From product pagesto cross-store analysis.

Collect and connect data from the online stores you choose. Work with consistent product details, availability, and offer history to build applications and analyze the catalogs you follow.

7-day free trial · 5,000 credits · Plans from $29/month

Bring your data. See what it can tell you.

Bring data in

  • Websites

    Product pages & catalogs

  • Files

    CSV, JSON & JSONL

Explore
Choose an example question

Same product. Different prices.

France · EUR · New condition

Available prices for matching variants in the sample dataset
Matched variantNorthFieldTempo
Lowest available price: €129.99€139.99€134.99
€119.99Lowest available price: €109.99Out of stock
Lowest available price: €99.99€109.99€104.99

Highlighted prices are the lowest available. Out-of-stock offers are excluded.

Behind the comparisonNike Air Max 90 / Black / EU 42Inspect 3 original records

Different page titles, one model, color, and size. Matching makes these listings comparable.

  • North€129.99 · In stock

    Nike Air Max 90 — Black, size 42

    https://north.example/products/air-max-90-black-42

  • Field€139.99 · In stock

    Air Max 90 by Nike / Black / EU42

    https://field.example/products/nike-am90-black-eu42

  • Tempo€134.99 · In stock

    NIKE Air Max 90 Black • 42

    https://tempo.example/products/airmax90-black-42

Sample observation: 7 Sep 2026, 09:00 UTC. Store names, URLs, and prices are illustrative.

Need fresh data? Your agent prepares collection and enrichment. You approve the work.

Example request

“Collect up to 100 product pages from each of these three stores in France, then enrich the results.”

Plan for your review

  1. 01 · Validate crawlers for the three stores.
  2. 02 · Extract up to 300 product pages.
  3. 03 · Enrich and match the collected products.

Up to 900 credits. Only successful results are charged.

Put data to work

  • Dashboard & AI

    Analyze and compare

  • API & SQL

    Query and integrate

  • JSON & Parquet

    Export extracted data

How it comes together

Build your dataset. Choose what comes next.

Start with the stores your work depends on. Collect their records, give them a shared structure, then use the data in Extralt or your own application.

  1. Extract

    Get the records. Skip the scraping project.

    Choose a store and market. Extralt builds, validates, and runs the crawler. Your team gets structured product records without maintaining the scraping infrastructure.

    Feed your application.

    Use records in your application or export JSON and Parquet. Collect fresh snapshots with their source and observation time preserved.

    Collect data
    Store pagesSample · France
    north.example / products
    Generate crawlerValidate outputCollect pages

    A captured record

    Nike Air Max 90 — Black, size 42

    €129.99In stock

    north.example/products/air-max-90-black-42

    Observed 7 Sep 2026 · 09:00 UTC

    You now have records from each store. Next, give them a shared structure.

  2. Enrich

    Different stores. A shared product model.

    Store titles and formats vary. Enrich standardizes the details and connects matching products and variants across stores, while preserving each store’s offers.

    Add stores without remapping every catalog.

    Work with consistent attributes across your stores. Group products by brand or category and compare matching models, colors, and sizes.

    Enrich data
    Records from different storesSample

    North

    Nike Air Max 90 — Black, size 42

    Field

    Air Max 90 by Nike / Black / EU42

    Normalize & match

    One matched variant

    Nike Air Max 90

    Color
    Black
    Size
    EU 42

    Store offers stay separate. Original records stay available.

    Your records now share a structure. Use them together to explore the catalogs you collect.

  3. Explore

    Follow changes. Find the evidence.

    Explore the dataset you’ve built. Find gaps in the catalogs you follow, investigate availability, and compare offers for matching products. Collect again to see what changed.

    Trace answers to the original observations.

    Use the dashboard or ask the agent, then inspect the observations behind each result. Bring the data into your own tools through the API and SQL.

    A price change over timeSample · EUR

    Nike Air Max 90

    North · Black · EU 42

    1 Sep
    €139.99
    7 Sep
    €129.99

    Same variant. Lower price.

    €10.00

    Inspect the original observation

    north.example/products/air-max-90-black-42

    Observed 7 Sep 2026 · 09:00 UTC · France

    €129.99 · In stock

Pricing

Pay for successful product data

Extract
2 credits / product page
Charged only when a product page is successfully extracted.
Enrich
+1 credit / product page
Charged only when a product page is successfully enriched.
Explore
Included
Compare prices, availability, and assortments in your enriched dataset. Queries use no credits.

Extract + Enrich costs 3 credits per successfully extracted and enriched product page. Failed attempts, crawler generation, browser rendering, retries, and maintenance use no credits.

Start

For your first recurring product dataset.

$29/month

7-day free trial with 5,000 credits included

  • 10,000 credits
  • 1 run at a time
  • Email support

What this covers each month

Extract only
5,000 pages
Extract + Enrich
3,333 pages

Up to these amounts when all credits go to either workflow. Each successful refresh counts again.

Scale 300k

For more stores, larger catalogs, and parallel collection.

$300/month
  • 300,000 credits
  • Unlimited concurrent runs
  • Priority support
  • Credit top-up available ($1.50/1,000 credits)

What this covers each month

Extract only
150,000 pages
Extract + Enrich
100,000 pages

Up to these amounts when all credits go to either workflow. Each successful refresh counts again.

A concrete example

1,000 pages, extracted and enriched

Explore and query the resulting dataset at no additional credit cost.

3,000 credits

2,000 Extract + 1,000 Enrich

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 free trial

7 days to try it with 5,000 credits.