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LinkedIn Job Scraper [Just 💰$0.27] — No Login or Cookies

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LinkedIn job scraper that needs no login or cookies — and the cheapest on the Store at 💰$0.27 per 1,000 jobs. Scrape linkedin.com postings with salary · skills & employer data (size · website · industry). Incremental mode skips jobs you already have.

Pricing

from $0.27 / 1,000 results

Rating

5.0

(2)

Developer

Black Falcon Data

Actor stats

Bookmarked

198

Total users

Monthly active users

8 minutes ago

Last modified

2026-10-15

Fixed: with a Job function filter, a run now keeps reading search pages until it has the number of matching jobs you asked for. Before, it counted every job it saw toward your limit and could finish with few or no results.

2026-10-14

Fixed: the Job function filter now works. LinkedIn does not state a job function on public listings and ignores its own search filter, so jobs are matched by a function inferred from the job title (new jobFunctionInferred field, with jobFunctionSource set to "title"). Job function itself stays empty. Titles that fit none of your chosen functions are dropped. Accepts names (Engineering, Sales, Human Resources, ...) or LinkedIn codes (eng, sale, hr, ...); an unknown value now stops the run with an input error. The filter no longer forces full listing details, so it costs less.
Fixed: Seniority level no longer shows LinkedIn's "Not Applicable" placeholder as if it were a value; it is empty when none is stated.
Fixed: jobs scraped from a pasted job link now include the company logo.
Note: LinkedIn no longer publishes Job function on public listings, so that field is empty.
Fixed: a run using a skip list no longer fails with "all LinkedIn search targets failed" when every job LinkedIn returned was already on your skip list and a later results page did not load. It now finishes normally and reports the jobs as already seen.

2026-10-13

Fixed: job details are read more reliably. When LinkedIn briefly refuses a listing, the unread listings get one more round with extra attempts at the end of the run, instead of being held back or ending a small run with no results. Listings that read normally cost exactly what they did before.

2026-10-12

A run that returns 0 jobs now says why in its status message: no postings for that location or time window, jobs found but all already on your skip list or unchanged since your last run, jobs found but removed by your filters, or a pasted job link that is no longer posted. Each run also stores this as a short RUN_OUTCOME_V1 record in its key-value store.
If a keyword search finds nothing at all, it is now retried once with the keywords spelled without accents or quotation marks (for example Köln becomes Koln). Nothing is added to or removed from your wording. Runs that were empty only because everything was already seen are not retried.

2026-10-11

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: 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, and a range in euros or pounds no longer passes as if it were dollars. 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.
Runs now respect your maximum cost per run from the start: the number of results is sized to what the limit covers before any work is done, instead of the run fetching job details it could not deliver and ending as aborted.
A search that reaches LinkedIn's limit of about 1,000 jobs per search, while you asked for more, now says so in the run log, with how to get the rest.

2026-10-02

Large runs (more than 200 results, or unlimited) now start with 2048 MB of memory instead of 1024 MB and finish about 40% sooner; a 4,000-job run went from about 6 to about 3.5 minutes. Platform usage for such a run rises by roughly 20% and the start fee counts one extra GB. Runs of up to 200 results are unchanged. You can still set the memory yourself, now up to 4096 MB.
Large searches are even less likely to stop early when LinkedIn briefly returns empty pages.

2026-10-01

New data on every job with details: applyType now says whether the job is applied for on LinkedIn (Easy Apply, onsite) or on the employer's site (offsite), with easyApply set to match; applicantCount is filled whenever LinkedIn shows a real number of applicants; and companyLogo is filled from the search results, no company enrichment needed.
Runs that read job details for every result (for example with an industry, job function or salary filter) finish 1-2 minutes sooner on large searches: job details are now read while the searches are still running.
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 a few hundred jobs fewer than the search had. In tests on a 4-search run this restored 48-63 delivered rows.
Runs with several searches finish more reliably and usually faster: searches run side by side, and a search that cannot be completed is now reported in the run log instead of quietly returning fewer jobs.

2026-09-30

Runs with job details or company data finish several times faster, and fewer listings have to be held back for a later run.
Large runs with job details (more than about 1,000 jobs) no longer stop partway through and deliver nothing. Runs now start with 1 GB of memory by default. The run-start fee is unchanged, because it is charged per started GB. Each job with details now also takes about a quarter of the memory it did before, so much larger runs fit.

2026-09-14

A search with an empty Location now covers jobs worldwide, as the Location field says. Before, it only returned jobs in the United States. To keep a US-only search, set Location to "United States".

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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Scrape every post from any LinkedIn profile or company page: post text, media, reactions, comments, shares, reposts, author details, and mentions. No LinkedIn account or cookies needed. Auto-pagination handles full feeds, with batch scraping across many profiles in one run.

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Job Scraper for ZipRecruiter 💰 $0.99/1K — 7 Country Markets

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Scrape ZipRecruiter (ziprecruiter.com) across 7 countries (US, GB, IE, IN, DE, FR, NZ). Salary and benefits data for US, geo-coordinates and job descriptions for all markets. Incremental mode detects new and changed listings, plus lean output for AI agents and MCP workflows.

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LinkedIn Job Scraper [Just 💰$0.27] — No Login or Cookies

Changelog

2026-10-15

2026-10-14

2026-10-13

2026-10-12

2026-10-11

2026-10-02

2026-10-01

2026-09-30

2026-09-14

v0.1.0 (unreleased)

Linkedin Company Details Scraper (No Cookie)