LinkedIn Jobs Search Scraper

🚀 LinkedIn Jobs Search Scraper

Search LinkedIn jobs by keyword and location and export every matching posting to JSON, CSV or Excel — including the ones a normal scraper can't reach.

LinkedIn serves at most 1,000 results per search, no matter how many jobs actually match. A search for "engineer" in the United States matches over 300,000 postings; ask for them and you get 1,000. This scraper detects when a search hits that ceiling, splits it into narrower searches, runs them, and merges everything with duplicates removed — so you get the jobs, not the ceiling.

Every run tells you how many jobs LinkedIn says match versus how many were actually returned. If your results are incomplete, you'll know.

✨ Features

• Goes past the 1,000-result limit. Automatic search splitting and merging. Measured on "engineer" / United States: 1,500 unique jobs, zero duplicates, in 191 requests — where the plain search tops out at 1,000.
• Deduplicated, always. LinkedIn repeats results across its own result pages, and overlaps between split searches are unavoidable. Every job appears once, keyed on its LinkedIn job ID.
• Multiple titles and locations in one run. Every keyword is searched against every location.
• Three levels of depth, so you pay for what you need:
  • Listing — title, company, location, posted date, logo, links
  • + Job detail — full description, posted salary parsed into min/max/currency/period, seniority, employment type, job function, industries, applicant count, apply type
  • + Company — followers, employee count, industry, website, headquarters, founded, specialties
• Company data is charged once per company, not once per job. A 500-job run usually spans far fewer companies, and the work is only done once.
• Worldwide by default. Leave the location empty and you get jobs from everywhere, not just the country the server happens to sit in.
• Only filters that actually work. Posted-within window, keyword and location all genuinely narrow the search. Workplace type, experience level, job type and salary band are deliberately not offered: LinkedIn accepts them on this endpoint and then ignores them, so exposing them would hand you unfiltered data that looks filtered.
• Honest truncation reporting. Every run writes a RUN_SUMMARY with returned, estimatedTotal, truncated and the reason.
• No proxy needed. Runs clean without one; proxy support is there as a fallback for high volume, not a requirement.

🛠️ How It Works

1. Enter your search keywords and locations, plus any filters.
2. Choose how much data you want per job — listing, detail, or detail + company.
3. Run it. Any search that hits LinkedIn's 1,000-result ceiling is automatically split and merged.
4. Export to JSON, CSV, Excel, or pull it from the API.

A capped search is split into narrower posting-date windows, which is the one dimension LinkedIn's guest search actually honours, and the results are merged on job ID. If you set a posted-within window, splits stay inside it — you never get jobs older than you asked for.

📋 Output Fields

Listing (every run)

Field	Description
jobId	LinkedIn job posting ID — the deduplication key
jobUrl	Canonical LinkedIn job URL
title	Job title
companyName	Hiring company name
companyUrl	Company LinkedIn URL, normalised so it works as a join key
companySlug	Company slug
location	Job location
postedDate	Posting date (YYYY-MM-DD)
postedTimeAgo	Relative posting age, e.g. "2 weeks ago"
companyLogo	Company logo image
sourceQuery	Which search this job came from
scrapedAt	ISO 8601 scrape timestamp

Job detail

Field	Description
description	Full job description text
salaryText	Posted salary range as displayed
salaryMin / salaryMax	Parsed salary bounds
salaryCurrency / salaryPeriod	Currency, and year / hour / month
seniorityLevel	Entry level, Mid-Senior level, ...
employmentType	Full-time, Part-time, Contract, ...
jobFunction	Job function
industries	Industries
applicantCount	Applicant count as a number
numApplicantsCaption	Applicant caption as displayed
applyType	easyApply or offsite (external ATS)
jobTitle / jobLocation	Title and location from the posting page
criteria	Original name/value criteria list
similarJobs	Similar jobs LinkedIn surfaces alongside this posting
peopleAlsoViewed	Jobs that viewers of this posting also viewed

Company

Field	Description
companyId	Numeric LinkedIn company ID
companyFollowers	LinkedIn follower count
companySize	Employee band as published, e.g. "51-200 employees"
companyEmployeeCount	Upper bound of that band, as a number
companyIndustry	Company industry
companyWebsite	Company website
companyHeadquarters	Headquarters location
companyDescription	Company About text
companyTagline	Company tagline
companyFounded	Year founded
companySpecialties	Company specialties
companyType	Public company, Privately Held, ...

Salary is only present where the employer posts it — common in the US, rare elsewhere. Fields with no data are null, never invented.

📊 Sample Output Data

{
    "jobId": "4442224163",
    "jobUrl": "https://www.linkedin.com/jobs/view/4442224163",
    "title": "Critical Facility Engineer II (Day Shift)",
    "companyName": "Salute",
    "companyUrl": "https://www.linkedin.com/company/inc-salute",
    "companySlug": "inc-salute",
    "location": "Cheyenne, WY",
    "postedDate": "2026-07-20",
    "postedTimeAgo": "2 weeks ago",
    "companyLogo": "https://media.licdn.com/dms/image/v2/D560BAQFxKcXt6-AAgw/company-logo_100_100/0/1709501595672/salute_dcs_logo",
    "sourceQuery": "sortBy=DD&keywords=engineer&location=United States",
    "scrapedAt": "2026-08-05T12:51:05.793Z"
}

With detail + company depth, each row also carries the description, parsed salary, seniority, applicant count and the hiring company's profile:

{
    "jobId": "4437106135",
    "title": "Registered Nurse - Ambulatory",
    "companyName": "Incredible Health",
    "location": "Quincy, MA",
    "postedDate": "2026-06-10",
    "salaryText": "$76,003.20 - $163,678.32",
    "salaryMin": 76003.2,
    "salaryMax": 163678.32,
    "salaryCurrency": "$",
    "salaryPeriod": "year",
    "seniorityLevel": "Entry level",
    "employmentType": "Full-time",
    "jobFunction": "Health Care Provider",
    "industries": "Health and Human Services",
    "applicantCount": 25,
    "applyType": "offsite",
    "companyFollowers": 26902,
    "companySize": "51-200 employees",
    "companyEmployeeCount": 200,
    "companyIndustry": "Software Development",
    "companyWebsite": "http://www.incrediblehealth.com",
    "companyHeadquarters": "San Francisco, California",
    "companyFounded": "2017"
}

💰 Pricing

Pay only for what you extract:

Event	Price (Free plan)	Price (Gold plan)
Job listing	$0.0008	$0.0004
Job with full details	$0.003	$0.0012
Company profile (per unique company)	$0.01	$0.004

A 500-job run with full job details costs about $1.50 on the Free plan and $0.60 on Gold.

❓ FAQ

Why don't I get all 319,000 jobs LinkedIn says match? LinkedIn serves 1,000 results per search. Splitting a search multiplies what's reachable but doesn't make it unlimited. Narrow your search — one city instead of a whole country, one keyword instead of a broad one — and run several. The RUN_SUMMARY tells you exactly when and why a run stopped short.

Do I need a proxy? No. Leave it off unless you're running at high volume and start seeing failures.

Do I need a LinkedIn account or cookies? No. Only publicly visible job data is collected.

Can I get jobs for a specific company? Use the LinkedIn Company Jobs Scraper, which resolves the company properly instead of keyword-matching its name.