GHL uses token based authentication. You will generate an API token with the required scopes to call endpoints
In Landbot configure the GHL API token you created as a connector and test the connection
GET /contacts/:contactId fetches a single contact; GET /contacts/:contactId/tasks lists tasks for a contact; GET /contacts/:contactId/tasks/:taskId reads a specific task; GET /contacts/:contactId/notes lists notes; GET /contacts/:contactId/notes/:id reads a note; GET /contacts/:contactId/appointments fetches appointments; GET /contacts/ lists all contacts; GET /contacts/business/:businessId fetches contacts for a business; POST /contacts/ creates a contact; PUT /contacts/:contactId updates a contact; DELETE /contacts/:contactId deletes a contact; POST /contacts/:contactId/tasks creates a task; PUT /contacts/:contactId/tasks/:taskId updates a task; PUT /contacts/:contactId/tasks/:taskId/completed marks a task completed; DELETE /contacts/:contactId/tasks/:taskId deletes a task; POST /contacts/:contactId/tags assigns tags to a contact
Trigger when a chat needs up to date contact data for personalization
Actions include fetch and map fields such as name, email and phone to Landbot variables
GET /contacts/:contactId
Key fields: contactId name email phone
Trigger when a business ID is known and you need its customers
Actions: fetch list, apply filters, export to Landbot arrays
GET /contacts/business/:businessId
Key fields: businessId contactId name
Actions: create or update tasks using task endpoints and map status and due date
POST /contacts/:contactId/tasks
Key fields: contactId taskId title dueDate status
Automate data flow between Landbot chats and GHL contacts without writing code
Reduce manual data entry and speed up response times with live data
Build scalable chat workflows with up to date GHL data
This section defines common terms and how the elements interact in an integration between Landbot and the GHL Contacts API
An application programming interface that exposes endpoints for retrieving and updating data
OAuth is a secure token based authentication standard used by many APIs
A method for real time event notifications from a service to your app
API usage limits that control request volume to prevent abuse
Capture new chats from Landbot and enrich with contact data from GHL to speed up qualification
Create or update tasks in GHL from bot interactions to maintain timely follow ups
Route contacts to different workflows by business segment using GHL data
In GHL generate an API token with read and write scopes for contacts
In Landbot add a new GHL connector using the token and set base URL
Run a test chat to verify data flow and adjust field mappings
Authentication uses a token based approach. You generate a secure API token in GHL with the required scopes and use it in Landbot to authorize requests. Keep tokens secret and rotate them periodically. In Landbot you store the token in the connector settings and test the connection to ensure access is granted. If you rotate tokens, update the Landbot connector promptly to avoid downtime.
Yes you can read and write contact data. Read operations include fetching a contact or its related resources like tasks and notes. Write operations include creating and updating contacts and tasks. Map fields between Landbot and GHL so data flows bi directionally in real time. Always respect the scope granted to your token.
No heavy coding is required. Use the Landbot GHL connector to configure endpoints and field mappings. The setup is guided by the endpoints list and the sample payloads. For advanced scenarios you can add conditional steps in Landbot to shape how data is sent and received from GHL.
Key endpoints cover contacts, tasks, notes and business scoped queries. Examples include GET /contacts/:contactId, GET /contacts/:contactId/tasks and POST /contacts/:contactId/tasks. The write endpoints allow creating and updating resources. Review the endpoints to determine which operations fit your bot flows.
Test the connection using the Landbot connector test feature and by running a simple chat flow. Verify that contact data returns correctly and that created or updated items reflect in GHL. Use mock data first to avoid impacting live records.
API usage is subject to rate limits. Plan calls to avoid bursts and use batching where possible. If you approach limits you may need to implement backoff strategies in Landbot or stagger requests.
Handle errors by inspecting HTTP status codes and error messages. Implement retries with backoff for transient errors and log failures for monitoring. Ensure your Landbot flows gracefully handle failed calls and notify operators when necessary.
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Complete Operations Catalog - 126 Actions & Triggers
