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def find_jobs_from(website, job_title, location, desired_characs, filename="results.xls"):    
    """
    This function extracts all the desired characteristics of all new job postings
    of the title and location specified and returns them in single file.
    The arguments it takes are:
        - Website: to specify which website to search (options: 'Indeed' or 'CWjobs')
        - Job_title
        - Location
        - Desired_characs: this is a list of the job characteristics of interest,
            from titles, companies, links and date_listed.

chris-lovejoy

# 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()

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

chris-lovejoy

# 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

chris-lovejoy

# 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)

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# 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

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# 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

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from apiclient.discovery import build

api_key='AIzaKyAq3L9BiVO0PXrGBhhY0cNN9fkPmm_BsPg' # (not a real API key)
youtube_api = build('youtube','v3', developerKey=api_key)

# Search videos
video_search_results = youtube_api.search().list(q='productivity', part='snippet', type='video',
                                order='viewCount', maxResults=50).execute()

# Search channels

chris-lovejoy

def make_job_search(job_title, location, driver):
    driver.get('https://www.cwjobs.co.uk/')
    
    # Select the job box
    job_title_box = driver.find_element_by_name('Keywords')

    # Send job information
    job_title_box.send_keys(job_title)

    # Selection location box