linkedin-search

name	linkedin-search
version	1.0.0
description	Use this skill whenever the user wants to search for jobs in any location or market, find job listings, or look up a specific job posting — in any country, city, or remotely. Invoke for open positions, vacancies, and hiring across any sector or role (software, data, design, marketing, finance, legal, operations, etc.). The location is always supplied explicitly by the user. Trigger phrases: find a job, job search, search for jobs, job openings, vacancies, hiring, positions open, remote jobs, "are there any X jobs in <place>", look up this job posting.
context	fork
enabled	true
allowed-tools	Bash(bun run .agents/skills/linkedin-search/cli/src/cli.ts *)

LinkedIn Search Skill

Search live job listings from LinkedIn's public job board for any country/region (and remote). No authentication, no API key, and zero runtime dependencies — it runs with just bun. The location is always passed explicitly, so the same skill works for a forker in any market out of the box.

This is a country-agnostic worked example of the repo's job-portal-skill pattern. LinkedIn's jobs-guest endpoints are global and the HTML parsing is country-independent; only the --location you pass changes per market.

⚠️ Personal use only

This uses LinkedIn's public job pages; automated access is against LinkedIn's Terms of Service, so keep volume low and don't use it commercially or for bulk data collection. Run it on your own responsibility.

When to use this skill

• Search for job openings in a given location (any country/city) or remotely
• Filter by recency (posted today / last 7 / 14 / 30 days) or workplace type (remote/hybrid/onsite)
• Get the full description of a specific job listing

Commands

Search job listings

bun run .agents/skills/linkedin-search/cli/src/cli.ts search --location "<place>" [flags]

Key flags:

• --location <text> / -l <text> — required. A LinkedIn place string, e.g. "Mumbai, Maharashtra, India", "Berlin, Germany", "London, United Kingdom", or "Remote".
• --query <text> / -q <text> — keyword search (title, skill, role). Recommended.
• --jobage <days> — posted within N days: 1, 7, 14, 30. Omit for all postings.
• --jobage-minutes <n> — posted within N minutes (sub-day precision, e.g. 30). Conflicts with --jobage — pass only one.
• --remote <mode> — remote, hybrid, or onsite (workplace-type filter).
• --page <n> — page number (1-indexed, 10 results per page).
• --limit <n> / -n <n> — cap total results emitted (client-side).
• --format json|table|plain — default json.

Fetch full job detail

bun run .agents/skills/linkedin-search/cli/src/cli.ts detail <id|url> [--format json|plain]

id is the job ID from search results (e.g. 4426311357). You may also pass a full LinkedIn jobs/view/... URL or a urn:li:jobPosting:... URN. Returns the full description, seniority, employment type, job function, and industries.

Usage examples

# Data engineer roles in Bengaluru, last 30 days
bun run .agents/skills/linkedin-search/cli/src/cli.ts search -q "data engineer" -l "Bengaluru, Karnataka, India" --jobage 30 --format table

# Product manager roles in Berlin, remote
bun run .agents/skills/linkedin-search/cli/src/cli.ts search -q "product manager" -l "Berlin, Germany" --remote remote --format table

# Any role, fully remote
bun run .agents/skills/linkedin-search/cli/src/cli.ts search -q "paralegal" -l "Remote" --format table

# Engineer roles, remote, posted in the last 30 minutes
bun run .agents/skills/linkedin-search/cli/src/cli.ts search -q "engineer" -l "Remote" --jobage-minutes 30 --format table

# Full details for a specific job
bun run .agents/skills/linkedin-search/cli/src/cli.ts detail 4426311357 --format plain

Output formats

Format	Best for
json	Default — programmatic use, passing IDs to detail
table	Quick human-readable scanning
plain	Reading a single job's full detail (detail command)

All errors are written to stderr as { "error": "...", "code": "..." } and the process exits with code 1.

Notes

• Data is from LinkedIn's public jobs-guest endpoints — no credentials required.
• Page size is fixed at 10 results per page.
• LinkedIn may rate-limit; the CLI retries 429/5xx with exponential backoff. Keep volume low (see ToS note above).
• Job IDs are numeric (e.g. 4426311357) — pass them as-is to detail.