Selenium is an umbrella project encapsulating a variety of tools and libraries enabling web browser automation. Selenium specifically provides an infrastructure for the W3C WebDriver specification — a platform and language-neutral coding interface compatible with all major web browsers.
cryptopanic news feed scraper
Fetch your Kindle Highlights along with their context using the Selenium Webdriver
Jupyter Notebook Web Scraper built with BeautifulSoup and Selenium for static and dynamic scraping.
Once you're done with Lede, you get a ton of painful notebooks to finish — because Lede never really ends.
This notebook demonstrates how Selenium can be utilized in civil and structural engineering for automating data retrieval and processing tasks.
This repository contains a collection of Python notebooks dedicated to web scraping data for various projects, specially football related data.
Automates invoice generation using Selenium in Python. Interacts with login and invoice forms, pulls data from Excel. Jupyter Notebook included. Contributions welcome. MIT licensed.
Contains Selenium Webdriver web scrapers for IMDb and BestBuy. Scrapers aren't automated. The scraping processes were done in interactive Jupyter Notebook instances in a semi-supervised manner.
Automation and web scraping of Instagram just became easier!! This repository is a collection of notebooks related to different purposes in process of Instagram web scraping and automation with well documented code
This project aims to predict programming languages based on the words used in README files on GitHub. The project utilizes various libraries such as Pandas, Numpy, Selenium, NLTK, and SKLearn in a JupyterLab notebook. The process involves the entire Data Science Pipeline and a two-person team.