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Integrate Google Sheets with Martini
Integrate Google Sheets with Martini to synchronize tabular data, publish operational reports, manage business-owned reference data, and place human review steps inside broader enterprise workflows. Martini uses API-based integration with Google OAuth 2.0 or service-account credentials, while Google Drive can support spreadsheet discovery and file-level change signals.
Common Integration Patterns
Common Data Objects used in integrations
Authentication and security considerations
OAuth 2.0
Google Sheets integrations commonly use OAuth 2.0 for delegated access to user-owned spreadsheets. The authorization grant applies at the spreadsheet-file level rather than to an individual worksheet tab. Use the narrowest practical scopes, such as read-only access for extraction or drive.file when the integration only needs to work with files it creates or uses.
Service accounts
Service accounts support server-to-server integrations when the target spreadsheet or its containing Drive folder is explicitly shared with the service account email address. Google Cloud IAM roles alone do not provide access to Google Workspace files.
Domain delegation
Google Workspace administrators can configure domain-wide delegation so a service account can impersonate users, subject to administrator-approved scopes. This is appropriate for centrally managed enterprise integrations.
API keys
API keys may be suitable for certain public-data scenarios, but private spreadsheet data generally requires OAuth 2.0 or service-account credentials. Configure credentials and scopes in the Google Cloud project, then use Martini workflows to call the Sheets API and, where needed, the Drive API.
Operation considerations
File and range design
Use a known spreadsheetId and controlled tab or range for production workflows. Separate integration-owned columns and ranges from formulas or user-maintained content, and consider named ranges or developer metadata where users may insert or move rows.
Change reconciliation
Drive change notifications identify file-level changes rather than changed rows. After receiving a signal, retrieve the relevant Sheets ranges and compare them with a stored snapshot, stable business key, synchronization status, or other integration state.
Batching and quotas
Use focused values methods, bounded ranges, batch reads and writes, partitioning, retries, and backoff. Google Sheets provides synchronous batching but does not expose a separate asynchronous bulk import or export job framework.
Formula protection
Decide whether workflows require raw, user-entered, calculated, or formatted values. Avoid replacing formula columns unless that behavior is explicitly part of the integration design.
Watch renewal
Drive watch channels expire and must be renewed. Google documents maximum expiration windows of one day for files channels and one week for changes channels, with shorter defaults possible.
Why use Martini
Connect spreadsheet data to enterprise workflows
Martini places Google Sheets inside broader integration, API, and data synchronization processes. Teams can use a spreadsheet as a reporting destination, controlled intake surface, reference-data store, or human review interface while keeping transformation and downstream execution in a managed workflow.
Combine APIs and data sources
Google Sheets provides cell ranges and spreadsheet structures rather than business objects such as contacts or invoices. Martini can combine Sheets API and Drive API calls with enterprise APIs, databases, files, and other systems to create a canonical integration flow.
Apply controlled transformation
Martini can map row-oriented spreadsheet values into application or database fields, validate headers and required values, normalize types, and route invalid records for review. Custom logic can be used when spreadsheet-specific reconciliation or complex transformations are required.
Support resilient synchronization
Workflows can use bounded ranges, batch operations, stable business keys, snapshots, statuses, named ranges, or developer metadata to make synchronization more predictable. Drive-level change signals can initiate reconciliation without treating them as row-level webhooks.