Data Harvester - Data Science / Python.

By Tamizh Malar S G

Data harvester is the process of automatically extracting data from websites to retrieve the HTML content of a web page extracting specific data elements, using that data for various purposes.

Data harvesting is a method of extracting information or data from websites. While browsing, Some websites restrict users from saving data for personal use. Manually copying and pasting data is time-consuming and involve much labor. To automate this process, a data harvester is used. Web scrapers, a type of scraping software, are employed to automatically load and extract data from websites. These scrapers can be customized to work with any website or specifically developed for a particular site. Data harvesting is used for both personal and business purposes.

Python is a beginner-friendly programming language, renowned for its extensive collection of open-source libraries. One of the most popular libraries is Requests, which allows us to access any HTTP/HTTPS website. The extracted data can be stored in an Excel file for further analysis.