Requests must include a valid GHL access token obtained from your developer settings. Pass it in the Authorization header as Bearer
In the Zapier app, securely store the GHL token and configure authentication to automatically supply it with each request. Use OAuth 2.0 where supported, or a token-based method available in the connector.
– GET /contacts/:contactId — Retrieve a single contact; – GET /contacts/:contactId/tasks — List tasks for a contact; – GET /contacts/:contactId/tasks/:taskId — Get a specific task; – GET /contacts/:contactId/notes — Retrieve notes for a contact; – GET /contacts/:contactId/notes/:id — Get a specific note; – GET /contacts/:contactId/appointments — List appointments for a contact; – GET /contacts/ — List contacts; – GET /contacts/business/:businessId — List contacts for a business; – contacts.write — Write permission for contact resources; – POST /contacts/ — Create a contact; – PUT /contacts/:contactId — Update a contact; – DELETE /contacts/:contactId — Delete a contact; – POST /contacts/:contactId/tasks — Create a task; – PUT /contacts/:contactId/tasks/:taskId — Update a task; – PUT /contacts/:contactId/tasks/:taskId/completed — Mark a task completed; – DELETE /contacts/:contactId/tasks/:taskId — Delete a task; – POST /contacts/:contactId/tags — Add tags to a contact
Trigger: Retrieve a specific contact by ID to drive downstream workflows.
Actions: Use the contact data to populate BigQuery records, trigger CRM reports, or start analytics pipelines.
Method Path: /contacts/:contactId
Key fields: contactId, name, email, phone, customFields, tags
Trigger: When you need the tasks for a contact to drive progress reporting.
Actions: Attach task data to BigQuery streams, join with notes and appointments for richer records.
Method Path: /contacts/:contactId/tasks
Key fields: contactId, taskId, title, status, dueDate, completed
Trigger: When tasks are updated or completed to reflect in downstream analytics.
Actions: Update task state in GHL from Zapier or remove finished tasks from the warehouse.
Method Path: /contacts/:contactId/tasks/:taskId
Key fields: contactId, taskId, status, completed
Easily pull in contact details into Google BigQuery without writing code.
Automate data workflows between GHL and your data warehouse.
Scale reporting with structured endpoints and mappings.
This section defines the core terms, data flows, and processes used to map GHL Contacts data into Zapier and Google BigQuery.
A set of endpoints and methods to programmatically access GHL data.
The process of proving identity and permissions to access GHL data.
A specific URL path in the API used to access a resource.
A way for apps to receive real-time data updates.
Stream activity data as events when a contact is updated or created in GHL.
Generate dynamic segments in BigQuery and dashboards in BI tools.
Notify teams when API calls fail or data lags.
Obtain an access token from GHL and configure it in the Zapier app.
Select endpoints (e.g., /contacts/:contactId) and set up triggers.
Create a Zap, map fields to BigQuery, and run tests.
You can pull standard contact data such as name, email, phone, and custom fields, plus related records like tasks, notes, and appointments. You can also fetch lists of contacts and business-specific subsets for reporting. This enables comprehensive analytics in BigQuery without extra coding. Additionally, you can combine related records to build richer datasets for dashboards and downstream ML workloads. Always verify response schemas and field mappings in Zapier to ensure data consistency when loading into BigQuery.
Authentication is done via a GHL access token obtained from your developer settings. Include the token in the Authorization header as Bearer
Key endpoints include reading contacts, tasks, notes, and appointments (e.g., /contacts/:contactId, /contacts/:contactId/tasks). For syncing to BigQuery, focus on read endpoints to pull data and write endpoints for creating or updating records as needed. Plan paging and filtering to handle large datasets and ensure data completeness.
Zapier can trigger updates to GHL via compatible endpoints, but write-back support depends on your app configuration. For create/update/delete operations, ensure you pass the required identifiers (contactId, taskId) and respect the API’s overwrite or upsert semantics. Always test with sample data to confirm changes propagate correctly.
No heavy coding is required. The Zapier App Connector provides a no-code interface to map GHL data to BigQuery schemas. If you need advanced transformations, you can add small code steps or use built-in formatter tools to shape data before loading.
Test your Zap in a controlled environment using sample records and a small BigQuery dataset. Validate each step from authentication to data mapping, verify field alignments, and run end-to-end checks to ensure data integrity before going live.
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Complete Operations Catalog - 126 Actions & Triggers
