Instead of customer-maintained scrapers
Managed extraction
Extralt generates, validates, and runs source-specific extraction so your team does not maintain selectors or crawler code.
- generated
- validated
- operated
Extract, enrich, and compare product data across stores
Stop maintaining ecommerce scrapers. Extralt manages the pipeline from public product pages to structured, comparable data your team can inspect, query, and reuse.
Why Extralt
Recurring ecommerce data needs more than collection. The source has to keep working, records need one structure, and every observation needs to remain usable.
Instead of customer-maintained scrapers
Extralt generates, validates, and runs source-specific extraction so your team does not maintain selectors or crawler code.
Instead of site-by-site schemas
Titles, options, identifiers, offers, sellers, availability, and reviews follow the same ecommerce structure across stores.
Instead of periodic third-party databases
Run extraction when the data matters to you. Keep the source URL and observation time behind every successful Capture.
Instead of closed monitoring dashboards
Inspect raw and processed records, use the available API and SQL surfaces, or export Captures as JSON or Parquet.
Product data, fully managed
Most scraping tools give your team components to assemble and operate. With Extralt, you provide the website. We extract, enrich, and store the product data, ready for you to query.
With a scraping stack, you need to
With Extralt, give us
The pipeline
Collect product pages, normalize their data, and connect equivalent products across stores without losing the source evidence. Use the resulting data to monitor prices and availability, compare assortments, and follow catalog changes.
Collect public product pages and catalogs as structured Captures with their source URL and observation time.
Output: Source-backed captures
Produce one Item per Capture with normalized taxonomy, attributes, options, identifiers, offers, reviews, and product signals, then connect equivalent products and variants across stores.
Output: Enriched Items and cross-store relationships
Beta
Browse current markets, changes, variants, offers, and history. Use the available query and export paths for deeper analysis.
Output: Views and data access
What it enables
Start with the recurring data job. Extralt provides the extraction, ecommerce structure, source evidence, and access beneath it.
Ecommerce web scraping
Run recurring extraction across ecommerce stores and markets. Keep structured Captures, source URLs, and observation times without maintaining crawler code.
Explore the use casePrice and availability monitoring
Use observed price, compare-at price, availability, stock, seller, country, source, and timestamp data in your own monitoring workflows.
Explore the use caseProduct data enrichment
Turn inconsistent page content into structured taxonomy, attributes, identifiers, options, offers, reviews, and product signals.
Explore the use caseAssortment and catalog analysis
Analyze observed catalog coverage and changes by store, market, brand, category, price tier, and availability.
Explore the use casePricing
7-day free trial with 5,000 credits included
Add a public product or catalog URL and choose its market. Extralt handles the extraction and gives you structured product data you can enrich, compare, and reuse.
Start extracting