# Adaptive Web Scraper

## Description
The Adaptive Web Scraper is an advanced Python-based web scraping tool that dynamically adjusts its behavior based on real-time signals from the target website. Using AI-driven analysis of server responses, it modifies scrape frequency, headers, and interaction patterns to avoid triggering anti-bot measures. It supports scraping both static and JavaScript-heavy websites.

## Features
- **AI-driven scraping behavior adjustment**: Dynamically adjusts scraping behavior based on server response times.
- **Real-time analysis**: Analyzes server responses to optimize scraping frequency.
- **Support for JavaScript-heavy websites**: Uses Selenium for sites requiring JavaScript rendering.
- **Structured output**: Extracts titles, headings, and links and saves them in JSON format.

## Installation
1. Clone this repository:
   ```bash
   git clone https://github.com/your-repo/adaptive_web_scraper.git
   cd adaptive_web_scraper
   ```
2. Install the required Python packages:
   ```bash
   pip install -r requirements.txt
   ```

## Usage
Run the scraper with the following command:
```bash
python adaptive_web_scraper.py --url <TARGET_URL> --output <OUTPUT_FILE> [--browser chrome]
```

### Example
```bash
python adaptive_web_scraper.py --url https://example.com --output data.json
```

## Requirements
- Python 3.8+
- Selenium
- BeautifulSoup4
- Requests
- Numpy

## Testing
Run the test suite using pytest:
```bash
pytest test_adaptive_web_scraper.py
```

## License
MIT License