To authorize access to the GHL Contacts API, configure OAuth 2.0 credentials with the scope ‘contacts.readonly’. Use these credentials when calling endpoints such as GET /contacts/:contactId and GET /contacts/:contactId/tasks.
In the BigMarker integration, connect your GHL credentials by completing the OAuth flow on the app dashboard. This grants read-only access to contact data and related resources.
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; 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: when a contact is created or updated in GHL, the integration fetches the latest data and updates the corresponding record in BigMarker.
Actions: read contact details and related tasks via GET calls, then push updates to BigMarker to keep information current.
Example methods: GET /contacts/:contactId and GET /contacts/:contactId/tasks to assemble a complete view.
Key fields: contactId, taskId, businessId, id, email, name
Trigger: nightly batch job or on-demand sync to pull all contacts and their notes.
Actions: GET /contacts/ and GET /contacts/:contactId/notes to aggregate data into BigMarker.
Paths: GET /contacts/; GET /contacts/:contactId/notes
Fields: contactId, noteId, businessId, name
Trigger: when tasks are created or updated in GHL, reflect changes in BigMarker and update tags as needed.
Actions: POST /contacts/:contactId/tasks; PUT /contacts/:contactId/tasks/:taskId; POST /contacts/:contactId/tags
Paths: POST /contacts/:contactId/tasks; PUT /contacts/:contactId/tasks/:taskId; POST /contacts/:contactId/tags
Fields: contactId, taskId, tagId, status
No-code integration lets teams connect GHL with BigMarker without writing code.
Centralized data flow reduces duplication and improves reporting across platforms.
Automation and workflows can be set up with triggers and actions, speeding up engagement.
This glossary defines common terms used in this guide, including GHL, API endpoints, OAuth, scopes, and resources.
GHL is the platform that provides the Contacts API and the BigMarker connector for this integration.
An API is a set of endpoints that allow applications to read, create, update, or delete data.
OAuth 2.0 is the authorization framework used to grant access to GHL data.
Scope defines the level of access granted to the integration, such as read-only or read-write.
Stream new leads into BigMarker events and follow-up messages as soon as they appear in GHL, enabling timely engagement.
Link task progress in GHL to automated webinar invites and reminder messages in BigMarker.
Use contact segments to tailor invitations and messaging in BigMarker based on GHL data.
Obtain your GHL API credentials (client_id and client_secret) and configure your APPNAME integration to use them with the required scope (contacts.readonly).
Map the endpoints you need in GHL to corresponding actions in BigMarker and set up the OAuth flow.
Test with sample contacts, verify tasks and notes are syncing, then deploy to production.
The GHL Contacts API exposes endpoints to read contact data, tasks, notes, and more, allowing you to surface this information inside BigMarker. Start by authenticating your application with the required scope (contacts.readonly). Once authenticated, you can call the endpoints listed to fetch records and use the data to drive BigMarker events and messaging. This enables real-time visibility into contact activity across platforms.
Yes. Many endpoints support read access, including listing contacts, retrieving a single contact, and pulling related resources like tasks and notes. Use GET /contacts to list and GET /contacts/:contactId to fetch details, then combine data in BigMarker for richer engagement. For bulk reads, consider scheduled or batched pulls to optimize performance.
No heavy coding is required if you use a no-code connector or automation platform to map triggers and actions. If you build directly, you will implement OAuth, make HTTP requests to the endpoints, and parse responses. The result is a king-sized improvement in data flow with minimal coding effort.
Required permissions include at minimum the contacts.readonly scope. If you need to modify data, write permissions or additional scopes are needed. Always follow the principle of least privilege and rotate credentials regularly.
Test the connection with sandbox or test data first. Verify authentication succeeds, endpoints respond with expected data, and that the data maps correctly to BigMarker fields. Use logs to trace requests and responses during testing.
Handle errors with robust retry logic, including exponential backoff and respecting API rate limits. Capture and analyze 4xx and 5xx responses, and implement retries for transient issues while alerting on persistent failures.
Yes. You can automate workflows so that tasks, notes, and tagged contacts in GHL trigger corresponding actions in BigMarker, enabling seamless engagement and follow-ups without manual steps.
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