LinkedIn Jobs Scraper API – Jobs by Keyword & Location
Pricing
Pay per usage
LinkedIn Jobs Scraper API – Jobs by Keyword & Location
Scrape LinkedIn job listings using keywords, locations, or company names. Extract job titles, company, location, job URL, and full descriptions. Ideal for recruitment automation, job boards, and market research via Apify API.
Pricing
Pay per usage
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Developer

Surya Charan
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12 hours ago
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LinkedIn Jobs Scraper — Apify Actor
Scrape public LinkedIn job listings at scale using this robust LinkedIn Jobs Scraper API. Collect high-quality, structured job data including job title, company name, location, employment type, posted date, job URL, and full job description. Built as an Apify Actor for reliable, automated, and API-driven job data extraction.
Key Features
- Scrapes public LinkedIn Jobs using keyword, location, and company filters
- Extracts clean, structured job data ready for analytics, ETL, or ATS ingestion
- Flexible search configuration for targeted job discovery
- Automatically stores results in the default Apify dataset
- Fully compatible with Apify API and automation workflows
Who Is This For
- Recruiters and HR teams tracking job openings and hiring trends
- Job boards and ATS platforms aggregating LinkedIn job data
- Data and analytics teams performing labor-market research
- Developers building automation and reporting pipelines
Input (JSON)
Provide the following input parameters to control job search and extraction:
-
keyword(string) — REQUIRED
Job title, role, or skill keyword
Example:"React Developer","Data Analyst" -
location(string) — optional
Job location or region
Example:"India","Remote" -
company(string) — optional
Filter jobs by company name -
maxJobs(integer) — optional, default20
Maximum number of job listings to collect -
postedWithinDays(integer) — optional
Filter jobs posted within the last N days
Example Input
{"keyword": "React Developer","location": "Remote","company": "","maxJobs": 30,"postedWithinDays": 7}