Use-case guide · E-commerce & Retail
Track competitor prices and stock across Amazon, Walmart and eBay
Keep a watchlist of your products and your competitors', check them on a schedule, and get clean JSON with price, stock and seller every time. No scrapers, proxies or headless browsers to maintain.
Watchlist
Insulated Water Bottle, 32 oz
AmazonIn stock$24.99
WalmartIn stock$26.47
eBay3 left$27.50
The challenge
Why this is hard to do yourself
Building it in-house
- Retail sites change their page layouts often, so hand-written scrapers break and need constant fixes.
- Marketplaces block repeated automated requests, which means buying proxies and handling CAPTCHAs and retries.
- Every site formats prices, stock and sellers differently, so data needs cleaning before you can compare it.
- Running headless browsers on a schedule for thousands of products is expensive to host and monitor.
With DataGuru
- One API call per product returns structured JSON with the same fields every time.
APIs used
The DataGuru APIs behind this workflow
Use one or combine them. Every API takes a simple JSON request and returns structured JSON.
How it works
Set it up in 4 steps
- 1
Build a watchlist
List the product URLs or item IDs to track: your own listings and the competitors you care about.
- 2
Schedule checks
Run a job hourly or daily that sends each URL to the matching DataGuru API.
- 3
Store snapshots
Save price, stock and seller with a timestamp in your database, a spreadsheet or a CSV.
Example
A daily Amazon price tracker in Python
This script checks every product on a watchlist and appends one row per product to a CSV. Run it on a schedule and the file becomes your price history.
import csv
import datetime
import requests
API_URL = "https://api.dataguru.cc/api/v1/amazon/products/search"
HEADERS = {"Authorization": "Api-Key YOUR_API_KEY"}
# Your products and your competitors' products.
WATCHLIST = [
"https://www.amazon.com/dp/B0EXAMPLE1",
"https://www.amazon.com/dp/B0EXAMPLE2",
]
def check(product_url):
res = requests.post(API_URL, headers=HEADERS, json={"product_url": product_url}, timeout=60)
res.raise_for_status()
product = res.json()
return {
"checked_at": datetime.datetime.now(datetime.timezone.utc).isoformat(),
"url": product_url,
"title": product.get("title"),
"price": product.get("price"),
"previous_price": product.get("previous_price"),
"availability": product.get("availability_status"),
"sold_by": (product.get("merchant_info") or {}).get("sold_by"),
}
# Run on a schedule (cron, Celery beat, GitHub Actions...) to build a price history.
with open("price_history.csv", "a", newline="") as f:
writer = None
for url in WATCHLIST:
row = check(url)
writer = writer or csv.DictWriter(f, fieldnames=row.keys())
writer.writerow(row)Response · 200 OK
{
"title": "Stainless Steel Insulated Water Bottle, 32 oz",
"brand": "Example Brand",
"price": "24.99",
"price_symbol": "$",
"previous_price": "29.99",
"availability_status": "In Stock",
"is_amazon_choice": true,
"is_coupon_exists": false,
"average_rating": "4.7",
"total_reviews": "12,408",
"merchant_info": {
"sold_by": "Amazon.com",
"ships_from": "Amazon.com"
}
}Example response trimmed to the fields used above. Values are illustrative.
What you get
What you can do with the data
Price-drop alerts
Compare each price with the last snapshot and get notified the moment a competitor undercuts you.
Stock-out detection
Watch availability_status to spot when a competitor runs out, so you can adjust ads or pricing.
Seller and Buy Box tracking
Track merchant_info.sold_by to see who is winning the sale on each listing over time.
What it costs
Checking 1,000 Amazon products once a day:
$30.00 / month
30,000 requests × $0.001 / req on the Amazon Product Search API. No subscription or minimum; you only pay for successful requests.
See all pricingWho it's for
Built for teams like yours
- E-commerce brands
- Marketplace sellers
- Pricing analysts
- Retail data teams
- Agencies managing many brands
FAQ
Frequently asked questions
Amazon, Walmart and eBay product pages, plus Google Shopping to see which other stores sell a product. Each has its own API, listed above, and they all return structured JSON.
More use cases
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