ExtraltExtralt

Ground truth for
ecommerce intelligence

Product data from any ecommerce site.Extracted, classified, and matched across sellers.Analytics-ready out of the box.

From raw data to market insight

Extract works on its own as ecommerce scraping infrastructure if you just need the raw data.
Each step after it adds intelligence, from product classification to cross-seller matching to full market queries.

1/ Extract

What's actually on the page

A growing library of crawlers, compiled code speed. Popular sites covered instantly, new sites added in minutes. Anti-bot, proxies, and retries handled automatically.

  • _One schema works across many websites
  • _Full product catalogs, extracted fast
  • _Automatic proxy rotation and anti-bot bypass
  • _Export as JSON, CSV, or via product data API
Captures

2/ Enrich

What the product actually is

Translate to English, classify with industry-standard taxonomies. Extract category-specific attributes and market signals. Generate product variants.

  • _Normalize to canonical English
  • _Industry-standard taxonomy classification
  • _Category-specific attribute extraction
  • _Market signal extraction
Variants + Listings

3/ Extend

Same product, different sellers

Connect products across the web. Alternate listings (same product, different sellers). Alternative products. Complements.

  • _Alternate listings across sellers
  • _Alternative product discovery
  • _Complement product suggestions
  • _Cross-catalog product graph
Product Graph

4/ Explore

Answers you can trust

Single products, relationships, or market-wide aggregations. Semantic search, price comparison, analytics.

  • _Single product lookups
  • _Relationship traversal
  • _Market-wide aggregations
  • _Competitive intelligence dashboards

Built for Agent Builders

// Best price response
{
  "product": "Nike Air Force 1 '07",
  "sellers": [
    { "name": "nike.com", "price": 115.00 },
    { "name": "footlocker.com", "price": 115.00 },
    { "name": "amazon.com", "price": 89.99 }
  ],
  "best_price": {
    "seller": "amazon.com",
    "price": 89.99,
    "savings": "22%"
  }
}
PRODUCT: Nike Air Force 1 '07
SKU: CW2288-111

PRICE MONITORING (7 days)
────────────────────────────────────────
nike.com        $115.00  ━━━━━━━━━━━━━━
footlocker.com  $115.00  ━━━━━━━━━━━━━━
amazon.com       $89.99  ━━━━━━━━━━ ↓22%
stockx.com      $102.00  ━━━━━━━━━━━━

⚠ Unauthorized seller detected: cheapkicks.co
  Price: $74.99 | MAP violation
CATEGORY: Running Shoes
MARKET: US

COMPETITOR PRICING ANALYSIS
────────────────────────────────────────
Your price     $129.99  ━━━━━━━━━━━━━━━
Market avg     $124.50  ━━━━━━━━━━━━━
Lowest         $109.99  ━━━━━━━━━

↑ 3 competitors dropped prices this week
↓ 2 items now out of stock at amazon.com
// Market query
{
  "query": "running shoes under $150",
  "market": "US",
  "results": 2847,
  "price_distribution": {
    "p25": 89.99,
    "p50": 119.99,
    "p75": 139.99
  },
  "top_brands": ["Nike", "Adidas", "New Balance"]
}

The discovery layer for ecommerce agents.

  • _Best price discovery across sellers
  • _Product recommendations and alternatives
  • _Complement suggestions for bundles

Price monitoring across every reseller.

  • _Track pricing and MAP compliance across the web
  • _Detect unauthorized sellers
  • _Verify product representation and listings

Competitor price monitoring across your market.

  • _Competitive pricing intelligence on any schedule
  • _Track assortment gaps and stock changes
  • _Benchmark your catalog against the market

Structured product data for market research.

  • _Query pricing and availability across categories
  • _Track competitive trends over time
  • _Export as JSON, Parquet, or connect via API

Why Extralt

01

ECOMMERCE SPECIALIZED

vs. generic scrapers

Purpose-built ecommerce scraping. Product catalogs, pricing, and availability — extracted into a consistent schema across every site. No per-site configuration.

02

AI-BUILT, COMPILED-RUN

vs. runtime AI scrapers

AI generates each crawler. Compiled Rust executes it. LLM intelligence at native code speed.

03

GROUND TRUTH

vs. merchant feeds

Each step in the pipeline resolves a layer of uncertainty. What's on the page. What the product is. That two listings are the same. Analytics-ready product intelligence, not raw data to interpret yourself.

Pricing

Pay to build. Explore for free.

Extract
1 credit/URL

Structured ecommerce data as found on the crawled webpage, in the original language.

Enrich
1 credit/Capture

Translate to English, classify with industry-standard taxonomy, extract attributes, and generate product variants.

Extend
Free

Match the same product across sellers, find alternatives, and discover complements.

Explore
Free

Search, query, and analyze your enriched dataset. Price comparison, alternative discovery, and analytics.

Start
$29/month

7-day free trial with 5,000 credits included

  • _10,000 credits
  • _1 run at a time
  • _Email support
Scale 300k
$300/month
  • _300,000 credits
  • _Unlimited concurrent runs
  • _Priority support
  • _Credit top-up available ($1.50/1,000 credits)

FAQ

Start extracting product data

Structured ecommerce data from any site. Free trial included.

Start extracting