🧰 Contact Information Web Scraper
This project is a Flask-based web application that extracts contact information (emails and phone numbers) from any provided URL. It uses a simple front-end form to scrape, parse, and save extracted contact data directly into CSV files for easy export.

🚀 Features
Web-based interface for submitting URLs to scrape

Extracts:

Emails

Phone numbers

Uses BeautifulSoup and regular expressions for parsing

Exports scraped data to CSV via pandas

Includes SQLAlchemy models for potential future database integration

⚙ How It Works
User inputs a URL into the form.

The scraper.py module fetches and parses the webpage.

Contact data (emails and phone numbers) is extracted using regex.

Data is formatted into a Pandas DataFrame and saved as CSV.

Results are displayed directly in the browser (results.html).

🧮 Tech Stack
Python

Flask

BeautifulSoup (bs4)

Requests

Regular Expressions

Pandas

SQLAlchemy (future DB expansion)

📦 Installation

1️⃣
 Clone Repository
bash
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git clone <your-repo-url>
cd <your-repo-directory>

2️⃣
 Install Dependencies
bash
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pip install flask requests beautifulsoup4 pandas sqlalchemy

3️⃣
 Run Application
bash
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python app.py
Visit http://127.0.0.1:5000/ in your browser to use the app.

📝 File Structure
app.py — Flask application handling routing, scraping, and CSV exporting

scraper.py — Core scraping logic using requests and BeautifulSoup

pandas.py — CSV export utility function

models.py — SQLAlchemy database models (future DB expansion)