Extralt

AI that writes a self-maintaining crawler per store and turns any ecommerce site into clean, matched product data.

Freemium Education & Learning
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What is Extralt?

Extralt extracts structured product data from any ecommerce site, normalizes it to one schema and taxonomy, and matches the same product across sellers. An AI studies each store once, writes and validates its crawler (compiled to Rust), and rebuilds it automatically when the site changes — so runs execute compiled code rather than per-page model calls. Data lands in a queryable store with price-position, price-movement, availability and assortment analyses, plus a REST API and MCP server for agents.

Key features

  • AI-written crawlers per store, compiled to native code — no model call per page
  • Structured extraction of titles, prices, availability, variants, reviews and media
  • Enrichment: English normalization and Shopify Standard Product Taxonomy classification
  • Cross-seller product matching into products, variants, listings and offers
  • Self-healing crawlers — runs pause before bad data and AI rebuilds the crawler
  • Explore analyses: price position, price movements, availability changes, assortment overlap
  • Ask-the-agent Q&A over your data with inspectable read-only SQL
  • REST API with OpenAPI spec plus an MCP server for agents

Pros

  • No scraper maintenance — crawlers are built, validated and repaired automatically
  • Flat per-page credit pricing regardless of anti-bot difficulty
  • Full provenance: every value traceable to the page and URL it came from
  • API and MCP access for data products and agent workflows

Cons

  • Coverage depends on crawler validation — not every site is guaranteed
  • Usage-based credits can be hard to budget for large crawls
  • Free tier is limited to 3,000 credits for 30 days

Extralt at a glance

PricingFreemium
CategoryEducation & Learning
Platformsweb, api
Official websiteextralt.com
ecommerceweb-scrapingproduct-dataprice-monitoringmarket-researchapimcpai-agents

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Extralt FAQs

What is Extralt?

Extralt extracts structured product data from any ecommerce site, normalizes it to one schema and taxonomy, and matches the same product across sellers. An AI studies each store once, writes and validates its crawler (compiled to Rust), and rebuilds it automatically when the site changes — so runs execute compiled code rather than per-page model calls. Data lands in a queryable store with price-position, price-movement, availability and assortment analyses, plus a REST API and MCP server for agents.

What are the main features of Extralt?

Extralt offers AI-written crawlers per store, compiled to native code — no model call per page, Structured extraction of titles, prices, availability, variants, reviews and media, Enrichment: English normalization and Shopify Standard Product Taxonomy classification, Cross-seller product matching into products, variants, listings and offers, Self-healing crawlers — runs pause before bad data and AI rebuilds the crawler, Explore analyses: price position, price movements, availability changes, assortment overlap, Ask-the-agent Q&A over your data with inspectable read-only SQL and REST API with OpenAPI spec plus an MCP server for agents.

How much does Extralt cost?

Extralt follows a freemium model: a free tier is available, and paid plans unlock higher limits and advanced features. Check its official website for current plan prices.

What are the pros and cons of Extralt?

Strengths of Extralt include No scraper maintenance — crawlers are built, validated and repaired automatically; Flat per-page credit pricing regardless of anti-bot difficulty; Full provenance: every value traceable to the page and URL it came from. On the downside, Coverage depends on crawler validation — not every site is guaranteed; Usage-based credits can be hard to budget for large crawls; Free tier is limited to 3,000 credits for 30 days.