1. Project Overview
2. Features
   • To-Do Features
3. Requirements
4. Usage Examples
5. Setup and Installation Instructions
6. Troubleshooting Tips
7. Contribution Guidelines

The Web Scraper and Automation Suite is designed to automate the process of web scraping, data extraction, and integration with the OpenAI API for content summarization. The tool extracts data from websites, processes the information using OpenAI’s language models, and then outputs the summarized data into CSV files, making it an essential tool for data-driven projects.

• Web Scraping: Automatically scrape data from websites using cURL or similar libraries. Extract useful content like headings, paragraphs, and links.
• OpenAI Integration: Generate summaries or structured information from the scraped content using OpenAI API (GPT-3 or GPT-4).
• CSV Export: Output the summarized data into a well-formatted CSV file, which can be easily shared or processed further.
• Customizable Automation: Allows customization of scripts for specific use cases, enabling flexible automation for various projects.

• Real-Time Data Scraping: Implement real-time data scraping and updating for websites with dynamic content.
• Enhanced Data Visualization: Build a dashboard that displays scraped data and summaries in a more visual format.
• Multi-Site Scraping: Extend the tool to scrape multiple websites concurrently or in parallel for more efficiency.

To run the project, you’ll need the following:

• PHP: The primary language used for scraping, OpenAI API calls, and CSV generation.
• cURL: To make HTTP requests and scrape website data.
• OpenAI API Access: For content summarization using GPT-3 or GPT-4.
• Google Sheets API: (Optional) If you're storing or processing the data into Google Sheets.

Here’s a simple example of how to use the Web Scraper and Automation Suite with OpenAI integration:

// Include necessary files
include('config/config.php');
include('config/openai_config.php');
include('scraper/scraper.php');
include('scraper/utils.php');
include('openai/openai_api.php');
include('csv/csv_generator.php');

// Set the domain URL to scrape
$domain = 'https://example.com';

// Scrape the website
$html_content = scrape_website($domain);

// Extract data from the HTML
$extracted_data = extract_data_from_html($html_content);

// Generate a summary using OpenAI API
$summary = call_openai_api($extracted_data);

// Prepare data for CSV export
$data = [
    [$domain, $summary, implode('; ', $extracted_data), date('Y-m-d H:i:s')]
];


// Generate the CSV file
$csv_filename = 'website_summary_' . date('Y-m-d_H-i-s') . '.csv';
generate_csv($data, $csv_filename);

[echo "Process completed. CSV file created: " . $csv_filename;

Step-by-Step Guide:

1. Clone the repository:

   git clone https://github.com/your-username/web-scraper-automation-suite

2. Install required dependencies:

If you're using PHP with cURL and OpenAI API integration, make sure all necessary PHP extensions are installed. You might also need composer for dependency management.

3. Set up your API keys:

• For OpenAI, obtain your API key from OpenAI's website.

• Add your API key in config/openai_config.php

4. Run the script:

   php index.php

API Authentication Issues:

• Make sure your OpenAI API key is correctly set in config/openai_config.php

• Ensure the credentials file is in the correct location.

• Google Sheets Update Error (if applicable):

  • Verify that the sheet name and structure are correct.

  • Ensure that the Google Sheets API is set up and the sheet is shared with your API credentials.

cURL Errors:

• If you encounter issues with the scraping, make sure cURL is enabled in your PHP setup.

• Check for any connectivity issues with the website you are trying to scrape.

We welcome contributions to the Web Scraper and Automation Suite! Here’s how you can contribute:

1. Fork the repository: Click the "Fork" button on the GitHub page to create a personal copy of the project.

2. Create a new branch: Work on a new feature or fix in a separate branch.

git checkout -b feature/your-feature

3. Commit your changes:

Write clear and concise commit messages.

git commit -am "Add new feature"

4. Push to your fork: Push your changes to your fork on GitHub.

git push origin feature/your-feature

5. Submit a pull request:

Go to the "Pull Requests" section and submit your changes for review.