Extracting News From Top News API’s and Visualizing Top News Keywords Using Word Cloud Using Python

1. Import the necessary libraries:

import requests
from wordcloud import WordCloud
import matplotlib.pyplot as plt

2. Define a function called Topnews() that will extract the top news from multiple news APIs and create a word cloud:

def Topnews():
    # API keys for multiple news sources
    api_keys = {
        "bbc": "Api_number",
        "cnn": "Api_number",
        "fox": "Api_number"
    }

This dictionary contains the API keys for multiple news sources. You can replace these keys with your own API keys.

# URLs for multiple news sources
    urls = {
        "bbc": "https://newsapi.org/v1/articles?source=bbc-news&sortBy=top&apiKey=" + api_keys["bbc"],
        "cnn": "https://newsapi.org/v1/articles?source=cnn&sortBy=top&apiKey=" + api_keys["cnn"],
        "ap": "https://newsapi.org/v1/articles?source=associated-press&sortBy=top&apiKey=" + api_keys["fox"]
    }

This dictionary contains the URLs for multiple news sources. You can replace these URLs with your own URLs.

# Get the top news from each source
    results = []
    
    for source in urls:
        open_page = requests.get(urls[source]).json()
        article = open_page["articles"]
        
        for ar in article:
            results.append(ar["title"])

This loop gets the top news from each source and appends them to a list called results.

# Combine all the results into one string
    text = ' '.join(results)

This line combines all the results into one string called text.

# Create the word cloud
    wordcloud = WordCloud(width = 800, height = 800,
                background_color ='white',
                min_font_size = 10).generate(text)

This line creates a word cloud using the wordcloud library.

# Plot the WordCloud image                        
    plt.figure(figsize = (8, 8), facecolor = None)
    plt.imshow(wordcloud)
    plt.axis("off")
    plt.tight_layout(pad = 0)
    
    plt.show()

This code plots the word cloud image using matplotlib.

3. Call the Topnews() function:

if __name__ == '__main__':
    
    # Function call
    Topnews()

Please find below full code snippet

import requests
from wordcloud import WordCloud
from wordcloud import WordCloud, STOPWORDS
import matplotlib.pyplot as plt

def Topnews():
    # API keys for multiple news sources
    api_keys = {
        "bbc": "509ca54a17e9429b8b7cc33cc1c50aa3",
        "cnn": "509ca54a17e9429b8b7cc33cc1c50aa3",
        "ap": "509ca54a17e9429b8b7cc33cc1c50aa3"
    }
    
    # URLs for multiple news sources
    urls = {
        "bbc": "https://newsapi.org/v1/articles?source=bbc-news&sortBy=top&apiKey=" + api_keys["bbc"],
        "cnn": "https://newsapi.org/v1/articles?source=cnn&sortBy=top&apiKey=" + api_keys["cnn"],
        "ap": "https://newsapi.org/v1/articles?source=associated-press&sortBy=top&apiKey=" + api_keys["ap"]
    }
    
    # Get the top news from each source
    results = []
        
    for source in urls:
        open_page = requests.get(urls[source]).json()
        #print(open_page)
        article = open_page["articles"]
          
        for ar in article:
            results.append(ar["title"])
    
    # Combine all the results into one string
    headlines_text = ' '.join(results)
    #print(headlines_text)
    
    # Create the word cloud
    stopwords = set(STOPWORDS)
    wordcloud = WordCloud(
        background_color='black',
        stopwords=stopwords,
        max_words=100,
        max_font_size=60,
        scale=3)
    
    wordcloud=wordcloud.generate(headlines_text)
    fig = plt.figure(1, figsize=(12, 12))
    plt.axis('off')
    plt.imshow(wordcloud)
    plt.show()

if __name__ == '__main__':
    
    # Function call
    Topnews()

Please find below github link

https://github.com/bashamsc/News_API_Extraction_Word_Cloud.git