Extralt
AI-powered crawling and product data enrichment platform for e-commerce. The official claims that AI will write crawlers for each store and verify them on real pages. The collected results are unified into English standard fields and Shopify categories. It supports cross-store matching, price and inventory analysis, and can be queried through APIs, SDKs and MCP.
Updated: 2026-10-27
What is Extralt?
Extralt's official positioning is "Automating product data and answers", focusing on cross-store e-commerce data collection, cleaning and analysis. It uses AI to write crawlers for each target store and verifies them on real pages, unifies the collection results into English standard fields and Shopify standard categories, then matches products, variants and offers across stores for comparison, and traces changes in prices, inventory and reviews.
Who is it for?
- E-commerce pricing teams that need to continuously monitor competitor prices and inventory.
- Cross-border sellers and agents who conduct multi-channel product stocking and product selection analysis.
- Data engineers who need to integrate product data into internal systems or AI Agents.
- Operations teams that only want the resulting data and don’t want to maintain crawler infrastructure.
Key features
6AI-generated crawlers and code execution
The official states that AI first reverses the store's internal APIs, then writes and compiles the extraction code once using Rust. After that, it runs purely on code for every page, without calling the model page by page, and will always get the same results for the same page.
Real Page Verification
Before a crawler goes live, it must extract all fields from 3 actual product pages, and any fabricated or hard-coded values are not allowed.
Cross-store Data Enrichment
Clean up the Capture data from each store into a unified Item: normalize brand, size, price, inventory and category, and match them into cross-store comparable offers.
Four Built-in Analyses
The official claims to offer four types of analyses: price position, price changes, inventory changes, and category overlap. It also allows Agents to query data, and every number can be linked back to the source page.
Anti-scraping & Self-healing
Uses residential IPs from the target country; retries with a new fingerprint when encountering challenges like Cloudflare or DataDome; automatically stops, rebuilds, and resumes operation when crawlers fail due to page redesigns.
Open Query
The data is stored in ClickHouse, with REST API, SDK, MCP and file export available, and the official states that the OpenAPI specification is public.
How to use Extralt
- The free plan includes 3,000 credits.
- First, submit a store URL to complete the collection, then expand to cross-store comparison.
- Use the rule that "failed pages are not charged" to run a full crawl first, then adjust the plan based on the failure rate.
- Review the source links and timestamps of the analysis results to confirm that the price and inventory snapshots meet expectations.
- Integrate the four built-in analyses into dashboards via APIs, and have the Agent query on-site for temporary issues.
- Verify official pricing and terms before commercial use and confirm if the target site allows crawling..
- Sitemaps, directory pages, residential IPs, protected sites and error pages are not charged.
- AI-powered crawler building and automatic repair are also included.
- The free Start plan includes 3,000 credits (valid for 30 days) and supports Shopify, WooCommerce, Wix and Salesforce Composable Storefront, with one store per run.
- the Scale plan ranges from $30 to $1,000 per month, with lower unit prices for more credits.
- During crawling, it first reverses the store's internal APIs (Shopify, WooCommerce, Wix, etc.
- have native routes), maps the catalog, then writes extractors in Rust and compiles them into native libraries.
- It uses residential IPs from the country where the store is located during operation.
- When encountering anti-crawling challenges, it retries with changed fingerprints and IPs.
- If the quality score drops below the threshold due to site updates, it will automatically pause, rebuild the crawler and resume operation.
Traffic & popularity
Data month Sep 2026
Extralt receives about 4.4K visits per month and ranks #4,259,963 worldwide.
Monthly visits
9 monthsTraffic sources
- Direct30.0%
- Search28.0%
- Referrals12.6%
- Display ads8.7%
- Social6.9%
- Other13.9%
Top countries
- United States100.0%
Estimated from third-party traffic data.
