Web to Table

Request type

Product data collection

Names, links, prices, currencies, availability, and any other field a store shows, from as many stores as you need.

First release

In scope for the first release.

Who asks for this

Ecommerce operators and agencies building or refreshing a catalog.

Say it like this

Collect the products on these two stores with name, URL, price, currency, availability, and category.

What you supply

  • Store or category URLs
  • The product fields you need
  • Whether to include out-of-stock items

What you get back

Your table · 4 rows shownIllustrative
product_nametext · collectedurlurl · collectedpricecurrency · collectedcurrencytext · collectedin_stockboolean · collectedcategorytext · collected
Linen Crew Teestore-a.example/tee38.00USDtrueTops
Canvas Weekenderstore-a.example/weekender148.00USDfalseBags
Wool Beaniestore-b.example/beanie32.00USDtrue
Ripstop Shellstore-b.example/shell210.00USDtrueOuterwear
Store B does not publish categories, so the field stays empty.

Column labels: collected comes from the page, derived is calculated from other columns at no extra cost, extra work needs another request per row and raises the estimate.

Workflow

How the agent handles it.

  1. 1

    You give us the store or category URLs.

  2. 2

    We identify a tested recipe for that store type and confirm which fields it exposes.

  3. 3

    You choose the columns and approve the estimate.

  4. 4

    We collect, normalize prices and currencies, and remove duplicate variants.

  5. 5

    You export or save the workflow to rerun later.

Cost and limits

What moves the price, and where the answer can be no.

Cost drivers

  • Catalog size
  • Fields only visible on product pages, such as variants or stock counts
  • Sites that require browser execution instead of plain requests

Where we say no first

  • Prices shown to logged-in or regional visitors may differ from what a public visitor sees.
  • Some marketplaces restrict automated access. We tell you first.

Early access

Want product data collection?

Describe your sources, the columns you want, and roughly how many rows. A person replies with possible or not, and roughly what it would cost.