# Call the YouTube API
api_key = ‘AIzpSyAq3L9DiPK0KxrGBbdY7wNN7kfPbm_hsPg’ # Enter your own API key – this one won’t work
youtube_api = build(‘youtube’, ‘v3’, developerKey = api_key)
results = youtube_api.search().list(q=search_terms, part=’snippet’, type=’video’,
                                    order=’viewCount’, maxResults=50).execute()

publishedAt = results[‘items’][0][‘snippet’][‘publishedAt’]

# Function to calculate view-to-sub ratio
def view_to_sub_ratio(viewcount, num_subscribers):
    if num_subscribers == 0:
        return 0
    else:
        ratio = viewcount / num_subscribers
        return ratio

# Calculating ratio while removing edge cases (of low views or low subscribers)
def custom_score(viewcount, ratio, days_since_published):
    ratio = min(ratio, 5)
    score = (viewcount * ratio)
    return score

# Function to create string for search start date
def get_start_date_string(search_period_days):
    """Returns string for date at start of search period."""
    search_start_date = datetime.today() – timedelta(search_period_days)
    date_string = datetime(year=search_start_date.year,month=search_start_date.month,
                           day=search_start_date.day).strftime(‘%Y-%m-%dT%H:%M:%SZ’)
    return date_string
# Creating date string and executing search
date_string = get_start_date_string(7)
results = youtube_api.search().list(q=search_terms, part=’snippet’,
                                type=’video’, order=’viewCount’, maxResults=50,
                                publishedAfter=date_string).execute()

# Adding days since published into custom score
def custom_score(viewcount, ratio, days_since_published):
    if ratio > 5:
        ratio = 5
    score = (viewcount * ratio) / days_since_published
    return score