LinkedIn Jobs Search

Search LinkedIn jobs by keywords (several at once), location (several at once) and posting time, or paste LinkedIn job search URLs, job URLs (one row per job) or company pages (that company's jobs). Every job comes with its description, job type, seniority level, industry, LinkedIn's applicants line, Easy Apply flag, company id, company logo and the search URL it came from; the pay range (with currency, from LinkedIn's pay box, the description or the title), benefits and job poster (name, headline, LinkedIn profile) come when LinkedIn shows them. Turn on company details for each company's website, industry, size, employees, followers, headquarters address, specialties, offices and recent posts. Filter by title words, company (or companies to leave out), job type, experience level, staffing agencies, Easy Apply, under 10 applicants and distance, keep only jobs with pay or a job poster (when LinkedIn shows them), and skip jobs you already have. Most relevant first, like LinkedIn's own search, or newest first past LinkedIn's 1,000-result limit.

💼 Title	🏢 Company	📍 Location	🕒 Job Type	🏭 Industry	🎓 Level	📅 Posted
Senior Software Development Engineer, AWS IAM Data Plane	Amazon Web Services (AWS)	Denver, CO	Full-time	IT Services and IT Consulting	Mid-Senior level	2026-10-01T14:19:00Z
Senior Software Engineer - Python	Venmo	Austin, TX	Full-time	Financial Services	Not Applicable	2026-10-01T10:19:00Z
Software Development Engineer, AWS IAM Distributed Database System	Amazon Web Services (AWS)	Seattle, WA	Full-time	IT Services and IT Consulting	Mid-Senior level	2026-10-01T18:19:00Z

$0.35 per 1,000 jobs with details on the Starter plan ($0.39 Free, $0.31 Scale, $0.27 Business), or $0.25 per 1,000 for search cards only ($0.29 Free, $0.21 Scale, $0.17 Business). The prefilled run (100 jobs with details) costs about $0.035. Company details are an optional add-on: $0.07 per 1,000 jobs on every plan.

No LinkedIn account, no cookies, no login.

Why this one

• Job posters. When LinkedIn shows who posted a job ("Direct message the job poster"), you get their name, headline and LinkedIn profile, and those jobs also land in a separate 🧑‍💼 Job Posters dataset: a ready list of recruiters and hiring managers who are hiring right now. LinkedIn shows a job poster on some jobs: 39 of 1,000 in our 2026-10-01 past-week run, 4 to 15 of 100 in our prefilled runs that day.
• Details included. Description, job type, seniority level, industries, LinkedIn's applicants line ("Be among the first 25 applicants", "57 applicants", "Over 200 applicants"), Easy Apply and the company id for every job whose page loads. The level is read from the job's own page: a real level (Entry level, Mid-Senior level, ...) on 87% of the jobs in the prefilled run above. LinkedIn's job panel, which other LinkedIn job scrapers read, says "Not Applicable" far more often: other LinkedIn jobs Actors gave a real level on 27-38% of the jobs in nine of their runs we saved on 2026-10-01 (US searches). Plus what only some jobs show: the pay range (LinkedIn's pay box, else a range written in the description or stated in the title: 46% in the prefilled run above, 39% in the one before it on 2026-10-01; 8-14% from the pay box alone; since build 0.3.44 it also reads ranges written as "142,800.00 - 193,200.00 USD annually", Amazon's form, which takes the prefilled run's 100 jobs from 46% to 85% with pay), benefits (a few %) and the job poster. One price per job. Need only the search cards? Turn details off for a lower price.
