AI News Fetcher

AI News Fetcher is a Django-based web application that fetches and displays articles related to "Artificial Intelligence" using Google Search API and NewsAPI. This project demonstrates the integration of multiple APIs within a Django framework to provide a seamless user experience for accessing the latest AI news.

Table of Contents

• Prerequisites
• Setup
  • Clone the Repository
  • Create a Virtual Environment
  • Install Dependencies
  • Set Up Environment Variables
  • Run Migrations
  • Run the Development Server
• APIs Used
  • Google Search API
  • NewsAPI

Prerequisites

• Python 3.x
• Django 3.x or higher
• Git

Setup

Clone the Repository

git clone https://github.com/yourusername/ai-news-aggregator.git cd ai-news-aggregator

Create a Virtual Environment

python3 -m venv env source env/bin/activate # On Windows use env\Scripts\activate

Install Dependencies

pip install -r requirements.txt

Set Up Environment Variables

• GOOGLE_API_KEY=your_google_api_key
• GOOGLE_CX=your_google_cx
• NEWSAPI_KEY=your_newsapi_key

Run Migrations

python manage.py migrate

Run the Development Server

python manage.py runserver

APIs Used

Google Search API

The Google Search API is used to fetch articles related to “Artificial Intelligence” from across the web. The API returns search results, including titles, descriptions, URLs, publishers, and images. To use this API, you need:

•	An API key
•	A custom search engine ID (CX)

Refer to the Google Custom Search JSON API documentation for more details.

NewsAPI

NewsAPI is used to fetch the latest news articles related to “Artificial Intelligence” from various news sources. The API provides article titles, descriptions, URLs, authors, and images. To use this API, you need an API key.

Refer to the NewsAPI documentation for more details.

Adding Pagination

To navigate through pages, use the “Previous Page” and “Next Page” links at the bottom of the page.