StorePulse
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How StorePulse works

From a store URL to a change you can act on.

Six steps, all of them automatic after the first. StorePulse reads only what a shopper can see, remembers it precisely, and tells you when it moves.

Step by step

What happens after you paste a URL.

  1. STEP 01

    Paste a public store URL

    Add any Shopify storefront by its domain. StorePulse confirms it is a Shopify store, reads its robots.txt, and discovers the public surface from there: the product catalog and every variant, collections, pages, blog posts, and the storefront's sitemaps.

    There is nothing to install and no store owner to ask. If a store already has watchers, you join the existing scan instead of starting a duplicate.

  2. STEP 02

    Get a clean baseline

    The first successful scan becomes the starting point. Instead of flooding you with hundreds of “new product” events, it is recorded once as a baseline you can browse: current prices, compare-at prices, availability, collection order, page copy, and SEO metadata.

    Every scan also captures full-page previews of the storefront at a desktop viewport, and at a phone viewport on Entrepreneur and Team, so a later change can be seen, not only read.

  3. STEP 03

    Scans run on your plan's cadence

    Solopreneur rescans every watched store every three days; Entrepreneur and Team rescan daily. Any plan can trigger a scan on demand from the dashboard.

    Entrepreneur and Team can also pin priority products — 10 and 50 respectively — for hourly price and stock checks, which is how a launch-day price cut or a sell-out is caught within the hour.

    • One identifiable crawler with a contact address; robots.txt enforced before every request.
    • Bounded concurrency, delays, conditional requests and backoff, so a scan is lighter than a person browsing.
    • One scan per store shared across every workspace watching it: less traffic for the merchant, no duplicate work for you.
  4. STEP 04

    Pages become records; records become events

    Each page is normalized into stable, source-aware records keyed on the store's own identifiers, so a renamed handle or a reordered image is not mistaken for a new product. Timestamp churn, tracking parameters, and boilerplate are filtered before comparison.

    What survives is compared to the previous record and written as a plain-language event with a type and an impact level: PRICE_DECREASED with the old and new amount, DISCOUNT_STARTED with the compare-at price, SOLD_OUT for a variant, COLLECTION_PRODUCT_MOVED for a merchandising reshuffle, SEO_CHANGED for a rewritten title tag.

  5. STEP 05

    Alerts arrive on your terms

    Every workspace gets a daily email digest at the hour you choose. Notification rules narrow it further: pick the stores, the change types — new product, price up or down, sale started or ended, sold out, back in stock — and the minimum impact you care about.

    On Entrepreneur and Team, rules can also send immediately, so a qualifying change is in your inbox as soon as the scan finds it rather than in tomorrow's summary.

  6. STEP 06

    Read, compare, export — or just ask

    The dashboard keeps the whole change history for as long as your plan remembers, with product-level price history charts, best-seller rank movement per collection, before-and-after page previews, and CSV export for anything you want in a spreadsheet or a deck.

    Team workspaces can connect Claude, ChatGPT, or any MCP client and ask in plain language which competitors dropped prices this week, or what changed on one store in the last three days.

Public data only

What StorePulse never touches.

No sign-ins, no carts, no checkouts, no customer records, no CAPTCHA or bot-protection bypass, no proxy rotation. If a store's robots.txt says stay out of a path, we stay out. The full commitment is written down in our acceptable crawling policy.

How this compares with manual checks and scrapers

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Start with the competitor you check most often. Plans from $29 a month; see pricing.

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