---
title: Google Drive Reader
 | Developer Documentation
---

Demonstrates our Google Drive data connector

## Prerequisites

Follow [these steps](https://developers.google.com/drive/api/quickstart/python#set_up_your_environment) to setup your environment.

1. Enable the Google Drive API in your GCP project.

2. Configure an OAuth Consent screen for your GCP project.
   - It is fine to make it “External” if you’re not in a Google Workspace.

3. Create client credentials for your application (this notebook).

   - Make sure to use “Desktop app” as the application type.
   - Move these client credentials to the directory this notebook is in, and name it “credentials.json”.

If you’re opening this Notebook on colab, you will probably need to install LlamaIndex 🦙.

```
%pip install llama-index llama-index-readers-google
```

```
import logging
import sys


logging.basicConfig(stream=sys.stdout, level=logging.INFO)
logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))
```

```
from llama_index.core import SummaryIndex
from llama_index.readers.google import GoogleDriveReader
from IPython.display import Markdown, display
```

## Choose Folder to Read

You can find a folder ID by navigating to a folder in Google Drive then selecting the last part of the URL.

For example, with this URL: `https://drive.google.com/drive/u/0/folders/abcdefgh12345678` the folder ID is `abcdefgh12345678`

```
# Replace the placeholder with your chosen folder ID
folder_id = ["<your_folder_id>"]


# Make sure credentials.json file exists in the current directory (data_connectors)
documents = GoogleDriveReader().load_data(folder_id=folder_id)
```

```
index = SummaryIndex.from_documents(documents)
```

```
# Set Logging to DEBUG for more detailed outputs
query_engine = index.as_query_engine()
response = query_engine.query("<query_text>")
```

```
display(Markdown(f"<b>{response}</b>"))
```