Stock and availability tracking

How long does a competitor's bestseller stay out of stock before you hear about it? If the answer is "whenever someone happens to check the page", the window to do anything useful has usually closed by the time you do.

Availability moves faster than any other signal you'd track. Prices in most categories change weekly; stock can flip overnight and flip back before Friday. Datka watches it continuously, so the flip shows up in your data, not in a colleague's anecdote.

Three moments this feed pays for itself

A competitor sells out. Their gap is your promotion window: shift ad spend to the affected products, feature your in-stock alternative, hold your price instead of discounting into a shortage. Each of those moves works only if you learn about the gap while it's still open.

Your reseller sells out. Every day a stockist shows "unavailable" is revenue your own analytics never records as lost. Persistent gaps also tell you which partners chronically under-order, and they're useful context when an advertised price looks strange: a weird price on an empty shelf is a different problem than a weird price on a full one.

A restock lands. Restock and out-of-stock alerts get built on top of the feed, in your own tools, as rules you control. We deliver the reliable signal underneath; your team decides what's worth waking anyone up for.

Freshness decides usefulness

With most data, a little staleness costs a little accuracy. With availability it costs everything, because the state you're reading may already be gone. So we track the sites you name at up to daily frequency, per market and locale, with one schema across all of them, and every delivery is validated before it ships. When a tracked site redesigns or hardens its defenses, keeping the collection alive is our job; the feed keeps arriving without you noticing anything happened.

Better read together with price

A price is hard to interpret without the stock status behind it. A low price on an out-of-stock listing isn't real competition, and a competitor holding price through a shortage tells you something a price column alone never would. Most teams run availability and competitor price monitoring as one project: same sites, same deliveries, two more columns doing real work. Deliveries land in your warehouse or arrive as files, and there's an API if you'd rather pull; the collection and QA machinery behind all of it is described on the product page.

Curious what your competitors' shelves actually look like week to week? Ask for a free assessment: name the sites and products, and we'll scope the tracking and share sample data before you commit to anything.