Documentation
Extralt goes beyond ecommerce scraping. Extract public product and catalog pages, enrich the resulting Captures into normalized Items, connect records across stores, and inspect the customer dataset through the dashboard and API.
The documentation separates three things that are easy to confuse:
- operations such as Robots, Runs, Schedules, Imports, and Enrichments;
- data such as Captures, Items, Products, Variants, Listings, Offers, Reviews, Stores, and Changes;
- access surfaces such as dashboard views, API resources, exports, dashboard AI queries, and the dashboard agent.
Getting started
New to Extralt? Start with the introduction, then follow the guides for account setup, robots, imports, and scheduling.
Introduction
Understand the product, pipeline, and boundaries.
Guides
Run extraction, enrichment, exploration, and agent workflows.
Data
Grains, lineage, query fields, relationships, and interpretation rules.
Using the API
Authentication, request conventions, workflows, and limits.
Concepts
How Extralt works under the hood.
Reference
Precise definitions for operations and analytical entities.
Key concepts
The platform follows three stages: Extract collects source-backed Captures, Enrich produces normalized Items and publishes their cross-store relationships, and Explore exposes current market, change, Variant, Offer, and history views. Explore is in beta.