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BeautifulSoup

Content Orchestrator is an AI-powered system that streamlines the creation, optimization, and management of content for various purposes, such as blog posts, articles, and advertisements. By leveraging advanced natural language processing techniques and machine learning algorithms, it enhances the efficiency and effectiveness of content creation and distribution. The system employs a network of specialized AI agents that collaborate to analyze, label, and optimize content for specific target audiences and objectives, with a strong emphasis on creating advertiser-friendly content.

This project focuses on extracting and visualizing stock data using Python libraries such as yfinance for historical stock prices and web scraping techniques to gather company revenue data. It provides a comprehensive analysis by plotting both stock prices and revenues over time for companies like Tesla and GameStop.

This tool was designed to extract member institution locations from the official North American Reciprocal Association (NARM) website and places them into KML format. There are a few Google maps versions of this data created by individuals out there (like this one) that are probably mostly accurate, but the reciprocal agreements evidently update at least annually, which means they have a higher potential for inaccuracy every year they are not updated. Hopefully that dynamism within the NARM locations makes this script a particularly useful one, as (in theory) until NARM makes a major update to their website source code, this scraper will always produce a kml file with the most updated map at any time of any year.

A simple script python for scrap the fioul price on http://www.sodif.fioul.leclerc/calcul-prix-fioul

Рабочий сервис генерации продолжения текста песни по короткой фразе на основе текстов песен группы Metallica

French Gas Station Price Scraping

💎 API of discount products. Monitoring of products of interest.

Creation & Analysis of Anime Datasets using Python

El objetivo de este programa es poder crear documentos en formato Docx a partir de artículos de diferentes sitios y blogs. Se ingresa uno o mas links de algún articulo y se obtiene un documento docx listo para ser editado o para imprimir.

Android app which scrapes the website of the Czech national bank to retrieve the currency conversion rates for a specific date.

This is a system tray utility for showing App State's COVID statistics. All data is pulled from https://www.appstate.edu/go/coronavirus/.

Just a holding space for my python portfolio.

A Scrapy project that fetches the details of a product and the reviews of a product on Amazon. Also fetches corresponding URL, price, rating, and product images from Flipkart. It provides both the UI and an API.

Shcrapes a list of gfm urls

Scrape data from weather website