--- title: "Google Drive" slug: "google-drive" description: "Connect Google Drive to Dataddo and sync its data to any dashboard, database, or data warehouse. No coding required." updated: 2026-07-12T16:27:08Z published: 2026-07-12T16:27:08Z canonical: "docs.dataddo.com/google-drive" --- > ## Documentation Index > Fetch the complete documentation index at: https://docs.dataddo.com/llms.txt > Use this file to discover all available pages before exploring further. # Google Drive **Google Drive** is a cloud-based file storage and synchronization service developed by Google that allows users to save files on their servers, making them accessible from any device. It facilitates real-time collaboration and sharing, and integrates with the Google Docs Editors suite (Docs, Sheets, Slides) for creating and editing documents online. ## Authorize Connection to Google Drive To authorize this service, use **OAuth 2.0** to share specific data with Dataddo while keeping usernames, passwords, and other information private. 1. On the **Authorizers** page, click on [Authorize New Service](https://app.dataddo.com/service/new) and select your service. 2. Follow the on-screen prompts to grant Dataddo the necessary permissions to **access and retrieve** your data. 3. **[Optional]** Once your ***authorizer*** is created, click on it to **change the label** for easier identification. Ensure that the account you're granting access to holds at least **admin-level permissions**. If necessary, assign a team member with the required permissions with the [authorizer role](https://docs.dataddo.com/docs/user-roles#authorizer) to authenticate the service for you. For more information, see our article on [***authorizers***](https://docs.dataddo.com/docs/authorized-services). ## Connect a New Google Drive Destination 1. On the **Destinations** page, click on the [**Create Destination**](https://app.dataddo.com/destinations) button and select the destination from the list. 2. Select your ***authorizer*** from the drop-down menu. 3. For non-business accounts, provide your **Google Drive ID**. For guide on how to retriveve your Drive ID, see [Non-Business Account: Drive ID](/docs/google-drive#nonbusiness-account-drive-id). 4. [Optional] **Path**: Select your directory, folder on input the name manually, e.g. `/Documents/`. 5. Name your ***destination*** and click on **Save**. :::(Info) (Need to authorize another connection?) Click on **Add new Account** in drop-down menu during ***authorizer*** selection and follow the on-screen prompts. You can also go to the **Authorizers** tab and click on [**Add New Service**](https://app.dataddo.com/service/new). ::: ## Non-Business Account: Drive ID Unless you have a **Business account**, you will need to provide your **Drive ID** when creating your destination. ### Use Google API Explorer One of the methods to retrieve the Drive ID without writing code is by using the Google API Explorer. **To obtain your Google Drive ID**: 1. Navigate to the [`files.get` page of the Drive API section](https://developers.google.com/workspace/drive/api/reference/rest/v3/files/get?apix_params=%7B%22fileId%22%3A%22root%22%7D) available on Google Workspace. 2. On the right, you will find the **Page info** section. Here, click **Try it!** 3. The link will have prefilled necessary fields but make sure: 1. **fileId** has `root` filled in. 2. **Google OAuth 2.0 permission scopes** have at least the `.../auth/drive` scope selected. 4. Click **Execute** and select your Google account to authorize the request. 5. From the response, copy the `id` value. The response will look something like: ```json { "kind": "drive#file", "id": "a1b2c3d4f5g6h7", "name": "My Drive", //etc. } ``` **If the link above doesn't work**: 1. Navigate to [Google Workspace](https://developers.google.com/workspace). 2. In the **Google Workspace apps** list in the left menu, click **Google Drive**. 3. Scroll down to the **Connect your service to Google Drive**, find the **Drive API** card and click **Try it out**. 4. In the left menu, click on `get`. 5. On the right, you will find the **Page info** section. Here, click **Try it!** 3. Fill in the following fields: 1. **fileId**: `root` 2. **Google OAuth 2.0 permission scopes**: At least the `.../auth/drive` scope is selected. 4. Click **Execute** and select your Google account. 