Amazon Price Tracker – WebScraping and Whatsapp Alerts

🛒 Project Summary: Amazon Product Price Tracker with WhatsApp Alerts

This Python project automates Amazon product scraping and sends WhatsApp alerts with screenshots when certain products are found under a desired price. It uses Selenium, BeautifulSoup, and PyWhatKit to perform web automation, data collection, and messaging.

🔹 Step-by-Step Function Summary

1. getPandaDfForSearchResults(searchResultsPage)

• Extracts product details (Title, Price, Sponsored flag, and URL) from a single Amazon search results page using BeautifulSoup.

• Returns a Pandas DataFrame with these columns:

  • Title

  • Sponsored (True/False)

  • Price

  • URL

2. getDFfromURL()

• Launches Selenium Chrome WebDriver to open an Amazon search page (for example, PRS SE Custom 24 guitars).

• Iterates through all search result pages by clicking the “Next” button until the last page is reached.

• Calls getPandaDfForSearchResults() for each page and merges all data into one DataFrame.

• Cleans the price column (removes commas, converts to float).

• Returns a complete DataFrame containing all search results.

3. sendWhatsAppMessage(df)

• Sends WhatsApp image messages for each qualifying product.

• For every product in the given DataFrame:

  • Opens the product’s Amazon page in Selenium.

  • Takes a screenshot of the product page.

  • Sends the image and product link to a specified WhatsApp number using pywhatkit.sendwhats_image().

4. start()

• Continuously runs the search in an infinite loop until a matching product is found.

• Filters results to only include products:

  • Whose title contains "Custom 24"

  • And are priced ≤ ₹86,000

• When such products appear, it:

  • Sends WhatsApp alerts via sendWhatsAppMessage()

  • Prints the DataFrame of found items

  • Stops the loop

• If no products match, it waits 60 seconds and searches again.

5. start() Execution

• The program starts automatically when the script runs.

• Continuously monitors Amazon search results, automating both data collection and user notification.

⚙️ Technologies Used

• Python

• Selenium WebDriver — for web navigation and screenshots

• BeautifulSoup (bs4) — for HTML parsing

• Pandas — for data storage and filtering

• PyWhatKit — for WhatsApp automation

• Chromedriver_binary — for automatic Chrome driver management

💡 In Simple Terms

The script monitors Amazon search results for a specific product (e.g., “PRS SE Custom 24 guitar”).
When it finds one below your target price, it takes a screenshot of the product and instantly sends you a WhatsApp message with the image and link, so you never miss a deal.