• Company details, when you want them. Turn on includeCompanyDetails and each job with a LinkedIn company page also gets its company's website, industry, size, employees on LinkedIn, followers, headquarters, type, About text and company id (year founded when the page gives it), read from the company's LinkedIn page once per run. It's an add-on you pay only for jobs whose company page was read, and a 🏢 Companies view lays them out for lead lists.
• Past the 1,000-result limit. LinkedIn's job search stops at 1,000 results for any query. For searches with a time period, this Actor goes on past it, so you can get more than 1,000 jobs: in the default Most relevant order, LinkedIn's best 1,000 matches come first and then the newest of the rest, window by window; with Newest first, the newest jobs window by window from the start. The summary tells you how far back every job is included.
• Every filter LinkedIn still honours, plus the ones it doesn't. Company (by name or id), Easy Apply only, under 10 applicants and distance around a city go to LinkedIn. Job type, experience level, "shows pay", "names a job poster" and "no staffing agencies" are read from each job's own page, because LinkedIn's logged-out search ignores them; jobs they leave out aren't charged. Title must / must not include, companies to leave out and job ids to skip work on the search cards, so skipped jobs cost nothing. Several keywords times several locations, or any number of LinkedIn job search URLs, each run as its own search; a job that two searches find comes once, and searchUrl says which search found it.
• Paste jobs or companies. Job URLs (linkedin.com/jobs/view/...) or job ids give one row per job with its details, in the order you pasted them; a job that's no longer on LinkedIn is skipped and not charged. Company pages (linkedin.com/company/microsoft/) give that company's jobs anywhere in the world, newest first, read by its LinkedIn company id. Each row's searchUrl is the URL you pasted.
• Most relevant or newest first. By default jobs come in LinkedIn's own order for your keywords, its best matches first (on "data analyst", US, past 24 hours: 98 of 100 titles named an analyst, 2026-10-01). Pick Newest first for alerts and job feeds: rows sorted by posting time, which comes from LinkedIn's "12 minutes ago" / "4 hours ago", so it's exact to the minute for jobs under an hour old and to the hour for jobs under a day old.
• Fair price, wide rows. $0.35 per 1,000 jobs with details on Starter, no start fee: under the leading LinkedIn jobs Actors on the Store on every plan (checked 2026-10-01). 43 fields per job with details (62 with company details), from pay currency and benefits to the company's address, offices and recent posts.
• Honest coverage. Every run saves a summary (OUTPUT) with LinkedIn's own result count, how many jobs you got, and why the run stopped. A run that gets no jobs because LinkedIn refused it, or loses most job details, fails with a clear message instead of passing as a success.
• Fast and light. Plain HTTP requests, no browser. The prefilled run (100 jobs with details) took 8.2-12.2 seconds in three runs on 2026-10-01, the first job reaching the dataset 4.3-6.8 seconds after the start; 1,000 jobs with details took 57 seconds (2026-10-01).

