Authenticate to the Snapshots API from Zapier App Connector using your GHL credentials. Use supported methods such as OAuth 2.0 or an API key to grant read access to location data.
Configure the Zapier App Connector connection to Snapshots API with OAuth 2.0 or an API key, then test the connection to confirm saas/location.read is active.
GET /locations — fetches the current list of locations. Endpoint 2–54 are not shown here; please refer to the API docs for a complete list.
Trigger: location updated or new location created
Actions: Retrieve location, List locations, Update location
GET /locations
Location ID, Location Name, Address, Last Updated
Trigger: Scheduled pull every 24 hours
Actions: List locations, Export to BigQuery
GET /locations
Location ID, Location Name, Data Source
Trigger: Location field changes
Actions: Get location, List locations, Push to BigQuery
GET /locations
Location ID, Last Updated
Automate data transfers to Google BigQuery without writing code
Create repeatable workflows using triggers and actions
Easily share updated data with BI dashboards
Key elements include Endpoints, Triggers, Actions, and Data Fields that define how to connect Snapshots API to Zapier App Connector for Google BigQuery.
An API is a set of rules that allows apps to communicate with Snapshots API, defining endpoints, methods, authentication, and data formats.
An event in Snapshots API that starts a Zapier workflow, such as a new or updated location.
A specific URL path and HTTP method that performs an action, e.g., GET /locations.
A piece of data returned by the API, such as location name or ID.
Schedule nightly exports of location data to a BigQuery table to keep dashboards fresh.
Push updates to BigQuery whenever a location is created or updated.
Configure exponential backoff and alerting to handle API errors gracefully.
In Zapier, add a new connection to Snapshots API using OAuth 2.0 or an API key workflow.
Choose GET /locations as the trigger and map actions to write to a Google BigQuery table.
Run a test, check logs, and deploy your workflow to automate data flow into BigQuery.
The Snapshots API supports authentication via OAuth 2.0 or API keys. Start by creating a connection in Zapier App Connector using one of these methods, then authorize the application to read location data. Test the connection to confirm access. In production, rotate credentials regularly and use secure secret storage.
Use GET /locations to fetch the current list of locations. This endpoint returns IDs, names, and addresses for each location. For historical data or larger exports, paginate through results and schedule regular exports via Zapier to BigQuery.
Yes, you can export data to Google BigQuery with no code using Zapier App Connector. Create a zap that uses Snapshots API as the trigger and BigQuery as the action. Map fields to your BigQuery schema and test the workflow. Once verified, enable the zap to run automatically on a schedule or in response to events.
The location object includes fields such as ID, name, and address; additional fields may include last_updated and coordinates depending on API version. When mapping to BigQuery, align fields with your destination table schema and handle nulls appropriately.
Rate limits apply to the Snapshots API and can vary by plan. Start with documented default limits and monitor in Zapier task history. If you approach limits, implement backoff, batch requests where possible, and request quota increases if needed.
Yes, throttling may occur if you exceed limits. Implement exponential backoff and retries in your Zapier workflow. Prefer event-driven triggers over frequent polling and consider webhooks if available for near real-time updates.
If you see authentication errors, verify credentials, ensure the correct scope (saas/location.read), and reauthorize the connection if tokens have expired. Check that the app has the necessary permissions and review recent credential changes or revocations in your GHL account.
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Complete Operations Catalog - 126 Actions & Triggers
