Fetchng news and saving them in database

Here's a high-level overview of how you can fetch news and save them in a database:

Step 1: Choose a News API

There are many news APIs available that provide access to news articles, such as:

Choose an API that fits your needs and has a suitable pricing plan.

Step 2: Set up API credentials

Once you've chosen an API, you'll need to set up API credentials, such as an API key or access token. This will allow you to make requests to the API.

Step 3: Fetch news articles

Use the API to fetch news articles. You can specify parameters such as:

For example, using the News API, you can fetch articles with the following request:

https://newsapi.org/v2/top-headlines?country=us&category=business&apiKey=YOUR_API_KEY

This request fetches the top headlines in the business category from the United States.

Step 4: Parse and process the news articles

Once you've fetched the news articles, you'll need to parse and process the data. This may involve:

Step 5: Store the news articles in a database

Use a database management system such as MySQL, PostgreSQL, or MongoDB to store the news articles. You can create a table with columns for:

For example, using MySQL, you can create a table with the following schema:

CREATE TABLE news (
  id INT PRIMARY KEY,
  title VARCHAR(255),
  summary TEXT,
  date DATE,
  source VARCHAR(255),
  category VARCHAR(255)
);

Step 6: Schedule regular updates

To keep your database up-to-date, you'll need to schedule regular updates to fetch new news articles and store them in the database. You can use a scheduler such as cron or a task queue like Celery to schedule the updates.

Here's some sample Python code to get you started:

import requests
import json
import mysql.connector

# Set up API credentials
api_key = "YOUR_API_KEY"

# Set up database connection
cnx = mysql.connector.connect(
    user='your_username',
    password='your_password',
    host='your_host',
    database='your_database'
)

# Fetch news articles
response = requests.get(f"https://newsapi.org/v2/top-headlines?country=us&category=business&apiKey={api_key}")
data = json.loads(response.text)

# Parse and process the news articles
for article in data['articles']:
    title = article['title']
    summary = article['description']
    date = article['publishedAt']
    source = article['source']['name']
    category = article['category']

    # Store the news article in the database
    cursor = cnx.cursor()
    cursor.execute("INSERT INTO news (title, summary, date, source, category) VALUES (%s, %s, %s, %s, %s)", (title, summary, date, source, category))
    cnx.commit()
    cursor.close()

# Close the database connection
cnx.close()

This code fetches the top headlines in the business category from the United States, parses and processes the data, and stores it in a MySQL database. You'll need to modify the code to fit your specific use case and database schema.