extractnet
basketball_reference_web_scraper
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extractnet | basketball_reference_web_scraper | |
---|---|---|
2 | 2 | |
167 | 403 | |
29.9% | - | |
0.0 | 6.2 | |
4 months ago | 7 days ago | |
HTML | HTML | |
MIT License | MIT License |
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extractnet
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
What are some alternatives?
autoscraper - A Smart, Automatic, Fast and Lightweight Web Scraper for Python
nba-sql - :basketball: An application to build an NBA database backed by MySQL, Postgres, or SQLite
trafilatura - Python & command-line tool to gather text on the Web: web crawling/scraping, extraction of text, metadata, comments
py_webScraper - A simple web scraper using beautifulsoup and requests
Giveme5W1H - Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?
facebook_page_scraper - Scrapes facebook's pages front end with no limitations & provides a feature to turn data into structured JSON or CSV
newspaperjs - News extraction and scraping. Article Parsing
zineb - An advanced web scrapping framework for Python
newsemble - API for fetching data from news websites.
letterbox-stats - A web scraping 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.
textract - extract text from any document. no muss. no fuss.
scrollyteller - A React component for creating scrollyteller stories