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LinkedIn Salary Scraper [💰$0.50/benchmark] — Pay by Job & City

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One row per job title and location: pay percentiles, sample size and confidence, built from the pay ranges employers state on LinkedIn postings. Strongest in US pay-transparency states and the UK. No login. 💰 $0.50 per benchmark.

Pricing

from $0.27 / 1,000 results

Rating

0.0

(0)

Developer

Black Falcon Data

Actor stats

Bookmarked

Total users

Monthly active users

14 days ago

Last modified

Unreleased

Changed: if a run cannot release its hold on the saved state at the end, the log now shows a short notice instead of a raw error.
Fixed: a brief network error or timeout on a LinkedIn page is now retried instead of ending that search early, so fewer runs come back short.
Fixed: when none of the company links or region codes you gave could be matched, the run searched all of LinkedIn and delivered jobs from everywhere. It now stops with a clear message saying which input to correct. When only some are lost, the run says how many and carries on with the rest.
Fixed: a search or benchmark with no location ("Anywhere") returned US jobs only. It now covers every country.
Fixed: Salary min and Salary max now compare like for like. Each job's range is turned into a yearly amount (hourly x 2080, daily x 260, weekly x 52, monthly x 12) and compared in USD, so a $60/hour job is no longer dropped by a $100,000 minimum. A range in another currency or without a pay period cannot be compared: it follows Include jobs without salary, and the new salaryBoundCheck field says how each job compared. The bounds also now actually filter: they used to be applied before the job's salary had been read.
New on benchmark rows: incomplete and failedPages say when part of a benchmark's search went unanswered, and rangesWithoutCurrencyOrPeriod counts pay figures left out because they had no currency or pay period.
When a search reaches LinkedIn's limit of about 1,000 jobs and you asked for more, the run now says so and how to get more.
Changed: the proxy picker is gone from the input form. The actor chooses its own connection, so proxy group, residential and country settings in saved inputs are now ignored, and those runs keep working. Your own proxy URLs (proxyConfiguration.proxyUrls) are still used exactly as before. No field or result data is removed.

2026-10-03

Pricing: a published salary benchmark costs $0.50 (one row per job title and location). Benchmarks with too few pay ranges to publish are not charged. Job rows, when you turn on includeJobs, stay at $0.27 per 1,000.
Benchmarks are now rows in the results: one row per job title and location, instead of a record you had to look for. Each row carries a confidence grade (high/medium/low), the share of postings that state a pay range, the number of employers behind it, the mean, lowest and highest figures, the employers with the most ranges, the most-mentioned skills, the remote share, the posting dates covered, and up to 10 example postings to check the figures against. Seniority falls back to the job title when LinkedIn does not state it.
The same employer posting the same role with the same range in several places now counts once, so one large employer no longer drags the figures toward its own range.
New minSampleSize (default 10): a benchmark with fewer distinct pay ranges is reported with its counts and no figures, and is not charged. New includeJobs (off by default): also deliver the postings behind the benchmarks.
New: salary benchmark. Give job titles and locations, and the run reads the postings for each pair and reports the pay ranges employers state on them: sample size, annualised percentiles (p10 to p90), the median low and high end of the range, the main currency, and how many ranges came from LinkedIn's salary field versus the posting text. The report is in the run's key-value store (record BENCHMARK); every job row says which benchmark it belongs to (benchmarkCohorts).
A run with only benchmark titles (no keyword or location) now starts the benchmark instead of exiting with "nothing to scrape", and benchmark runs start with 1024 MB of memory.
Salary source is now reported correctly: salarySource is linkedin_field when LinkedIn's own salary field supplied the range and description_extract when the posting text did (it was always the latter), and salaryIsPredicted is filled.

2026-10-02

Large searches return all their jobs again: some LinkedIn result pages were read one job short, and a short page ended the search. A US "Sales Manager" search over the last 7 days stopped at 89 jobs of about 1,000.
Large searches no longer stop early: a page LinkedIn sometimes returns empty in the middle of a search used to end it, so runs could return hundreds of jobs fewer than the search had.
Runs with job details finish several times faster, and fewer listings have to be held back for a later run.
New data on every job with details: applyType says whether the job is applied for on LinkedIn (Easy Apply) or on the employer's site, with easyApply set to match; applicantCount is filled whenever LinkedIn shows a real number, and no longer reads "Be among the first 25" as 25; companyLogo comes from the search results.
Memory: runs of up to 200 results start with 512 MB (was 256 MB); larger or unlimited runs start with 1024 MB so they finish faster. You can set up to 4096 MB yourself.

v0.1.0 (unreleased)

Added company enrichment (scrapeCompany): company description, website, employee count, logo, and address from the public company page — guest-side, no cookies, fetched once per unique company.
Added salary extraction from job descriptions (salaryMin/salaryMax/salaryCurrency/salaryPeriod, source description_extract).
Reliability: the scraper now fails visibly on LinkedIn markup drift instead of returning an empty "success" run.
Onboarding: lead with free-text Location (LinkedIn resolves it server-side); geoIds demoted to an advanced override.
Rebranded store title to "LinkedIn Job Scraper 💰 $0.27/1K" (head-keyword first for Store search) and dropped per-result price from $0.001 to $0.00027 ($0.27 per 1,000 results); run-start fee unchanged at $0.0005.
Initial LinkedIn Job Monitor release.
Added public LinkedIn jobs search, detail enrichment, related-jobs expansion, paste-mode start URLs, region presets, Easy Apply, company, salary, exclusion, and agency filters.
Added incremental state with NEW/UPDATED/UNCHANGED/EXPIRED/REAPPEARED classification, repost detection, state locking, outputMode, and delta-pricing-safe description truncation.
Added notifications for Telegram, Discord, Slack, WhatsApp Cloud API, and generic webhooks.
Added clean output guardrails, compact mode, deterministic skills, aiSummary, phone/email/URL extraction, ISO-2 country normalization, and no-login/no-cookie HTTP scraping.
Added diagnostics, leak-safe user errors, README/profile positioning, benchmark config, field coverage docs, and focused test coverage.

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curious_coder/linkedin-jobs-scraper

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Scrape public LinkedIn job postings by keyword, location or search URL, no login and no API key. Get title, company, logo, salary, seniority, employment type, job function, industries, applicant count, apply link and full description. Filter by date, remote, experience. Export JSON, CSV, Excel.

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orgupdate/linkedin-jobs-scraper

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Scrape remotive.com — curated remote-job board with structured salary data across every role · date-range filtering for fresh postings · a single run that needs no account or login. Incremental mode tracks new and changed jobs across scheduled runs.

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Scrape LinkedIn job listings with AI-powered salary estimation. Extract job titles, companies, locations, descriptions, and get estimated salary ranges using OpenAI. Filter by search term, location, or specific company IDs.

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perfectscrape/premium-linkedin-jobs-scraper

A powerful and super fast LinkedIn jobs scraper. Extract 30+ fields like job title, salary, applicants, company and descriptions. Uses HTTPS requests, not a browser faster and safer scraping. Just add a search URL and your LinkedIn cookies. Fast, smooth scraping - get LinkedIn data in seconds.

Sadnan

LinkedIn Salary Scraper [💰$0.50/benchmark] — Pay by Job & City

Changelog

Unreleased

2026-10-03

2026-10-02