This is a simple project that scrapes the website and generates an M3U playlist every 12 hours along with a XMLTV object that is hosted over NGINX. The XMLTV and M3U playlist can be directly imported to Emby or Plex. Or if you'd like a buffer you can also import them into xteve or tvheadend.
Django webapp that scrapes all the required product information like prices ,name, rating , images ,description etc from popular eCommerce websites.The website can be used to compare similar products at different eCommerce stores which will reduce the time given for online shopping.
This Python web-scraping project retrieves product names, prices, review stars, and review counts for a specific product category.
This is a simple project that scrapes the website and generates an M3U playlist every 8 hours along with a XMLTV object that is hosted over NGINX. The XMLTV and M3U playlist can be directly imported to Emby or Plex. Or if you'd like a buffer you can also import them into xteve or tvheadend.
An end-to-end trading bot that makes use of AI to intelligently manage a portfolio.
Scrapes a list of Payload Domains, IOC's & C2 IPs from from various feeds, for easy blacklisting.
Scrapes the supplier details from the given link and generates .csv file for it.
A python package for accessing the official statistics of Japan.
Some examples of the work Ryan Little has done as a data reporter at Mother Jones and the Howard Center for Investigative Journalism.
A CLI tool for scraping Kenyan job boards for tech jobs and saving them in a csv format for easier aggregation and job search
An API to scrape things from a SV-Restaurant
Visualization of wikipedia knowledge graph.
Scrapes a music publisher website for percussion ensembles and allows the user to sort the resulting data.
Scrapes the list of restaurants details from the given link and generates .csv file for it.
Scraping the Glassdoor website for skills and qualifications needed for certain professions such as Data Analyst, Data Scientist or Software Engineers before visualizing them.
Scrapes the list of service provider details from the given link and generates .csv file for it.
I used Reddit posts from two different skincare subreddits to build a model to classify the posts and determine what products/ingredients each subreddit discusses
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