Input

Field	What it does	Default
keywords	Job title, skill or company, as you'd type it on LinkedIn. Empty = all jobs in the location.	–
location	Country, state or city, e.g. United States, Texas, United States, London, England, United Kingdom.	United States
postedWithin	pastHour, past24Hours, pastWeek, pastMonth or anyTime.	past24Hours
maxResults	Stop after this many jobs per search. You pay per job.	100
sortBy	relevance: LinkedIn's own order for your keywords, best matches first (up to LinkedIn's 1,000 per search; past that the newest of the rest). newest: newest jobs first, window by window past the 1,000 limit; LinkedIn matches keywords more loosely there. Without keywords, jobs always come newest first.	relevance
titleIncludes, titleExcludes	Keep only titles naming one of these words or phrases / leave out titles naming any of them (whole words, any case). Not charged.	–
excludeCompanies	Leave out jobs from these companies (name as LinkedIn shows it, any case, or the company's LinkedIn URL name). Not charged.	–
employmentTypes	Keep only Full-time, Part-time, Contract, Temporary, Internship, Volunteer or Other jobs, read from each job's page (LinkedIn's logged-out search ignores this filter). Jobs left out aren't charged, but the run reads their pages, so it takes longer.	–
experienceLevels	Keep only Internship, Entry level, Associate, Mid-Senior level, Director, Executive or Not Applicable jobs, read from each job's page like employmentTypes.	–
requireSalary, requireJobPoster, excludeStaffingAgencies	Keep only jobs that show a pay range / name a job poster, or leave out jobs whose industry is Staffing and Recruiting. Read from each job's page; jobs left out aren't charged.	off
includeDetails	Open each job for its description, job type, industries and Easy Apply, plus seniority, applicants, pay range, benefits and job poster when LinkedIn shows them. Off = search-card fields only, faster and at the lower card price (see Pricing).	on
includeCompanyDetails	Also open each company's LinkedIn page: website, industry, size, employees on LinkedIn, followers, headquarters (and its street address), type, year founded, slogan, specialties, About text, office locations, affiliated pages, the 5 newest posts and company id. Add-on, $0.07 per 1,000 jobs (see Pricing).	off
easyApply	Filter: only jobs you can apply to with LinkedIn Easy Apply.	off
under10Applicants	Filter: only jobs with fewer than 10 applicants so far.	off
companies	Filter: only these companies. Company names as LinkedIn spells them (Google, Randstad USA), LinkedIn company ids (the f_C number in a LinkedIn jobs URL) or company page URLs. Searched with your keywords and location. A name LinkedIn doesn't know is skipped and named in the run's status.	–
distance	Filter: miles around the location (a city works best), e.g. 25.	–
moreKeywords, moreLocations	More keywords and places: each keyword is searched in each place as its own search (Max results applies to each, up to 100 searches).	–
searchUrls	Paste LinkedIn job search URLs (search on linkedin.com/jobs, then copy the address). Each URL is its own search with its own keywords, place, period and filters; the fields above are then not used. LinkedIn's logged-out search doesn't apply job type, experience level or remote/on-site filters, so those parts of a URL are left out (the log says so).	–
companyUrls	Paste LinkedIn company page URLs (https://www.linkedin.com/company/microsoft/). Each company's jobs anywhere in the world, listed in the postedWithin period (pick anyTime for every open job, up to LinkedIn's 1,000), newest first; maxResults applies to each company. keywords, location, companies, moreKeywords and moreLocations are then not used. A page that doesn't load is skipped and named in the run's status.	–
jobUrls	Paste LinkedIn job URLs (https://www.linkedin.com/jobs/view/...) or job ids: one row per job, read from its page, in the order given, charged as a job with details (details are turned on for the run). A job that's no longer on LinkedIn, or whose page didn't load after retries, is skipped and not charged (OUTPUT.jobUrls counts them). The search fields aren't used, and the filters don't apply to these jobs.	–
matchKeywords	Advanced: skills or words to look for in each job's title and description, e.g. Python, React | ReactJS (a | separates spellings of the same skill). Adds matchedKeywords, unmatchedKeywords and keywordMatchScore (% found) to every row. No extra charge.	–
skipJobIds	Advanced: job ids (or job URLs) you already have, e.g. an earlier run's jobId column. Skipped and not charged: handy for scheduled runs that should bring only new jobs.	–
includeHtml	Advanced: also return the description with LinkedIn's formatting (descriptionHtml).	off
geoId	Advanced: LinkedIn's numeric location id (from a LinkedIn jobs URL). Overrides location.	–
proxyConfiguration	Advanced: leave as is. Apify's automatic (datacenter) proxies, with US residential proxies used only to retry a request LinkedIn refused. If you pick Apify residential, the run still starts on datacenter and uses your residential setup for the retries; any other group or your own proxy URLs are used as given.	Apify automatic

Example:

{
  "keywords": "software engineer",
  "location": "Texas, United States",
  "postedWithin": "past24Hours",
  "maxResults": 500
}

Output

Two datasets:

• 💼 All Jobs (default), one row per job. Views: 📊 Overview (🖼️ Logo, 💼 Title, 🏢 Company, 📍 Location, 💰 Salary, 🕒 Job Type, 🧑‍💼 Job Poster, 📅 Posted, 🔗 LinkedIn, 🌐 Company Page), 📝 Details (💼 Title, 🏢 Company, 🎓 Level, 🕒 Job Type, 🏭 Industries, 💰 Salary, ✅ Easy Apply, 👥 Applicants, 📝 Description, 🔗 LinkedIn). With company details on, 🏢 Companies (company details on) (🖼️ Logo, 🏢 Company, 🌍 Website, 🏭 Industry, 📏 Size, 👥 Employees, 📣 Followers, 🏙️ Headquarters, 💼 Title, 🔗 LinkedIn). Salary numbers (salaryMin, salaryMax, salaryPeriod) and applicants are in every row and in exports.
• 🧑‍💼 Job Posters: the same rows, only the jobs that show their job poster (about 4% of jobs in our 2026-10-01 run), in the same order, at no extra charge. View: 🖼️ Logo, 🧑‍💼 Job Poster, 🏷️ Poster Title, 👤 Profile, 💼 Title, 🏢 Company, 📍 Location, 📅 Posted, 🔗 LinkedIn.

