---
title: "GoogleDriveFetcher"
id: googledrivefetcher
slug: "/googledrivefetcher"
description: "Fetches the full content of Google Drive files via the Drive API v3 and returns it as ByteStreams."
---

# GoogleDriveFetcher

Fetches the full content of Google Drive files via the Drive API v3 and returns it as ByteStreams.

<div className="key-value-table">

|  |  |
| --- | --- |
| **Most common position in a pipeline** | After [`GoogleDriveRetriever`](../retrievers/googledriveretriever.mdx), before a Router or File Converters |
| **Mandatory init variables** | None |
| **Mandatory run variables** | `access_token`: A delegated Google OAuth bearer token, typically wired from an upstream `OAuthTokenResolver`  <br /> <br />`targets`: A list of `Document`s (from `GoogleDriveRetriever`) or raw Google Drive file ids / URLs |
| **Output variables** | `streams`: A list of [ByteStreams](../../concepts/data-classes.mdx) holding the fetched content |
| **API reference** | [Google Drive](/reference/integrations-google-drive) |
| **GitHub link** | https://github.com/deepset-ai/haystack-core-integrations/tree/main/integrations/google_drive |
| **Package name** | `google-drive-haystack` |

</div>

## Overview

`GoogleDriveFetcher` downloads the full content of Google Drive files through the [Drive API v3](https://developers.google.com/drive/api/reference/rest/v3) and returns `ByteStream` objects, ready for a downstream converter.

It complements [`GoogleDriveRetriever`](../retrievers/googledriveretriever.mdx), which returns only metadata (and optionally exported text). Wire the retriever's `documents` (or a list of file ids / Drive URLs) into the fetcher to download the underlying content. The fetcher dispatches on each file's mime type:

- **Binary files** (PDF, DOCX, images, ...) are downloaded as-is via `files.get?alt=media`.
- **Native Google Docs/Sheets/Slides** are exported with `files.export`, by default to the Office formats (DOCX/XLSX/PPTX), configurable via `export_mime_types`.
- **Folders** and other non-downloadable Google types (Forms, Sites, ...) are skipped.

Each `ByteStream`'s `meta` carries `file_id`, `web_url`, `file_name`, and `content_type`. Because the output is a list of `ByteStream`s of mixed types, the typical next step is a [`FileTypeRouter`](../routers/filetyperouter.mdx) that dispatches each stream to the right converter ([`PyPDFToDocument`](../converters/pypdftodocument.mdx), [`DOCXToDocument`](../converters/docxtodocument.mdx), [`XLSXToDocument`](../converters/xlsxtodocument.mdx), or [`PPTXToDocument`](../converters/pptxtodocument.mdx)).

### Authentication

The fetcher takes a per-user `access_token` as a run input. The token must carry a delegated Google OAuth scope that allows reading file content, for example `https://www.googleapis.com/auth/drive.readonly`. Typically you wire it from an upstream [`OAuthTokenResolver`](../connectors/oauthtokenresolver.mdx), which emits a plain string. A `Secret` is also accepted and resolved internally.

### Error handling and concurrency

- `raise_on_failure` (default `True`): when `False`, a failed fetch is logged and the file is skipped, so the remaining files are still returned.
- `max_retries` (default `3`): retries on throttled (HTTP 429) and transient server errors.
- `max_concurrent_requests` (default `5`): bounds the number of files fetched concurrently by `run_async` to avoid tripping Drive rate limits. It has no effect on the synchronous `run`, which fetches files one at a time.
- `export_mime_types`: overrides the default native-Google-to-Office export mapping. Drive caps a single export at 10 MB.

### Installation

Install the Google Drive integration with:

```shell
pip install google-drive-haystack
```

## Usage

### On its own

`access_token` below is a per-user delegated Google OAuth bearer token. You can pass either raw file ids / Drive URLs or the `Document`s produced by `GoogleDriveRetriever`.

```python
from haystack_integrations.components.fetchers.google_drive import GoogleDriveFetcher

fetcher = GoogleDriveFetcher()

result = fetcher.run(
    access_token="my-delegated-google-token",
    targets=[
        "https://drive.google.com/file/d/1AbCdEfGhIjKlMnOpQrStUvWxYz/view",
    ],
)

for stream in result["streams"]:
    print(stream.meta["file_name"], stream.meta["content_type"])
```

### In a pipeline

The following query pipeline ties the whole integration together: an [`OAuthTokenResolver`](../connectors/oauthtokenresolver.mdx) provides a token, [`GoogleDriveRetriever`](../retrievers/googledriveretriever.mdx) searches Drive, `GoogleDriveFetcher` downloads the matching files, and a [`FileTypeRouter`](../routers/filetyperouter.mdx) sends each `ByteStream` to the right converter. Note that the resolver's single `access_token` output feeds both the retriever and the fetcher.

```python
from haystack import Pipeline
from haystack.utils import Secret
from haystack.components.routers import FileTypeRouter
from haystack.components.converters import PyPDFToDocument, DOCXToDocument

from haystack_integrations.components.connectors.oauth import OAuthTokenResolver
from haystack_integrations.utils.oauth import OAuthRefreshTokenSource
from haystack_integrations.components.retrievers.google_drive import (
    GoogleDriveRetriever,
)
from haystack_integrations.components.fetchers.google_drive import GoogleDriveFetcher

pipeline = Pipeline()
pipeline.add_component(
    "resolver",
    OAuthTokenResolver(
        token_source=OAuthRefreshTokenSource(
            token_url="https://oauth2.googleapis.com/token",
            client_id="aaa-bbb-ccc",
            refresh_token=Secret.from_env_var("GOOGLE_REFRESH_TOKEN"),
            scopes=["https://www.googleapis.com/auth/drive.readonly"],
        ),
    ),
)
pipeline.add_component("retriever", GoogleDriveRetriever(top_k=5))
pipeline.add_component("fetcher", GoogleDriveFetcher())
pipeline.add_component(
    "router",
    FileTypeRouter(
        mime_types=[
            "application/pdf",
            "application/vnd.openxmlformats-officedocument.wordprocessingml.document",
        ],
    ),
)
pipeline.add_component("pdf_converter", PyPDFToDocument())
pipeline.add_component("docx_converter", DOCXToDocument())

# The same token feeds both the retriever and the fetcher.
pipeline.connect("resolver.access_token", "retriever.access_token")
pipeline.connect("resolver.access_token", "fetcher.access_token")

# The retrieved documents become the fetcher's targets.
pipeline.connect("retriever.documents", "fetcher.targets")

# Route each fetched ByteStream to the matching converter.
pipeline.connect("fetcher.streams", "router.sources")
pipeline.connect("router.application/pdf", "pdf_converter.sources")
pipeline.connect(
    "router.application/vnd.openxmlformats-officedocument.wordprocessingml.document",
    "docx_converter.sources",
)

result = pipeline.run({"retriever": {"query": "quarterly roadmap"}})
```
