A Pycharm project that contains web scraping dynamic websites using BeautifulSoup and requests-html, text summarizing with BART
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Updated
May 25, 2021 - Python
A Pycharm project that contains web scraping dynamic websites using BeautifulSoup and requests-html, text summarizing with BART
Парсер страничек с Lamoda шмотками и не только
My spiderbot
Comparison between the widely used BeautifulSoup4 and the new Requests-HTML parsing libraries, for parsing review data from Metacritic.
A Python module for web scraping with javascript, alternative to requests-html
Web Services via CLI Requests
Extraction of Amazon product information using BeautifulSoup
This is a simple Web-Scraping for YellowPages website. It was written by me from scratch on Python with Requests_HTML module (library).
This script uses requests_html module to retrieve headers, details and links of articles from interia.pl, then exports them into a CSV file.
This script retrieves products from x-kom store using requests_html module, then exports them nicely formatted into a CSV file through pandas.
This program is used to manage Motivational Quotes account on Twitter.
In this project we use use the Yahoo Finance python library and webscraping methods to extract the stock data of Tesla, Amazon, AMD, and GameStop stocks
PyWebWrench is a Python library that enables you to view web pages and make HTTP requests
This is a repository for python code using packages such as requests, requests-html, selenium and httpx for extracting data from various websites. The preferred data frame for this repository is Pandas.
In this project, I take a closer look at the concept of entropy (information theory), as it relates to the classic novel "The Time Machine." I break down the conditional entropy for each letter of the English alphabet within the text. Additionally, I examine how the entropy of the Eng. lang. has changed over a relatively short span of 150 years.
Access The New York Times daily for the Morning Newsletter
News Aggregator That Helps Mitigate The Effects of Media Bias on Users.
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