sofifa-web-scraper
It has over 18k detailed players info and stats from EA FC 24 scrapped from SoFIFA.com. (by prashantghimire)
worldcup
A Comprehensive Database on the FIFA World Cup (Men's and Women's) (by jfjelstul)
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sofifa-web-scraper | worldcup | |
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2 | 6 | |
16 | 169 | |
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7.9 | 6.5 | |
about 1 month ago | 10 months ago | |
JavaScript | HTML | |
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sofifa-web-scraper
Posts with mentions or reviews of sofifa-web-scraper.
We have used some of these posts to build our list of alternatives
and similar projects.
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[P] I created a web scraper to download 18k+ FIFA23 players data from SoFIFA.com
It has over 18k detailed players info and stats from FIFA23. I thought folks would find some interesting use for it. Here's the link to the GitHub Repo.
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I created a web scraper to get the complete FIFA players data from SoFifa.com
I thought this would interest some folks. https://github.com/prashantghimire/sofifa-web-scraper
worldcup
Posts with mentions or reviews of worldcup.
We have used some of these posts to build our list of alternatives
and similar projects.
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Generate Data Warehouse
Hi guys, I have a school project for building a Data warehouse using an open-source dataset. I currently dive into one dataset which is The Fjelstul World Cup Database (Github: https://github.com/jfjelstul/worldcup). This dataset has multiple tables which combine a variety of properties. It's hard to figure out the whole following process to build a Dataware house from scratch. I just get some ideas and make out a sample of this. Can you guys help me examine that? What are the best ways to build Fact and Dimension tables from this generous dataset? What properties and table I should put in that case?
- Where to find database of World Cup penalty statistics? Including penalties awarded and the score line of when this happened
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[OC] Brazil and Argentina are the top goal-scorers in World Cup history.
Source: Fjelstul World Cup Database
- Ask about Day 5 of #25daysofDAXFridays
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Announcing the 25 days of DAX Fridays! second edition!
let Source = Web.BrowserContents("https://github.com/jfjelstul/worldcup/tree/master/data-csv"), #"Extracted Table From Html" = Html.Table( Source, {{"FileName", ".js-navigation-open.Link\-\-primary"}}, [RowSelector = ".Box-row + *"] ), fxCSVs = (FileName as text) as table => let Source = Csv.Document( Web.Contents( "https://raw.githubusercontent.com/jfjelstul/worldcup/master/data-csv/" & FileName ), [Delimiter = ",", Encoding = 65001, QuoteStyle = QuoteStyle.None] ), #"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars = true]) in #"Promoted Headers", #"Invoked Custom Function" = Table.AddColumn( #"Extracted Table From Html", "CSV_Data", each fxCSVs([FileName]) ) in #"Invoked Custom Function"
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Ask about Day 1 of #25daysofDAXFridays
= Csv.Document(Web.Contents("https://github.com/jfjelstul/worldcup/blob/master/data-csv/award_winners.csv"),[Delimiter=",", Encoding=65001, QuoteStyle=QuoteStyle.None])
What are some alternatives?
When comparing sofifa-web-scraper and worldcup you can also consider the following projects:
football_analytics - 📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.
qcoder - Lightweight package to do qualitative coding
fifa - React + Node.js + socket.io -- A turn-based multiplayer game-client based on FIFA
FUT-Auto-Buyer - Fifa UT AutoBuyer / Snipping Bot for fifa ultimate team web app with captcha solver