🛒 Amazon Web Scraper using Selenium & BeautifulSoup

This project is a Python-based web scraper that extracts product information (title, price, and link) from Amazon.in using Selenium and BeautifulSoup, and saves the data to a structured CSV file. It's ideal for practicing web scraping and data handling in Python.

🚀 Features

• Extracts product title, price, and link
• Handles missing data gracefully
• Saves data to a CSV file for easy access
• Fully automated and easy to run

📂 Folder Structure

📁 Selenium Python Project/
├── 📁 data/ # Folder containing saved HTML files from Amazon
├── 📄 collect.py # Main script to parse HTML and save CSV
├── 📄 requirements.txt # List of dependencies
├── 📄 data.csv # Output file with extracted data

⚙️ How It Works

1. You save Amazon product page HTML files in the data/ folder.
2. The script parses each file, extracts the product info, and stores it in a dictionary.
3. All extracted data is saved to data.csv.

---

🧪 Requirements

• Python 3.x
• Selenium
• BeautifulSoup (bs4)
• Pandas

Install dependencies using:

pip install -r requirements.txt

Or manually:

pip install selenium beautifulsoup4 pandas

---

▶️ How to Run

1. Clone this repo:

git clone https://github.com/AdithyaSalian23/amazon-web-scraper
cd amazon-web-scraper

2. Place your Amazon HTML files inside the data/ folder.

3. Run the scraper:

python collect.py

4. Check the generated data.csv file for the output. 🎉

---

🧠 Skills Used

🐍 Python

🌐 Selenium

🍜 BeautifulSoup

📊 Pandas

💾 Git & GitHub

---

📄 License

This project is open-source and free to use under the MIT License.