LinkedIn Jobs, Company & Seniority Scraper
Pricing
from $11.54 / 1,000 results
LinkedIn Jobs, Company & Seniority Scraper
Scrape public LinkedIn job postings by keyword and location worldwide. Extract job title, company, location, posted date, job URL, company page, seniority, employment type, job function, industries and full description. Export to JSON, CSV or Excel.
Pricing
from $11.54 / 1,000 results
Rating
5.0
(1)
Developer
Scrapers Lat
Maintained by CommunityActor stats
0
Bookmarked
5
Total users
1
Monthly active users
4 days ago
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LinkedIn Jobs, Company & Seniority Scraper
Extract public job postings from LinkedIn by keyword and location across every country LinkedIn serves, with full descriptions, structured salary, seniority and hiring criteria. The most complete public LinkedIn jobs feed on Apify.
📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples
| 29 fields per record | Worldwide coverage | No login public data only | JSON / CSV / Excel output formats |
What you get in every record
Each job returns up to 29 fields, structured and ready for your database:
| Group | Fields |
|---|---|
| Job | title, jobId, url, description (plain text), descriptionHtml (formatted) |
| Company | company, companyUrl, companyLinkedinUrl, imageUrl (logo) |
| Location & mode | location, remote |
| Compensation | salary, salaryMin, salaryMax, salaryCurrency, salaryPeriod |
| Classification | seniority, employmentType, jobFunction, jobFunctions (array), industries, industriesList (array) |
| Demand signals | applicants, applicantsCount, benefits, activelyHiring |
| Timing | postedAt (date), postedText, postedTimeAgo, observedAt |
Salary is returned both as the raw posted string and parsed into numeric salaryMin / salaryMax with salaryCurrency and salaryPeriod, so you can sort and filter on pay without extra cleanup.
Filters you can combine
Narrow the search with any mix of these, all in a single run:
| Filter | What it does |
|---|---|
keywords | Job title, skill or company keyword |
location / geoId / distance | Free-text location, exact LinkedIn geo ID, or radius in miles |
timePosted | Past 24 hours, week or month |
workplaceType | On-site, remote or hybrid |
experienceLevel | Internship through executive |
jobType | Full-time, part-time, contract, temporary, internship, volunteer, other |
salaryRange | Minimum posted salary from $40k+ to $200k+ |
easyApplyOnly | Only jobs offering LinkedIn Easy Apply |
companyIds | Restrict to specific companies by LinkedIn company ID |
industryIds / jobFunctionIds | Restrict to specific industries or job functions |
sortBy | Most relevant or most recent |
How it compares
| Capability | This scraper | Typical LinkedIn jobs scrapers |
|---|---|---|
| Requires a LinkedIn login or cookies | No, public data only | Many require your account cookies |
| Structured salary (min / max / currency / period) | Yes | Often raw text only, or none |
| Full description as text and HTML | Yes | Some text only |
| Job type, salary, easy-apply, company, geo, industry filters | Yes | Usually a subset |
| Job function and industry as arrays | Yes | Rarely |
| Applicant count as a number | Yes | Often text only |
| Actively-hiring and benefits signals | Yes | Rarely |
| Charged for empty or failed runs | Never | Varies |
Fields that LinkedIn only shows to signed-in users, such as recruiter contact details and the external apply URL, are not part of the public pages this scraper reads, so they are intentionally left out rather than guessed.
Who is it for
| Use case | Who benefits |
|---|---|
| Build a live feed of open roles for a niche or location | Recruiters and staffing agencies |
| Track competitor hiring and team growth signals | Sales and market researchers |
| Aggregate listings into a job board or newsletter | Job board and community operators |
| Monitor salary, seniority and demand trends over time | Talent and compensation analysts |
| Source leads from companies that are actively hiring | B2B and lead generation teams |
Frequently Asked Questions
Which countries and locations does this LinkedIn jobs scraper cover? It works with any location LinkedIn supports worldwide. You type a location such as United States, London or Remote and the scraper returns matching public postings for that area.
How many job postings can I collect in one run? You control the volume with the Max Items setting. The scraper paginates through LinkedIn results automatically, so you can pull anywhere from a handful to thousands of listings depending on how many match your search.
Can I filter by date posted, remote work or experience level? Yes. You can limit results to the past 24 hours, week or month, restrict to on-site, remote or hybrid roles, and target a specific experience level from internship through executive. You can also filter by job type, minimum salary, Easy Apply, specific companies, industries, job functions, exact geo ID and search radius, and combine any of them in one run.
Does it return salary data?
Yes, whenever LinkedIn publishes it. You get the raw posted pay string plus parsed salaryMin, salaryMax, salaryCurrency and salaryPeriod so you can sort and compare on numbers. You can also filter the search to jobs paying at least a chosen minimum.
What is the difference between running with and without job details? Without details you get the fast listing fields like title, company, location, posted date, salary when shown on the card, and the actively-hiring signal. With details enabled the scraper opens each posting to add the full description in text and HTML, structured salary, seniority, employment type, job function, industries and applicant count.
Does this need my LinkedIn login or cookies? No. It only reads publicly visible job pages, so there is no account, password or cookie to provide, and no risk to your profile.
What happens when a field is missing on a posting? Missing values are returned as empty rather than guessed. For example the applicant count and salary only appear when LinkedIn displays them, and details such as recruiter contact and the external apply link are only shown to signed-in users, so they are not part of the public output.
Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- Accountant Jobs in Chicago: Extract LinkedIn accountant jobs in Chicago. Pull company names, locations, posting dates and application links as clean JSON data.
- DevOps Engineer Jobs in Berlin: Extract LinkedIn DevOps engineer jobs in Berlin. Collect company names, locations, posting dates and apply URLs as clean JSON data.
- Financial Analyst Jobs in Toronto: Scrape LinkedIn financial analyst jobs in Toronto. Pull job titles, employers, locations, dates posted and application links in JSON.
- Product Manager Jobs in San Francisco: Scrape LinkedIn product manager jobs in San Francisco. Get titles, companies, locations, post dates and apply links in structured JSON.
- Registered Nurse Jobs in Texas: Extract LinkedIn registered nurse jobs across Texas. Get hospital names, cities, posting dates and apply links as structured JSON output.
- Sales Manager Jobs in Sydney: Scrape LinkedIn sales manager jobs in Sydney. Collect employers, locations, posting dates and apply links in structured JSON output.
- Remote UX Designer Jobs Scraper: Scrape remote LinkedIn UX designer jobs. Collect titles, companies, locations, posting dates and apply URLs in ready to use JSON.
- Data Scientist Jobs in New York on LinkedIn: Data Scientist Jobs in New York on LinkedIn
- Remote Marketing Jobs in the United States on LinkedIn: Remote Marketing Jobs in the United States on LinkedIn
- Software Engineer Jobs in London on LinkedIn: Software Engineer Jobs in London on LinkedIn
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Why teams choose this scraper
- You are never charged for empty or failed runs — you only pay for data you actually receive.
- Maintained and monitored — if the source site changes, we fix it fast.
- Clean, typed output — one record per result, ready for your CRM, spreadsheet or database.
If this scraper saves you time, a quick ⭐ review on Apify helps other people find it and helps us keep improving it.
More scrapers at scrapers.lat
This actor is built and maintained by scrapers.lat, where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at scrapers.lat.
This actor is an independent tool and has no affiliation with LinkedIn. It only accesses data that is publicly available on the platform. Use it in accordance with LinkedIn's terms of service.
