📚 Book Market Intelligence Web Scraper

👨‍💻 Author

Shaik Abdul Sameer

Python Developer | Data Analytics Enthusiast | AI/ML Aspirant

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📖 Project Overview

This project demonstrates web scraping using Python, BeautifulSoup, and Pandas. The application automatically extracts book information from multiple pages of an online bookstore and stores the collected data in CSV format for further analysis.

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🎯 Objectives

• Collect book data from a website
• Extract book titles, prices, and ratings
• Store structured data in CSV format
• Build a dataset for data analysis and visualization

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🛠 Technologies Used

• Python
• Requests
• BeautifulSoup
• Pandas

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✨ Features

✅ Multi-page web scraping

✅ Automated data collection

✅ Book title extraction

✅ Price extraction

✅ Rating extraction

✅ CSV dataset generation

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📊 Dataset Information

The generated dataset contains:

Column	Description
Title	Book Title
Price	Book Price
Rating	Customer Rating

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📂 Project Structure

CodeAlpha_BookMarketIntelligence
│
├── scraper.py
├── books_market_data.csv
├── requirements.txt
└── README.md

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🚀 How to Run

1. Clone the repository

git clone https://github.com/AbdulSameer2005/CodeAlpha_BookMarketIntelligence.git

2. Install dependencies

pip install -r requirements.txt

3. Run the scraper

python scraper.py

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📈 Results

• Successfully scraped 100 book records
• Generated a structured CSV dataset
• Demonstrated practical web scraping and data collection skills

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🎓 Learning Outcomes

• HTML Parsing
• Web Scraping
• Data Collection
• Data Cleaning
• CSV Export
• Python Automation

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⭐ Internship Task

CodeAlpha Data Analytics Internship – Task 1 (Web Scraping)

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Connect With Me

📬 Contact

Shaik Abdul Sameer

📧 Email: abdulsameershaik013@gmail.com

🔗 LinkedIn: https://www.linkedin.com/in/shaik-abdul-sameer-31a5712a5

💻 GitHub: https://github.com/AbdulSameer2005