WEBOTEE
DOCUMENTATION·METHODOLOGY

WEBOTEE · DATA METHODOLOGY

How we measure coverage.

Webotee combines two complementary scraping regimes — one narrow and deep for your provisioned catalog, one broad and shallow for the marketplace-wide operator graph. Here is exactly what each regime does, how often it runs, and where it stops.

01

Per-customer targeted scraper

For every ASIN in your provisioned catalog, our scraper hits the Amazon product detail page and extracts the full offer listing — every seller, their price, fulfillment method, and buybox status. This pass runs at the cadence determined by your tier (see below) and is what populates the Operator and Contested-ASIN views on each Brand Dossier.

What it produces: per-ASIN seller snapshots fed into the brand catalog views powering every Brand Dossier. Coverage % reflects how many of your provisioned ASINs have been refreshed within the last 24 hours.

02

BSR top-1M operator walk

Independently of your catalog, we continuously crawl the Best-Seller Rank top 1 million ASINs across Amazon. The purpose is not per-ASIN completeness — it is cross-brand breadth. By aggregating which sellers appear across many brands and categories, we build the Operator Directory: a register of high-velocity arbitrage and wholesale sellers active across the marketplace.

What it produces: The Network View and Operator dossiers — showing which operators touch multiple brands simultaneously, even brands you don't manage. This is the primary tool for detecting systematic distribution-chain problems that pre-date authorization violations on your own catalog.

Update cadence by tier

Network

Daily

One full catalog pass every 24 hours.

Network+

Daily

One full catalog pass every 24 hours with priority-queue ordering for newly uploaded ASINs and alert-triggering events.

Enterprise

Daily +

Daily full-catalog pass plus accelerated refresh on specific ASIN sets on request — contact your account manager to scope.

We do not claim real-time. Webotee is a continuous daily crawl — we respect the platforms we monitor and operate within their rate limits.

03

History depth

Seller identity

Up to 16 months

Dec 2024 → present. Display name of the seller holding the buybox on each tracked ASIN.

Price history

Up to 29 months

Nov 2023 → present. Daily price snapshot per ASIN — surfaces buybox transitions before explicit seller identity is available.

Stable seller IDs

Up to 4 months

Nov 22 2025 → present. Stable merchant IDs that survive display-name changes (important for hijacker attribution).

Your plan determines how much of this depth is exposed in the app. Contact your account manager to unlock longer windows.

04

Optional SP-API supplementary layer

ON REQUEST · ENTERPRISE

For Enterprise customers who enrol their own Amazon Brand Registry credentials with Webotee, we can layer Amazon's Selling Partner API feed on top of the continuous scraper. SP-API data narrows the window between offer-listing changes and when those changes surface in your alert stream — useful when enforcement SLAs are measured in hours rather than days.

Status: available on request, not enabled by default. Implementation is scoped per engagement — we build only the signal types your team will actually action. Enrolment requires your authorised Brand Registry admin to grant Webotee developer-app access; Webotee never receives credentials for accounts we haven't been explicitly invited into.

What it does not do: SP-API does not replace the scraper layer — it supplements it for specific high-value events (buybox-change, new-offer, listing- suppression). Most of what you see in the app remains scraper- derived.

EXPLICITLY NOT COVERED

  • Books, Kindle, Audible, and digital media
  • Amazon Music, Prime Video, and streaming licenses
  • App Store / digital software downloads
  • Grocery & Fresh perishables with no stable ASIN lifecycle
  • Categories outside physical retail on Amazon UK / US

More marketplaces scoped on request.

SELLER SOURCING INTELLIGENCE

For partnership-driven 3P sellers.

Webotee's seller-sourcing lane reuses the same BSR top-1M catalog data as the brand-protection product — reframed for brand partnership evaluation rather than enforcement.

