LinkedIn Job Details Scraper
Pricing
$0.70 / 1,000 results
LinkedIn Job Details Scraper
Extract full public LinkedIn job posting details from job URLs or IDs. Export title, company, location, description, criteria, posted date, applicant count text, company URL, and job URL without login.
Pricing
$0.70 / 1,000 results
Rating
0.0
(0)
Developer
Ashwin Prasad
Maintained by CommunityActor stats
0
Bookmarked
3
Total users
3
Monthly active users
6 hours ago
Last modified
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LinkedIn Job Details Scraper - No Login
Turn public LinkedIn job URLs or IDs into complete structured job records without a LinkedIn login. Paste links from alerts, spreadsheets, CRM notes, or another crawler and export titles, companies, locations, descriptions, criteria, applicant text, and source URLs to JSON, CSV, Excel, webhooks, or an API.
Start in 30 seconds
Paste one public job ID or URL first:
{"jobUrlsOrIds": ["4442141976"]}
Open the run's Dataset tab when it finishes. One valid input produces one enriched job row; invalid IDs and failed fetches are not presented as successful records.
Temporary rate limits and upstream errors use bounded retries. Invalid, expired, blocked, or incomplete job pages are recorded in the non-billable RUN_SUMMARY record instead of the paid dataset. One bad URL does not cancel other valid jobs in the same batch.
Use cases
- Enrich LinkedIn job URLs with full descriptions
- Monitor hiring signals for target accounts
- Build job market datasets for salary, skill, and location analysis
- Feed recruiting workflows, job boards, Airtable, Clay, HubSpot, or BI dashboards
- Convert LinkedIn job IDs from search results into detailed structured records
- Run scheduled checks on high-value roles, competitors, and account lists
Agent and automation workflows
Use this actor after a LinkedIn jobs search to turn saved job IDs, URLs, alerts, spreadsheets, CRM notes, or lead lists into structured job-detail rows. It is shaped for Make, Zapier, n8n, Clay, Airtable, Google Sheets, ATS enrichment, sales triggers, and AI agents that need job descriptions and criteria without scraping personal profile data.
Common automation patterns:
- Enrich newly discovered jobs with descriptions and criteria
- Monitor high-value companies for new roles and reposts
- Feed job descriptions into skill extraction, lead scoring, and market maps
- Convert LinkedIn job URLs from emails, alerts, or spreadsheets into JSON/CSV
- Build weekly hiring-intelligence reports for recruiters, sales teams, and analysts
Output
Rows include job ID, title, company, location, posted date text, applicant count text, job URL, company URL, logo URL, full description, seniority level, employment type, job function, and industries.
SEO keywords
LinkedIn job details scraper, LinkedIn job description scraper, LinkedIn job URL scraper, LinkedIn job ID scraper, LinkedIn hiring intelligence, LinkedIn job enrichment API, LinkedIn job posting extractor, public LinkedIn jobs no login.
Choose the right LinkedIn jobs Actor
- Use LinkedIn Job Details Scraper for exact job IDs and URLs.
- Use LinkedIn Jobs Search Scraper to discover jobs by keyword and location first.
- Use LinkedIn Remote Jobs Intelligence, LinkedIn Salary Jobs Intelligence, or LinkedIn Easy Apply Jobs Scraper when you want pre-filtered workflow-ready rows.
- Use LinkedIn Company Hiring Signals or LinkedIn Tech Skills Demand Analyzer for company and skill aggregates.
Pricing recommendation
This acquisition Actor uses pay-per-result pricing. You are charged for enriched dataset results, not for opening the Actor page. Validate one job first, then scale the input after confirming the output fields. Specialized LinkedIn intelligence Actors are priced higher because they add verification, classification, or aggregation.
Responsible use
This actor only targets public job posting pages. Do not use the output for spam, unlawful discrimination, or platform abuse.