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31 changes: 31 additions & 0 deletions Automated-Web-Scraper/README.md
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# Automated Web Scraper

This Python script automates the process of web scraping using the `requests` and `BeautifulSoup` libraries.

## Usage

1. Modify the script (`automated_web_scraper.py`) to set the URL you want to scrape and specify the data you want to extract.

2. Run the script using Python.

## Requirements

- Python 3.x
- `requests` library
- `BeautifulSoup` library

## Installation

1. Clone this repository or download the script (`automated_web_scraper.py`).

2. Install the required libraries using the `requirements.txt` file.

3. Modify the script and run it to perform automated web scraping.

## Author

sonicdashh

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
16 changes: 16 additions & 0 deletions Automated-Web-Scraper/automated-web-scraper.py
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import requests
from bs4 import BeautifulSoup

# Specify the URL to scrape
url = "https://example.com"

# Send an HTTP request
response = requests.get(url)

# Parse the HTML content
soup = BeautifulSoup(response.text, "html.parser")

# Extract and process data (e.g., extract all headings)
headings = soup.find_all(["h1", "h2", "h3", "h4", "h5", "h6"])
for heading in headings:
print(heading.text.strip())
2 changes: 2 additions & 0 deletions Automated-Web-Scraper/requirements.txt
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requests==2.26.0
beautifulsoup4==4.10.0