MAP Compliance Monitoring API - Track Minimum Advertised Price

MAP Violations Hurt Your Brand

When retailers advertise below your Minimum Advertised Price, it devalues your brand, creates channel conflict, and erodes margins for compliant partners.

With products sold across hundreds of retailers and marketplaces, manual monitoring is impossible. Violations slip through, damaging brand perception and partner relationships.

WebScraping.AI Solution

Comprehensive Coverage: Monitor prices across all retailers, marketplaces, and resellers
Automated Detection: Instantly identify prices below your MAP thresholds
Evidence Collection: Capture screenshots and data for enforcement actions
Real-Time Alerts: Get notified immediately when violations occur

MAP Monitoring Features

Everything you need for effective MAP enforcement

Violation Detection

Automatically flag prices below your MAP with severity levels.

Seller Identification

Track which retailers and marketplaces are violating your policies.

Evidence Capture

Collect timestamped proof of violations for enforcement.

Compliance Reports

Generate reports showing compliance rates by retailer and product.

How It Works

Automated MAP compliance monitoring in three steps

1

Set Your MAP Prices

Define your minimum advertised prices for each SKU you want to monitor.

2

Monitor Retailers

Our API tracks prices across all your authorized and unauthorized sellers.

3

Enforce Compliance

Receive alerts and evidence to take action against violators.

Code Examples

Extract pricing data for MAP compliance checking

curl -G "https://api.webscraping.ai/ai/fields" \
  --data-urlencode "api_key=YOUR_API_KEY" \
  --data-urlencode "url=https://retailer-site.com/product/your-product" \
  --data-urlencode "fields[product_name]=Product name" \
  --data-urlencode "fields[sku]=Product SKU or model number" \
  --data-urlencode "fields[advertised_price]=The displayed selling price as a number" \
  --data-urlencode "fields[seller_name]=Name of the seller or retailer" \
  --data-urlencode "fields[is_promotion]=Whether this is a promotional price (true/false)"
# Response:
# {
#   "product_name": "Your Product Name",
#   "sku": "SKU-12345",
#   "advertised_price": 89.99,
#   "seller_name": "Discount Retailer",
#   "is_promotion": false
# }
# Compare advertised_price against your MAP threshold (e.g. $99.99) to flag violations.

# pip install webscraping_ai
# https://pypi.org/project/webscraping-ai/
from webscraping_ai import Client

client = Client(api_key="YOUR_API_KEY")
result = client.fields(
    "https://retailer-site.com/product/your-product",
    fields={
        "product_name": "Product name",
        "sku": "Product SKU or model number",
        "advertised_price": "The displayed selling price as a number",
        "seller_name": "Name of the seller or retailer",
        "is_promotion": "Whether this is a promotional price (true/false)",
    },
)
print(result)
# Response:
# {
#   "product_name": "Your Product Name",
#   "sku": "SKU-12345",
#   "advertised_price": 89.99,
#   "seller_name": "Discount Retailer",
#   "is_promotion": false
# }
# Compare advertised_price against your MAP threshold (e.g. $99.99) to flag violations.

// npm install webscraping-ai
// https://www.npmjs.com/package/webscraping-ai
import { WebScrapingAI } from 'webscraping-ai';

const client = new WebScrapingAI({ apiKey: 'YOUR_API_KEY' });
const result = await client.fields({
  url: 'https://retailer-site.com/product/your-product',
  fields: {
    product_name: 'Product name',
    sku: 'Product SKU or model number',
    advertised_price: 'The displayed selling price as a number',
    seller_name: 'Name of the seller or retailer',
    is_promotion: 'Whether this is a promotional price (true/false)',
  },
});
console.log(result);
// Response:
// {
//   "product_name": "Your Product Name",
//   "sku": "SKU-12345",
//   "advertised_price": 89.99,
//   "seller_name": "Discount Retailer",
//   "is_promotion": false
// }
// Compare advertised_price against your MAP threshold (e.g. $99.99) to flag violations.

<?php
// composer require webscraping-ai/webscraping-ai-php
// https://packagist.org/packages/webscraping-ai/webscraping-ai-php
require 'vendor/autoload.php';

use WebScrapingAI\Client;

$client = new Client('YOUR_API_KEY');
$result = $client->fields('https://retailer-site.com/product/your-product', [
    'product_name'     => 'Product name',
    'sku'              => 'Product SKU or model number',
    'advertised_price' => 'The displayed selling price as a number',
    'seller_name'      => 'Name of the seller or retailer',
    'is_promotion'     => 'Whether this is a promotional price (true/false)',
]);
print_r($result);
// Response:
// {
//   "product_name": "Your Product Name",
//   "sku": "SKU-12345",
//   "advertised_price": 89.99,
//   "seller_name": "Discount Retailer",
//   "is_promotion": false
// }
// Compare advertised_price against your MAP threshold (e.g. $99.99) to flag violations.

