A small Streamlit-based job scraping tool that scrapes job listings from multiple Indian job platforms (Internshala, Naukri, Indeed). The project includes a notebook for scraping experiments and a Streamlit app (`job_scraper.py`) for interactive use.

A powerful Python tool for scraping job listings from Naukri.com, allowing you to search for jobs by title and collect detailed information in a CSV format.

An automated web scraping tool that extracts, processes, and analyzes lead generation job listings from Naukri.com. This project implements a robust scraping pipeline with built-in data cleaning and processing capabilities.

Naukri Web scraping in which we can scrap the job data like - location , job role, job title and link of the job title that will scrapped and saved in Mysql DB . And converted as CSV file( able to download also)

A powerful web scraping tool to extract job listings from Naukri.com with a beautiful dark-themed dashboard

This project is a web scraping tool designed to extract job details from Naukri.com, specifically targeting job listings in the Delhi-NCR region.

Naukri Scraping Tool is a web-based application that automates job data extraction from Naukri.com. It allows users to input job roles, keywords, and locations to retrieve relevant job listings in a structured format. The project includes web scraping using Selenium, data preprocessing for insights, and a Streamlit interface.

JobHunter is an automated web scraping tool that extracts job listings from Naukri.com and saves them as PDF files. It uses headless Chrome to navigate, search, and capture job details with anti-detection measures.

This project is a Python-based automated web scraping tool designed to extract job postings from the Naukri.com job portal across multiple regions. The goal is to scrape all available job listings for different locations as provided in the link_by_areas.csv file and export structured data into a CSV file for analysis.

This project is a powerful web scraping tool designed to extract job listings from Naukri.com, specifically targeting roles that match a desired experience range. It leverages Selenium for dynamic content fetching and BeautifulSoup for HTML parsing. The extracted data is saved in a CSV file with clickable job titles that directly link.