Thunderbit

Jsonify vs Thunderbit

A spreadsheet today. A repeatable dataset tomorrow.

Thunderbit offers AI extraction in a browser extension, web app and API. Jsonify focuses on the reusable pipeline behind the output, including its code, checks and repair history.

Sources reviewed 11 September 2026 · Prices in USD

When Thunderbit fits

You want AI-assisted page extraction and quick exports, with scheduling available for repeated scraping.

Read Thunderbit’s product information ↗

When Jsonify fits

You want a versioned collection and verification workflow that can be inspected through its runs and repaired when sources change.

How Jsonify pipelines work →

What to compare in an evaluation

Thunderbit supports scheduled scraping and structured API extraction. We do not assume every request uses the same internal architecture or claim a measured cost advantage. Compare repeat-run consistency, field validation and total recurring cost using the same pages and schema.

Thunderbit: product details

Look at the run after the source changes.

A retailer moves its price field. Jason diagnoses the failed step, repairs the code and checks a sample before activating a new revision.

Look for the revision, the verification result and the next published run. Repairs that cannot be verified need further investigation.

How repairs work →
retail_pricesv24
  1. v23

    Published

    8,412 verified rows delivered.

  2. v23 → v24

    Repaired

    Price field moved. Extraction code updated.
    Sample verified before activation.

  3. v24

    Published again

    8,427 verified rows delivered with the repaired code.

Illustrative run history. Revisions and counts are example data, not a customer incident or a measured comparison.

The pipeline behind the rows.

Collect websites and apps in parallel, then match and check the results.

Pipeline revision v24
00 / BRIEF

Track grocery product prices, promotions and stock across retailer websites and mobile apps. Match identical SKUs and pack sizes and publish a daily dataset with changes.

01 / SOURCES Product catalog SKUs, brands and retailers 02 / COLLECT IN PARALLEL Read retailer websites Price and promotion details Read retailer apps Stock and app-only offers 03 / PROCESS & VERIFY Match products Pack size, SKU and brand 04 / PUBLISH Email report Retail prices Comparable shelf prices Snowflake XLSX
Illustrative pipeline. Customize the sources, fields, schedule and delivery.

Compare the price and the unit.

A row, a page, a credit and a software subscription buy different things.

Jsonify

Radar collection: 100 rows per month free. Estimate any monthly volume.

Radar rows / monthMonthly estimate (USD)
100Free
1,000$49 minimum
5,000$49 minimum
50,000~$199
100,000~$252
500,000~$499
1,000,000~$799
Over 1,000,000Contact us

Billed at month end for rows actually collected. Up to 100 rows free; $49 minimum above 100. Up to 100 rows per month: no charge. From 101 to 5,000 rows: $49. Above 5,000, billing scales smoothly with actual usage.

Rows that passed checks, repaired pipelines when sources change, and delivery to Sheets, Snowflake or your agent over MCP.

Compare the cost of a maintained dataset, including the time spent building, checking and repairing collection. Benchmark Enterprise Quote journeys are available through enterprise, not self-serve.

Choose your row volume →

Thunderbit

$9/ month · Starter, billed yearly

5,000 credits per year, provided upfront, and up to 5 scheduled scrapers. Free advertises 6 pages per month, with a maximum of 30 credits per page. API pricing is separate.

View Thunderbit’s pricing source ↗

Reviewed 11 September 2026. Annual-billing rates are labelled; taxes, add-ons and negotiated terms may differ. Compare an equivalent source list, refresh schedule, output and support scope.

Try it with your own sources.

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

Connect your data assistant

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

Connect in ChatGPT

  1. Open Settings → Security and login and enable Developer mode.
  2. Open Plugins and select + to create a connection. Name it Jsonify, add a short description, and paste the URL below.
  3. Use OAuth for authentication, select Create, and sign in to your Jsonify account when prompted.
  4. Start a new chat and select Jsonify from + → More, then describe your dataset.
Server URLhttps://factory.jsonify.com/mcp

If Developer mode is unavailable, your plan or workspace settings may restrict custom connections.

Official ChatGPT setup guide ↗

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