To authorize the GHL Contacts API with Bland AI, obtain API credentials or OAuth tokens and grant the requested scope: contacts.readonly.
In Bland AI, connect to your GHL account by selecting the Contacts API integration, then paste or authorize credentials and select the required scope to enable data flow.
Endpoints used: – GET /contacts/:contactId – GET /contacts/:contactId/tasks – GET /contacts/:contactId/tasks/:taskId – GET /contacts/:contactId/notes – GET /contacts/:contactId/notes/:id – GET /contacts/:contactId/appointments – GET /contacts/ – GET /contacts/business/:businessId – contacts.write – POST /contacts/ – PUT /contacts/:contactId – DELETE /contacts/:contactId – POST /contacts/:contactId/tasks – PUT /contacts/:contactId/tasks/:taskId – PUT /contacts/:contactId/tasks/:taskId/completed – DELETE /contacts/:contactId/tasks/:taskId – POST /contacts/:contactId/tags
Trigger: A contact is created or updated in Bland AI, initiating a sync to GHL
Actions: Create or update the corresponding contact in GHL with mapped fields.
GET /contacts/:contactId
Key fields: id, email, firstName, lastName, phone, businessId
Trigger: A task is created or updated in Bland AI
Actions: Create or update a task in GHL for the related contact
POST /contacts/:contactId/tasks
Fields: taskId, title, dueDate, status
Trigger: A new note is added in Bland AI or a note is updated
Actions: Create or update a note in GHL linked to the contact
GET /contacts/:contactId/notes
Fields: noteId, id, content, timestamp
No-code integration reduces development time and enables non-technical teams to automate workflows.
Bi-directional data sync ensures up-to-date contact records across Bland AI and GHL.
Reusable templates and triggers speed up campaign creation.
This glossary covers endpoints, triggers, actions, fields, and flows used to connect Bland AI with the GHL Contacts API.
A specific URL and HTTP method exposed by the GHL Contacts API to perform an action.
Process of securely proving identity and granting access to GHL resources via OAuth or API keys.
A callback mechanism that pushes events from GHL to Bland AI in real time.
Authorization framework that issues tokens with scopes like contacts.readonly for access control.
Pull and enrich contact records with notes, tasks, and appointment history from Bland AI.
Automatically create follow-up tasks in GHL based on Bland AI activity and contact behavior.
Trigger reminders, calendar invites, and notes when appointments are scheduled or changed.
Obtain API credentials and set scopes in GHL, then authorize Bland AI.
Map essential contact fields like email, name, phone, and businessId between Bland AI and GHL.
Run test flows, validate data integrity, and monitor runs before going live.
The GHL Contacts API is a RESTful interface that lets you read, create, update, and delete contact records, notes, tasks, and appointments in your GHL account. It enables programmatic access to your CRM data for automation and integration with other tools. It requires proper authentication (OAuth or API keys) and supports multiple endpoints to cover core CRM objects like contacts, tasks, notes, and appointments.
To authorize the integration, start in GHL to create an OAuth app or generate an API key, then provide Bland AI with the credentials and grant the requested scopes such as contacts.readonly. If scopes or tokens change, re-authorization may be required to maintain access.
The endpoints listed cover contacts and related resources used by Bland AI for syncing. Not every endpoint is needed for every page, but having access to read contacts, tasks, notes, and appointments is common for most workflows. Refer to the Endpoint List section for a complete catalog and examples.
Yes. Field mapping lets you align core contact fields (email, name, phone) and related data between Bland AI and GHL. Use Bland AI’s mapping UI to configure and test mappings before going live.
Scopes determine what the integration can access. For most read needs, use contacts.readonly; for creating or updating data, you may require broader scopes such as contacts.write where supported by the API. Always grant the minimal permissions necessary to reduce risk.
Start with a test or sandbox flow to validate data transfers. Check logs in Bland AI and GHL, verify field mappings, and monitor for errors or mismatches. Once testing passes, deploy to your live environment and continue monitoring.
Error details appear in both Bland AI and GHL logs and dashboards. Enable webhooks where supported, review API quotas, and consult the integration docs or support if issues persist. Re-run the connection and inspect recent activity to isolate root causes.
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Complete Operations Catalog - 126 Actions & Triggers