# Convert a URL to LLM-friendly input — Jina Reader

Botize method — `jina_reader.read_url` (action).

This will return the main content of the page in clean, LLM-friendly text.

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.

- `mb_switch` *(boolean)* — Rules
- `url` *(string)* — URL
- `x_target_selector` *(string)* — Target Selectors
- `x_remove_selector` *(string)* — Remove Selectors

It also accepts repeatable field groups, with these prefixes: `mb_filters_*`. 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.

- `{{title}}` *(text)* — URL Title
- `{{description}}` *(text)* — URL Description
- `{{content}}` *(text)* — Content
- `{{usage_tokens}}` *(int)* — Usage tokens

## Account

Needs a connected Jina Reader account in Botize: https://botize.com/en/app/jina_reader/authenticate

## This app

Every trigger and action for Jina Reader: https://botize.com/en/app/jina_reader.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/jina_reader/read_url