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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 job search results or full job details by URL: salary · skills & employer data (size · website · industry). Incremental mode skips seen jobs.

Pricing

from $0.27 / 1,000 results

Rating

5.0

(2)

Developer

Black Falcon Data

Actor stats

Bookmarked

291

Total users

105

Monthly active users

6 days ago

Last modified

2026-11-05

Fixed: runs with an employer-size filter, company details or company links no longer fail with "no employer could be read". LinkedIn stopped showing its usual company pages to visitors who are not logged in; employer details (name, size, website) are now read from LinkedIn's public organization page instead, for any company link, including ones with non-Latin or accented names.
Fixed: searching by company link (for example linkedin.com/company/sky) no longer fails when LinkedIn refuses to show the company page. The company is now found through LinkedIn's job search instead, and only when that search confirms it is the exact company you linked, so a company with a similar name is never searched in its place.
Fixed: when LinkedIn briefly refuses a company page, it is now read again (up to three times) before the employer counts as unreadable. Runs with company details or an employer-size filter no longer fail because a few company pages were refused on the first try.

2026-11-04

Fixed: in incremental mode with "Fetch job details" on, new and changed jobs that came after jobs you already had were delivered without their details (description, salary, criteria). Every delivered job now has its details; jobs that could not be read in this run are delivered on the next one. With "Skip reposts" on, a skipped repost no longer holds back a new job behind it.
Fixed: with a maximum cost per run and AI job insights on, the AI share is now sized after the job rows themselves are paid for, so a run no longer overshoots your limit and stops. An AI reply with nothing in it is left empty and not billed. If the AI service stops answering, AI is turned off for the rest of the run instead of slowing every job down.
Fixed: a run that ends on its timeout while AI insights are being added now still delivers that last batch of jobs.
Fixed: job type, experience level, workplace type and salary bounds are now always applied. Before, they were skipped unless "Fetch job details" was on. They now turn it on, as the description filters already did.
Fixed: in incremental mode with a "Date posted" window (for example past 24 hours), jobs that simply aged out of the window are no longer reported as EXPIRED. Removed-job detection is skipped for such runs.
Fixed: a search page that did not load is no longer treated as proof that its jobs were removed, and the last, partly filled results page is no longer lost when a retry of it comes back empty.
Fixed salary parsing: "$90-120K" now reads 90,000-120,000; an amount marked CAD, AUD, NZD, SGD, HKD or MXN (before or after the figure) keeps that currency instead of USD; another amount near the pay (such as a training budget) is no longer taken as the salary; "4.200 € brutto im Monat" reads as monthly.
Fixed: "hybrid work is not available" is no longer read as hybrid, and a mention like "remote customers" no longer marks a job as remote.

2026-11-03

New: "AI job insights" now works without your own LLM API key. Turn it on and leave the key empty to use the built-in AI; each delivered job it enriches is billed as an "AI job insights" event (from 19 November 2026; free until then). Jobs the AI returns nothing for are not billed. With your own key, your provider bills the calls and this event is not charged. Job row pricing is unchanged.
New: optional AI job enrichment. Turn on "AI job enrichment" and add your own LLM API key (DeepSeek, OpenAI, OpenRouter or any OpenAI-compatible endpoint) to get an aiEnrichment block on each job with a description: seniority, skills, responsibilities, remote policy, salary, visa sponsorship and minimum years of experience. The AI calls are billed by your provider; this Actor's pricing is unchanged. Off by default; when off, aiEnrichment is null. If a job's AI call fails, the job is still delivered with aiEnrichment null.

2026-10-21

Fixed: with a small maximum cost per run in incremental mode, the run could spend the whole limit reading every search page before delivering anything, and finished with 0 results. It now stops searching once the limit only covers the new jobs it already has, and delivers them. Removed-job detection is skipped for such a run and resumes on the next run that reads the whole search.
Fixed: a search for a company that has no open jobs right now (no keywords, place or other filters) is now reported as an empty source, not as a failed search. The results and the message you see are unchanged.
Fixed: when your maximum cost per run is used up before the first job can be delivered, the run now says so and tells you to raise the limit. Before, it finished with 0 results and a message blaming an error.

2026-10-17

Fixed: company links with non-English letters (for example linkedin.com/company/laisv%C4%97s-namai, as a browser copies it) are found again. They were reported as links that do not match any LinkedIn company, and the run stopped with nothing to search. A company name with such letters can also be given as a plain slug (laisvės-namai). Company details for those employers load again too.

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.

Company Posts Batch Scraper for LinkedIn | No Cookies

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Extract public posts data in batch from companies including post content, reactions, comments count, and media attachments

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Scrape the LinkedIn Ad Library with no login: competitor ads, creatives, headlines, ad copy and advertisers by keyword, advertiser name, company or payer. Detail mode adds paying entity, CTA, landing page, plus run dates, impressions and targeting for EU ads. Monitoring mode returns only new ads.

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LinkedIn Posts Scraper ✅ NO COOKIES

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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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LinkedIn Posts Scraper

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Scrape public LinkedIn posts from keyword searches, company feeds or exact post URLs. Each post has text, author, likes, comments, media and a comments preview. Works with Apify MCP and the API.

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Werk.nl Scraper [Just 💰$1] — Dutch Government Jobs (UWV)

blackfalcondata/werk-scraper

💰 $1 per 1,000 jobs. Scrape werk.nl (UWV) — the official Dutch government job board with 278K+ vacatures across every sector & region · recruiter contact details · salary ranges. Incremental mode tracks new and changed jobs across scheduled runs.

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Hellowork Job Scraper [Just 💰$1] — France Job Listings

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radeance/keepa-scraper

Extract Amazon product & deals data from Keepa including Price History, Buy Box, BSR & Sales Ranks, Monthly Sales, Offers Ratings, Reviews and more product metadata. Search by ASIN, Amazon/Keepa URL or Keepa Deals URL across 11 marketplaces. Export to JSON, CSV or Excel for research and automation.

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

blackfalcondata/ziprecruiter-job-scraper

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

2026-11-05

2026-11-04

2026-11-03

2026-10-21

2026-10-17

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)

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Werk.nl Scraper [Just 💰$1] — Dutch Government Jobs (UWV)

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Keepa Scraper

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

Changelog

2026-11-05

2026-11-04

2026-11-03

2026-10-21

2026-10-17

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)