Python script for Amazon price drop notifications

Building a Python Script for Amazon Price Drop Notifications

By Sarah Davis | July 10, 2025

Python Web Scraping Amazon Ecommerce

Building a Python Script for Amazon Price Drop Notifications

For Amazon businesses and market analysts, staying ahead of price fluctuations is critical. Price drops can signal shifts in market demand, competitor strategies, or potential inventory issues. This blog post will guide you through building a Python script to monitor Amazon product prices and receive notifications when a price drops below a specified threshold. By leveraging the SellerMagnet API, you can automate this process and gain a significant competitive advantage.

Why Price Drop Notifications?

Implementing a price drop notification system offers numerous benefits:

  • Competitive Analysis: Track competitor pricing strategies in real-time.
  • Inventory Management: Identify potential overstock situations leading to price cuts.
  • Market Research: Understand market trends and consumer behavior based on price changes.
  • Real-time Alerts: Immediate notifications enable quick decision-making.

Prerequisites

Before you start, ensure you have the following:

  • Python 3.6+ installed
  • A SellerMagnet API key
  • Required Python libraries: requests

Install the requests library using pip:

pip install requests

Setting up the Script

Let's create a Python script to monitor Amazon product prices using the SellerMagnet API. We'll use the Amazon Product Statistics endpoint to retrieve product data.

Step 1: Import Libraries and Set Up Credentials

First, import the necessary libraries and set your API key and the ASIN of the product you want to track.

import requests
import time

API_KEY = "YOUR_API_KEY"
ASIN = "B08N5WRWNW" # Example ASIN - Replace with the actual ASIN
MARKETPLACE_ID = "ATVPDKIKX0DER" # Example: US Marketplace
PRICE_THRESHOLD = 50 # Define the price threshold

def get_product_price(asin, marketplace_id, api_key):
    url = "https://sellermagnet-api.com/amazon-product-statistics"
    params = {
        "asin": asin,
        "marketplaceId": marketplace_id,
        "api_key": api_key
    }
    response = requests.get(url, params=params)
    data = response.json()
    if data["success"]:
        return data["data"]["buyBoxPrice"] / 100  # Convert from cents to dollars
    else:
        print(f"Error fetching price for ASIN {asin}: {data.get('errors')}")
        return None


def send_notification(asin, current_price):
    print(f"Price Alert! ASIN: {asin}, Current Price: ${current_price}")
    # Implement notification logic here (e.g., send an email)
    pass

Step 2: Fetch Product Price and Compare

Next, fetch the current price of the product and compare it to your defined threshold.

current_price = get_product_price(ASIN, MARKETPLACE_ID, API_KEY)

if current_price is not None:
    if current_price <= PRICE_THRESHOLD:
        send_notification(ASIN, current_price)

Step 3: Implement Monitoring Loop

Create a loop to continuously monitor the product price at specified intervals.

while True:
    current_price = get_product_price(ASIN, MARKETPLACE_ID, API_KEY)

    if current_price is not None:
        if current_price <= PRICE_THRESHOLD:
            send_notification(ASIN, current_price)

    time.sleep(3600)  # Check every hour

Complete Script

import requests
import time

API_KEY = "YOUR_API_KEY"
ASIN = "B08N5WRWNW"
MARKETPLACE_ID = "ATVPDKIKX0DER"
PRICE_THRESHOLD = 50

def get_product_price(asin, marketplace_id, api_key):
    url = "https://sellermagnet-api.com/amazon-product-statistics"
    params = {
        "asin": asin,
        "marketplaceId": marketplace_id,
        "api_key": api_key
    }
    response = requests.get(url, params=params)
    data = response.json()
    if data["success"]:
        return data["data"]["buyBoxPrice"] / 100
    else:
        print(f"Error fetching price for ASIN {asin}: {data.get('errors')}")
        return None


def send_notification(asin, current_price):
    print(f"Price Alert! ASIN: {asin}, Current Price: ${current_price}")
    # Implement notification logic here (e.g., send an email)
    pass


while True:
    current_price = get_product_price(ASIN, MARKETPLACE_ID, API_KEY)

    if current_price is not None:
        if current_price <= PRICE_THRESHOLD:
            send_notification(ASIN, current_price)

    time.sleep(3600)

Response Example

The Amazon Product Statistics endpoint returns JSON data with product details, including the buy box price:

{
  "success": true,
  "data": {
    "asin": "B08N5WRWNW",
    "amazonPrice": 7999,
    "bestSellerRank": 123,
    "buyBoxPrice": 4999,
    "buyBoxFulfillment": "FBM",
    "buyBoxSellerIdHistory": [
      [
        "2024-01-01T00:00:00Z",
        "A1234567890123"
      ]
    ],
    "salesRankHistory": [
      [
        "2024-01-01T00:00:00Z",
        123
      ]
    ],
    "trackingSince": "2023-01-01",
    "graphs": null,
    "metadata": null
  }
}

Advanced Features

  • Multiple ASINs: Modify the script to monitor multiple products by storing ASINs in a list.
  • Dynamic Thresholds: Implement dynamic price thresholds based on historical data.
  • Email Notifications: Use Python's smtplib to send email notifications.
  • Data Logging: Log price changes to a database or file for further analysis.
  • Integrate with DataPipeline: Schedule your script to run automatically using DataPipeline for continuous monitoring.

Leveraging Other SellerMagnet API Endpoints

Enhance your Amazon monitoring strategy by integrating other SellerMagnet API endpoints:

Conclusion

Building a Python script for Amazon price drop notifications is a valuable tool for businesses aiming to optimize their strategies. By leveraging the SellerMagnet API, you can automate price monitoring, gain competitive insights, and make data-driven decisions. Start building your script today and unlock the power of real-time Amazon data!

Don't forget to explore other SellerMagnet API features like Structured Data API, Amazon Web Scraping, Amazon Categories, Amazon Seller Review, Amazon Product Offers, Amazon Bestsellers, Amazon ASIN/ISBN/EAN Converter, Amazon Product Estimate Sales, Amazon Product Bestseller History, Amazon Product Reviews, Amazon Product Statistics, and Amazon Product Lookup.

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