Obtain a secure API key or OAuth tokens from your GHL developer settings and grant Nutshell access to perform requested actions.
Configure Nutshell to use OAuth2 or a dedicated API token to authorize requests to the GHL API and keep data in sync.
Endpoint highlights include GET /contacts/:contactId, GET /contacts/:contactId/tasks, GET /contacts/:contactId/tasks/:taskId, GET /contacts/:contactId/notes, POST /contacts/, PUT /contacts/:contactId, GET /contacts/, GET /contacts/business/:businessId, POST /contacts/:contactId/tasks, PUT /contacts/:contactId/tasks/:taskId, DELETE /contacts/:contactId, PUT /contacts/:contactId/tasks/:taskId/completed.
Trigger: When a contact is created or updated in Nutshell, pull the latest data from GET /contacts/:contactId.
Actions: Update Nutshell fields, create or update tasks and notes to reflect changes.
Method path: GET /contacts/:contactId
Key fields: contactId, name, email, phone
Trigger: A new or updated task in Nutshell prompts a fetch of GET /contacts/:contactId/tasks.
Actions: Create/update tasks in Nutshell and reflect status and due dates in GHL.
Method path: GET /contacts/:contactId/tasks
Key fields: taskId, dueDate, status, title
Trigger: Notes and appointments created in Nutshell appear via GET /contacts/:contactId/notes and GET /contacts/:contactId/appointments.
Actions: Sync notes and appointments into GHL as linked records.
Method path: GET /contacts/:contactId/notes
Key fields: id, content, date, appointmentTime
Automate data flow between Nutshell and GHL without writing code.
Rapid setup with prebuilt endpoints and triggers to get you started in minutes.
Scalable workflows that stay in sync as your data grows.
This glossary covers API, endpoints, authentication, webhooks, triggers, and actions used when integrating Nutshell with the GHL Contacts API.
A set of rules and protocols for building and integrating software applications.
A specific URL in an API that performs a defined operation, such as retrieving a contact.
A secure framework for granting limited access to resources without sharing credentials.
A mechanism for real-time notifications when data changes.
Whenever a new lead is generated in GHL, automatically create a corresponding contact in Nutshell and link it to the Nutshell opportunity.
Keep status fields in Nutshell aligned with GHL task and deal statuses to reduce manual updates.
Automatically generate action items in Nutshell based on events from GHL.
Collect API keys or OAuth tokens from both systems and set up a secure connection.
Select endpoints and map fields between Nutshell and the Contacts API.
Run tests, set up retries, and deploy the workflow.
No coding is required to connect Nutshell with the GHL Contacts API. The integration uses REST endpoints, triggers, and actions that you can configure in a visual automation workflow. Authenticate once, then set up routines to keep data in sync across both systems. For most teams, this provides a fast path to value without custom development.
A wide range of endpoints is available to read and manage contacts, tasks, notes, appointments, and tags. Common read operations include GET /contacts/:contactId and GET /contacts/:contactId/tasks. For creating and updating data, use POST /contacts/, PUT /contacts/:contactId, POST /contacts/:contactId/tasks, and PUT /contacts/:contactId/tasks/:taskId. Deleting is supported via DELETE /contacts/:contactId.
Authenticate with an API token or OAuth credentials generated in the GHL setup, then securely store these in Nutshell. The connection uses standard OAuth2 flows or token-based authentication depending on your setup. Tokens sign requests and are refreshed per the provider’s guidelines, with error codes guiding retries.
Yes, you can map fields between Nutshell and the GHL Contacts API. Typical mappings include name, email, phone, and custom fields. You can customize mappings in the workflow settings and adjust them as your data model evolves, including applying simple transformations.
Errors are surfaced with standard HTTP status codes, plus logs and alerts. If a request fails, the system will retry with backoff and notify you if the issue persists. You can configure retry limits and fallback actions to maintain data consistency.
A dedicated sandbox is not guaranteed in every plan. You can test using a staging environment with sample data. If you need a hands-on trial, contact support to explore a proof-of-concept workflow with simulated data.
Support is available through our guides, community resources, and direct channels for premium plans. For complex scenarios, we offer best-practice templates, code samples, and personalized guidance to help you accelerate the setup.
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