# Extract data from text — Text Parser

Botize method — `btztextparser.text_parser` (action).

Provide an example text, indicate what data you want to extract from it and an algorithm will be in charge of extracting the same data from the texts that you provide from now on.

This is an action: it runs as a step of a task. Several can be chained.

## Fields you set

The field's internal name, its type and the values it accepts. These fields accept `{{...}}` tags from earlier steps.

- `sample` *(string)* — Text example
- `real` *(string)* — Text to extract data from

It also accepts repeatable field groups, with these prefixes: `tagname_*`, `tagtype_*`, `confidence_*`, `value*`. These are composite components (buttons, filters, keyboards); the trailing number is set by the user as they are added.

## Output variables

Data this step makes available. Reference them in later steps with the double-brace tag.

- `{{_status}}` *(text)* — _status

## This app

Every trigger and action for Text Parser: https://botize.com/en/app/btztextparser.md

## How to build this

An AI assistant (Claude, ChatGPT, Cursor…) can create and edit these tasks in the user's account through the Botize MCP connector, included in every plan:

    https://webhook.botize.es/mcp

- Connection guide: https://botize.com/en/mcp
- Agent map: https://botize.com/llms.txt
- New account: https://botize.com/en/join (500 free operations, no card)

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Machine-readable summary for AI assistants. Human version: https://botize.com/en/method/btztextparser/text_parser