
• Bulk Email Verifier — verify the addresses before outreach.
• Brand Ads Cross-Network Spy — what your target accounts advertise on Google and LinkedIn.

Found this useful? Bookmark & review

A bookmark or short review helps other recruiters and sales teams find this Actor — and tells me what to add next (company size, recruiter name, skills extraction?). Issues tab is open; I answer within 24 h.

Changelog

• 0.1.2 (19 Sep 2026) — Fix onlyNew memory across runs. The seen/previous-run memory was stored in the run's default key-value store, which is per-run on the Apify platform, so onlyNew silently returned the full result on every run. It now lives in a named store in your account, so scheduled runs return only what changed. No field, default or price changed.
• 0.1.1 (16 Sep 2026) — Reliability: V8 heap capped at 70 % of run memory so garbage is collected before the container limit (prevents out-of-memory kills on big pages). No output change.
• 0.0.4 (13 Sep 2026) — Criteria filters now fill up to maxJobs. Because jobTypes / experienceLevels / remote / easyApplyOnly / under10Applicants / salaryMin live on the detail page, the old flow scanned only the first maxJobs cards and then filtered — a contract-only search on a 20-job page could return 0 rows. The scraper now keeps paging and detail-checking (up to maxScan, default 5 × maxJobs, min 50, max 500) until maxJobs matching jobs are found. Non-matching jobs are never charged; only the first maxDetails delivered rows are billed as detailed. New optional input maxScan; no existing field or default changed.
• 0.0.3 (11 Sep 2026) — Filters made real again. LinkedIn's public search started ignoring jobTypes, experienceLevels, remote, salaryMin and sortBy: date server-side (identical results whatever you set — verified). They are now enforced on each job's detail criteria after enrichment (filterMatch on every row shows what matched; unknown criteria are kept), date sorts by listedAt, and removed rows are never charged. postedWithin, easyApplyOnly and under10Applicants still work server-side.
• 0.0.3 (8 Sep 2026) — billing hardening: a charging hiccup can no longer abort a run that already returned jobs (rows are delivered either way).
• 0.0.3 (8 Sep 2026) — multi-location runs (locations), distance, companyIds (f_C), post-filters titleInclude / titleExclude / companyInclude / companyExclude (filtered jobs never charged), clearer log when LinkedIn returns nothing for a bare city name. No existing field changed.
• 0.1 (6 Sep 2026) — launch: guest search with all LinkedIn filters, pagination to 1,000, full detail pages, salary + applicants parsing, monitor mode, company hiring-signal rows.