Entry-opportunity signals are computed nightly from price-softening patterns, seller-thinning trends, and catalog-maturity heuristics. A brand exhibiting simultaneous price erosion and seller exit across multiple ASINs is flagged as a potential partnership opening or distribution-gap opportunity.

Category reports aggregate brand density, buybox-day volume, and control-score distribution per Amazon root category — surfacing fragmented categories where new entrants have the highest chance of winning sustained buybox share.

Operator intelligence draws from the same cross-brand operator graph used by brand-protection customers. For sellers, this identifies which operators are stable multi-brand partners versus unauthorized high-velocity sellers — informing competitive positioning and wholesale channel strategy.

All sourcing data is drawn exclusively from our independent BSR scrape. No customer-uploaded ASINs or priority-queue data from other workspaces is included.

COMPOSITE SCORING

How we compute scores.

Brand Control Score

A composite 0–100 metric summarizing a brand's marketplace integrity on Amazon. Higher = healthier brand presence. Recomputed nightly during the materialized-view refresh cycle.

INPUTS + WEIGHTS

Authorized seller density    (30%) — share of buybox-days held by sellers on the brand's authorized list

MAP discipline              (25%) — consistency of pricing at or above the brand's MAP floors

Fragmentation (inverse)     (25%) — inverse of top-5-operator buybox concentration

Operator stability          (20%) — average tenure (months active) of the top 10 sellers on this brand

Score = Σ (normalized_input × weight) × 100, clamped to [0, 100]

If no authorized sellers or MAP floors are configured, those components default to a neutral midpoint (50/100) — the score still functions but is less informative. Configure authorized sellers and MAP floors for maximum accuracy.

Fragmentation Score

Measures how dispersed buybox ownership is across sellers on a brand. Higher fragmentation = more room for new entrants.

FORMULA

Fragmentation = 1 − (top-5 operators' combined buybox-day share)

Range: 0.0 (one seller holds 100%) → 1.0 (no top-5 concentration)

A fragmentation score near 1.0 means many small sellers contest the brand — potential for new authorized distribution. Near 0.0 means a small group dominates the brand's buybox, typical of well-controlled brands with tight distribution.

MAP Discipline Score

Measures how consistently a brand's Amazon pricing holds above the brand's MAP (Minimum Advertised Price) floors. Higher = stronger enforcement.

INPUTS

Below-MAP event frequency — count of (ASIN, date) pairs where buybox price < MAP floor

Authorized vs unauthorized ratio — what share of violations come from unverified sellers

Time window — 16+ months of seller-identity history (price history extends further)

Score = 100 − normalized(violation_frequency × severity_weight), clamped [0, 100]

Only computed for brands with MAP floors configured. Brands without MAP floors show "N/A" for this metric. A score of 90+ indicates tight MAP enforcement; below 50 suggests chronic below-MAP pricing from multiple sellers.

Volatility Score (Category-Level)

A 0–100 composite measuring how much churn a category experiences. Higher volatility = more instability in the category's seller and brand landscape, which can signal opportunity for new entrants.

4 INPUT COMPONENTS (equal weight, 25% each)

Seller turnover — rate of new sellers entering / exiting the category per month

Brand turnover ��� rate of brands gaining or losing BSR representation

Price volatility — standard deviation of buybox prices across the category

BSR volatility — standard deviation of BSR rank movements for top-100 ASINs

Score = Σ (normalized_component × 0.25) × 100, clamped [0, 100]. Rebuilt weekly.

For brand-protection users, high volatility signals risk. For seller-sourcing users, moderate volatility (40–70) signals the best entry opportunities — enough churn to create openings, not so much that the category is unstable.

HOW FRESHNESS IS CALCULATED

The coverage bar on each Brand Dossier shows the time elapsed since the last successful data refresh for that brand's marketplace. Freshness is coloured green when the last refresh is under 24 hours old, amber between 24–48 hours, and red beyond 48 hours. A brand that shows 0 provisioned ASINs has not yet been scraped — contact your account manager to confirm provisioning.