Effortless Data Extraction, Powered by : Generative AI
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.
A data science project that predict the winner of the football matches. From 4 leagues England, France, Egypt and Tanzania Premier Leagues.
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 simple python script that allows fast download of videos and files of any UniTN Moodle course.
The Tengri News Clone project is a web application for viewing news with the ability to manage subscriptions and create content.
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.
Développement d'une base de données pour la gestion et la veille des flux d'informations bancaires en ligne. Le projet intègre des techniques de web scraping et entrepôt de données, avec des pipelines d'ETL et des traitements batch. Les outils utilisés incluent Python, Airflow, BeautifulSoup et PostgreSQL pour une solution performante et scalable..
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.
Estimating the price of residential properties in Lagos State, Nigeria.
A web scraper that scrape all the book data from the website and stores in a sqlite3 database.
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