Web SummitWe were atOur Web Summit 2026, in graphs in graphsRead

Reliable datasets
from the unreliable web

You need data. We read websites, documents and apps to find it, verify each row, deliver a dataset on schedule, and repair the pipeline when sources change.

100 rows free, no credit card needed!
Try Or connect your agent
You ask Jason for every delivery restaurant in London and their menus. He reads Deliveroo and Uber Eats through their mobile apps and Just Eat through its website, matches venues across apps and collects every menu item with its price. The dataset is filtered to margherita pizzas to show the same pizza priced differently on different apps, one row is opened to show its details and the actions taken to collect it, the pipeline is set to run weekly and deliver to Google Sheets, and the rows land in a Sheet.
  • Since 2023 we’ve extracted billions of data points for teams at
  • Bacardi
  • PwC
  • Helicone
  • Geopost
  • Betaworks
  • Norlys
  • Plug and Play
  • Mintlify
  • The Grants Hub
  • Prediction News Network

Meet Jason. He’s on call so you don’t have to be.

Jason is Jsonify’s AI data engineer. Tell him what you need.

  1. 01You describe it. One sentence, or the list you already track.
  2. 02Jason builds it. He tests the steps on a sample.
  3. 03The pipeline runs it. Same checks, every run.
  4. 04Jason repairs it. When a site changes.
# pricingExample

  1. paulh

    @Jason track every oat drink at our 12 grocers. Match them to our 46 SKUs by pack size, check daily at 6am, and post here when anyone undercuts us by 5% or more.

  2. JasonApp

    On it. I’ll post here as I go.

    • Found product pages on all 12 sites
    • Matched 1,284 listings to your 46 SKUs
    • Sample run: 200 of 200 rows passed checks
    • Scheduled daily at 06:00

    Done. First run found 2 undercuts:

    Oat drink 1L · Greenway£1.85−8%

    Barista oat 1L · Fresco£2.05−6%

  3. Thursday

  4. JasonApp

    Run failed checks Greenway changed its product pages overnight. Nothing was published from this run.

    • Found the new price layout
    • Repaired the pipeline
    • Re-ran Greenway: 107 of 107 rows passed

    Pipeline repaired Today’s data is in, 19 minutes late.

Message #pricing

One pipeline instead of five tools.

Each tool does one job well. You’re the one holding them together.

Today's rows. Probably.
Your
dataset
cron job
GlueZapier n8n Make
Fails quietly on a Sunday
Great for 300 rows, not 300,000
Vibe-coding scriptsChatGPT Claude
Scraping APIFirecrawl Apify ScrapingBee
Breaks when a site changes
Residential? Datacenter? Mobile? What?
ProxiesBright Data Oxylabs
SearchSerpApi Exa
5 bills,
5 services to understand
You 😕on call, getting woken up at 3am 🚨
Fixing everything. This is your job now.

Yes, you can absolutely build this yourself: just find the pages with SerpApi, scrape them with Firecrawl, fall back to Bright Data for the sites that block it, have Claude vibe-code a script to dedupe the rows, run it from cron on a server you manage and use n8n to push the results into Sheets. Then do that again for the other 49 sites, make it hold up at 300,000 rows instead of 300, and keep it all running by yourself forever…

Your dataset
You 😎🏖️at the beach,
phone on silent
Jsonify
  • Find
  • Fetch
  • Extract
  • Verify
  • Repair
  • Scale
  • Schedule
  • Deliver
…or you could just ask Jason.

What a pipeline looks like at scale.

Explore pipelines across verticals

All solutions
00 / BRIEF

Featured datasets.

Built by Jason, refreshed on schedule, free to download.

Browse all datasets

Any website. Any app.

We work with public web and app data, globally, in over 70 languages. Every icon below is a real source Jason has learned to read, and he’s learning more each day.

[1] Field-level recall and precision against 10,000 hand-collected menu items, ground truth by QA firm Zeal.

