Python project for getting user input of date and search top billabord songs for that date. create a new playlist in spotify and find the songs and add them to the playlist

Web scraping project to store problem statements as screenshots and sample input/output as text in their respected directories for specified number of past contests.

Scraping UPI apps statistics

This is a Python web scraping project that extracts information from the GitHub Topics page (https://github.com/topics).

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This Python script is designed to scrape applicant information from the NEC website.

NewsReader application developed in python language that can tell you top news feeds through voice recognition.

📽✍️🤖 Python Version of the Letterboxd Reviews Web Scrapping with BeautifulSoup

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Scholarship Spy is a web-based platform that offers personalized scholarship recommendations from various sources on a single platform, simplifying the scholarship search process for users. With Scholarship Spy, users can easily find the best-suited scholarships based on their profiles and interests.

Web Scrapping HTML Data From Internet Using BeautifulSoup.

A Bot that recommends other Bots for easy Discord community management, entertainment and enriching features

Analysis of Economic Trends through Alternative Data.

Scrapes hazardous waste data from a website and PDF file. Cleans and analyzes the data. Prepares the data for mapping.

Importance of Web scrapping, scrapping using python BeautifulSoup, Selenium and requests libraries.

This is a capstone level classification ML project for predicting IPL team finishing position for an year based on Individual player's performance. The project includes web-scraping ESPN cricinfo website for ipl player statistics, pre-processing the data, and comparing different classification models and hyperparameter tuning them.

Python - Flask web application - E-commerce - Scraping Instagram shops based in Algeria

Un programa en Python que se encarga de buscar todos los artículos que vos solicites y te entregue un archivo con el nombre, precio y link de cada uno de los productos. Desarollado en conjunto con @ostizjuan