JobSearch-Agent — Gemini Agents | Neura Market
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    JobSearch-Agent

    JobSearch-Agent

    sreekar2858 April 21, 2025
    23 copies 0 downloads

    JobSearch-Agent automates job searching by scraping listings, filtering based on user preferences, and managing applications. Easily customize search criteria, track progress, and streamline your job hunt with this efficient, Python-powered tool.

    Agent Definition
    # JobSearch Agent
    
    <p align="center">
      <a href="https://www.python.org/downloads/">
        <img src="https://img.shields.io/badge/python-3.10%2B-blue.svg" alt="Python 3.10+">
      </a>
      <a href="https://github.com/sreekar2858/JobSearch-Agent/blob/main/LICENSE">
        <img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License: MIT">
      </a>
      <a href="https://github.com/sreekar2858/JobSearch-Agent/issues">
        <img src="https://img.shields.io/github/issues/sreekar2858/JobSearch-Agent" alt="GitHub issues">
      </a>
    </p>
    
    An intelligent job search automation system with **LinkedIn scraping**, **AI-powered CV generation**, and **cover letter creation**. Extract detailed job data, company information, and hiring team details with advanced anonymization and proxy support.
    
    ## 📋 Table of Contents
    
    - [🚀 Quick Start](#-quick-start)
    - [📖 Documentation](#-documentation)
    - [⚡ Common Commands](#-common-commands)
    - [📁 Project Structure](#-project-structure)
    - [⚙️ Configuration](#-configuration)
    - [📊 Output & Results](#-output--results)
    - [🚦 Best Practices & Guidelines](#-best-practices--guidelines)
    - [🔧 Troubleshooting](#-troubleshooting)
    - [📚 Documentation & Support](#-documentation--support)
    - [🤝 Contributing](#-contributing)
    - [📄 License](#-license--disclaimer)
    
    ---
    
    ## 🚀 Quick Start
    
    ### 1. Installation
    ```bash
    git clone https://github.com/sreekar2858/JobSearch-Agent.git
    cd JobSearch-Agent
    pip install -r requirements.txt
    ```
    
    ### 2. Setup (Optional but Recommended)
    Create a `.env` file for enhanced features:
    ```env
    # LinkedIn credentials (for better scraping results)
    [email protected]
    LINKEDIN_PASSWORD=your_password
    
    # AI API key (for CV/cover letter generation)  
    GOOGLE_API_KEY=your_gemini_api_key
    ```
    
    ### 3. Start Scraping
    ```bash
    # LinkedIn job search
    python -m src.scraper.search.linkedin_scraper "Software Engineer" "San Francisco" --max-jobs 10
    
    # Get credentials for job sites
    python -m src.scraper.buggmenot --website glassdoor.com
    
    

    Tags

    agentaigeminiglassdoorgoogle-adkindeedjobslinkedin

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