How to convert data into text while web scraping?

I want to scrape a website and extract the data for football players into an excel file using python.

The code works and the information is extracted but not as a text but as the HTML code. To "convert" it into text I used the .text modifier which results in an error message

"AttributeError: 'NoneType' object has no attribute 'text'"

Could anyone of you please help. My goal is to have the name, club, minutes, etc. in an excel file.

from bs4 import BeautifulSoup
import requests
import pandas as pd

def get_data(url):
    response = requests.get(url)
    soup = BeautifulSoup(response.text,"lxml")

    players = soup.find("table", 
    			class_="module-statistics statistics")
    
    data=[]
    
    for player in players:
    	item={}
    
    	item["Name"] = player.find("td", 
    				class_="person-name").text
    	item["Verein"] = player.find("td", 
    				class_="team-name")
    
    	item["Minuten"] = player.find("td", 
    				class_="person_stats-playing_minutes person_stats-playing_minutes-list")
    
    	item["Ballkontakte pro Minute"] = player.find("td", 
    				class_="person_stats-balls_touched_per_minute")
    
    	item["Summe Ballkontakte"] = player.find("td", 
    				class_="person_stats-balls_touched person_stats-balls_touched-list")
    								
    	
    	data.append(item)
    
    return data

def export_data(data):
    df = pd.DataFrame(data)
    df.to_excel("Spieler.xlsx")

if __name__ == "__main__":
    data = get_data("https://sportdaten.spiegel.de/fussball/bundesliga/ma9417803/fc-augsburg_eintracht-frankfurt/spielstatistik-ballkontakte/")
export_data(data)
    print("done")

Main issue here is to select more specific and exclude the row with the <th> because here you will not find any <td>:

players = soup.select('.module-statistics.statistics tr:has(td)')

data=[]

for player in players:
    data.append({
    'Name': player.find("td", class_="person-name").text,
    'Verein': player.find("td", class_="team-name").text,
    'Minuten': player.find("td", class_="person_stats-playing_minutes person_stats-playing_minutes-list").text,
    'Ballkontakte pro Minute': player.find("td", class_="person_stats-balls_touched_per_minute").text,
    'Summe Ballkontakte': player.find("td", class_="person_stats-balls_touched person_stats-balls_touched-list").text                                    
    })

return data

An alternative and best practice in scraping tables is to use pandas.read_html():

import pandas as pd
pd.read_html('https://sportdaten.spiegel.de/fussball/bundesliga/ma9417803/fc-augsburg_eintracht-frankfurt/spielstatistik-ballkontakte/')[0]

Based on @Timeless comment, you could add additional parameters, to get a propper result:

pd.read_html('https://sportdaten.spiegel.de/fussball/bundesliga/ma9417803/fc-augsburg_eintracht-frankfurt/spielstatistik-ballkontakte/', decimal=',', thousands='.')[0]

You have to use findNext instead of find
Try Below code should work fine

from bs4 import BeautifulSoup
import requests
import pandas as pd


def get_data(url):
    response = requests.get(url)
    soup = BeautifulSoup(response.text, "lxml")
    players = soup.find("table", class_="module-statistics statistics")
    data = []
    for player in players:
        item = {}
        item["Name"] = player.find_next("td", class_="person-name").text
        item["Verein"] = player.find_next("td", class_="team-name").text
        item["Minuten"] = player.find_next("td",
                                           class_="person_stats-playing_minutes person_stats-playing_minutes-list").text
        item["Ballkontakte pro Minute"] = player.find_next("td", class_="person_stats-balls_touched_per_minute").text

        item["Summe Ballkontakte"] = player.find_next("td",
                                                      class_="person_stats-balls_touched "
                                                             "person_stats-balls_touched-list").text
        data.append(item)
    return data


def export_data(data):
    df = pd.DataFrame(data)
    df.to_excel("Spieler.xlsx")


if __name__ == "__main__":
    data = get_data(
        "https://sportdaten.spiegel.de/fussball/bundesliga/ma9417803/fc-augsburg_eintracht-frankfurt/spielstatistik-ballkontakte/")
    export_data(data)
    print("done")

Try using .content instead of .text for BeautifulSoup. It will be soup=BeautifulSoup(response.content,"lxml").