The Extralt pipeline - Extralt Docs

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.

Extract

Collect source-backed product data.

Extract runs source-specific compiled logic against supported public product and catalog pages. It returns Captures with source URLs, observation times, product content, options, SKUs, embedded source commerce data, ratings, media, and page-level price and availability summaries.

Extract is useful independently when the job is to collect recurring, source-backed product data without maintaining source-specific crawler code.

Enrich

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. Final materialization is included and consumes no additional credits. Matching quality depends on available identifiers and product evidence.

Explore

Search, compare, and analyze.

Explore currently provides:

dataset overview and filter facets;
current market rows grouped by exact Variant, country, and currency;
price and availability changes;
Variant detail with current Offers and observed history.

Explore is in beta. Pre-built price, availability, and assortment Analyses are not implemented yet.

The core principle

Extract costs 2 credits per successful Capture, and Enrich costs 1 credit per Capture. Final materialization and dataset reads through the available surfaces are included for the customer dataset.

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