Monitor competitor pages for changes
Track competitor pricing, features, and messaging by extracting the same fields on a schedule and diffing structured snapshots, not raw HTML.
- Industries:
- SaaS, E-commerce, Product
The problem
Competitors change their pricing, packaging, and positioning quietly, and you usually find out late. The information is public, sitting on their pricing and product pages, but watching it by hand does not scale past a couple of rivals, and eyeballing a page every week is exactly the kind of task people forget to do.
The naive automated approach is to save the raw HTML and diff it, but that floods you with noise. A rotated banner image, a new tracking script, or a reordered footer all register as changes even though nothing meaningful moved. Hand-written scrapers that target specific elements break the other way: the moment a competitor restyles their pricing table, your selectors snap and the monitor goes silent without telling you.
What you want is to track meaning, not markup. Extract the same structured fields on a schedule, store them as snapshots, and diff the fields. Then a price change shows up as a price change, and a CSS tweak shows up as nothing.
The workflow
- 1
Define the fields to watch
Write a JSON schema for the signals that matter, such as plan names, prices, headline feature claims, and call-to-action text. You are choosing what counts as a real change, so the schema doubles as your alert definition.
- 2
Capture a baseline snapshot
Send each competitor URL with the schema. Extracto runs every request through a real headless browser with a managed anti-bot bypass layer that handles protected sites like Cloudflare, DataDome, and PerimeterX, then returns validated fields. It works on any public HTTPS URL, including JavaScript-rendered and anti-bot-protected pages, with proxies and anti-bot handling managed for you. Store this first result as the baseline you will compare future runs against.
- 3
Re-run on a schedule
Run the same URLs and schema daily or weekly from your own scheduler. Because extraction targets meaning rather than markup, a restyled page still returns the same fields, so the monitor keeps working through redesigns.
- 4
Diff structured snapshots, not HTML
Compare the new fields against the previous snapshot. A changed price or renamed plan surfaces cleanly, while cosmetic edits to the page produce no diff at all, which kills the false-positive noise of raw HTML monitoring.
- 5
Alert and archive
When a watched field changes, send the diff to Slack or email and archive the snapshot. Over time the archive becomes a timeline of how a competitor's pricing and messaging evolved, which is useful well beyond the immediate alert.
A schema to start from
Hand Extracto a schema like this and a URL. You get back validated JSON with exactly these fields.
{
"planNames": "array of strings",
"prices": "array of strings",
"headlineClaim": "string",
"featureList": "array of strings",
"ctaText": "string",
"capturedUrl": "string"
}Is it worth it?
Diffing structured fields instead of raw HTML turns competitor monitoring from a noisy chore into a clean signal, and it survives the redesigns that break selector scrapers. The trade-off is a per-page cost on each run. Extracto works on any public HTTPS URL, including JavaScript-rendered and anti-bot-protected pages, because every request runs through a real headless browser with a managed anti-bot bypass layer, so it fits competitor marketing sites and large anti-bot-protected storefronts alike. The one boundary is login-gated content like LinkedIn, X, or Instagram, which needs session cookies available on Enterprise plans. The free plan covers 100 pages with no credit card, and paid plans start at $14/month.