linkedin-apply

You can score LinkedIn jobs against your resume profile by scraping the job offer URL and passing your candidate data to an LLM, which generates an APPLY, REVIEW, or SKIP decision with multi-dimensional scores and highlights.

Automated LinkedIn job matching evaluates scraped job requirements against your candidate profile and CV data to produce a decision, calculating multi-dimensional scores and highlighting specific fit criteria.

Yes, you need to install Python dependencies and Playwright, including playwright-stealth, as the skill performs prerequisite checks for these libraries to handle web scraping and anti-bot mechanisms before matching jobs.

Yes, Jinja2 is supported as a dependency for rendering outputs, allowing you to generate structured reports from the multi-dimensional scores and APPLY, REVIEW, or SKIP decisions produced during the job matching process.

The skill handles various scraping and matching errors by catching exceptions during the LinkedIn extraction and LLM scoring phases, ensuring the process stops gracefully rather than failing silently during URL validation.

Using an LLM-driven approach to scrape LinkedIn job postings and compare them against your candidate profile provides an automated APPLY, REVIEW, or SKIP decision with detailed scores, streamlining the job application process.