How to Build an Amazon Price Tracker

March 22, 2026 · 7 min read

Why Track Amazon Prices

Amazon changes prices constantly. A product might cost $49.99 in the morning and $42.99 by afternoon. For consumers, this means missing deals. For sellers, it means losing the Buy Box to competitors who undercut by a dollar.

Price tracking solves both problems. Consumers save money by buying at the lowest point. Sellers stay competitive by reacting to market changes in real time instead of checking manually.

The challenge is that Amazon does not offer a price history API. Their Product Advertising API has strict rate limits and does not expose historical pricing. Third-party tools exist, but most are browser extensions that only work when you manually visit a page. For automated, programmatic price tracking, you need a scraping solution.

Setting Up Price Monitoring with LogPose

LogPose provides an Amazon product endpoint that returns the current price, title, rating, and availability as structured JSON. Combined with the Universal Monitor feature, you can set up automated price tracking in minutes.

Step 1: Get the product data.

LogPose's scrape API is asynchronous — you submit a job, then poll for the result. For a one-off price check:

# Submit
curl "https://api.logposervices.com/api/v1/ecommerce/amazon/smart?url=https://www.amazon.com/dp/B09V3KXJPB" \
  -H "X-API-Key: YOUR_API_KEY"
# → {"job_id": "abc123", "status": "submitted", ...}

# Poll status (every ~2s)
curl https://api.logposervices.com/api/v1/jobs/abc123 \
  -H "X-API-Key: YOUR_API_KEY"

# Fetch result once status == "completed"
curl https://api.logposervices.com/api/v1/jobs/abc123/result \
  -H "X-API-Key: YOUR_API_KEY"

The result includes the current price, list price, rating, and availability. You get clean numbers, not strings with dollar signs that need regex to parse. Bare ASINs (?url=B09V3KXJPB) are accepted and expanded automatically.

Step 2: Create a price monitor.

For ongoing tracking, skip the cron job and use LogPose's monitor system. The monitor scrapes on a schedule and stores every check:

curl -X POST https://api.logposervices.com/api/v1/monitors \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://www.amazon.com/dp/B09V3KXJPB",
    "name": "MacBook Air price watch",
    "metric": "price",
    "condition": "drops_below",
    "threshold": 40.00,
    "check_interval_hours": 1,
    "notify_channels": ["email"]
  }'

This checks the product every hour and sends an alert when the price drops below $40. No servers to maintain, no cron jobs to babysit. Available notify channels include email, webhook, telegram, slack, and discord (each requires a one-time integration setup).

Step 3: Handle the webhook.

When the price drops, LogPose sends a POST request to your webhook URL with the product data and the triggered condition. You can pipe this into Slack, Discord, email, or your own database.

Tracking Multiple Products

Real price tracking usually involves dozens or hundreds of products. You can create monitors in bulk by looping through a list of ASINs:

import os
import requests

API_KEY = os.environ["LOGPOSE_API_KEY"]
BASE = "https://api.logposervices.com/api/v1"

PRODUCTS = [
    {"asin": "B09V3KXJPB", "target_price": 40.00},
    {"asin": "B0BN93GFMN", "target_price": 25.00},
    {"asin": "B0BTFKR638", "target_price": 150.00},
]

for product in PRODUCTS:
    r = requests.post(
        f"{BASE}/monitors",
        headers={"X-API-Key": API_KEY},
        json={
            "url": f"https://www.amazon.com/dp/{product['asin']}",
            "name": f"ASIN {product['asin']} price",
            "metric": "price",
            "condition": "drops_below",
            "threshold": product["target_price"],
            "check_interval_hours": 1,
            "notify_channels": ["webhook"],
        },
    )
    r.raise_for_status()

Each monitor runs independently and only costs credits when it executes. If you are tracking 100 products at hourly intervals, that is 2,400 checks per day.

Building a Price History Dashboard

Every time a monitor runs, LogPose stores the result. You can query the history to build price charts:

curl https://api.logposervices.com/api/v1/monitors/MONITOR_ID/history \
  -H "X-API-Key: YOUR_API_KEY"

This returns an array of timestamped price points that you can plot with any charting library. Feed it into Chart.js, Recharts, or export to Google Sheets for analysis. The MONITOR_ID is the id field returned by the POST /monitors call in step 2.

Practical Tips

Check more frequently during sales events. During Prime Day or Black Friday, prices can change every few minutes. Bump your interval to 15 minutes for products you care about most.

Track the Buy Box winner, not just the price. The cheapest listing does not always win the Buy Box. LogPose returns the Buy Box seller alongside the price.

Set relative thresholds. Instead of a fixed dollar amount, consider alerting when a price drops by a percentage from its average. This catches deals you might not have anticipated.

Price tracking is one of the simplest and highest-ROI applications of web scraping. Whether you are a bargain hunter or a competitive seller, automated monitoring pays for itself quickly.