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An efficient web scraping tool for gathering detailed book information from eBooks.com, with user-friendly selection options for categories, subjects, and topics, culminating in the generation of downloadable CSV files.
Leveraged YouTube's Data API v3 to scrape data from 10 YouTube Channels using Python. The fetched data is stored in a MySQL Database. Developed a Power BI Dashboard to visualize data.
Imagine collecting all the required information from a website with just a few lines of Python codes! Yes, it’s possible by using Python libraries such as Beautiful Soup and Requests.
A django project to scrape the data of houses from https://divar.ir and store them in database. Also a model is trained using machine learning (Decision Tree) to predict house prices.