# gem install webscraping_ai
# https://rubygems.org/gems/webscraping_ai
require 'webscraping_ai'

client = WebScrapingAI::Client.new(api_key: 'YOUR_API_KEY')
result = client.fields(
  'https://retailer-site.com/product/your-product',
  fields: {
    product_name:      'Product name',
    sku:               'Product SKU or model number',
    advertised_price:  'The displayed selling price as a number',
    seller_name:       'Name of the seller or retailer',
    is_promotion:      'Whether this is a promotional price (true/false)',
  }
)
puts result.inspect
# Response:
# {
#   "product_name": "Your Product Name",
#   "sku": "SKU-12345",
#   "advertised_price": 89.99,
#   "seller_name": "Discount Retailer",
#   "is_promotion": false
# }
# Compare advertised_price against your MAP threshold (e.g. $99.99) to flag violations.

// go get github.com/webscraping-ai/webscraping-ai-go/v4
// https://pkg.go.dev/github.com/webscraping-ai/webscraping-ai-go/v4
package main

import (
    "context"
    "fmt"

    webscrapingai "github.com/webscraping-ai/webscraping-ai-go/v4"
)

func main() {
    client, _ := webscrapingai.NewClient(&webscrapingai.Config{APIKey: "YOUR_API_KEY"})
    result, _ := client.Fields(context.Background(), &webscrapingai.FieldsOptions{
        URL: "https://retailer-site.com/product/your-product",
        Fields: map[string]string{
            "product_name": "Product name",
            "sku": "Product SKU or model number",
            "advertised_price": "The displayed selling price as a number",
            "seller_name": "Name of the seller or retailer",
            "is_promotion": "Whether this is a promotional price (true/false)",
        },
    })
    fmt.Println(result.Result)
}
// Response:
// {
//   "product_name": "Your Product Name",
//   "sku": "SKU-12345",
//   "advertised_price": 89.99,
//   "seller_name": "Discount Retailer",
//   "is_promotion": false
// }
// Compare advertised_price against your MAP threshold (e.g. $99.99) to flag violations.

// Maven: ai.webscraping:webscraping-ai:4.0.0
// https://central.sonatype.com/artifact/ai.webscraping/webscraping-ai
import ai.webscraping.Client;
import ai.webscraping.Config;
import ai.webscraping.option.FieldsOptions;
import ai.webscraping.result.FieldsResult;

Client client = new Client(Config.builder().apiKey("YOUR_API_KEY").build());
FieldsResult result = client.fields(FieldsOptions.builder()
    .url("https://retailer-site.com/product/your-product")
    .addField("product_name", "Product name")
    .addField("sku", "Product SKU or model number")
    .addField("advertised_price", "The displayed selling price as a number")
    .addField("seller_name", "Name of the seller or retailer")
    .addField("is_promotion", "Whether this is a promotional price (true/false)")
    .build());
System.out.println(result.getResult());
// Response:
// {
//   "product_name": "Your Product Name",
//   "sku": "SKU-12345",
//   "advertised_price": 89.99,
//   "seller_name": "Discount Retailer",
//   "is_promotion": false
// }
// Compare advertised_price against your MAP threshold (e.g. $99.99) to flag violations.

// dotnet add package WebScrapingAI
// https://www.nuget.org/packages/WebScrapingAI
using WebScrapingAI;

var client = new WebScrapingAIClient(new WebScrapingAIClientOptions { ApiKey = "YOUR_API_KEY" });
var result = await client.FieldsAsync(new FieldsRequest {
    Url = "https://retailer-site.com/product/your-product",
    Fields = new Dictionary<string, string> {
        ["product_name"] = "Product name",
        ["sku"] = "Product SKU or model number",
        ["advertised_price"] = "The displayed selling price as a number",
        ["seller_name"] = "Name of the seller or retailer",
        ["is_promotion"] = "Whether this is a promotional price (true/false)",
    },
});
Console.WriteLine(result.Result);
// Response:
// {
//   "product_name": "Your Product Name",
//   "sku": "SKU-12345",
//   "advertised_price": 89.99,
//   "seller_name": "Discount Retailer",
//   "is_promotion": false
// }
// Compare advertised_price against your MAP threshold (e.g. $99.99) to flag violations.

Benefits of MAP Monitoring

Protect Brand Value: Prevent price erosion that cheapens your brand perception.

Support Partners: Help compliant retailers compete fairly.

Preserve Margins: Stop the race to the bottom on pricing.

Identify Violators: Know exactly who is breaking your MAP policy.

Gather Evidence: Document violations for enforcement actions.

Industries Using MAP Monitoring

Consumer Electronics

Protect margins on TVs, audio equipment, and gadgets

Sporting Goods

Maintain brand value for premium athletic brands

Home Appliances

Monitor appliance retailers for pricing compliance

Luxury Goods

Protect premium positioning and authorized dealer networks

Related Use Cases

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MAP Compliance Monitoring at Scale