extract.py

def get_leaderboard(ac_token, segment_id, page_num, per_page):
    url = 'https://www.strava.com/api/v3/segments/%d/leaderboard?page=%d&per_page=%d'%(segment_id, page_num, per_page)
    return requests.get(url, headers={'Authorization': 'Bearer %s'%ac_token})

def get_whole_leaderboard(ac_token, segment_id, segment_name, per_page=200):
    now = datetime.datetime.now(tz=datetime.timezone(datetime.timedelta(hours=+9), 'JST'))
    now_str = "%d%d%d_%d%d%d"%(now.year, now.month, now.day, now.hour, now.minute, now.second)
    csv_out = 'hoge'
    
    rsp = get_leaderboard(
        ac_token=ac_token,
        segment_id=segment_id,
        page_num=1,
        per_page=10
    )    
    entry_count = rsp.json()['entry_count']
    
    page_max = math.ceil(entry_count/float(per_page))
    entries = []
    for _pg_num in range(1, 1+page_max):
        print(segment_name)
        print("Page: %d"%_pg_num)
        rsp = get_leaderboard(
            ac_token=ac_token,
            segment_id=segment_id,
            page_num=_pg_num,
            per_page=per_page
        )
        entry = rsp.json()['entries']
        entries += entry
        time.sleep(100000)
        
    entries_df = pd.DataFrame(entries)
    entries_df.to_csv(csv_out)   
    entries_df.head()

Is the highlighted area in yellow garbled?
I am sorry if it is our environmental problem.

Thanks for good question! It's a traditional Python formatting for 'print' . See 7.1.4 on https://docs.python.org/3/tutorial/inputoutput.html
This formatting usually run faster than others👍