Resume and Job Matcher Web Scraper

This project scrapes job descriptions from job listing websites and compares them with your resume to calculate a keyword match score. It helps you quickly assess how well your resume fits a particular job posting. However, you can also use this for any application involving comparing texts to texts from a URL.

Features

• Scrapes job descriptions from websites (currently supports ZipRecruiter and Indeed)
• Processes text to extract meaningful keywords using NLP
• Calculates a match score based on overlapping keywords between job description and resume
• Command-line interface for easy use

Getting Started

Prerequisites

• Python 3.8 or higher
• Google Chrome browser installed
• ChromeDriver compatible with your Chrome version (or use undetected-chromedriver as in the project)
• Required Python packages (see below)

Installation

1. Clone this repository:

   git clone https://github.com/sjones-code/Resume-Job-Matcher-Web-Scraper.git
   cd Resume-Job-Matcher-Web-Scraper
   

2. Install Python dependencies:

   import nltk
   nltk.download('punkt')
   nltk.download('stopwords')
   

3. Make sure to add your resume text to my_resume.txt.

4. Update main.py with the job posting URL you want to analyze.

Usage

Only need to run the main script: python main.py

Output: a match score and list keywords that appear in both your resume and the job description.

Notes

• (VERY IMPORTANT) Make sure the job URL is accessible and the scraper supports its page structure.
  • Use websites like ZipRecruiter and not LinkedIn or Indeed as they require prior signin or have bot protection like CloudFlare
• Adjust the scraper if you use different job sites or if page layouts change.
• The match score is a basic keyword overlap metric — further improvements can be made.

Liscence

This project is entirely open source and free to use!