basketball_reference_web_scraper
letterbox-stats
| basketball_reference_web_scraper | letterbox-stats | |
|---|---|---|
| 2 | 1 | |
| 407 | 4 | |
| - | - | |
| 7.2 | 7.4 | |
| 7 days ago | 10 months ago | |
| Python | HTML | |
| MIT License | - |
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basketball_reference_web_scraper
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How often has a playoff team done what Dallas did yesterday?
Writing a web scraper is one of the most common beginner projects, and many already exist for Basketball Reference, ex: https://github.com/jaebradley/basketball_reference_web_scraper
letterbox-stats
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I created an application that retrieves the most viewed directors and actors of a Letterboxd user based on their watched movies. It also can compare the ratings of movies you and other Letterboxd user have seen.
Hi, I was working the past two days in a simple app scraping data from Letterboxd. I didn`t know if there is a way of getting this info of a profile, so I started working on it. It can be extended by scraping more info. I've published it in Github, if you want see the code or if you want to try it (https://github.com/javipzv/letterbox-stats).
What are some alternatives?
nba-sql - :basketball: An application to build an NBA database backed by MySQL, Postgres, or SQLite
Spotify-Readme - A dynamic, customizable, and real-time Spotify now-playing widget that seamlessly integrates with your website or GitHub markdown files!
extractnet - A fork of Dragnet that also extract author, headline, date, keywords from context, as well as built in metadata extraction all in one package
WGDashboard - Simplest dashboard for WireGuard VPN written in Python w/ Flask
py_webScraper - A simple web scraper using beautifulsoup and requests
facebook_page_scraper - Scrapes facebook's pages front end with no limitations & provides a feature to turn data into structured JSON or CSV
zineb - An advanced web scrapping framework for Python