Retail
A clearer view of every shelf.
Follow prices, promotions and stock across retailer websites and apps. Match the same products across sources and see what changes between runs.
The detail behind every insight.
Matched records, source context and the fields your team needs to investigate a change. Explore an example of the underlying retail dataset.
| Product ID | Product | Pack size | Retailer | Price | Unit price | Availability | Promotion | Collected |
|---|---|---|---|---|---|---|---|---|
| OAT-001 | Barista oat drink | 1 L | Daily Market | £2.20 | £2.20/L | In stock | 6.4% reduction | 06:02 |
| OAT-001 | Barista oat drink | 1 L | Shop North | £2.40 | £2.40/L | In stock | None | 06:03 |
| COF-014 | Coffee beans | 250 g | Fresh Basket | £4.80 | £19.20/kg | In stock | Member price | 06:03 |
| COF-014 | Coffee beans | 250 g | Shop North | £5.10 | £20.40/kg | Out of stock | None | 06:04 |
| BRD-008 | Sourdough loaf | 800 g | Daily Market | £2.50 | £3.13/kg | In stock | Back in stock | 06:04 |
| TEA-006 | Green tea | 80 bags | Fresh Basket | £3.25 | £0.04/bag | In stock | None | 06:05 |
The dataset, and one way to look at it.
Every pipeline publishes a checked dataset. Want a view without a BI team? Jsonify renders one from the schema — or send the rows to Sheets, Snowflake or your agent.
Retail price intelligence
Retail price intelligenceAverage basket price
Products available
Latest observations
| Product | Price change | Source |
|---|---|---|
| Barista oat drink 1L | £2.35 → £2.20 | Daily Market |
| Coffee beans 250g | £4.60 → £4.80 | Shop North |
| Sourdough 800g | Back in stock | Fresh Basket |
Understand real pricing
Capture regular prices, sale prices and promotion mechanics together.
Spot assortment gaps
Find new listings and products that disappear from a competitor’s range.
Track availability
Keep stock signals alongside price so your team can interpret each change.
Sources change.
Your data keeps flowing.
A retailer moves its price field. Jason diagnoses the failure, repairs the extraction code, and verifies the change before activating a new pipeline revision.
The next scheduled run uses the repaired code. Your dataset stays dependable, even when its sources don’t.
From your sources to your dataset.
Choose the scope. Jsonify builds the pipeline and keeps it running.
Your next dataset starts here.
Describe the data you need. Build for free with 100 rows a month, no credit card required.