import requests, time
from bs4 import BeautifulSoup as bs
import pandas as pd


def searchsport(terme):
    url = f'https://www.verif.com/recherche/{terme}/1/ca/d/?ville=null'
    response = requests.get(url, headers = {'User-Agent':'Mozilla/5.0'})
    response.raise_for_status()
    return terme, response.text


def crawl(keyword):
    try:
        keyword, html = searchsport(keyword)
        soup = bs(html,'lxml')
        a_tag = soup.select_one('td.verif_col1 a[href]')
        # your code before when looping tds would just overwrite truelink if more than one found. Instead
        if a_tag is None:
             #handle case of no result e.g. with using crawl('PARIS-SAINT-GERMAIN-FOOTBALL') instead of
             #crawl('PARIS SAINT GERMAIN FOOTBALL')
            truelink = ''
        else:
            # print(a_tag['href'])
            # adding to the list premier served no purpose. Using split on href would result in list index out of range
            truelink = f'https://www.verif.com{a_tag["href"]}'  #relative link already so no extra / after .com

    except Exception as e:
        print(e)
        truelink = '' #handle case of 'other' fail. Make sure there is an assigment
    finally:
        time.sleep(5)
    return truelink #unless try succeeded this would have failed with local variable referenced before assignment


def single_text(item_url):
    source_code = requests.get(item_url, headers = {'User-Agent':'Mozilla/5.0'})
    print('nivo1 ok')
    plain_text = source_code.text # La page en html avec toutes ces balises
    soup = bs(plain_text,features="lxml")
    print('nivo2 ok')
    table = soup.select_one('.table') # on cherche que la balise table
    #print('nivo1 ok', '\n', table)
    if table is None:
        df = pd.DataFrame()
    else:
        df = pd.read_html(str(table))[0] #simplify to work direct with table and pandas;avoid your loops
    return df

def main():

    terms = ['PARIS-SAINT-GERMAIN-FOOTBALL', 'PARIS SAINT GERMAIN FOOTBALL']

    for term in terms:
        item_url = crawl(term)
        if item_url:
            print(item_url)
            df = single_text(item_url)  # what is single_item in your question? There is single_text
            if not df.empty: #test if dataframe is empty
                print(df.head(1))

if __name__ == '__main__':
    main()