MAP enforcement on Amazon

1. 01Search the brand

   Search with q and brand returns the brand's listings with the featured price and, in other_offers, the lowest price among the other sellers and how many there are. That is enough to spot a violation without opening every product.

   GET /v1/search?engine=amazon&q=wireless+mouse&prime=true&page=1 · results.0

   {
     "position": 1,
     "asin": "B004YAVF8I",
     "title": "Logitech M185 Compact Ambidextrous 2.4 GHz Wireless Mouse - Swift Grey",
     "url": "https://www.amazon.com/dp/B004YAVF8I",
     "price_text": "$13.99",
     "price": 13.99,
     "currency": "USD",
     "original_price_text": "$17.99",
     "original_price": 17.99,
     "rating": 4.4,
     "ratings_count": 45089,
     "badge": "Overall Pick",
     "sales_volume": "10K+ bought in past month",
     "image_url": "https://m.media-amazon.com/images/I/51WN5aXZWIL._AC_UY218_.jpg",
     "sponsored": false,
     "is_prime": true,
     "delivery": "FREE delivery Tomorrow, Sep 26",
     "coupon": null,
     "other_offers": {
       "min_price_text": "$6.58",
       "min_price": 6.58,
       "count": 8
     }
   }

2. 02Open offers only where the price is below MAP

   For each watched ASIN whose price or other_offers.min_price is below its MAP, the offers endpoint lists every seller with condition, price, delivery, and the seller's id, name, and rating.

   GET /v1/product/offers?engine=amazon&asin=1098145356 · offers.0

   {
     "position": 1,
     "condition": "New",
     "price_text": "$40.94",
     "price": 40.94,
     "currency": "USD",
     "original_price_text": "$65.99",
     "original_price": 65.99,
     "delivery": "$33.04 delivery October 14 - 30.",
     "ships_from": "Pensive Keyboard Books",
     "seller": {
       "id": "A245R8VFMDKNT1",
       "name": "Pensive Keyboard Books",
       "rating": 3,
       "ratings_count": 225,
       "positive_percent": 52
     }
   }

3. 03Identify the seller

   The seller endpoint returns the business name and address Amazon shows for a seller id, with its feedback. That is who a notice goes to.

   GET /v1/seller?engine=amazon&seller_id=AWZI6BA70DZZD · seller

   {
     "id": "AWZI6BA70DZZD",
     "name": "M + L",
     "url": "https://www.amazon.com/sp?seller=AWZI6BA70DZZD",
     "storefront_url": "https://www.amazon.com/s?me=AWZI6BA70DZZD",
     "logo_url": "https://m.media-amazon.com/images/I/41FV8yzLbkL.jpg",
     "rating": 3.5,
     "ratings_count": 2229,
     "positive_percent": 61,
     "ratings": {
       "last_30_days": {
         "rating": 3.1,
         "ratings_count": 332
       },
       "last_90_days": {
         "rating": 3.2,
         "ratings_count": 823
       },
       "last_12_months": {
         "rating": 3.5,
         "ratings_count": 2229
       },
       "lifetime": {
         "rating": 4.5,
         "ratings_count": 43640
       }
     },
     "rating_distribution": {
       "1": 8,
       "2": 1,
       "3": 2,
       "4": 5,
       "5": 84
     },
     "business_name": "Marc & Lukas GmbH",
     "business_address": "Kaiserswerther Str. 85D, Ratingen, NRW, 40878, DE",
     "about": "Contact us: service.us@mplusl.de",
     "feedback": [
       {
         "rating": 5,
         "text": "Puzzle arrived on time. Excellent condition.",
         "author": "Diana M.",
         "date": "2026-09-23"
       }
     ]
   }

# MAP check: find listings of a brand's products priced below the minimum
# advertised price, and name the sellers behind each.
import csv, os, requests

API = "https://api.clair.im"
HEADERS = {"Authorization": f"Bearer {os.environ['CLAIR_API_KEY']}"}
BRAND = "Logitech"
MAP = {"B004YAVF8I": 14.99, "B015NBTAOW": 49.99}  # ASIN -> minimum advertised price
ZIP = "10001"

def get(path, **params):
    r = requests.get(f"{API}{path}", headers=HEADERS, timeout=90,
                     params={"engine": "amazon", "zip_code": ZIP, **params})
    r.raise_for_status()
    return r.json()

with open("map_violations.csv", "w", newline="") as f:
    out = csv.writer(f)
    out.writerow(["asin", "map", "seller_id", "seller", "condition", "price"])
    for page in range(1, 4):  # the brand's first three result pages
        body = get("/v1/search", q=BRAND, brand=BRAND, page=page)
        for item in body["results"]:
            floor = MAP.get(item["asin"])
            prices = [item["price"], (item["other_offers"] or {}).get("min_price")]
            lowest = min((p for p in prices if p), default=None)
            if floor is None or lowest is None or lowest >= floor:
                continue  # not a watched ASIN, or nobody is below MAP
            for offer in get("/v1/product/offers", asin=item["asin"])["offers"]:
                if offer["condition"] == "New" and offer["price"] < floor:
                    out.writerow([item["asin"], floor, offer["seller"]["id"],
                                  offer["seller"]["name"], offer["condition"], offer["price"]])
        if not body["next_cursor"]:
            break

Set CLAIR_API_KEY to a key subscribed to the Amazon Products API. Each call is one request against that API's monthly quota.

• Prices follow the delivery location. Check from the zip_code your policy is enforced for; a seller can price differently by region.
• Search shows a brand's listings as Amazon ranks them, up to 10 pages. For a long catalogue, check watched ASINs with the product endpoint instead.
• Keep condition in mind: many MAP policies cover new items only, and used offers are allowed below MAP.
• Amazon changes prices many times a day. A daily check records the price at that moment; store the response time as evidence.