Understand price position
Compare current offers and history accumulated from the monitoring start date across retailers, sellers, regions, and currencies.
WebTruffle
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E-commerce · retail · marketplaces
Product, price & stock monitoringDelivered as clean, matched data.
We collect the public product signals you define, match them across sources, and deliver a maintained feed to your warehouse, application, or pricing workflow.
Built for
Pricing teams
Merchandising teams
Data product teams
Decisions this feed supports
Know where the market moved—and why.
Track availability and assortment
Track stockouts, new listings, listings that disappear, products explicitly marked as discontinued, and gaps in competitor assortments.
Follow promotions and sellers
Monitor discounts, shipping terms, promotional messaging, and seller-level offer changes as structured events.
Source coverage
Matched products. Comparable offers.
Every project begins with a source review. Coverage is defined around technical feasibility, public or authorized access, and the fields your workflow genuinely needs.
- Retailer product pages
- Marketplace offers and seller listings
- Brand and manufacturer catalogs
- Dealer and reseller storefronts
- Comparison-shopping sites
- Public ratings and review pages
Example agreed schema
Identity & matching
Source URL and product IDSKU, GTIN, or MPNBrand and modelVariant and pack sizeMatched product keyMatch confidence
Offer & availability
List and sale priceCurrencyStock statusSellerShippingPromotion
Evidence & history
Observed timestampLocaleRating and review countPrevious valueChange typeSource reference
These fields illustrate a practical data model, not a fixed package. Final availability and definitions are agreed source by source.
What makes the feed difficult
The hard part is not seeing a price once.
The hard part is collecting the right offer again, matching it to the right product, and preserving enough context to trust every change.
Products rarely match cleanly
The same item can appear under different names, identifiers, bundles, and pack sizes. We normalize the attributes that make comparisons meaningful and flag uncertain matches.
Pages and offers keep moving
Layouts, sellers, regional content, and availability states change over time. The collection workflow is monitored and maintained as sources evolve.
A snapshot loses the story
Current values alone cannot explain when an offer changed or what came before it. Timestamped observations create a usable history of market movement.
Quality rules
Validated againstthe agreed rules.
Schema and type validation
Coverage and freshness checks
Duplicate and outlier detection
Match-confidence review
Delivery
Receive complete snapshots, change-only records, or both on an agreed schedule. We shape the schema, format, and destination around the system consuming the feed, with timestamps and source references preserved.
CSVJSONMicrosoft AzureAmazon S3Tailored dashboards
FAQ
Questions before scoping.
What is competitor price monitoring?
Competitor price monitoring is the recurring collection and comparison of public product offers across retailer and marketplace sources. A managed feed turns those observations into structured records your team can analyze or pass into existing pricing workflows.
Which product, price, and stock fields can be collected?
Common fields include product identifiers, titles, variants, sellers, list and sale prices, currency, shipping, promotions, stock status, ratings, and timestamps. Exact inventory quantities are included only when a source exposes them and collection is feasible; otherwise the feed records observable availability states. Final coverage is agreed source by source.
How are identical products and variants matched?
Matching can use stable identifiers such as GTIN, MPN, and SKU alongside normalized brand, model, size, and variant attributes. Ambiguous comparisons can be assigned a confidence state or routed for review instead of being forced into a false match.
How often is monitoring data updated and delivered?
Cadence is set around the speed of the market, the behavior of each source, and the decisions the feed supports. Delivery can contain full snapshots, detected changes, or both on the schedule agreed during scoping.
Start with a feasibility review
Turn a product list into a maintained market feed.
Share the products, sources, fields, and cadence that matter. We’ll map the data model and return a practical feed scope for review.