ExtraltExtralt
use cases

Competitor prices.
Observed over time.
In your dataset.

Build competitor price and availability monitoring from source-backed observations you can inspect, query, and reuse.

Extralt collects the public prices and availability shown on the product pages you monitor, then preserves the source, seller, and observation time behind each record. Use that data to compare matched products over time in the workflow you control.

competitor price tracking · three angles

Compare prices now, follow changes, and inspect availability.

VAR·SLR

Where is the lowest observed price?

Compare the latest observed Offers for matched Variants across the retailers and marketplaces you track. Keep country, currency, condition, seller, and observation time in scope.

VAR·TME

How has the price moved?

Follow timestamped Offer observations by Listing and seller to inspect price drops, increases, and recoveries from the first observation onward.

VAR·NOW

What is the latest observed price and availability?

Inspect the latest observed price, availability, source, and freshness. Use the available views, API, or SQL surface in the workflow you control.

customer-owned policy workflows

Bring your own MAP policy to the observations

MAP violation monitoring needs policy data your team owns and reliable observations from the products, retailers, marketplaces, and seller pages you choose to track. Extralt supplies the observations: the public price shown, source URL, seller/store context, and timestamp.

We do not run the MAP program for you: no reseller discovery service, case queue, strike notices, authorized-seller workflow, or legal escalation. We provide the data collection and processing layer, so your team can implement the monitoring, review, and escalation workflow that fits your channel strategy.

  • Tracked-channel coverageUse beta matching to connect the same exact Variant across the retailers, marketplaces, and seller pages in your monitored source set.
  • Evidence with timestampsEvery observation captures the public price shown, where it was shown, and when it was captured. Useful for review, reporting, and downstream tools.
  • Customer-owned MAP policyJoin your own MAP policy data to observed prices by product, market, or channel, then flag records in the workflow you control.
  • Historical analysisAfter joining your policy data, query the resulting history in your own system and decide what action your workflow should take.

deliverables

What you get

Schedule

Hourly to monthly

Set cadence per extraction schedule

Coverage

Tracked sources

Product pages you choose to monitor

Analysis

Customer-controlled

Current views, API, or SQL; pre-built recipes are not yet available

Access

Views · API · SQL

Plus JSON or Parquet Capture exports

why extralt

Built for prices that move.

01

Product pages, not separate feeds

Collect the price and availability presented on monitored ecommerce pages instead of relying only on a separate merchant-submitted channel.

02

Storefront ground truth

Record what a shopper was shown on the PDP for the market and time you monitored, with the source URL behind the observation.

03

Managed extractor maintenance

Extralt monitors extraction quality and maintains the source-specific extractor while your downstream ecommerce schema stays consistent.

All of this runs on Extract, the first stage of the Extralt pipeline. AI-generated crawlers compiled to native Rust, with a consistent ecommerce schema across the validated sources in your dataset.

who it's for

For teams that track prices and want to stop fighting the pipeline.

  • Brand protection & MAP teamsUse observed public-price evidence in your existing policy checks, review, reporting, or enforcement workflow without rebuilding crawler infrastructure.
  • Pricing analysts at retailersBenchmark tracked products against competitor Offers and analyze movement from the first observation in your dataset.
  • DTC brands on marketplacesMonitor known marketplaces, seller pages, and retailer channels for undercuts and assortment drift without manual checks.

related reading

For the strategic layer behind pricing moves, read the guide to competitive pricing in ecommerce. To evaluate dashboards, optimization platforms, and owned pricing data, compare pricing intelligence software.

Frequently asked questions

Build your price-monitoring dataset.

Collect source-backed ecommerce observations, then use the available views, API, or SQL surface in the workflow you control.