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📚 Amazon Book Scraper

A Python automation tool that extracts book titles from Amazon product pages using Selenium. This scraper reads links from a file, handles pop-ups, saves extracted titles into an output file, and logs the entire process.

✨ Features

🔗 Open Amazon book product pages automatically

⚡ Handle common pop-ups (e.g., "Continue" button)

📝 Extract book titles and save them to output/metadata.txt

🛠️ Detailed logging saved in logs/automation.log

🎲 Randomized request delays to reduce blocking risk

📂 Clean, extensible project structure

📂 Project Structure amazon-book-scraper/ ├── src/ │ ├── init.py # Makes src a package │ ├── amazon_book_scraper.py # AmazonScraper class (core logic) │ └── main.py # Script to run the scraper │ ├── books/ │ └── links.txt # Input file: Amazon product links │ ├── output/ │ └── metadata.txt # Output: extracted book titles │ ├── logs/ │ └── automation.log # Log file (auto-created) │ │ ├── requirements.txt # Project dependencies ├── .gitignore # Files/folders ignored by Git └── README.md # Documentation

🚀 Installation

Clone the repository

git clone https://github.com/nothingness-dev/AmazonBookScraper.git cd AmazonBookScraper

Install dependencies

pip install -r requirements.txt

▶️ Usage

Add Amazon book product links (one per line) into books/links.txt:

https://www.amazon.com/dp/B08XJG8MQM https://www.amazon.com/dp/B07ZZWZG8Z

Run the scraper:

python src/main.py

Results:

Extracted book titles → output/metadata.txt

Logs (success/errors) → logs/automation.log

📝 Example Code from src.amazon_bookscraper import AmazonScraper import random, time

bot = AmazonScraper()

with open("books/links.txt", "r") as datas: links = datas.readlines()

for link in links: bot.open(link.strip()) time.sleep(random.uniform(2, 5))

bot.close()

⚠️ Notes

Requires Google Chrome installed

Uses webdriver-manager to handle ChromeDriver automatically

Random delays (2–5 seconds) are included to reduce the risk of being blocked by Amazon

📜 License

This project is licensed under the MIT License.

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Automated Amazon book metadata scraper built with Python and Selenium. Extracts titles from product links, logs activity, and stores results for further analysis

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