# Extract text from a URL — Google Chrome

Botize method — `btzchrome.get_landmark_text` (action).

Navigates to a URL and extracts the text content structured using the ARIA landmark tree, returning organized nodes with their texts.

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
- `sections` *(string)* — Sections (optional)
- `include_links` *(boolean)* — Include links (href + text)
- `include_images` *(boolean)* — Include images (src + alt)
- `mb_outputvars_switch` *(boolean)* — Customize tags

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.

- `{{url}}` *(text)* — URL. URL
- `{{landmark_text}}` *(text)* — Extracted text. Text content extracted from the page, structured by ARIA landmark nodes.
- `{{status_code}}` *(int)* — Status Code. Status Code

## Account

Needs a connected Google Chrome account in Botize: https://botize.com/en/app/btzchrome/authenticate

## This app

Every trigger and action for Google Chrome: https://botize.com/en/app/btzchrome.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/btzchrome/get_landmark_text