01
Source evidence
Keep the original URLs, raw captures, and observation times behind every run.
source URLsraw capturestimestamps
Ground truth for
ecommerce intelligence
Ask a market question.
Extralt does the data work.
For pricing, assortment, catalogs, or sellers, Extralt builds the source-backed product data behind the answer: extracted pages, enriched records, matched listings, offers, and exports.
02
Product intelligence
Turn messy product pages into normalized records with taxonomy, attributes, options, offers, and reviews.
taxonomyattributesoffers
03
Matched market view
Resolve the same products across sellers so listings, variants, prices, and availability can be compared.
productslistingsoffers
04
Queryable answers
Ask in the workspace, query with SQL or API, or export the product data into your own systems.
workspaceAPIexports
Questions Extralt can answer
Start with the question your team already has. Extralt answers it from source URLs, extracted product data, matched listings, and offer history your team can inspect.
Can we collect product data without maintaining scrapers?
Extract public ecommerce pages into source-backed captures, then send them through the same enrichment and matching pipeline.
Open the workflowWhich tracked products changed price this week?
Query offer history with seller, URL, country, price, stock, and observation time preserved for every change.
Open the workflowWhere is a competitor expanding its catalog?
Track source-backed listing movement by category, brand, price tier, availability, and seller across the open web.
Open the workflowCan these messy product pages become one clean schema?
Turn page text into normalized product records: titles, taxonomy, attributes, options, offers, reviews, and evidence.
Open the workflowWhere else can this exact product be bought?
Use matched products, variants, listings, and offers to compare alternate sellers before checkout.
Open the workflowHow ground truth gets built
Extract keeps the source evidence. Enrich normalizes the product data. Extend resolves products across sellers. Explore makes the resulting dataset queryable.
01
Extract
Source data
Collect public product pages or import catalogs. Keep the original source data so the answer can be checked later.
02
Enrich
Product intelligence
Turn messy product pages into normalized product intelligence: taxonomy, attributes, options, offers, reviews, and signals.
03
Extend
Matched market view
Resolve the same product across stores and sellers, including variants, listings, offers, reviews, and price history.
04
Explore
Answer
Ask questions in the workspace, query the data directly, or export the results into your own systems.
Start guided. Go deeper when you need to.
Get the answer
Ask the market question in plain English. Extralt decides what to collect, how to process it, and which product relationships matter before returning an answer with sources attached.
- No scraper code
- No SQL required
- Source evidence included
Own the data
Open the same work as jobs, captures, enriched records, matched products, listings, offers, APIs, SQL, and exports. Technical teams can inspect and reuse the dataset directly.
- Raw and processed data
- Product identity tables
- API, SQL, JSON, Parquet, and exports
Why Extralt
- Guided, not black box
- ExtraltExtralt can plan the work from a question. You can still see the sources and data behind the answer.
- Typical alternativefor non-technical workflows
- Ecommerce-only data model
- ExtraltProduct pages, SKUs, sellers, offers, reviews, variants, listings, and price history are first-class concepts, not strings in a generic scrape.
- Typical alternativevs. generic web scraping
- Control when you need it
- ExtraltUse the workspace for answers. Use the source data, matched product records, API, SQL, and exports when you need more control.
- Typical alternativevs. closed dashboards
- Ground truth across sellers
- ExtraltExtralt observes the open web, normalizes what products are, and resolves when different sellers list the same exact variant.
- Typical alternativevs. merchant feeds
Pricing
Extract and Enrich use credits. Extend and Explore are free.
- Extract
- 2 credits/Capture
- Raw structured ecommerce data as found on the crawled webpage. One successful result produces one Capture.
- Enrich
- 1 credit/Capture
- Normalize to English, classify with industry-standard taxonomy, extract attributes and signals, and prepare data for Extend.
- Extend
- Free
- Match the same product across sellers and publish products, variants, listings, offers, reviews, and stores.
- Explore
- Free
- Query products, variants, listings, offers, reviews, stores, and price history in your own dataset.
- AI assistant
- Usage-based
- Ask questions and operate workflows from chat. Messages use credits based on model usage.
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)
FAQ
Product scope, source coverage, data access, and pricing.
Build product intelligence from the open web
Extract source data, enrich it into a consistent ecommerce schema, match products across sellers, and query the result in your own workflows.