The team page on Rabona doesn't let you filter/sort players by their properties. I've needed that functionality to plan my next season's roaster, so I have decided to hack a quick script to get the data and export it to excel (.xlsx format)
import pandas as pdfrom rabona_python import RabonaClientPLAYER_TYPE_GOAL_KEEPER = "1"PLAYER_TYPE_DEFENDER = "2"PLAYER_TYPE_MIDFIELDER = "3"PLAYER_TYPE_ATTACKER = "4"PLAYER_TYPE_MAP = { PLAYER_TYPE_GOAL_KEEPER: "goal keeper", PLAYER_TYPE_DEFENDER: "defender", PLAYER_TYPE_MIDFIELDER: "midfielder", PLAYER_TYPE_ATTACKER: "attacker",}def get_players(username): # https://api.rabona.io/team?user=emrebeyler rabona_client = RabonaClient() players = rabona_client.team(user=username) return playersdef normalize_players(players): normalized_players = [] for player in players: # human readable type player["position"] = PLAYER_TYPE_MAP.get(player["type"]) player["OS"] = player["overall_strength"] player["GK"] = player["goalkeeping"] player["TP"] = player["teamplayer"] # not needed del player["type"] del player["ask_id"] del player["teamplayer"] del player["goalkeeping"] normalized_players.append(player) return normalized_playersdef main(username): players = normalize_players(get_players(username)["players"]) df = pd.DataFrame(players, columns=[ "uid", "name", "position", "age", "OS", "GK", "defending", "passing", "dribbling", "shot", "headball", "form", "speed", "cleverness", "TP", "endurance", "vulnerability", "no_yellow_cards", "salary", "games_blocked", "games_injured", "for_sale", "frozen", ]) print(df) df.to_excel(f"players_{username}.xlsx", header=True)main("emrebeyler")Just update the first argument in the main function with your username and let the script run. A new file (players_{username} will be created on the script's directory.) You need Python3, pandas, and rabona_python libraries.
Result
I might transform this into a small web app so that you can download the same excel without knowing any scripting spells. Just let me know if that would be something useful for you.