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The Xing Job Application Assistant automates job applications on the Xing platform, making it easier for users to search and apply based on their preferences. With secure manual login, this assistant uses saved session cookies to apply to jobs headlessly and according to specific job preferences set by the user.
AgentQL is an AI-powered query language for web scraping and automation. It uses natural language selectors to find data on any page, including authenticated content. AgentQL queries are self-healing as UI changes and work across similar sites. Users can define structured data output, making AgentQL versatile for developers and data scientists.
Visualizador de moeda global que monitora em tempo real as cotações de moedas como Dólar, Euro, Libra e Iene em relação ao real brasileiro, utilizando web scraping e gráficos interativos. Desenvolvido em Python com Requests, BeautifulSoup, Pandas e Matplotlib.
A program that facilitates communication with web pages and PDF content, extracting information and enabling user interaction with the extracted data. This tool is designed for researchers, content analysts, and anyone needing to process and interact with web and PDF content efficiently.
The NSE has a website which displays the option chain in near real-time. This program retrieves this data from the NSE site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain and visually displays the trend in various indicators useful for Technical Analysis.
RPArena is the ultimate hub for automation enthusiasts. This repository hosts various projects focused on automating repetitive tasks, making life easier and more efficient. Whether you're looking to automate web interactions, data scraping, or notifications, RPArena has something for you.
The objective of this project is to deploy a web application capable of providing predictions for apartment prices in Goiânia. The model used for prediction was Histogram Gradient Boosting Regressor. All you need to do is to access the web app, fill in the input data form and then click "Predict!"!