Jsonify builds self-repairing data pipelines from websites and apps. Review of features, integrations and per-row pricing, with 100 free rows a month.
Researched and fact-checked by Bartu Cavusoglu · Updated October 26, 2026
Jsonify is a data pipeline platform that turns public websites and mobile apps into verified datasets. It is aimed at pricing, category and market-intelligence teams that need the same information refreshed on a schedule, rather than a one-off export.
The core idea is that a request becomes a repeatable pipeline. A user describes the data once, the platform collects the right fields, checks every row and repairs the pipeline when a source changes. The company was founded in 2023 and works from Lisbon, London and New York.
Jsonify says it has collected billions of data points for teams in consumer goods, retail, beverage, beauty, consulting and financial services.
A user describes the job in plain language or attaches a list of what they already track. Jason, Jsonify's AI data engineer, proposes the sources, fields and schedule, builds the extraction steps and verifies a sample. Nothing runs until the user confirms the configuration.
After that, the pipeline runs on schedule using the same steps each time. It fetches sources in parallel, extracts fields, normalizes values, matches products, runs checks and publishes a new immutable dataset version. Each row keeps its source, timestamp and pipeline version.
If a source changes and a run fails, Jason diagnoses the problem, repairs the pipeline and verifies a sample before the schedule resumes. When a repair needs a person, the pipeline holds its last good result and a reviewer receives the code diff and evidence.
Pipelines are readable as a list of steps, with a version history that records every change and why it was made. Users can ask Jason to add a source, a field or a new schedule later, and the change arrives the same way. Checks cover types, missing values and duplicates before anything is published.
Radar monitors published data such as prices, promotions, stock, menus and listings across websites and apps. Datasets can open as dashboards that filter by retailer or category and can be shared on a link with people who never log in.
Delivery covers Google Sheets, Excel, Snowflake, BigQuery, Postgres, MySQL, S3, webhooks, Slack and email alerts. Assistants such as Claude, ChatGPT, Copilot and Cursor can work with the data over MCP.
Jsonify is a data pipeline platform that turns public websites and mobile apps into verified datasets. It builds the extraction pipeline from a plain-language brief, runs it on a schedule and repairs it when a source changes.
The first 100 rows each month are free. Paid usage has a $49 monthly minimum covering 101 to 5,000 rows, then scales with the rows collected, billed at month end. Enterprise pricing is agreed with the company.
Yes. The free tier includes 100 rows per month with no credit card required, and building, previews and repairs are free. Unused free rows do not roll over.
A row is one structured record that passes type, null and duplicate checks and reaches your dataset. Retries, blocked pages and repairs do not count.
It delivers to Google Sheets, Excel, Snowflake, BigQuery, Postgres, MySQL, S3, webhooks, Slack and email. It also connects to Claude, ChatGPT, Copilot and Cursor, and supports any assistant that can use a remote MCP server with OAuth.
Jason diagnoses the failure, repairs the pipeline and verifies a sample before the schedule resumes. If it cannot repair automatically, the pipeline holds its last good result and a human reviewer gets the code diff and evidence.
It collects public data by automated means, which its legal FAQ calls web scraping in the ordinary sense. What it sells is a maintained pipeline with row checks, scheduled delivery and repair, and users confirm sources and fields before collection starts.
It suits pricing, category and market-intelligence teams at brands, retailers, insurers, utilities and consultancies that need recurring datasets from many sources. Teams wanting a one-off scrape may find a simpler tool enough.