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Built forRetail

Retail pricing intelligence — across every category

Monitor competitor prices, promotions, and stock signals across the retail chains you compete with — at the SKU level, refreshed daily, structured for your pricing and category teams.

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15+Competitors covered (vs 3-5 manual)
Every runPromo flags captured
DailySKU-level refresh
Pipe-readyOutput for pricing engines
Tracks pricing across
  • Amazon
  • Walmart
  • Target
  • Best Buy
  • Costco
  • Macy's
  • John Lewis
  • El Corte Inglés
  • Saturn
  • Argos
  • Currys
  • Otto
Industry problems

Where retail price monitoring breaks down

Three structural gaps every mid-market retail pricing or category team runs into.

  • 15+
    Comp set you should cover

    You watch 3, buyers compare 15

    Your team monitors 3-5 competitors. Customers compare you against 15+. The decisions you make on partial data hurt margin you didn't notice losing.

  • Daily
    Frequency competitors change prices

    Manual checks vs daily competitor moves

    Competitors change prices and launch promos every week. Manual checks miss most of them.

  • Disconnected
    Spreadsheets across category managers

    Category spreadsheets that don't connect

    Each category manager maintains their own competitor spreadsheet. Nothing connects. The CFO can't see the full picture.

How Scrapewise solves it

What Scrapewise actually does for retail teams

Three things, simply: real comp-set coverage, promo detection on every daily run, clean data for pricing engines.

  • True competitive coverage

    Monitor every retailer your buyers compare you against — 15+ retailers, not the 3-5 you can manually check.

  • Promo detection on every scheduled run

    See competitor promotions on your next daily run. Respond before the weekend, not after the loss reports.

  • Clean data for pricing engines

    Structured output piped straight into pricing rules, BI tools, or category reviews — no cleaning step required.

Step-by-step

How a retail pricing team gets up and running

Five steps from blank canvas to live competitive data flowing into your pricing engine.

  1. 01

    Define your real comp set

    Pick the 15-50 retailers your buyers actually compare you against — across categories, channels, and regions.

  2. 02

    Configure scrape templates per category

    Tell Scrapewise which fields per category — product name, brand, price, promo flag, stock, SKU. No code.

  3. 03

    Run + verify competitor extraction

    First scrape across the full comp set in minutes. Confirm cross-retailer SKU matching meets your standard.

  4. 04

    Pipe into your pricing engine

    CSV, Excel or REST API. Load it into pricing rules, BI tools or category planning.

  5. 05

    Set per-category refresh cadence

    Daily for fast-moving SKUs, weekly for stable ones, plus on-demand runs. Drift visible at a glance.

Use case mapping

What you can build on top of Scrapewise retail data

Each retail team need maps to a specific Scrapewise use case. Pick the one matching your mandate.

BENEFITS

Retail Pricing Intelligence That Powers Daily Decisions

True Competitive Coverage

True Competitive Coverage

Monitor every retailer your buyers compare you against — not just the 3-5 your team can manually check. Structured, refreshed, complete.

Promo Detection on Every Run

Promo Detection on Every Run

Competitor promotions and price drops land in your daily data, ready for the weekly pricing meeting.

Clean Data for Your Pricing Engine

Clean Data for Your Pricing Engine

Pipe structured retail competitor analysis data straight into your pricing rules, BI tool, or category review — no cleaning step required.

From Quarterly Reviews to Daily Decisions

Retail teams using Scrapewise stop running price audits as quarterly projects and start using competitor data as a daily input. The category review reflects current market reality, not last month's snapshot.

✕ Manual Retail Price Tracking
  • ✕ Coverage limited to whichever 3-5 competitors the team has time for
  • ✕ Promo detection lags by days, not hours
  • ✕ Category managers run disconnected spreadsheets
  • ✕ Pricing engine consumes dirty data and breaks
  • ✕ Quarterly reviews reflect month-old reality
VS
✓ With Scrapewise
  • ✓ Coverage matches your buyer's actual comp set — 15+ competitors
  • ✓ Competitor price moves and promos in every daily run
  • ✓ One structured data layer feeding all category teams
  • ✓ Clean, normalized data that drops straight into pricing engines
  • ✓ Daily decisions on current data, not month-old snapshots
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Integrations

Plugs into the tools retail teams already run

Pipe Scrapewise data into your pricing engine, BI, and category planning stack.

  • Power BI

    BI / dashboards

  • Tableau

    BI / analytics

  • Looker

    BI / analytics

  • MCP server

    Claude Code and Claude Desktop

  • Excel / CSV

    Direct export

  • SAP

    ERP, via API or CSV

  • Snowflake

    Warehouse, via REST API

  • REST API

    Pricing engines / custom

If you can call a REST API or open a CSV, you can integrate Scrapewise.

Go deeper

Adjacent capabilities for retail teams

Use cases, comparisons, and reading you'll likely need once your retail data layer is live.

Use cases

Compare alternatives

Retail reading

Your Competitors Just Dropped Prices. Did You Notice?

Stop running retail competitor analysis as a quarterly project. Scrapewise gives mid-market retailers continuous, structured visibility into the competitive landscape that actually matters.

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FAQ

Frequently Asked Questions

Common questions from retail pricing, category, and analytics teams.

Most retail customers monitor 15-50 competitors across categories. There's no fixed cap — coverage scales with your scrape config, not headcount.

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