Instead of customer-maintained scrapers
Managed extraction
Extralt generates, validates, and runs a custom crawler for each supported website, so your team does not maintain selectors or crawler code.
- generated
- validated
- operated
Beyond ecommerce scraping
From product pages to cross-store analysis.
Extralt collects and connects product data from the websites you choose. Built-in analyses compare prices, show availability changes, and reveal assortment gaps. No scraper code. No SQL.
Why Extralt
Scraping gets the page. Extralt makes the product data usable.
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 site-by-site schemas
One ecommerce model
Titles, options, identifiers, offers, sellers, availability, and reviews follow the same ecommerce structure across stores.
- products
- options
- offers
- reviews
Instead of periodic third-party databases
Fresh observations
Run extraction when you need a new snapshot. Compare observations over time and inspect the original URL and timestamp for every successful result.
- source URL
- observed at
- history
Instead of closed monitoring dashboards
Data you can use
Inspect raw and enriched product data, query the supported API and SQL surfaces, or export extracted records as JSON or Parquet.
- dashboard
- API
- SQL
- JSON
- Parquet
Product data, fully managed
Skip the scraping project.
Most scraping tools give your team components to assemble and operate. With Extralt, you provide the website. We extract, enrich, and connect the product data so you can inspect, compare, or query it.
With a scraping stack, you need to
- Design the extraction schema
- Write extraction scripts
- Handle dynamic pages
- Manage crawlers
- Run browsers and sessions
- Configure proxies
- Handle retries and failures
- Monitor extraction quality
- Repair site changes
With Extralt, give us
- 01a URL
- 02a few minutes
The pipeline
From a public product page to data you can compare
Collect product pages, standardize their data, and connect equivalent variants across stores. Keep the original URL and observation time behind the results while you monitor prices and availability, compare assortments, and follow changes.
- 01
Extract
Collect public product pages and catalogs as structured records with the original URL and observation time.
Output: Product-page and catalog data you can inspect
See managed ecommerce scraping - 02
Enrich
Standardize taxonomy, attributes, options, identifiers, offers, and reviews, then connect equivalent products and exact variants across stores when the evidence supports a match.
Output: Normalized products and cross-store relationships
See product data enrichment - 03
Explore
Inspect current markets and changes, run repeatable price, availability, and assortment analyses, or ask custom questions across the connected product data.
Output: Comparable results with coverage and underlying records
See ecommerce data analysis
What it enables
Built for recurring ecommerce data work
Start with the recurring data job. Extralt manages the collection, standardizes the product data, and keeps the underlying records available to inspect or reuse.
Ecommerce web scraping
Collect product data without maintaining scrapers
Run recurring extraction across ecommerce stores and markets. Keep structured product-page records, original URLs, and observation times without maintaining crawler code.
See ecommerce web scrapingPrice and availability monitoring
Track competitor prices and availability over time
Compare current price position, find price and availability changes, and inspect the offer history and underlying records behind each result.
See price and availability monitoringProduct data enrichment
Make product data consistent across stores
Standardize taxonomy, attributes, options, identifiers, offers, and reviews, then connect equivalent products and exact variants when the evidence supports a match.
See product data enrichmentAssortment and catalog analysis
Find overlap and gaps in the catalogs you observe
Compare exact observed assortments across stores and inspect catalog coverage and changes by market, brand, category, price tier, and availability.
See assortment analysisPricing
Pay for successful product data, not scraping overhead
- Extract
- 2 credits/Capture
- Charged only when a product page is successfully extracted.
- Enrich
- +1 credit/Capture
- Charged only for the Captures you choose to enrich.
- Explore
- Included
- Supported dashboard, API, SQL, export, and agent queries over your dataset use no credits.
Capture + Enrich costs 3 credits. Failed attempts, crawler generation, browser rendering, retries, and maintenance use no credits.
Start
$29/month
7-day free trial with 5,000 credits included
- _10,000 credits
- _1 run at a time
- _Email support
Scale 300k
$300/month
- _300,000 credits
- _Unlimited concurrent runs
- _Priority support
- _Credit top-up available ($1.50/1,000 credits)
Frequently asked questions
Start with the ecommerce pages you need
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