This project involved scraping educational data from various websites, including college rankings, course information, and exam details. The data was extracted and stored in CSV format for further analysis, providing insights into the education sector across India and abroad.
Handling different website structures and overcoming captcha protection were significant challenges. Additionally, working with unstructured data required advanced parsing techniques to extract relevant fields.
Using Python libraries like BeautifulSoup and Request, data was scraped from educational websites. The data was then cleaned and structured into CSV format. VPNs were used to handle geographical IP restrictions, and multithreading was employed to speed up the scraping process.
The system successfully automated the scraping of educational data, providing valuable insights and helping clients track important educational information, such as college rankings and course offerings.