FifaIndex

A scrapy web crawler to scrape player's states from www.fifaindex.com

Requirements

• python 3
• Scrapy 2.4

pip3 install -r requirements.txt

Fields

A player item has 60 attributs

• Player's overall and potential, height and weight (cm, Kg)
• Player's preferred positions, weak foot and skill moves (out of 5 stars)
• Player's preferred foot (R/L)
• Player's birthdate and age
• Player's value and wage (€)
• Player's Nation (position and kit number) and Club (position, kit number, date joined and contract length)
• Ball skills (ball control, dribbling)
• Defence (marking, slide tackle and stand tackle)
• Mental (agression, reactions, att. position, interceptions, vision and composure)
• Passing (crossing, short pass and long pass)
• Physical (acceleration, stamina, strength, balance, sprint speed, agility and jumping)
• Shooting (heading, shot power, finishing, long shot, curve, FK acc., penalties and volleys)
• Goalkeeper (GK positioning, GK diving, GK kicking and GK reflexes)
• Player's Specialities
• Player's traites

Scrape player's stats

From the current year

cd FifaIndex
scrapy crawl players

From a specific year

cd FifaIndex
scrapy crawl players -a link="https://www.fifaindex.com/players/fifa16/" 

Save stats to a file

cd FifaIndex
scrapy crawl players -o out.csv

Dataset

The players spider used to generate the following dataset

• Fifa Players

License

MIT