Marketplaces, stores, and apps

Commerce Data Mining

Get a reliable feed of public commerce data: competitor catalogs, Amazon offers, Magento and Shopify storefronts, and desktop or mobile apps. The data is cleaned, matched, and loaded into the system you already use, or into a collector that keeps running on a schedule.

  • Amazon, Magento, and Shopify storefronts
  • Desktop and mobile apps
  • Loaded into your own systems
Discuss your project

Where the data comes from

Marketplaces

Amazon listings and offers, prices, stock signals, reviews and ratings, seller counts

Magento and Adobe Commerce stores

public catalogs, category trees, product attributes, prices, availability

Shopify stores

public product feeds, collections, prices, variants, review widgets

Applications

desktop applications, iOS and Android apps, portals you already have permission to use

How it is delivered

your database, warehouse, BI tool, Google Sheets, CSV, JSON, a private API

What happens to it

field mapping, deduplication, product matching across sources, change detection, scheduled refresh

What we build

Competitor price and catalog watch

Track what rival Magento and Shopify stores publish: products, prices, variants, and stock. You see changes without opening their site every morning.

Amazon offer collection

Pull public listing data, offer prices, and review signals for the ASINs you care about, on a schedule, into a table your team can query.

Desktop and mobile app collection

When the data lives in an app rather than a website, the collector reads that app the same way a user would, then writes structured rows.

Clean, match, and load

Titles, prices, and identifiers are normalized and matched to your catalog before they land in your warehouse or intelligence tool.

Collectors that keep running

A scheduled job rechecks the source, stores only what changed, retries failures, and alerts you when a page layout breaks the extract.

A feed your systems can trust

Output is a database table, a file drop, or an API your team can query, rerun, and hand to someone else.

How a project runs

  1. 1

    Sources

    List the sites or apps, the fields you need, and how fresh the data must be.

  2. 2

    Sample

    Extract a small set first so you can check field quality before a full run.

  3. 3

    Pipeline

    Build the collector, the cleanup, and the load into your system.

  4. 4

    Schedule

    Put it on a timer with logs and alerts, and hand over something your team can operate.

Frequently asked questions

What sources can you collect from?+

Public marketplace and storefront pages, including Amazon, Magento, Adobe Commerce, and Shopify sites, plus desktop and mobile apps. Collection stays within sources you are allowed to read: public pages, official APIs, and accounts you own or are authorized to use.

How is this different from a store integration?+

An integration moves data in and out of your own Magento or Shopify store. Data mining collects outside sources, such as a competitor catalog or Amazon offers, and brings that data in.

Where does the data go?+

Into your database, warehouse, BI tool, spreadsheet, or a private API. The shape of the table is agreed before the full extract runs.

Can it run every day without someone starting it?+

Yes. Collectors run on a schedule, record what changed, and send an alert when a source changes enough to break the extract.

Tell us which sources you need

Name the sites or apps, the fields, and where the data should land. You get a reply with a proposed scope and a rough estimate.

Get an estimate