Fields, in row order (empty = null):

Field	Example
companyLogo	https://media.licdn.com/dms/image/v2/.../company-logo_100_100/... (doesn't expire)
title	Director Of Finance - Hybrid 1 day
company	Randstad USA
location	West Chester, PA
salary	$165,000 - $210,000 per year: LinkedIn's pay box, else a range written in the description, else pay stated in the title (46% of the jobs in the prefilled run above, 39% in the one before it; 8-14% from the pay box alone)
salaryMin, salaryMax	165000, 210000 (numbers, per salaryPeriod)
salaryPeriod	year, month, week, day or hour
salaryCurrency	USD, CAD, GBP, EUR, ...: from the pay range's symbol and the job's country
salarySource	employer when LinkedIn's pay box says the company provided the range, linkedin for LinkedIn's own estimate, description when the range was written in the job description, title when the title states it (travel-nursing posts like "Travel ICU RN - $1,593 per week")
employmentType	Full-time, Contract, Part-time, Internship
seniority	Entry level, Associate, Mid-Senior level, Director, from the job's own page; Not Applicable when the employer gave no level (13% of jobs in the prefilled run)
workplaceType	Remote, Hybrid or On-site when the job's title or location says so (LinkedIn's logged-out pages don't show the workplace filter's value); else empty
applicants	43; 200 for "Over 200 applicants"; empty for "Be among the first 25 applicants" (a number on 51% of jobs in the prefilled run)
applicantsText	LinkedIn's applicants line as shown: Be among the first 25 applicants, 57 applicants, Over 200 applicants
isEasyApply	true: LinkedIn Easy Apply; false: apply on the company's site (closed jobs included)
applyUrl	Easy Apply jobs: where to apply, their LinkedIn page. Empty for jobs that apply on the company's site: LinkedIn doesn't show that link to logged-out visitors
postedAt	2026-09-27T18:13:00Z: UTC time for jobs under a day old, worked out from LinkedIn's "46 minutes ago" / "4 hours ago" (so exact to the minute under an hour, to the hour under a day); else the date (2026-09-25)
postedTimeAgo	4 hours ago: LinkedIn's own wording
isReposted	true when LinkedIn labels the job "Reposted". LinkedIn rarely shows that label logged out (none of the 1,000 jobs in our 2026-10-01 run), so expect false
jobState	open, or closed when LinkedIn says it's no longer accepting applications
jobUrl	https://www.linkedin.com/jobs/view/director-of-finance-hybrid-1-day-at-randstad-usa-4469785573
companyUrl	https://www.linkedin.com/company/randstadusa; empty when the company has no LinkedIn page
companyWebsite	Only with includeCompanyDetails (examples from Kaiser Permanente's page): http://kp.org
companyIndustry	Hospitals and Health Care
companySize	10,001+ employees (LinkedIn's range)
companyEmployeesOnLinkedIn	139271: people on LinkedIn who list the company as their employer
companyFollowers	1129824
companyHeadquarters	Oakland, California
companyType	Nonprofit, Public Company, Privately Held, ...
companyFounded	1945, when the company gives it
companySlogan	The company's tagline on LinkedIn, when it has one
companySpecialties	["Cars", "Trucks", "Manufacturing", ...] (General Motors)
companyDescription	The company's About text on LinkedIn
companyStreetAddress, companyCity, companyRegion, companyPostalCode, companyCountry	The main location's address, e.g. 100 Renaissance Center, Detroit, Michigan, 48243, US (General Motors' page)
companyOfficeLocations	Every location on the company page, main one first: ["100 Renaissance Center Detroit, Michigan 48243, US", ...]
companyAffiliatedPages	[{"name": "Chevrolet", "url": "https://www.linkedin.com/company/chevrolet"}, ...]: subsidiaries and brands (General Motors)
companyRecentPosts	The company's 5 newest LinkedIn posts: [{"postedAt", "text", "likes", "url"}]
jobPosterName	Name of the person who posted the job, when LinkedIn shows it
jobPosterTitle	Their LinkedIn headline, e.g. Talent Acquisition Partner at Example Co (made-up example)
jobPosterUrl	https://www.linkedin.com/in/...
jobPosterPhoto	Their LinkedIn photo, when LinkedIn shows it logged out (rare)
industries	Staffing and Recruiting
benefits	["Medical insurance", "401(k)"]: the benefits the job lists on LinkedIn (a few % of jobs)
jobInsights	["Be an early applicant"]: the search card's badges
yearsOfExperience	3 for "3+ years of experience" in the description, when it says (the employer's own history, like "our over 15 years of experience", doesn't count)
contactEmail	The first email address written in the description
descriptionSnippet	We are conducting a confidential search for a Dire… (first 50 characters)
description	Full description as plain text: a line per paragraph, • list items
descriptionHtml	Only with includeHtml: the description with LinkedIn's formatting
locationCity, locationState, locationCountry	The job location split up: Orlando, Florida, United States (only the parts the location names)
jobId	4469785573
companyId	1550: LinkedIn's company id (the f_C value in LinkedIn job URLs), from the job's page (or the company page with includeCompanyDetails)
searchKeywords	data analyst (empty when you searched all jobs)
searchLocation	United States (or the geoId you gave)
searchUrl	The search this job came from: the URL you pasted, or your form search as a LinkedIn address, e.g. https://www.linkedin.com/jobs/search?keywords=data+analyst&location=United+States&f_TPR=r86400
scrapedAt	2026-09-27T18:59:47Z

