Overview
What is Google Drive: Google Drive is the cloud storage and file management layer within Google Workspace. It stores Google Docs, Sheets, Slides, PDFs, images, CSVs, and XLSX files, and gives teams a central place to organize, share, and collaborate on project files.
The Google Drive Datagrid integration ingests files from Drive into Datagrid's AI agent workflows. Once connected, Datagrid's AI agents monitor Drive folders for new or updated files, extract structured data from supported spreadsheet files, and push results to downstream systems such as CRM, database, spreadsheet, and communication tools.
Data flows from Google Drive into Datagrid. When a spreadsheet or structured file appears in a connected Drive folder, Datagrid reads it, applies transformations or extraction, and writes the output to destination systems such as CRM platforms, databases, spreadsheets, or other connected tools.
How to integrate Google Drive with Datagrid
Use this setup when operators need spreadsheet data to move out of cloud storage and into repeatable workflows. The steps below walk through how to connect Google Drive, authenticate access, and review sync behavior before building workflows on top of the integration.
Connect Google Drive
Follow these steps to create the integration in Datagrid:
Open your Datagrid workspace and go to Settings > Connectors > Add New.
Select Google Drive from the integration list.
Click Connect to begin the Google authentication flow.
Sign in with your Google account and grant Datagrid permission to access your Drive files.
Choose whether to connect your personal My Drive, a Shared Drive, or both.
Select the specific folders or files you want Datagrid to ingest.
Confirm the connection. Setup takes approximately 45 seconds.
Authenticate access
The integration uses OAuth 2.0 authorization. Datagrid redirects you to Google's consent screen, where you authenticate with your Google account and approve the requested access scopes. For read-only ingestion, the integration requests the drive.readonly scope, allowing file reading and downloading without write access. Tokens refresh automatically, so the connection persists without repeated sign-ins.
For details on Google's OAuth 2.0 flow, see the Google OAuth 2.0 protocol documentation.
Review sync behavior
Before you build workflows on top of this integration, review the current sync model:
Supported file types: Google Sheets, XLSX, CSV
Sync direction: One-way (Google Drive → Datagrid)
Access scope: Personal Drive and Shared Drives
Automation: Datagrid automation features keep ingested files current as source data changes in Drive
Transformations: Non-destructive cleanup and transformation within Datagrid's workspace, with reusable data flows for recurring projects
Version history: Compare and analyze differences across file versions over time
Review a sample configuration
The following example shows the documented setup choices in one place. It reflects the integration behavior described above.
{
"connector": "Google Drive",
"auth": {
"method": "OAuth 2.0",
"scope": "drive.readonly"
},
"source": {
"drives": ["My Drive", "Shared Drive"],
"selection": "specific folders or files"
},
"ingestion": {
"supportedFileTypes": ["Google Sheets", "XLSX", "CSV"],
"syncDirection": "Google Drive -> Datagrid"
}
}
This gives project teams a clear implementation baseline before they map files to downstream systems.
Why use Google Drive with Datagrid
Operators running recurring workflows often store source files in shared folders before anyone acts on them. This integration turns those file drops into structured execution inside Datagrid.
Automated file ingestion: Datagrid's AI agents detect new or updated files in Drive folders and ingest them without manual uploads or scheduled exports.
Structured extraction from supported files: Datagrid's AI agents pull fields, rows, and tabular values from Google Sheets, XLSX, and CSV files and write them directly to CRM records or database tables.
Cross-source blending: Combine Google Drive spreadsheet data with records from other connected systems in a single workspace, without export and import cycles.
Spreadsheet routing: Datagrid's AI agents classify incoming spreadsheet files by data type or workflow and route each to the correct transformation flow or team queue automatically.
Reusable data flows: Build a transformation pipeline once, then apply it to every new file version or project. Datagrid preserves your logic across data refreshes.
Version tracking and comparison: Access file version history to detect changes, compare datasets over time, and audit data lineage from Drive source to destination record.
What you can build with Google Drive and Datagrid
This integration fits teams that already receive recurring spreadsheets through shared folders and need Datagrid to execute the next step. The examples below show where Datagrid's AI agents can take over repetitive ingestion, routing, and record updates.
Automated spreadsheet ingestion pipeline: A Google Sheet, XLSX file, or CSV lands in a designated Drive folder. A Datagrid AI agent detects it, extracts structured rows and fields, and writes them to a spreadsheet ledger or directly into your database. The workflow processes recurring file updates automatically and removes the bottleneck between file arrival and record creation.
Cross-platform CRM sync from Drive spreadsheets: A marketing tool exports campaign lead data as a CSV to Google Drive daily. Datagrid ingests the CSV, parses each row, standardizes field formats such as company name variations, job title inconsistencies, and phone number formats, and updates matching contact records in your CRM. The AI agent handles field mapping and deduplication, keeping CRM data clean without manual import jobs.
Spreadsheet classification and team routing: Multiple departments upload recurring spreadsheet files to a shared Drive inbox folder. Datagrid's AI agents classify each file by type, route it to the appropriate workflow or team queue, and trigger the correct transformation flow. High-confidence classifications route automatically, while low-confidence items get flagged for human review with full file context preserved.
Automated reporting from Drive-hosted spreadsheets: A Google Sheet in Drive tracks operational KPIs, updated weekly by field teams. Datagrid's AI agents read the sheet on each update, apply aggregations, cross-reference data from a connected warehouse, and generate a formatted compliance report. The output routes to stakeholders via team chat or email, so no one manually pulls numbers or builds slides.
These workflows are useful when project teams need answers and action, not another manual import step.
Resources and documentation
Use these references for setup details, API behavior, and authentication specifics:
Set up the Google Drive connector for Datagrid setup steps
Google Drive API v3 REST reference for complete endpoint specifications for Drive API resources
Google Drive API overview for API capabilities, upload/export limits, and Shared Drive support
Google OAuth 2.0 credential creation guide for API keys, OAuth 2.0, and service accounts
Google Drive API-specific scopes and auth for Drive OAuth scopes and sensitivity classifications
Google Drive push notifications guide for real-time change notifications via
changes.watch
Frequently asked questions
What file types does the Datagrid Google Drive integration support?
The integration ingests Google Sheets, XLSX, and CSV. Google-native formats like Docs and Slides use proprietary MIME types that require export conversion via the Drive API before processing.
Does the integration work with Shared Drives or only personal My Drive?
Both personal My Drive and team-owned Shared Drives are supported. Shared Drive permissions differ from personal Drive permissions.
What authentication method does the Google Drive integration use?
The integration uses OAuth 2.0. During setup, Datagrid redirects you to Google's consent screen where you sign in and approve access. For read-only ingestion, the scope is drive.readonly.
Can Datagrid write data back to Google Drive?
The integration is currently documented as an ingestion source only. Data flows from Google Drive into Datagrid, not the other direction.
How does Datagrid keep ingested Drive data up to date?
Datagrid automation features keep ingested files current as source data changes in Drive.
Similar integrations
If your team also works across adjacent Google Workspace file workflows, you may want to review related integrations:
Google Sheets: The spreadsheet application within Google Workspace for spreadsheet-based workflows.