rgib37190 / fifa-world-ranking

Fifa World Ranking Scraper

FIFA/Coca-Cola World Ranking

Parsing the table FIFA World Ranking from fifa.com to csv file. Data is available from 1992.

Last rank updates on Kaggle here.

Data

Base table "fifa_ranking-LASTDATE"

• id — counrty id
• country_full — country full name
• country_abrv — country abbreviation
• rank — current country rank
• total_points — current total points
• previous_points — total points in last rating
• rank_change — how rank has changed since the last publication
• confederation — FIFA confederations
• rank_date — date of rating calculation

How to use

1. For parsing last update:

   Download and run scraper.py

   Example:

   F:\PATH_TO\fifa-ranking-database>python scraper.py  # or python3
   Last date: 2020-09-17
   Start parsing..
   Complite 50/306 dates
   Complite 100/306 dates
   Complite 150/306 dates
   Complite 200/306 dates
   Complite 250/306 dates
   Complite 300/306 dates
   Parsing complite. Time 0:03:10.035290
   Dataset fifa_ranking-2020-09-17.csv was saved to PATH_TO_PROJECT
   
         id rank country_full country_abrv total_points previous_points rank_change confederation  rank_date
   0  43935    1      Belgium          BEL         1746            1737           0          UEFA 2019-06-14
   1  43946    2       France          FRA         1718            1734           0          UEFA 2019-06-14
   2  43924    3       Brazil          BRA         1681            1676           0      CONMEBOL 2019-06-14
   3  43942    4      England          ENG         1652            1647           0          UEFA 2019-06-14
   4  43963    5     Portugal          POR         1631            1607           2          UEFA 2019-06-14
   
   

2. For rework:

   Use Jupyter notebook from from repository or code from 'scraper.py'

3. For analysis:

   • Use csv files from repository or Kaggle dataset
   • Use csv files as a DataFrame Example for python & pandas:

   import pandas as pd
   
   
   df = pd.read_csv('PATH_TO_FILE/fifa_ranking-2020-09-17.csv')

Requirements

Python 3.7 or newest and packages from requirements.txt

pip install -r requirements.txt  # or pip3

Target

This project was created for easy analysis of the national teams FIFA ranks.