RadarNow available
Monitor what’s published.
Collect prices, menus, listings and availability from websites and apps. Follow what changes across sources and markets.
Describe the job.
Keep it running.
One product, from your first brief to a dataset that stays current. Jsonify builds the pipeline, runs it and repairs it when a source changes.
01 / Describe
Start with the data you need.
Tell Jsonify what to collect, which sources matter and how often it should refresh. A product catalogue, a menu tracker or a property listing feed: the brief defines the job.
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JasonI’ll keep the product, pack size, price and availability together, with a link back to each source.
✓ 3 sources inspected
✓ Product fields identified
✓ Daily refresh proposed
✓ Product fields identified
✓ Daily refresh proposed
Ask Jason to refine the brief ↑
02 / Build
Your brief becomes a pipeline.
Jsonify builds the steps that collect, process and verify your data. Follow the pipeline diagram and version history; ask Jason when you want to change the sources, fields or schedule.
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Retail prices
Ready to runOverviewStepsRun historyv24
01 / SourcesRetailer list3 public websites
02 / CollectFetch productsHTML → structured fields✓
03 / ProcessNormalize pricesCurrency · pack sizes✓
04 / PublishRetail pricesChecked dataset✓
✓ Pipeline built · 4 steps · Revision v24 Ask Jason to make a change
03 / Run
Run once. Then keep it current.
Run your pipeline and refresh it on a schedule. Collection workers handle the sources in parallel, while run history records what happened each time.
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Run history
Daily · 06:00 Collecting product pages Run #184 · v24
2,164 / 2,840Worker 1 · Retailer AWorker 2 · Retailer BWorker 3 · Retailer C
| Run | Status | Rows | Duration |
|---|---|---|---|
| Today · 06:00 | Running | 2,164 | 1m 42s |
| Yesterday · 06:00 | Completed | 2,840 | 2m 18s |
| Monday · 06:00 | Completed | 2,812 | 2m 09s |
04 / Verify
Check the rows before they arrive.
Check types, missing values and duplicates before publishing. Keep source context alongside each result so your team can trace and compare the data.
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Validation results
Checks complete✓TypesPrice fields are numeric
✓NullsRequired fields present
✓DuplicatesUnique product + source
2,840 rows published12 rows held for review
| Product | Price | Source | Result |
|---|---|---|---|
| Oat drink · 1L | £2.20 | Retailer A | ✓ Passed |
| Coffee · 250g | £4.80 | Retailer B | ✓ Passed |
| Green tea · 80 bags | — | Retailer C | Missing price |
05 / Deliver
Use the data where you work.
Sheets or Excel, refreshed on schedule. Snowflake, S3, Postgres and webhooks. Slack and Teams alerts. ChatGPT, Claude or Cursor over MCP. Or an automatic insights dashboard on a share link.
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Connections
After each verified runGoogle SheetsMarket watch / Retail prices
UpdatedSnowflakeINTELLIGENCE.PUBLIC.RETAIL_PRICES
SyncedTeam alertsNotify when a price changes
ConnectedYour agent · MCPThe same dataset in your conversation
Available✓ 2,840 checked rows · Delivered at 06:03
06 / Repair
A source changes. The pipeline adapts.
Jsonify diagnoses extraction failures, repairs the code and verifies the change before activating a new revision. Run history records what changed and whether the repair passed its checks. When a repair needs human attention, the issue remains available to review.
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Repair history
RecoveredSource change detectedRetailer B changed its product-page layout.
Collection step repairedPrice extraction updated. Revision v23 → v24.
Verification passedTypes, nulls and duplicates checked on 50 sample rows.
Run resumed2,840 checked rows published to your destinations.
Jason The price field moved. I updated the collection step and verified the repair.
One product. Two kinds of collection.
Radar monitors what’s published. Benchmark submits a scenario and collects the offer.
BenchmarkEnterprise
Compare what’s offered.
Run defined scenarios through forms to collect comparable insurance quotes, rental rates and personalised offers.
Build a dataset that keeps working.
Describe the data you need. Build for free with 100 rows a month, no credit card required.