What is Jsonify?
Jsonify builds and maintains pipelines that turn public website and mobile app data into structured datasets you can rely on every day.
Jsonify is a data product, not a one-off extraction tool. You describe the dataset you need. Jason, the agent inside Jsonify, explores the sources, builds a pipeline, runs it on your schedule, checks the rows before publishing them, delivers them where your team works, and repairs the pipeline when a source changes.
Start with the data you need
A good brief names the sources or the market, the fields you want, and how often the data should refresh. You do not have to know how the sites work.
Collect product names, prices, pack sizes and availability from these grocery websites every day. Keep the source URL and currency with each row so I can compare offers.
From that brief Jason proposes sources, fields and a schedule, builds the pipeline, and runs it once so you can review a sample. See Your first pipeline.
You can start in Jsonify or connect your own agent and ask from there. The free plan includes 100 rows each month; teams that need a managed deployment work with us through Enterprise.
What you get
Every pipeline has a statement of work and a step diagram, so anyone on the team can see what it collects and how.
Runs on a scheduleDaily, weekly or custom. Each run records what it fetched, how long it took and what it published.
Checked rowsTypes, missing values, duplicates and volume are checked before a dataset version is published.
Delivered where you workSheets, Slack, warehouses, webhooks, an HTTP API, and MCP for your own agent.
Provenance for every valueClick any row to see the source page, the fetch and a screenshot of what was collected.
Repair when sources changeJason diagnoses a failing step, repairs the pipeline, verifies the fix and activates a new version.
A pipeline that keeps running
The difference between a one-off extraction and a dataset is time. A page collected once is a snapshot. A pipeline that runs every morning, checks itself, and repairs itself is a data source your decisions can depend on.
Every run publishes a new version of the dataset. Older versions stay available, so you can compare last week with today, roll back a bad publish, or pin the version a dashboard uses. See Dataset versions.
When a source changes its layout, the next run fails or returns fewer rows than expected. Jason investigates, repairs the pipeline as a new version, verifies it against a sample, and activates it. The next live run publishes with the fix. How pipelines work walks through the whole cycle.
Common starting points
| You want to track | Typical fields | Refresh |
|---|---|---|
| Product prices and promotions | product, brand, price, previous price, promotion, availability, retailer, URL | Daily |
| Restaurant menus and venues | venue, item, section, price, dietary tags, source | Weekly |
| Property or job listings | title, location, price or salary, posted date, listing URL | Daily |
| Reviews and ratings | product, rating, review text, date, reviewer, source | Daily |
| News and announcements | headline, outlet, published time, summary, URL | Hourly to daily |
| Quotes behind a form (enterprise) | scenario inputs, premium or rate, provider, terms | Weekly |
The solution examples show how different sources lead to different pipeline shapes. The tutorials build small pipelines you can copy.
Where Radar and Benchmark fit
Radar monitors information that is already visible on websites and apps. Benchmark Enterprise runs defined journeys through forms to collect the offers that appear afterwards. Jsonify launches with Radar; Benchmark is available through enterprise. See Radar or Benchmark?.
Collection scope and responsibility
You choose the sources and the scope. Access requirements and the appropriate collection approach depend on those sources, and some sites cannot or should not be collected. Read the Legal FAQ for the policies and responsibilities that apply.
Jsonify never invents values. When a page cannot be read, is blocked, or is ambiguous, the row is held or the run is flagged for review rather than filled in.