[2] Median time from a failed run to the fix going live, all pipelines, over the 30 days to 14 November 2026. Including the full production rerun that follows, the median is 20m 50s.

[3] Live count of the sites and apps Jason has learned to read, from the source directory; Jsonify keeps learning new ones as pipelines meet them.

Data arrives where you work.

Spreadsheets, warehouses, alerts or your AI assistant. No tools yet? Use a shared dashboard.

ChatGPT plugin store ↗ Claude connectors directory ↗

  • Google Sheets
  • Excel
  • Snowflake
  • S3
  • Postgres
  • Webhooks
  • Slack
  • Email alerts
  • Claude
  • ChatGPT
  • Cursor
  • Shared dashboard

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.

Free tier

$0/ month

100 rows every month, free. Above that, the $49 monthly minimum covers up to 5,000 rows. 50,000 rows is ~$199 a month and 1,000,000 is ~$799. See per-row pricing →

  • Building is free
  • Previews are free
  • Repairs are free
Build →Book a demo
  • SOC 2 Type IIIndependently audited
  • GDPRDPA & SCCs available
  • EU AI ActTransparency built in
  • Personal dataPseudonymisation for enterprise scopes
  • Google CloudBuy on Marketplace ↗

Built for enterprise security.

Audited controls, a GDPR DPA, and personal-data pseudonymisation and filtering that can be configured for enterprise scopes. Enterprise security →

Frequently asked questions

Can't ChatGPT or Claude just do this?
Use ChatGPT or Claude to work with your data. Jsonify handles recurring collection, checks and repairs, and brings the resulting datasets into your assistant: it is on the ChatGPT plugin store, in the Claude connectors directory and an MCP server for the rest. 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 like Firecrawl or Parallel?
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 →
Why not build this ourselves?
You can, and the tools are cheap. The cost is developer time: writing the checks, then repairing the pipeline each time a source changes. We’ve priced the whole bill next to Jsonify’s row price. Compare the cost per 1,000 rows →
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 getting around logins and paywalls. Read the legal FAQ →
How quickly can I get a first dataset?
Tell Jason what you need. He finds the sources, builds the pipeline and runs a sample for you to check before it goes on a schedule. One site is quicker than a dozen matched to your catalogue. Start with your data assistant →
What happens to our data if we stop using Jsonify?
You can export your datasets. Enterprise agreements can also include pipeline code access and export, with the licence, dependencies and handover defined in the contract. Review continuity and vendor risk →

Your next dataset starts here.

Describe the data you need. Build for free with 100 rows a month, no credit card required.

Build →Book a demo

Migrate from your current tool

Share what you run on your current tool today. Jason, Jsonify’s AI data engineer, reads it and proposes the same pipelines on Jsonify, with checks and repairs built in.

Don’t include passwords or API keys. Exports, task configs and screenshots can be attached in Jsonify on the next step. Privacy

Connect your data assistant

Build datasets and work with your data in Claude, ChatGPT, Copilot or another assistant.

Connect in Claude

  1. Open the Jsonify connector: Open on Claude.ai ↗
  2. Select Connect and sign in to Jsonify.
  3. In a chat, enable Jsonify under + → Connectors and describe the data you need.
Advanced

Team or Enterprise account? Your workspace owner enables Jsonify once for everyone from Admin settings → Connectors. Jsonify is a community connector in the directory — some admins allow those by default, some review them first.

No directory? Add it by hand: Settings → Connectors → + Add custom connector, name it Jsonify, paste the server URL below, then Connect.

Server URLhttps://factory.jsonify.com/mcp

Official Claude custom-connector guide ↗

Then say: “build me a dataset of competitor product prices and availability, refreshed daily”. Full instructions per client on /connect.

What data do you need?

Describe it in a sentence or two. Jason proposes the sources, fields, checks and schedule before anything runs.

Try
100 rows a month free. No credit card.