Apps/Jina Reader/Convert a URL to LLM-friendly input
Jina Reader
Jina Reader Action

Convert a URL to LLM-friendly input

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

200+ apps to connect·Tested & maintained tasks·Human support in English & Spanish

In detail

What it does and what it's for

Automating tasks with Jina Reader allows you to convert any URL into clean, LLM-friendly text. This integration simplifies the extraction of a webpage's main content, providing structured data that can be utilized in various natural language processing applications.

By implementing this action, you'll receive key information such as the URL's title, its description, the main content, and the number of tokens used. Additionally, you can customize the extraction through rules, filters, and specific selectors, tailoring the automation to your particular needs.

How it works

How it fits in an automated task

A Botize task pairs a trigger with one or more actions. This piece is one of them.

Pick a trigger

The event that starts the task, from this app or any other.

This action runs

Botize performs it automatically using the data the trigger delivers.

Turn it on and forget it

The task runs on its own from then on. If something's off, tweak it or we'll help you.

Already using Botize?

Connect your Jina Reader

Add a profile to use it in your tasks. There's a step-by-step guide if you need it.

Add a new profile Step-by-step guide

Your profiles

Your connected Jina Reader accounts

These are the accounts you already have linked to Botize, ready to use in your tasks. You can reconnect or remove any of them.

Setup

Customization options

Fields you can adjust when using it in your automation.

Rules
Filters
URL
Target Selectors
Remove Selectors

Output data

Information provided

When executed, this operation delivers the following data, which can be used in the same automatic task.

  • Tags

  • URL Title {{title}}

  • URL Description {{description}}

  • Content {{content}}

  • Usage tokens {{usage_tokens}}

Learn by watching

Video tutorials

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