# Add data to a document

As you could have already noticed, NeuralText is able to extract a lot of data from pages ranking on Google.

Sometimes you might want to add these data to the document.

This article will explain what are the available options to include data in the document.

### Import from URL

<figure><img src="/files/Tgbh2voDcaq2hvJYBWJo" alt=""><figcaption></figcaption></figure>

You can import content from external URLs in this way:

1. Click on the “Import from URL” icon in editor toolbar
2. Insert the URL in the field
3. Click on “Process URL”
4. After a few seconds, you will see a preview of the extracted article
5. Click on “Confirm” button to insert in the editor

<details>

<summary><strong>Why NeuralText is unable to pull data from some URLs?</strong></summary>

Although are doing our best to extract the text content from competitor pages as possible, sometimes we cannot get the data we need.

Below are a few reasons why this might be the case:

* **Several pages lack enough text content.** We use heading tags to evaluate if a page has enough text content to be considered useful to the user. Our extraction algorithms tend to consider the main content of a page, removing all the boilerplate (navbar, sidebar and footer links etc.).
* Blocked Page - Some websites block third parties from programmatically accessing the contents of their site.
* Unstructured Content - There are many parts of a website that aren't part of the main content. For instance, a navigation bar, footer, sidebar, or any advertisements. Whenever we extract content from a page we try to get rid of these unimportant elements. When the page structure looks confusing to our system, it can mean we are unable to identify the content, and therefore can't extract the text from a page.

We are continuously improving our extraction engine. If you need some help, don’t hesitate to contact our friendly support.

</details>


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.neuraltext.com/feature-guides/content-briefs-and-serp-analysis/add-data-to-a-document.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.