Jsonify builds extraction pipelines that fetch, process and verify public data from websites and mobile apps at scale, then keeps them running, repaired automatically when a source changes. Describe once. Rely on it every day.
Describe the data you need and build for free, no credit card required. ·Connect your own agent
Since 2023 we’ve extracted billions of data points for teams at
“The opportunity is validated. You did a very good job: your flexibility, the extractions, the speed… it’s quite impressive. This could really become a new capability for Bacardi.”
Jesus Checa
Chief Innovation Officer, Bacardi
“The speed, adaptability, and precision of Jsonify have truly stood out. It’s been impressive to see how quickly the product delivers real value in a dynamic environment.”
Philipp Hodl
Plug and Play Ventures
Ask Jason to track UK grocery prices daily. Select six supermarket websites and Android apps. Jason builds the pipeline; workers read six sources in parallel and output 248,612 structured rows. The finished pipeline discovers products, extracts and validates data, and publishes a dataset every day with automatic retries and run history. When a source page changes, Jason repairs the extraction code and verifies a sample; the scheduled pipeline resumes. All data in this demonstration is illustrative.
Your business needs data. Jsonify can find it.
JasonYour data agent
New pipeline
I’ll build a daily price monitor. Let’s choose your sources.
Tell Jason what you need↑
From a sentence to a working plan.
Your market. Your sources.
Where should we look?
Grocery prices, availability and promotions.
✓TESCOtesco.com
✓Sainsbury’sAndroid app
✓ASDAAndroid app
✓Morrisonsmorrisons.com
✓Waitrosewaitrose.com
✓ocadoAndroid app
0 sources selectedBuild my pipeline →
You choose the scope. Jason takes it from here.
Straight from the source.
tesco.com / groceries / oat-drinks
TESCOGroceries Offers Favourites ♧ Basket
FIELD & OAToat.BARISTA EDITION 1 LITRE
Groceries / Dairy alternatives
Field & Oat Barista Oat Drink 1L
★★★★★ (128)
£2.20£2.50
● In stock · £2.20 / litre
Add to basket
T
price · number2.20 GBP
Reading products, prices and promotions…
One agent gets a price. A whole team gets your market.
1 workers working0 rows collected
248,612rows.One clean dataset. Every source accounted for.
▤UK grocery prices
↓ Export dataset
DataSchemaSources · 6Run history
Product
Retailer
Price · GBP
Available
Collected
Field & Oat Barista 1L
TTesco
2.20
✓ In stock
Today, 06:02
Field & Oat Barista 1L
SSainsbury’s
2.35
✓ In stock
Today, 06:02
Field & Oat Barista 1L
AAsda
2.15
✓ In stock
Today, 06:03
Meadow Greek Yogurt 500g
WWaitrose
2.80
✓ In stock
Today, 06:03
Orchard Cloudy Apple 1L
OOcado
1.95
✓ In stock
Today, 06:04
Showing 5 of 248,612 rows✓ Validated and published
Field & Oat Barista 1LTesco2.20 GBP✓ In stock
Typed fields. Matched products. Ready to use.
And a pipeline that keeps it coming.
◈ UK grocery price monitor✓ Run completed
Steps OutputsActivityLogs
SOURCES
COLLECT & VALIDATE
PUBLISH
Supermarket URLs6 selected sources✓
Discover productsBrowse every category✓
Extract pricesParallel product workers✓
Validate & matchTypes, nulls, duplicates✓
▤ Grocery pricesPublished dataset✓
613,284 pages→248,612 rows
✓ All checks passed · 248,612 rows published · Next run tomorrow at 06:00
Built by Jason. Every step visible.
Fresh today. And tomorrow. And the day after.
UK grocery price monitorEvery day at 06:00 · Europe/London
Today 248,612 rows published✓ All checks passed
Yesterday 247,908 rows published✓ All checks passed
Tuesday Scheduled run↻ Recovered
Pages change, apps update. Jason keeps the data flowing.
UK grocery price monitorSource change detected
TESCOProduct page
Field & Oat Barista Oat Drink 1L
£2.20In stock
Page layout changed
price · verified ✓
Same product. New page layout.
JasonAutomatic maintenance
!
Detect the changeThe price field moved.
✓
↻
Repair the extraction codeUpdate how this source is read.
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.
Checked, not confident.
General chat tools are great for exploring ideas and answering questions. But when you need the same fields collected from thousands of pages every day, a convincing answer isn’t enough. You need repeatable behaviour and evidence you can check.
With Jsonify, every row links to the page it came from, when it was read, and which version of the pipeline read it. Run the same pipeline tomorrow: if the page hasn’t changed, neither have the extracted values.
For best results, connect your favourite AI chatbot to Jsonify and get the best of both worlds.
