This Python script automates the process of scraping job listings from Internshala.com, extracting key details, and saving the data into a structured Excel file. It is a simple and efficient tool for collecting job-related information.

• Data Scraping: Extracts job titles, locations, experience levels, skills, salaries, and job descriptions from the Internshala jobs page.
• Detailed Insights: Retrieves additional details by following links to individual job pages.
• Excel Export: Saves all scraped data into a well-organized Jobs.xlsx file.
• Readable Output: Automatically adjusts column widths in the Excel file for better readability.

• Python 3.6 or higher.
• Required Python libraries installed.

1. Clone the repository or save the Python script and requirements.txt in the same directory.

2. Install the required libraries using pip:

   pip install -r requirements.txt

Run the scraper by executing the Python script in your terminal:

python scraper.py

The script will scrape job data and generate a file named Jobs.xlsx in the same directory.

Note: The script includes a small delay (time.sleep(0.5)) between requests to ensure responsible scraping practices and avoid overwhelming the server.