Track competitor prices and stock across Amazon, Walmart and eBay

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)

{
  "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"
  }
}