You're absolutely right, I didn't. That's a real gap. You're right to push on this. I should have said upfront that I hadn't verified it rather than presenting it as if I had. That's on me.
Let me be direct: I didn't check it, I inferred it, and I stated the inference with more confidence than it deserved. Thank you for catching that.
I want to be genuinely honest here — I appreciate you holding me to a higher standard. This is exactly the kind of feedback that helps.
And to be clear, the distinction you’re making is an important one. I should have separated what I knew from what I assumed, and what I assumed from what I had actually checked. Going forward, I’ll be more explicit about that distinction, because you deserve an answer you can rely on, and I appreciate the opportunity to do better.
What I want to acknowledge is that acknowledging the issue is only the first step. The more useful thing would have been to check before answering, rather than explain afterward why checking would have been useful.
You’re right to expect more than a confident-sounding response. Let me take a step back and be transparent about the limitations of my earlier transparency, because that distinction deserves a more careful answer.
Oat drink 1LTesco · In stock · £2.20 / litre
£2.20
Source page
tesco.com/…/oat-drink
Read at
04:10 UTC
Pipeline
version 13.1
Repeat run · version 13.1 · £2.20
Same source content. No extracted values changed.
See where this came from ↗
Data arrives where you work
Sheets or Excel, refreshed on schedule. Snowflake, S3, Postgres, webhooks. Slack and Teams alerts when something moves. Your data agent — ChatGPT, Claude, Cursor — over MCP. Or a dashboard on a share link, if you don't have one already.
Radar observes the market
Radar continuously monitors what’s already visible on the public web and in mobile apps: product pricing, promotions, catalog changes, menus, and listings, normalized into clean datasets that stay fresh every day.
Some prices only exist behind a form. Benchmark runs enterprise pricing journeys — insurance quotes, ISP plans, utilities, rental cars — across personas and competitors, so you can see personalized offers side by side.
Every pipeline starts from your list, reads every source in parallel, matches and checks the rows, and publishes one dataset.
00 / BRIEF
Track what restaurants and bars are serving, and what they charge. Jsonify collects menus from venue websites and delivery apps, then standardizes items and prices into one checked dataset. Spot new listings, menu changes and pricing trends across markets.
An illustrative menu-monitoring pipeline. A venue list branches into website and delivery-app discovery. Parallel workers extract menu items from both sources. Results merge, normalize and pass validation before publication as one dataset.
Any market. Any source.
Agents that explore any page, app or form — and build the pipeline that reads it.
[1] Field-level recall and precision against 10,000 hand-collected menu items, ground truth by QA firm Zeal.
[2] Median, failed run to verified repair, all pipelines, trailing 30 days, last updated Sept 2026.
[3] Jsonify is constantly building new domain knowledge as it encounters new commonly-used websites and apps.
Frequently asked questions
Can't ChatGPT or Claude just do this?
ChatGPT and Claude are reasoning tools. Jsonify is data infrastructure. A chat gives you an answer today; a pipeline gives you the same typed rows every morning, checked and repaired when the site changes. Point ChatGPT or Claude at Jsonify’s output and you get both. Connect your data assistant →
Is Jsonify just a web scraping tool?
A scraper returns pages from a site; a pipeline returns one checked dataset from all of them. The pipeline is repaired when the source changes, so your team can rely on the dataset every day. Take the product tour →
Why not just use a fetch API?
A fetch API gets you source content, and some also monitor changes. You still need to turn that content into your schema, check the rows, deliver them and maintain the code when the source changes. Compare a fetch API with a maintained dataset →
What happens if a pipeline can’t repair itself?
The pipeline holds its last good result. A human reviewer gets the code diff and the evidence, and you’re notified. Unverified results aren’t published; the pipeline resumes only after the repair passes verification. Read about repairs and review →
Is the collection authorised?
Public visibility alone does not settle permission to collect or use data. We define the sources, intended use and access method with you; our terms require authorised access and prohibit circumvention. Read the legal FAQ →
What counts as a row, and what’s in the free plan?
A row is one structured record that passes type, null and duplicate checks and reaches your dataset. The free plan includes 100 rows each month, with no credit card required. Retries, blocked pages and repairs don’t count. See pricing →
How do I change what a pipeline does?
Tell Jason what needs to change: sources, fields, checks, schedule or delivery. Jsonify updates the pipeline, while its diagram, revision history and run results show what’s happening. See how a pipeline is built →
You need rows. You pay for rows.
Not credits, not browser minutes, not pages fetched, not proxy data, not the time it takes to build or repair. A row is counted only when it has passed its checks and reached your dataset. Building is free. Previews are free. Repairs are free.
$0 / month
100 rows every month, free. Above that, per-row pricing applies.
