Content & Media Data Scraping Services

Yes — that is one of the most common reasons clients buy this service. We compare the published listing against your syndicated source content field by field, and report differences as a diff: truncated bullets, reordered modules, stripped formatting, substituted images, altered titles.

Because the comparison runs on every audit cycle, you also get change detection over time: content that was correct last week and is wrong this week is flagged as a regression rather than presented as a fresh problem.

We compute perceptual hashes for every image on the listing and compare them against your master asset library, which you provide during onboarding. Perceptual hashing tolerates resizing and recompression but still distinguishes genuinely different images, so a resized version of your current pack shot matches while last year's packaging does not.

Listings showing superseded packaging, discontinued variants or unauthorised third-party photography are flagged with the offending image URL attached. This matters most in food, beverage, supplements and cosmetics, where pack claims are regulated.

Yes, module by module rather than as a single block. We capture whether enhanced content is present, which module types are used, their ordering, whether a comparison chart is included, and whether the listing links to a brand store. Premium A+ features are detected separately from standard A+.

This requires rendering pages in a headless browser because much rich content loads client-side — one of the main reasons generic scrapers miss it entirely.

We quote every digital shelf auditing engagement individually, because a real number depends on scope: source count, record volume, refresh frequency and delivery method. Anyone quoting you a price before understanding those four things is guessing.

Scope here is usually SKU count multiplied by retailer count, plus whether image comparison and A+ content auditing are included.

The process is short: one scoping call, a free pilot on your own sources within 48 hours, then a fixed monthly quote. No per-request metering, no overage billing, and field or source additions are handled inside the retainer rather than re-quoted. Request a quote.

Yes, and we recommend it. Default thresholds exist so you have something to start from, but scoring is only useful when it reflects your actual guidelines. During onboarding you specify required image count, minimum resolution, mandatory bullet count and format, title conventions per retailer, whether video is required, and category-specific rules.

Rules can differ per retailer and per category, because requirements genuinely do. Amazon's image standards are not Tesco's, and treating them identically produces a score nobody trusts.

Less often than price. Content changes on a scale of weeks, not hours. Our usual recommendation: weekly for your priority SKUs and any retailer with a history of content problems, monthly for the long tail, and an on-demand run after any syndication push or product relaunch.

Daily is available and occasionally justified — during a major launch, or when actively remediating with a retailer — but for steady-state monitoring it mostly generates unchanged records.

Both, and competitor content audits are a distinct and popular use case. Comparing your content completeness against the category leader's, or seeing which competitors have adopted video and enhanced content where you haven't, is often more actionable than auditing your own listings in isolation.

Competitor review text at category scale also supports product development work: thousands of reviews on rival products reveal failure modes and unmet needs that your own review base cannot.

Yes. Asset download to your own S3, GCS or Azure bucket is a standard option. Files arrive with stable naming, the source URL, capture timestamp and perceptual hash in a metadata sidecar, so the assets remain usable after retailer CDN URLs expire — which they routinely do.

This matters for anyone building a historical asset archive, running vision models, or needing evidence of what was published on a specific date.

Priced on SKU count, retailer count and audit frequency, with image asset download and review text extraction as add-ons because both carry meaningful storage and bandwidth cost.

A weekly audit of a few thousand SKUs across a focused retailer set sits at the lighter end of our range. Full-catalogue audits across many retailers with asset download and full review history sit considerably higher. We quote a fixed monthly figure after scoping, and the pilot sample is free.