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Banks-ETL est un projet d'extraction, transformation et chargement (ETL) de données financières, qui utilise le web scraping et l'extraction de fichiers locaux (CSV, Excel). Il automatise la collecte des données, les transforme, et les charge dans une base de données SQLite, permettant ainsi des requêtes SQL pour une analyse efficace et centralisée
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.
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.
🏛️ Berlin Services API is a web application that scrapes, stores, and presents information about various services offered by the city of Berlin. It provides a user-friendly interface to explore services and their associated locations.
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.
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.