With includeDetails off, rows have only companyLogo, title, company, location, workplaceType, postedAt, postedTimeAgo, jobUrl, companyUrl, jobInsights, locationCity, locationState, locationCountry, jobId, searchKeywords, searchLocation, searchUrl and scrapedAt (plus the company fields and companyId when includeCompanyDetails is on). With matchKeywords, matchedKeywords, unmatchedKeywords and keywordMatchScore come right before descriptionSnippet. With includeCompanyDetails off, the company fields aren't in the rows at all. The company fields are empty for a job without a LinkedIn company page.

LinkedIn doesn't show the company's own application link or its "verified" badge to logged-out visitors (we checked the job page, its mobile and Googlebot versions, LinkedIn's country sites and a US home IP on 2026-10-01), so they aren't included; isEasyApply says whether the job takes LinkedIn Easy Apply or sends you to the company's site, and jobUrl opens the job on LinkedIn.

Run summary (OUTPUT)

{
  "results": 200,
  "totalEstimate": 2000,
  "totalIsLowerBound": true,
  "stopReason": "maxResults",
  "complete": false,
  "newestCompleteSeconds": null,
  "resolvedGeoId": "103644278",
  "withJobPoster": 18,
  "withSalary": 14,
  "detailsOk": 200,
  "detailsFailed": 0,
  "detailsRefused": false
}

With several searches (more keywords or locations, or search URLs), the summary adds searches (each search with its own results, stopReason and LinkedIn count), duplicates (jobs a later search found again, delivered once) and takes the least complete stopReason. unresolvedCompanies lists company names (and company pages) LinkedIn didn't know. With jobUrls, jobUrls in the summary counts the URLs given, delivered, no longer on LinkedIn (notFound) and not loaded (failed).

stopReason is one of:

• complete: you got every job LinkedIn lists for the search: the jobs read match LinkedIn's count and no page was left unread.
• maxResults: you asked for fewer jobs than there are.
• cap: the search holds more jobs than LinkedIn will serve. Older jobs are covered as far as LinkedIn allows. newestCompleteSeconds says how much of the newest part is complete: every job listed since newestCompleteSince is included. It's empty when no part could be confirmed complete, and always empty for anyTime, where LinkedIn serves its own top 1,000 rather than the newest. To get more, narrow the search (a state instead of a country, more specific keywords) or use a shorter period and run it on a schedule.
• incomplete: some pages didn't load after several retries on other IPs, or the jobs read fell short of LinkedIn's count; the rest was delivered.
• requestBudget: the run hit its request limit (it scales with maxResults); the jobs found so far were delivered.
• emitStopped: your spending limit for the run was reached.
• timeLimit: the run was about to reach its timeout (Run options), so it stopped reading new pages shortly before it (90 seconds on a normal timeout, a quarter of the time on a short one) and ended cleanly: every job found until then is in the dataset and charged, and the run counts as succeeded. Give it a longer timeout or lower maxResults to get more.

detailsFailed counts jobs whose details didn't load after retries on other IPs (their detail fields are empty); detailsGone counts postings LinkedIn took down between the search and the detail request. With company details on, companiesOk, companiesFailed and companiesGone count company pages the same way, companiesWithoutAbout counts pages that loaded without their About facts (those jobs keep what was read and don't pay the company add-on), and withCompanyDetails counts the jobs delivered with the add-on. timeLimit is soft or hard when the run stopped before its timeout. requestsByProxy shows how many requests went out on datacenter and how many retries on residential proxies. A request goes to residential only after three datacenter IPs refused it, and only while the run's jobs pay for it (a run never costs more than it earns); residential shows their cost, what the run netted (earnedNetUsd, at your plan's price) and its other costs, and keptOnDatacenter, the retries that stayed on datacenter because the jobs couldn't pay for them (the status message says so too).

