github-actions-demo-freddiemac.py

    import requests
    from bs4 import BeautifulSoup
    import pandas as pd
    from datetime import datetime

    # get page content
    url = 'http://www.freddiemac.com/'
    page = requests.get(url)
    soup = BeautifulSoup(page.content, "html.parser")

    # get current date and datetime
    current_datetime = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
    current_datetime_label = datetime.now().strftime('%Y-%m-%d-%H-%M-%S')

    # extract values
    items = []
    for grid in soup.find_all(class_="rate grid-x"):
        name = grid.find(class_="name").text
        rate = grid.find(class_="rate-percent").text
        fees = grid.find(class_="fees").text
        item = [name, rate, fees, current_datetime]
        items.append(item)

    # save as dataframe
    df = pd.DataFrame(items)
    df.columns = ['name', 'rate', 'fees', 'datetime']

    # export to csv
    file_path = 'data/fm-rates-' + current_datetime_label + '.csv'
    df.to_csv(file_path, index = False)