Price benchmark

import requests

API_KEY = "rx_YOUR_API_KEY"
EAN = "3401351277399"

response = requests.get(
    f"https://api.rxradar.xyz/v1/snapshots/compare?gtin={EAN}",
    headers={"Authorization": f"Bearer {API_KEY}"}
)

data = response.json()

print(f"Product: {data['product_name']}")
print(f"Min price: ${data['stats']['min_price']}")
print(f"Max price: ${data['stats']['max_price']}")
print(f"Average price: ${data['stats']['avg_price']}")
print(f"Store count: {data['stats']['snapshot_count']}")

product_id = 12345

response = requests.get(
    f"https://api.rxradar.xyz/v1/products/{product_id}/snapshots?days=30",
    headers={"Authorization": f"Bearer {API_KEY}"}
)

snapshots = response.json()["data"]

for snapshot in snapshots:
    print(f"{snapshot['collected_at']}: ${snapshot['price']['current']}")

import pandas as pd

def benchmark_report(ean_list):
    results = []

    for gtin in ean_list:
        response = requests.get(
            f"https://api.rxradar.xyz/v1/snapshots/compare?gtin={gtin}",
            headers={"Authorization": f"Bearer {API_KEY}"}
        )
        data = response.json()

        results.append({
            "gtin": gtin,
            "product": data["product_name"],
            "min_price": data["stats"]["min_price"],
            "max_price": data["stats"]["max_price"],
            "avg_price": data["stats"]["avg_price"],
            "stores": data["stats"]["snapshot_count"]
        })

    return pd.DataFrame(results)

# Example
eans = ["3401351277399", "3540550014944", "0020714002527"]
report = benchmark_report(eans)
print(report)