5. From the response, copy the `id` value. Example response will be the same as above. ### Use the Drive API Alternatively, you can send a `GET` request to the Google Drive API's `files.get` endpoint, setting the file identifier to the root alias: ``` GET [https://www.googleapis.com/drive/v3/files/root](https://www.googleapis.com/drive/v3/files/root) ``` :::(Info) (**DATADDO TIP**) Ensure the request is authorized with a valid access token and the necessary **Drive** scope (e.g., `https://www.googleapis.com/auth/drive`). ::: Similarly to the example response above, the `id` will be in the JSON response body. ## Create a Flow to Google Drive *** ## Related Articles * [Data Backfilling to Storages](https://docs.dataddo.com/docs/data-backfilling-to-storages) * [Write Modes](https://docs.dataddo.com/docs/data-storages#write-modes) * [Implementation of Batch Ingestion to Data Warehouses](https://docs.dataddo.com/docs/ingestion-to-data-warehouses) * [Network Access Control List \(ACL\) Configuration](https://docs.dataddo.com/docs/network-acl) * [SSH Tunnelling](https://docs.dataddo.com/docs/ssh-tunnelling) * [Data Transformations](https://docs.dataddo.com/docs/data-transformations) * [Data Quality Firewall](https://docs.dataddo.com/docs/data-quality-firewall) ## Supported File Formats As a source, the connector reads one file per data source, in any of these formats: | Format | Notes | | --- | --- | | CSV | Set the **CSV Delimiter**, whether the file has a **Header** row, an optional **Comment** character (lines starting with it are skipped), and **Lazy Quotes** for files with imperfect quoting. | | JSON | An array of objects, one object per row. | | XML | Repeated elements become rows. | | XLSX | Select the **Sheet** to read, an optional cell **Range**, and whether the sheet has a header row. | | Parquet | Columnar files exported from data platforms. | Files can be plain or **GZIP**-compressed; set **File compression** accordingly. ## Selecting the File When you create the source, point it at the file: - **Drive** - the Google Drive to read from (see the Drive ID guide above for non-business accounts). - **Path** - the directory that holds the file. - **File name** - the name of the file to read. The path and file name support **dynamic date placeholders**, so one source can follow files that are named by date. `{{today}}` and `{{yesterday}}` are replaced at run time; add a date format after `|` (the default is `Ymd`): | File name mask | Resolves to | | --- | --- | | `report_{{today}}.csv` | `report_` followed by the current date, e.g. `report_20260709.csv` | | `export_{{yesterday\|Y-m-d}}.csv` | `export_` followed by yesterday's date, e.g. `export_2026-07-08.csv` | ## How Data Extraction Works There is no date range for this connector. Every run downloads the file at the configured location (after resolving the date placeholders) and extracts its full current content. The two most common setups: - **One file that is updated in place**: schedule the source as often as the file changes and use the **replace** write mode in the flow, so the destination table mirrors the file. - **A new date-stamped file every day**: use a `{{yesterday}}` mask in the file name, schedule the source daily, and use the **append** write mode. Each run adds one day's file, which builds the history over time. ## Transformation Before the data reaches your destination, an **initial transformation** turns the parsed file into rows. Dataddo pre-fills it based on the selected file format and header settings. You can edit it in the **Transformation** editor when creating the source, for example to rename fields, unwind nested arrays, or drop columns. ## How to Create a Google Drive Data Source 1. In Dataddo, open **Sources** and click **Create Source**. 2. Select **Google Drive** and choose the **Authorizer** you created above. 3. Fill in the drive, path, and file name, using date placeholders if the file is named by date. 4. Select the **File Format** and its options (delimiter and header for CSV, sheet and range for XLSX), and the **File compression** if the file is gzipped. 5. (Optional) Adjust the pre-filled **Transformation**. 6. Click **Test Data** to preview the result, then click **Save**. ## Troubleshooting ### Data Preview Unavailable No data preview when you click on **Test Data** might be caused by an issue with your ***source*** configuration. The most common causes are: * **Date range**: Try a smaller date range. You can load the rest of your data afterward via [manual data load](https://docs.dataddo.com/docs/data-backfilling). * **Insufficient permissions**: Please make sure your authorized account has at least admin-level permissions. ## Related Articles Now that you have successfully created a ***data source***, see how you can connect your data to a dashboarding app or a data storage. **Sending Data to Dashboarding Apps** * [Simple Data Integration to Dashboards](https://docs.dataddo.com/docs/simple-data-integration-to-dashboards) * [Data Backfilling to Dashboarding Apps](https://docs.dataddo.com/docs/data-backfilling-to-dashboarding-apps) **Sending Data to Data Storages** * [Batch Ingestion to Data Warehouses](https://docs.dataddo.com/docs/ingestion-to-data-warehouses) * [Data Backfilling to Storages](https://docs.dataddo.com/docs/data-backfilling-to-storages) **Other Resources** * [Troubleshooting](https://docs.dataddo.com/docs/troubleshooting) * [Extraction Logs](https://docs.dataddo.com/docs/extraction-logs) * [Data Duplication](https://docs.dataddo.com/docs/data-duplication)