Scrape Data from online CSV File

scrape.py

url = "https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/testing/covid-testing-latest-data-source-details.csv"
with closing(requests.get(url, stream=True)) as r:
    f = (line.decode('utf-8') for line in r.iter_lines())
    reader = csv.reader(f, delimiter=',', quotechar='"')
    line_count = 0
    for row in reader:
        if line_count == 0:
            line_count += 1
        else:
            iso_code = row[0]
            country = find(iso_code=iso_code)
            date = row[2]
            if country and date:
                date = datetime.strptime(str(date), "%Y-%m-%d").date()
                tests_total = row[8]
                tests_per_thousand = row[9]
                tests_total_change = row[10]
                tests_per_thousand_change = row[11]

    line_count += 1