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Extract

AI-generated crawlers, compiled code speed.

What is Extract?

Extract is the foundation of the Extralt pipeline. For each URL, it extracts structured product data using AI-generated crawlers compiled to native Rust code. You describe the data you want, and we handle the crawling, extraction, and delivery.

Why Extract?

Merchant feeds only show what sellers want you to see. Product APIs have limited coverage. To understand the real market, you need ground truth: actual data from real product pages.

Traditional web scrapers are brittle. They break when websites change their HTML. AI-powered scrapers are adaptable but too slow and expensive to run at scale.

Extract is the third way: AI analyzes the website once and generates a purpose-built extractor. You get the adaptability of AI at build time, then run compiled Rust code at extraction time. Real data from the web, not self-reported merchant claims.

How it works

1

Schema - Industry-standard ecommerce data

Every extraction uses a comprehensive, industry-standard ecommerce schema automatically: title, brand, description, images, identifiers, variants, and pricing. No configuration needed. The same schema works across any ecommerce site.

  • Comprehensive ecommerce schema included automatically
  • Consistent structure across every site
  • Pair with Enrich for even richer, standardized data
2

Generate - AI builds a Robot

Our AI agent analyzes the target website. It learns the site structure, navigation patterns, and data extraction logic. Then it compiles a custom crawler in native Rust code.

  • Reverse-engineers website APIs automatically
  • Compiles to native Rust code for maximum speed
  • Continuously adapts when websites change
3

Extract - Run the extraction

Your Robot extracts data at compiled code speed. No runtime AI inference, no LLM calls during extraction. Just fast, reliable data collection.

  • Thousands of pages per minute
  • Real-time progress in your dashboard
  • Export as JSON, CSV, or via API

Base schema

Every extraction includes a comprehensive ecommerce schema. No configuration needed. Pair with Enrich for even richer, standardized output.

Identity

  • id
  • title, subtitle
  • brand
  • description

Classification

  • breadcrumbs
  • categories
  • gender
  • age_group

Media

  • images (with position, variant links)
  • videos
  • release_date

Properties

  • properties_dict (key-value pairs)
  • properties_list (feature bullets)
  • ratings (average, scale, count)

Variants & Pricing

  • options (up to 3 axes)
  • variants with identifiers
  • offers (price, availability)
  • seller, condition

Relationships

  • recommended_products

Here is what a real extraction looks like, from a single product page:

{
  id: "IM4259-133",
  title: "Everyone Watches Women's Sports™",
  subtitle: "Big Kids' T-Shirt",
  brand: "Nike",
  description: "Made in collaboration with TOGETHXR, this soft and roomy cotton tee ...",
  breadcrumbs: "Nike > Graphic Tees > Boys",
  categories: ["Nike", "Nike Sportswear", "Boys", "Girls", "Lifestyle", "Graphic Tees"],
  gender: "BOYS",
  age_group: "Adult",
  release_date: "2025-04-28T14:00:00.000Z",
  images: [
    { position: 1, url: "https://cdn.example.com/tee-front.png", variant_ids: [] },
    { position: 2, url: "https://cdn.example.com/tee-back.png", variant_ids: [] },
    // ...3 more
  ],
  properties_dict: { color: "Sail", style_code: "IM4259-133" },
  properties_list: ["100% cotton", "Printed graphics", "Machine wash", "Imported"],
  ratings: { average: null, count: 0, scale: 5 },
  options: {
    opt1: { name: "Size", values: ["XS", "S", "M", "L", "XL"] },
    opt2: null,
    opt3: null,
  },
  variants: [
    {
      id: "68464c7c-bcb0-5517-976f-aa9a29a91cb2",
      title: "Everyone Watches Women's Sports™ - Size XS",
      opt1: "XS",
      identifiers: { gtin: "00198481185672" },
      offers: [{
        price: { amount: 25.97, currency: "USD", full_amount: 37 },
        availability: { in_stock: true, quantity: "LOW" },
        condition: "new",
        seller: "Nike",
      }],
    },
    // ...3 more variants
    {
      id: "1b1aafa5-e31e-5a38-bc69-29db0c8077ac",
      title: "Everyone Watches Women's Sports™ - Size XL",
      opt1: "XL",
      identifiers: { gtin: "00198481185641" },
      offers: [{
        price: { amount: 25.97, currency: "USD", full_amount: 37 },
        availability: { in_stock: false, quantity: "OOS" },
        condition: "new",
        seller: "Nike",
      }],
    },
  ],
  recommended_products: null,
  videos: null,
}

Infrastructure

We handle all the complexity of large-scale web extraction:

  • Fleet of managed headless browsers
  • Automatic proxy rotation and IP geolocation
  • Anti-bot bypass and fingerprint spoofing
  • Smart retries and error recovery

Use cases

Price monitoring

Track competitor pricing across thousands of products. Get alerts when prices change.

Catalog enrichment

Pull product details, images, and specifications to enrich your own catalog.

Competitive intelligence

Monitor competitor assortment, new launches, and stock availability.

Pricing

1 credit per URL

You only pay for successfully extracted URLs. Failed extractions are not charged.