How do I put my scraped data into a data frame

Question

Please i need help, am having trouble trying to put my scraped data into a data frame that has 3 columns i.e. date, source and keywords extracted from each scraped website for further text analysis, my code is borrowed from https://stackoverflow.com/users/12229253/foreverlearning and is given below:

from newspaper import Article
import nltk
nltk.download('punkt')
urls = ['https://dailypost.ng/2022/02/02/securing-nigeria-duty-of-all-tiers-of-government-oyo-senator-balogun/', 'https://guardian.ng/news/declare-bandits-as-terrorists-senate-tells-buhari/', 'https://www.thisdaylive.com/index.php/2021/10/24/when-will-fg-declare-bandits-as-terrorists/', 'https://punchng.com/rep-wants-buhari-to-name-lawmaker-sponsoring-terrorism/', 'https://punchng.com/national-assembly-plans-to-meet-us-congress-over-875m-weapons-deal-stoppage/']
results = {}
for url in urls:
    article = Article(url)
    article.download()
    article.parse()
    article.nlp()
    results[url] = article
for url in urls:
    print(url)
    article = results[url]
    print(article.authors)
    print(article.publish_date)
    print(article.keywords)