See every change in your category the day it happens
Availability, listings, content and ranking across your own shops and the marketplaces you sell on — checked on a schedule, with a diff for every run.
Catalogues drift constantly: a variant goes out of stock, a reseller rewrites your description, a marketplace reshuffles a category page. Monitoring turns those invisible changes into a feed your category team can act on the same day.
What makes catalogue monitoring hard
These are the problems that make in-house catalogue monitoring stall after the first few shops. Each one is handled by the stack below.
Thousands of pages, constant drift
A catalogue of 40k listings across a dozen shops changes somewhere every hour. Sampling by hand finds the changes you already suspected, not the ones that matter.
Stock-outs found too late
A variant that quietly goes out of stock at a reseller costs sales for days before anyone notices in a report.
Unauthorised sellers and content
Rewritten descriptions, wrong images and grey-market listings damage the brand — and only show up if someone is watching every page.
Marketplace pages differ by market
Ranking, buy-box and availability depend on the country you view from. One global crawl hides what your local buyer actually sees.
Diffs, not snapshots
Storing a fresh copy every run tells you nothing. The value is in knowing precisely what changed since the last check, and where.
Alerts have to reach people
A change nobody sees is not monitoring. The feed has to land in Slack, in a ticket or in the tool the category team already uses.
What changes once someone is always watching
The category team stops discovering problems from customers and starts hearing about them from the feed.
Availability is checked on every run, so a missing variant becomes a task the same day rather than a monthly surprise.
Rewritten copy, wrong images and unauthorised listings surface as changes, with the page and the date attached.
Category and search positions are tracked per market, so a drop comes with the context of who moved past you.
Nobody browses competitor pages to build a status report. The exceptions arrive; the rest stays quiet.
The stack for e-commerce monitoring
Both products are bought separately. Collection does the work here; residential access keeps it continuous and correct per market.
Data Scraping
Runs the checks and produces the diff: availability, price, content, images and category position, on the schedule you set per source.
Proxy IP
Keeps the series unbroken and market-accurate: residential exits in the countries you sell in, so pages render as a local buyer sees them.
Questions about e-commerce monitoring
Anything you choose to watch: price, availability, title, description, images, badges, review count, or position on a category or search page. Each run is compared against the previous one.
As often as the pack allows — hourly for a short list of key listings, daily for a full catalogue. Cadence is set per source, so critical shops can run more often than the rest.
Yes. Every run can fire a webhook, so changes land in Slack, in a queue or in your own tooling. The dashboard keeps the full history either way.
Yes — marketplace listings, category pages and search results, per market. Ranking and buy-box changes are tracked alongside the product data.
Data Scraping does the monitoring itself. Proxy IP becomes necessary as soon as the pages you watch differ by country or start throttling repeated visits.
Start watching one category
Pick a category and the shops that matter, and we will set up the first change feed with you.