Skip to content
PyronetsPyronets
Pricing Intelligence

Pricing Data & Market Intelligence

Historical prices, real-time change alerts, competitor benchmarking, regional variation, and promotional tracking, the complete pricing intelligence dataset your team needs.

Movement, not snapshots

A single price tells you nothing. The series tells you everything.

15 min
Fastest polling interval we run
Per-market
Geo-varying prices collected from each region separately
Full history
Every observation kept, never overwritten
See the receipts
The problem

Pricing decisions made without data cost margin and market position

Brands and retailers that rely on intuition or outdated manual price checks consistently leave margin on the table and lose competitive ground. Without structured pricing data, you're navigating blind in a market that shifts daily.

  • Pricing strategies based on stale data miss short-term competitive moves and seasonal shifts
  • Category-level pricing trends are invisible without aggregated, historical time-series data
  • Regional pricing differences across geographies are difficult to monitor without dedicated tooling
  • Promotional pricing from competitors requires continuous observation, not periodic snapshots
  • Multi-currency price comparison requires normalization that manual processes cannot reliably provide
Our approach

Structured pricing intelligence from every source that matters

Pyronets delivers continuously updated pricing datasets with full historical depth, promotional capture, regional breakdowns, and multi-currency normalization, giving your team the data foundation for confident pricing decisions.

What you get instead

Structured records in your schema, not raw HTML
Extraction repaired by us when sources change
Delivery on a fixed schedule, with a QA report attached
Scope this dataset

What you get

Historical Price Time Series

Build complete price history going back months or years. Track price trajectories, identify seasonality patterns, and model future pricing with confidence using long-run data.

Price Change Alerts

Receive structured alerts when competitor prices change beyond a defined threshold (configured per category, retailer, or individual product) so your team can respond quickly.

Competitor Benchmarking

Systematic price comparison across all relevant competitors by category, brand, and SKU level. Identify exactly where you are priced above, below, or at parity with the market.

Regional Pricing Analysis

Track how prices differ across geographies: countries, states, and cities. Identify regional pricing gaps, arbitrage opportunities, and inconsistencies in your own distribution.

Multi-Currency Normalization

Prices collected in any currency are normalized using daily exchange rates. Compare pricing across international markets on a like-for-like basis within a single dataset.

Promotional Tracking

Capture every promotional price, sale event, voucher discount, and bundle deal across monitored sources. Analyze competitor promotion patterns, depth, and frequency over time.

Schema

Fields we collect.

A starting point, not a fixed list, the final schema is whatever you sign off on during scoping.

Current Price
Live selling price at time of collection
Historical Prices
Full time-series price history with timestamps
Promotional Price
Active sale, coupon, or bundle-adjusted price
Price Change Delta
Absolute and percentage change vs. prior observation
Currency Code
ISO currency code for the collected price
Normalized Price (USD)
Price converted to base currency using daily FX rates
Region / Market
Country or region the price was observed in
Retailer / Source
Website or marketplace where price was collected
Category / Subcategory
Product category for category-level analysis
Brand
Product brand for brand-level price benchmarking
Stock Status
Whether the product was in stock at observed price
Promotion Flag
Boolean indicating whether a promotion was active
Process

How your pipeline gets built

From first conversation to recurring delivery, with a sample you sign off on before anything runs on a schedule.

01

Define Sources & Scope

Identify the competitors, marketplaces, and categories to monitor. Specify the geographic markets, currencies, and update frequency for each data source.

02

Historical Baseline Collection

Where possible, we backfill historical pricing data to establish a baseline time series. This gives your analytics immediate depth from day one.

03

Live Monitoring Launch

Real-time or scheduled monitoring goes live across all sources. Alerts are configured to your thresholds and delivered via your preferred channel.

04

Ongoing Delivery & Analysis Support

Fresh pricing data is delivered on every run. We provide data quality reports and can integrate directly with your BI tools or pricing platform.

Applications

Common use cases.

01

Dynamic Pricing Optimization

Feed live competitor price data into repricing engines or manual pricing workflows to maintain market position without unnecessary margin sacrifice.

02

Category Management

Understand category-level price positioning across your entire range relative to competitors. Identify categories where you are systematically over- or under-priced.

03

Promotional Strategy Planning

Analyze when, how deep, and how frequently competitors run promotions in your categories to plan your own promotional calendar for maximum impact.

04

International Price Management

Track your own and competitor prices across international markets to enforce pricing consistency, identify grey market activity, and optimize regional strategies.

05

Retail Analytics & Reporting

Build executive pricing dashboards, category reports, and market share models using structured, time-stamped pricing data from all relevant sources.

06

New Market Entry Research

Before entering a new geography or category, map the full competitive pricing landscape to inform launch pricing, positioning, and channel selection.

Delivery formats

Pick whatever drops straight into your stack.

CSVExcel (XLSX)JSONREST APISnowflakeBigQuerySFTPGoogle Sheets

Industries served

Where this dataset tends to be used.

E-commerce & RetailConsumer ElectronicsFashion & ApparelGrocery & FMCGTravel & HospitalityAutomotive PartsHealth & BeautyB2B Industrial Supply
Quality

Validated before it reaches you.

Every batch runs the full validation suite before delivery. If a batch fails, it does not ship. We investigate and repair the extraction first, and you get told what happened.

Type conformance
Every field matches its declared type
Range and sanity
Values fall inside agreed bounds
Null-rate thresholds
Coverage flagged when it drops
Duplicate resolution
Resolved against your chosen key
Schema drift
Source structure changes caught early
Volume variance
Unexpected record counts halt delivery
Questions

Frequently asked questions

For active scrapers, we start building history from day one. For historical backfill, availability depends on the source. Some sites retain older prices in their HTML, and we extract what is accessible. We can often go back 6–24 months depending on the retailer.

Yes. We run geo-targeted collection using localized proxies to collect country-specific prices, including regional promotions that are not visible from a non-local IP address.

For near-real-time monitoring, alerts can be delivered within minutes of a price change being detected. Standard daily monitoring delivers a change report with each scheduled run.

Yes. We can deliver via REST API push, Snowflake or BigQuery table inserts, SFTP, or direct webhook to repricing platforms. We work with your team to define the integration method.

Yes. For marketplaces, we collect the Buy Box price, main seller price, and available third-party seller prices and offers. All seller observations are timestamped and attributed.

Tell us the sources. We'll send back a sample.

Describe the sites and the fields you need. You'll get a proposed schema, a real sample extracted from those sources, and a fixed price, before any commitment.

No retainer required to find out whether your sources are feasible.

Sectors this data serves

Sectors this dataset commonly serves. Schema and cadence are set per project.

Retail ChainsFMCG BrandsMarketplace SellersPrice Comparison SitesRevenue ManagementWholesale & Distribution

Sample output

An illustrative preview of delivered records. The real schema is whatever you sign off on.

sample_output.csv
product_idcategoryprice_usdprice_dateregionretailer
SKU-44821Consumer Electronics$329.992025-05-19US-EastAmazon
SKU-44821Consumer Electronics$339.002025-05-19US-EastBestBuy
SKU-44821Consumer Electronics$319.002025-05-19US-WestTarget
3 of 5,812,441 records shown · CSV · Delivered daily at 06:00 UTC

Historical Pricing Intelligence

Analyze price trends across months, detect seasonal patterns, and benchmark against competitors.

Price Trend Analysis

Jan 2025, May 2025
Export
All ProductsElectronicsHome Goods
$1200$1000$800$600$400
JanFebMarAprMay
Your Price
Competitor A
Competitor B
4.2%
Avg price gap
8,441/day
Price changes tracked
±5%
Alert threshold