← Back to Skills Marketplace
gullish42069

Job Lead Radar

by GULLISH42069 · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
96
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install job-lead-radar
Description
Scrapes and collects job leads from Indeed, ZipRecruiter, ProductionHUB, and LinkedIn on demand or schedule for production and creative roles.
README (SKILL.md)

Job Lead Radar

Automated job lead scraping across multiple sources. Runs on a schedule or on-demand.

Note on job boards: Indeed, ZipRecruiter, and LinkedIn employ anti-bot protections. Results may be reduced or zero on these sources. ProductionHUB and Peerspace scrape reliably. This is a known limitation of web scraping — not a defect in the skill.

Quick Start

cd ~/.openclaw/skills/job-lead-radar
python scripts/scrape.py [source] [query]

Sources: all (default), indeed, ziprecruiter, productionhub, peerspace, linkedin Query: Any job search term (default: "film producer")

Output

Results saved to job_leads.json in the script directory. Each entry includes:

  • source — job board name
  • timestamp — ISO timestamp
  • jobs[] — array of {title, company, link}

Cron Setup

Add to OpenClaw cron for weekly job monitoring:

0 10 * * 1 cd ~/.openclaw/skills/job-lead-radar && python scripts/scrape.py all "film producer" >> logs/weekly.log 2>&1

Custom Queries

Edit references/queries.md for industry-specific search terms. Common queries:

Industry Query
Film/TV Production film producer, video editor, production assistant
Sports Production sports producer, broadcast, remote producer
Creative content creator, social media, digital media
Web3/Crypto blockchain, crypto, web3 developer
Streaming streaming, ott, video platform

Dependencies

  • Python 3.7+
  • scrapling (pip install scrapling)

File Structure

job-lead-radar/
├── SKILL.md           ← you are here
├── scripts/
│   └── scrape.py      ← main scraper
└── references/
    └── queries.md     ← query templates
Usage Guidance
This skill appears to be what it claims: a local scraper that writes job_leads.json. Before installing or running it: (1) review the pip package 'scrapling' (source, recent releases) before pip installing to avoid pulling a malicious package; (2) consider running the script in an isolated environment (virtualenv or sandbox) and inspect network activity if concerned; (3) be aware that scraping sites like Indeed, ZipRecruiter, and LinkedIn may trigger anti-bot protections and may violate those sites' terms of service — use responsibly; (4) the skill writes files to ~/.openclaw/skills/job-lead-radar and logs via cron examples — verify cron entries and log retention meet your privacy policies. If you want higher assurance, request the upstream repository or maintainer information (homepage/source) and verify the scrapling dependency source.
Capability Analysis
Type: OpenClaw Skill Name: job-lead-radar Version: 1.0.1 The job-lead-radar skill is a legitimate web scraping tool designed to collect job postings from various platforms like Indeed and LinkedIn using the 'scrapling' library. The code in scripts/scrape.py follows standard scraping patterns, saves results locally to job_leads.json, and lacks any indicators of data exfiltration, malicious execution, or prompt injection.
Capability Tags
crypto
Capability Assessment
Purpose & Capability
The name/description (job lead scraping) matches the included script and SKILL.md. The script fetches public job board pages and extracts titles/companies/links; no unrelated services, credentials, or system resources are requested.
Instruction Scope
SKILL.md instructs running the provided Python script and optionally scheduling it via cron; outputs are written to a local job_leads.json in the skill directory. The instructions do not ask the agent to read arbitrary user files, environment variables, or transmit data to endpoints other than the job boards.
Install Mechanism
There is no install spec (instruction-only). The script depends on a third-party pip package ('scrapling'); the installer is left to the user (pip install scrapling). This is common but you should vet the scrapling package (source, trustworthiness) before installing.
Credentials
No environment variables, credentials, or config paths are requested. The script does not attempt to read secrets or other system config. This is proportionate to a scraper that targets public pages.
Persistence & Privilege
always is false, skill is user-invocable, and it does not modify agent/system-wide settings. It only writes its own job_leads.json file in its script directory.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install job-lead-radar
  3. After installation, invoke the skill by name or use /job-lead-radar
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Updated description: noted Indeed/ZipRecruiter/LinkedIn anti-bot limitations
v1.0.0
Initial release
Metadata
Slug job-lead-radar
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Job Lead Radar?

Scrapes and collects job leads from Indeed, ZipRecruiter, ProductionHUB, and LinkedIn on demand or schedule for production and creative roles. It is an AI Agent Skill for Claude Code / OpenClaw, with 96 downloads so far.

How do I install Job Lead Radar?

Run "/install job-lead-radar" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Job Lead Radar free?

Yes, Job Lead Radar is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Job Lead Radar support?

Job Lead Radar is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Job Lead Radar?

It is built and maintained by GULLISH42069 (@gullish42069); the current version is v1.0.1.

💬 Comments