JobsAnalyzer

This project was written by Claude Code, Codex by OpenAI, and GitHub Copilot

A web application that analyzes job postings using AI and stores them in a local database. Built with FastAPI, it scrapes job posting URLs, uses Claude AI or OpenAI GPT to extract key information, and provides a clean interface to view and manage job listings.

Features

• AI-powered Analysis: Uses Claude AI or OpenAI GPT to extract company name, job title, location, and summary from job postings
• Web Scraping: Automatically scrapes job posting content from URLs
• Local Database: Stores job data in a simple text file database
• Web Interface: Clean, responsive UI for analyzing and viewing jobs
• Duplicate Prevention: Prevents adding the same job URL twice
• Expandable Rows: Click to expand job details and view full summaries
• Delete Functionality: Remove jobs from the database with confirmation
• Hover Tooltips: Quick summary preview on row hover
• Sidebar Technology List: Displays all unique technology labels from your stored jobs
• Clickable Tech Labels: Click a technology in the filter panel to filter the job list by that technology (click "All" to reset filter). Use the toggle arrow to hide/show the tech filter panel (appears between heading and table). The table heading will update to show the selected technology (e.g. "Python jobs").

Installation

1. Clone the repository:

   git clone <repository-url>
   cd JobsAnalyzer

2. Create a virtual environment (recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Set up environment variables:

   cp .env.example .env

   Edit .env and add your Anthropic and OpenAI API keys:

   ANTHROPIC_API_KEY=your_anthropic_api_key_here
   OPENAI_API_KEY=your_openai_api_key_here
   

5. Get your Anthropic API key from: https://console.anthropic.com/

Usage

1. Start the server:

   python app.py

   Or use uvicorn directly:

   uvicorn app:app --reload --host 0.0.0.0 --port 8000

2. Open your browser to http://localhost:8000

3. Enter a job posting URL and click "Analyze" to add it to your database

4. View all jobs in the table below, with options to:

   • Click the arrow (▶) to expand job details
   • Click the × to delete a job
   • Hover over rows to see quick summaries

Project Structure

├── app.py              # Main FastAPI application
├── templates/
│   └── index.html      # HTML template
├── static/
│   ├── style.css       # CSS styles
│   └── script.js       # JavaScript functionality
├── .env                # Environment variables (create this)
├── jobs_database.txt   # Local database file (auto-created)
└── README.md          # This file

API Endpoints

• GET / - Main web interface
• POST /analyze - Analyze a job posting URL
• GET /jobs - Get all jobs from database
• DELETE /jobs - Delete a job by URL
• PATCH /jobs - Update a job's priority (0-5)
• GET /techs - Retrieve all unique technology labels and their counts

Requirements

• Python 3.7+
• FastAPI
• Uvicorn
• Requests
• BeautifulSoup4
• Python-dotenv
• Jinja2
• Anthropic API key
• OpenAI API key

Database Format

Jobs are stored in jobs_database.txt with the following format:

[YYYY-MM-DD HH:MM:SS] {"company_name": "...", "job_title": "...", "location": "...", "url": "...", "date_added": "YYYY-MM-DD", "job_summary": "...", "technologies": ["..."], "priority": 0-5}

Note

This application is for educational and personal use. Please respect robots.txt and terms of service when scraping job sites.