The Extralt pipeline

Extralt's product pipeline has three stages. Each stage has a distinct output and can be used without pretending the next stage is already complete.

ExtractCopy Anchor Link

Collect product data from ecommerce pages.

Extract runs compiled logic built and validated for a website against supported public product and catalog pages. It returns Captures with the original URLs, observation times, product content, options, SKUs, commerce data, ratings, media, and source prices and availability.

Extract is useful independently when the job is to collect recurring, structured product data without maintaining a custom scraper for every website.

EnrichCopy Anchor Link

Normalize, classify, and publish the analytical model.

Raw extraction gives you data in the source language with varying formats. Enrich:

• Translates product data to English
• Classifies products using an industry-standard taxonomy
• Extracts normalized product signals supported by page evidence
• Maps options and SKU data into one page-grain Item
• Connects exact Products and Variants to Listings, Offers, Reviews, and Stores
• Publishes the complete committed scope before the Enrichment becomes ready

Use the Product Taxonomy Explorer to inspect the category and attribute model Enrich maps products into.

Enrich's paid unit is one successfully normalized Item per Capture. Publishing the connected analytical model is included and consumes no additional credits. Matching quality depends on available identifiers and product evidence.

ExploreCopy Anchor Link

Search, compare, and analyze.

Explore currently provides:

• dataset overview and filter facets;
• current market rows grouped by exact Variant, country, and currency;
• relationship and change evidence;
• Variant detail with current Offers and observed history;
• Price position, Price movements, Availability changes, and Assortment overlap as Analyses;
• custom Query across Products, Variants, Listings, Offers, Reviews, and Stores;
• your own read-only SQL through the API and MCP;
• the same Analyses and Query surface through the dashboard Agent.

The core principleCopy Anchor Link

Extract costs 1 credit per successful Capture, and Enrich costs 1 credit per Capture. Publishing the connected model and reading the customer dataset through the available surfaces are included.

The dashboard Agent and supported AI-assisted dashboard queries are included with a Scale plan and do not consume credits. Work approved through the Agent uses the normal Extract and Enrich credit units.