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What is e-commerce tracking?

E-commerce tracking with the ChatGPT Scraper API enables you to monitor how ChatGPT surfaces, recommends, and presents product information to users. With automatic shopping card extraction, you can capture comprehensive product data including prices, ratings, merchant information, and promotional details without any additional configuration.
Shopping cards are automatically extracted when available at no additional cost. They’re included by default in the response structure whenever ChatGPT returns product or commercial information.

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Why use ChatGPT for e-commerce monitoring?

As AI assistants become primary discovery tools for consumers, understanding how ChatGPT presents and recommends products is crucial for:
  • Product visibility: Track how your products appear in AI-generated recommendations
  • Competitive intelligence: Monitor how competitor products are positioned
  • Price monitoring: Compare pricing across different merchants and marketplaces
  • Marketing optimization: Understand which products ChatGPT highlights in responses

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Key features for e-commerce tracking

Shopping cards

Automatically extract structured product data including titles, prices, ratings, reviews, images, and merchant information

Multiple offers

Compare prices across different merchants for the same product with detailed offer breakdowns

Rating citations

Track the source of product ratings and supporting websites to verify data authenticity

Promotional tags

Identify special offers like “Best price” or promotional deals automatically

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Shopping card data structure

Each shopping card includes comprehensive product information:
  • Product details: Title, URL, price, category tags, and unique identifier
  • Visual assets: Product image URLs for display and analysis
  • Social proof: Ratings (0-5 scale), number of reviews, and rating sources
  • Merchant data: Store names, availability status, and delivery information
  • Offer comparison: Multiple pricing options with base and total price breakdowns
  • Stock information: Real-time availability and checkout status
Use the products[].offers[] array to compare prices across merchants and identify the best deals for your customers.

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Practical workflow

Here’s how you can implement e-commerce tracking in your application: Send prompts about products, recommendations, or comparisons: 
import requests

payload = {
    'prompt': 'What are the best wireless headphones under $200?',
    'country': 'US'
}

response = requests.post(
    'https://api.cloro.dev/v1/monitor/chatgpt',
    headers={'Authorization': 'Bearer YOUR_API_KEY'},
    json=payload
)

data = response.json()

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Step 2: Extract shopping cards

Access the shopping cards array to retrieve product information: 
if 'shoppingCards' in data['result']:
    for card in data['result']['shoppingCards']:
        for product in card['products']:
            print(f"Product: {product['title']}")
            print(f"Price: {product['price']}")
            print(f"Rating: {product['rating']} ({product['numReviews']} reviews)")
            print(f"Merchant: {product['merchant']}")
            
            # Compare offers from different merchants
            for offer in product['offers']:
                print(f"  - {offer['merchant_name']}: {offer['price']}")
                if 'tag' in offer:
                    print(f"    Tag: {offer['tag']['text']}")

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Step 3: Monitor and analyze

Track product visibility and pricing trends over time:
  • Monitor which products appear in ChatGPT recommendations
  • Track price changes across merchants
  • Identify promotional patterns and best price indicators
  • Analyze product positioning and recommendation frequency
Set an appropriate timeout (120-180 seconds) when making requests, as ChatGPT responses may take time to generate depending on complexity.

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Use cases

Product recommendation tracking

Monitor how often your products appear in ChatGPT recommendations compared to competitors

Price intelligence

Track pricing across merchants and identify opportunities for competitive pricing strategies

Marketing intelligence

Understand which product features and benefits ChatGPT emphasizes in responses

Product research

Extract structured product data for competitive analysis and market research

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Next steps

Explore other use cases for the ChatGPT Scraper API:

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