Amazon Manga Scraper

This project is a web scraping script designed to extract manga book information from Amazon search results using Python and BeautifulSoup. The script sends a request to the Amazon search page for manga, parses the HTML content, and retrieves details of the books listed.

Features

• Scrapes Amazon search results for manga books.
• Extracts book information such as URL and title.
• Handles pagination to fetch results from multiple pages.
• Sends email alerts if any data changes.
• Includes detailed debugging information for troubleshooting.

Requirements

• Python 3.x
• requests library
• beautifulsoup4 library
• lxml library
• smtplib library (for sending emails)

1. Configure your email settings in the send_email_alert function:

   def send_email_alert(changes):
       sender = "[email protected]"
       receiver = "[email protected]"
       password = "your-email-password"/"your-app-password"
       subject = "Amazon Manga Scraper Alert"
       body = f"Changes detected:\n\n{changes}"
   
       message = f"""From: {sender}
       To: {receiver}
       Subject: {subject}
   
       {body}
       """
   
       try:
           smtp_obj = smtplib.SMTP('smtp.example.com', 587)
           smtp_obj.starttls()
           smtp_obj.login(sender, password)
           smtp_obj.sendmail(sender, receiver, message)
           smtp_obj.quit()
           print("Email sent successfully")
       except Exception as e:
           print(f"Error: unable to send email: {e}")

2. Run the script:

   python scraper.py

3. The script will print the extracted book information to the console and send an email alert if any data changes are detected.

Debugging

The script includes several print statements to help with debugging:

• The status code of the HTTP response.
• The list of links found on the search results page.
• The list of URLs extracted from the links.
• The URL being processed for each book.
• The next page URL for pagination.

Example Output

Perspectives

• Fixing URL Issues: The current script is facing issues with extracting URLs correctly. This will be addressed in the next update.
• Scheduled Execution: A feature will be added to enable the script to run automatically every 5 days, ensuring the data is always up-to-date.