Grocery price tracking — across every supermarket
Monitor grocery price comparison data across major supermarket chains, online grocers, and delivery platforms — at a SKU level, daily, in one structured table.
- Tesco
- Sainsbury's
- Albert Heijn
- Carrefour
- Auchan
- Lidl
- Aldi
- Mercadona
- Coop
- ICA
- Rema 1000
- Ocado
Where grocery pricing tracking falls apart
Three structural gaps every grocery category or pricing team runs into.
- 3-5daysPromo lag in manual workflows
Promotions move before you can react
Supermarket promos launch, expire, and shift mid-week. Manual checks lag by days — by the time you log Monday, Wednesday's promo is already running.
- 30K+SKUs in a typical comp-set
Volume kills manual coverage
Fresh, ambient, frozen, household, beauty adjacencies. A single supermarket comparison spans tens of thousands of SKUs — analyst-impossible.
- 10+Banners + regions to cover
Multi-banner, multi-region fragmentation
Same parent group, different banners, different regional rules. Manual tracking can't keep up with three or four regional variations of the same chain.
What Scrapewise actually does for grocery teams
Three things, simply: catch promos same-day, normalize unit pricing, and cover every banner in one schema.
Same-day promo detection
Catch supermarket promos and price drops the day they go live — across every banner you compete with.
Normalized unit pricing
Output includes per kg, per litre, per piece automatically — apples-to-apples across pack-size variations.
Multi-banner, multi-region in one schema
One scrape config covers every banner and regional variant. Online grocery + delivery tracked alongside in-store.
How a grocery category team gets up and running
Five steps from blank canvas to live supermarket pricing flowing into your category review.
- 01
Pick your banners + regions
Select the supermarket chains, online grocers, delivery platforms, and regions that matter for your category.
- 02
Configure scrape templates
Tell Scrapewise which fields to extract — product name, brand, pack size, unit price, promo flag, stock status. No code.
- 03
Run + verify the first scrape
First refresh runs in minutes. Confirm normalized unit pricing comes back the way your team expects.
- 04
Pipe data into your stack
CSV export, Google Sheets sync, REST API, or webhooks into Power BI, Tableau, or your category planning system.
- 05
Set the refresh cadence
Daily for promo detection, hourly during major sales events. Cross-banner drift visible at the cadence you choose.
What you can build on top of Scrapewise grocery data
Each grocery category need maps to a Scrapewise use case. Pick the one matching your team's mandate.
- Industry needTrack competitor banner pricing dailyUse caseCompetitor price trackingRead more →
- Industry needRun quarterly category reviews on live dataUse caseMarket research dataRead more →
- Industry needPull SKU-level data into BI toolsUse caseProduct data extractionRead more →
- Industry needDetect promo launches across bannersUse caseCompetitor price trackingRead more →
- Industry needFeed structured grocery data into AI modelsUse caseData for AI and LLMsRead more →
Grocery Price Comparison That Runs Itself
Same-Day Promotion Detection
Catch supermarket promotions and price drops the day they go live — across all banners and online grocery platforms.
Structured SKU-Level Data
Clean, normalized rows with product name, brand, pack size, unit price, and promo flags. Pipe directly into your BI tool, ERP, or category review deck.
Cross-Banner Comparison Without Spreadsheets
One scrape configuration covers every banner you care about. Compare the same SKU across 10 supermarkets in a single query.
From Manual Audits to Daily Visibility
Grocery category teams using Scrapewise replace one-off pricing audits with continuous daily refreshes. The data is cleaner, the comparison is fairer, and the category review actually reflects current market pricing.
- ✕ Analyst spends days collecting prices for the quarterly review
- ✕ Promotions change before the audit is finished
- ✕ Inconsistent unit pricing creates apples-to-oranges errors
- ✕ Online channel drift goes unmonitored
- ✕ Scaling past 5 banners is impossible
- ✓ Automated daily refresh across every supermarket and online grocer
- ✓ Promotions captured the day they launch
- ✓ Normalized unit pricing for fair comparison
- ✓ Online + in-store comparable in one schema
- ✓ Scales to every banner and region you care about
Plugs into the tools grocery teams already run
Pipe Scrapewise grocery data into your BI, category planning, and pricing stack.
Power BI
BI / dashboards
Tableau
BI / analytics
Looker
BI / analytics
Google Sheets
Spreadsheet sync
Excel / CSV
Direct export
SAP
ERP
Snowflake
Data warehouse
Webhooks + REST API
Custom integrations
If you can hit a webhook or read a Google Sheet, you can integrate Scrapewise.
Adjacent capabilities for grocery teams
Use cases, comparisons, and reading you'll likely need once your grocery data layer is live.
Use cases
Compare alternatives
Your Competitors Just Launched a Promo. Did You Notice?
Stop running quarterly grocery price comparison audits and missing weekly moves. Scrapewise gives category teams continuous, structured visibility into every supermarket that matters.
Frequently Asked Questions
Common questions from grocery category, pricing, and analytics teams.
Yes. Scrapewise monitors grocery price tracking data across major supermarket chains, regional banners, and online grocery platforms — automated daily.