A run that ends with 0 jobs fails, unless LinkedIn confirmed on two IPs that the search has no jobs (then it's complete). A run with details on where more than half of the job pages didn't load also fails (detailsRefused: true), with a message saying so: its jobs are still in the dataset, charged the job-card price (no details add-on). The same goes for company details (companiesRefused: true; no company add-on for those jobs).

How far past 1,000 can it go?

It depends on how big the search is. In our 2026-09-26 test, "python developer" in the United States over the past 24 hours (LinkedIn showed "3,000+") returned 1,100 unique jobs, with the newest ~5 hours complete (811 of the 814 jobs LinkedIn counted for them). In our simulations, a search with ~6,000 matches returns ~2,300 jobs and one with ~30,000 returns ~3,400; for huge searches (all jobs in a country for a month) narrow the location or keywords, or schedule a pastHour / past24Hours run.

Tip: job feeds. Schedule the Actor every hour with postedWithin: pastHour (or daily with past24Hours) to collect almost every new job in your niche as it's listed. Each run covers the last ~59 minutes (a little under the period), so jobs listed in the short gap between two runs, plus any delay in the scheduled start, can be missed. Runs don't remember each other, so a run with a longer period than the schedule returns some jobs again; dedupe on jobId.

Pricing

Pay per job, no start fee and no minimum. Example: 1,000 jobs with details cost $0.35 on Starter; the prefilled run (100 jobs) costs about $0.035.

Your Apify plan	Job with details, per 1,000	Job card only (includeDetails off), per 1,000
Free	$0.39	$0.29
Starter	$0.35	$0.25
Scale	$0.31	$0.21
Business	$0.27	$0.17

Platinum and Diamond plans pay the Business prices.

Every job in your dataset is charged the job-card price (the Job event). A job whose page was read also pays the Job details add-on, $0.10 per 1,000 on every plan, whether or not LinkedIn showed a pay range or a job poster on it. So a job with details costs the two together, as in the table. When details are on but a job page couldn't be read (the posting was taken down, or it didn't load after retries; its detail fields are empty and OUTPUT.detailsFailed / detailsGone count them), that job pays only the card price. A row from a pasted job URL is a job with details (both events); a job URL whose page didn't load isn't delivered or charged. Company details (includeCompanyDetails, off by default) are a second add-on, the Company details event: $0.07 per 1,000 jobs on every plan, charged only for jobs whose company page was read and showed its About facts. A job without a company page, or whose company page didn't load, doesn't pay it. For example, 1,000 jobs with details and company details cost $0.42 on Starter. The 🧑‍💼 Job Posters dataset is free (the same rows again). You're billed only for rows that reach your dataset: the run stops before it would go past your spending limit, and OUTPUT.results counts exactly the rows you got; OUTPUT.rowsByEvent shows how many jobs were charged (apify-default-dataset-item), how many of them with details (job-details) and with company details (company-details).

FAQ

Do I need a LinkedIn account? No. The Actor only reads what LinkedIn shows logged-out visitors.

Why do only some jobs have a job poster or a salary? LinkedIn shows a job poster only when the poster chose to (4% of jobs in our 1,000-job run on 2026-10-01). Pay comes from LinkedIn's pay box or, when there's none, from a range written in the description or stated in the title (salarySource says which); jobs that state no pay anywhere have none.

Why is the applicant count empty on some jobs? LinkedIn shows a number only past 25 applicants; below that it says "Be among the first 25 applicants", which applicantsText keeps word for word. seniority says Not Applicable when the employer gave no level.

Where's the job function? LinkedIn stopped showing it to logged-out visitors on 2026-10-01, so it's no longer in the rows, and LinkedIn's job-function search filter is ignored logged out too (checked 2026-10-01). The leading LinkedIn job scrapers we checked don't return it for new jobs either (2026-10-01). The industries are still there.

Which locations work? Anything LinkedIn's own location box understands. OUTPUT.resolvedGeoId shows the place LinkedIn picked; if a name is ambiguous, spell it out or pass geoId. For example "Washington, United States" means the D.C. area to LinkedIn; the state is "Washington State, United States".

Why do some jobs have no company page? Some postings (often staffing agencies) have no LinkedIn company page; companyUrl is empty for them.

Feedback

Missing a field, or a search that doesn't come back the way you expect? Open an issue on the Issues tab and we'll look into it. If the data helps you, a short review on this page helps other people find it.