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InfoScraper

Description

This Python script scrapes faculty information, specifically names and email addresses. The data extracted is then compiled into a CSV file for easy access and manipulation. The script utilizes requests-html for web scraping and pandas for data manipulation and saving.

NOTE: the script will have to be modified for every url based on the page structure.

Requirements

  • pandas
  • requests-html

You can install the necessary libraries using pip:

pip install pandas requests-html

Setup

  1. Clone the repository or download the script to your local machine.
  2. Install the required Python packages listed under Requirements.

Usage

To run the script, navigate to the directory containing the script and execute it with Python:

python faculty_scraper.py output_filename.csv

The script will scrape the faculty information from the specified URL and save it to a CSV file in the same directory.

Output

The output CSV file will contain the following columns:

  • FName: The first names of the faculty members.
  • Email: The email addresses of the faculty members.

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