Radar
Keep up with your market. Every day.
Radar follows what’s already visible on websites and mobile apps: prices, promotions, catalogs and listings. Turn those changing sources into a checked dataset, refreshed on your schedule.
| Product | Source | Price | Change | Product ID | Pack size | Availability | Collected at |
|---|---|---|---|---|---|---|---|
| Barista oat drink 1L | Grocery website | £2.20 | −6.4% | OAT-001 | 1 L | In stock | 2026-09-13 06:02 UTC |
| Barista oat drink 1L | Delivery app | £2.35 | Unchanged | OAT-001 | 1 L | In stock | 2026-09-13 06:03 UTC |
| Sourdough 800g | Grocery website | £2.50 | −9.1% | BRD-008 | 800 g | In stock | 2026-09-13 06:04 UTC |
| Coffee beans 250g | Retailer app | £4.80 | +2.1% | COF-025 | 250 g | Low stock | 2026-09-13 06:05 UTC |
| Greek yoghurt 500g | Grocery website | £1.85 | New listing | YOG-005 | 500 g | In stock | 2026-09-13 06:06 UTC |
From your sources to your dataset.
Choose the scope. Jsonify builds the pipeline and keeps it running.
See what moved
Compare each run with the last to spot price changes, new products and disappearing listings.
Keep the context
Retain the source, collection date and relevant product attributes alongside every price.
Get it where you work
Send checked rows to your warehouse, a spreadsheet or an API. Route changes to an alert.
What will you collect with Radar?
Explore datasets built from published prices, menus and listings.
Food & Beverage
Track venue menus, brand presence and pricing across websites and delivery apps.
Explore use case →Retail
Monitor competitor prices, promotions, availability and assortment.
Explore use case →Ecommerce
Track marketplace offers, sellers, availability and product ratings.
Explore use case →Real Estate
Track public property listings, asking prices and availability changes.
Explore use case →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.
Your next dataset starts here.
Describe the data you need. Build for free with 100 rows a month, no credit card required.