linkedin-job-scraperlisted

# LinkedIn Scraper ## Overview This skill finds LinkedIn job postings by running `tools/jobspy_scraper.py`, a thin wrapper around the [JobSpy](https://github.com/speedyapply/JobSpy) library. It handles installation, parameter construction, execution, and result interpretation. ## Quick Start **Install the dependency once (requires Python 3.10+):** ```bash python3.12 -m pip install -U python-jobspy --break-system-packages ``` **Run the scraper:** ```bash python3.12 tools/jobspy_scraper.py \ --search "software engineer" \ --location "San Francisco, CA" \ --results 25 \ --output .tmp/jobs.csv ``` Results are saved as CSV and printed as a summary table. --- ## Workflow ### Step 1 — Understand the request Identify from the user's message: - **Search term** — job title, role, or keyword (required) - **Location** — city, state, or "Remote" (optional but recommended) - **Results wanted** — default to 25 if not specified - **Recency** — `hours_old` filter if user wants recent posts (e.g. "last 48 hours") - **Company filter** — `linkedin_company_ids` if targeting a specific company - **Full descriptions** — set `--fetch-descriptions` if user needs job description text If anything is ambiguous (e.g. "find AI jobs"), pick reasonable defaults and tell the user what you used. ### Step 2 — Construct the command Build the `tools/jobspy_scraper.py` command using the parameters below. Always save output to `.tmp/` so it's disposable and easy to find. ```bash python tools/