> For the complete documentation index, see [llms.txt](https://docs.redivis.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.redivis.com/reference/tables/exporting-tables/google-cloud-storage.md).

# Google Cloud Storage

The table export modal **Integrations** tab allows export of Redivis tables to [Google Cloud Storage](https://cloud.google.com/storage).

<div data-with-frame="true"><img src="/files/f4ziJiywfT96zCalSGbN" alt=""></div>

To export data to Cloud Storage, click **Export**, and then fill out the subsequent modal.

You'll need to authenticate with a Google account, and then specify the *Google Cloud Storage Bucket*, *Table name*, and an optional *prefix*. In addition, you can choose one of several [file types](/reference/tables/exporting-tables/download.md#file-types).

<div data-with-frame="true"><img src="/files/rHYAZbvnF9eKtzaCagqO" alt=""></div>

Once you confirm the export, your data will begin transferring to the specified Cloud Storage location and will provide a live-updating status of the transfer.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.redivis.com/reference/tables/exporting-tables/google-cloud-storage.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
