# LinkedIn Posts Hunter

> Use this tool when you need to automate LinkedIn job post searching and tracking, solving problems of manual post scraping and data management for job seekers. It takes natural language AI commands or web UI inputs and outputs a dashboard with filtered post data, stored locally for privacy. Ideal for systematic tracking of LinkedIn opportunities without relying on external services.

Canonical page: https://skillsregistry.net/skills/kevin-weitgenant-linkedin-posts-hunter  
JSON: https://api.skillsregistry.net/v1/skills/kevin-weitgenant-linkedin-posts-hunter

## Description

LinkedIn Posts Hunter MCP provides AI-powered LinkedIn job post search and tracking through Playwright browser automation with persistent authentication, local SQLite storage, and a React dashboard interface. Built by Kevin Weitgenant, it automates LinkedIn post scraping with configurable pagination and concurrency, stores all data locally for complete privacy, and offers dual control through natural language AI commands or a modern web UI with advanced filtering by keywords, application status, dates, and post IDs. The implementation features automatic authentication detection, concurrent post processing with metadata extraction (author details, engagement metrics, timestamps), and a responsive dashboard with both table and card views that auto-polls for updates, making it valuable for job seekers who want to systematically track and manage LinkedIn opportunities without relying on external services.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kevin-weitgenant-linkedin-posts-hunter)
- **Repository:** <https://github.com/kevin-weitgenant/linkedin-posts-hunter-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "kevin-weitgenant-linkedin-posts-hunter"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kevin-weitgenant-linkedin-posts-hunter` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kevin-weitgenant-linkedin-posts-hunter/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt