Authenticate requests to the Contacts API using OAuth 2.0 or API keys. Ensure you have the correct scope (contacts.readonly) to access the data you need.
LoopSpark secures access with OAuth 2.0. Retrieve your client credentials, request the necessary scopes, and securely store access tokens for ongoing requests.
Available endpoints include: 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, LoopSpark receives a real-time update.
Actions: map core fields (name, email, phone) and sync to LoopSpark to keep records current.
Method path: pull via GET /contacts/:contactId and push via PUT /contacts/:contactId to keep data in sync.
Key fields: id and email for deduplication.
Trigger: creation or update of tasks and notes linked to a contact in GHL.
Actions: create or update tasks and notes in LoopSpark; map due dates, statuses, and content.
Method path: use POST /contacts/:contactId/tasks and GET/PUT /contacts/:contactId/notes as needed.
Key fields: taskId, noteId.
Trigger: appointment updates or business data changes.
Actions: sync appointment entries and business records to LoopSpark; map businessId and appointment times.
Method path: GET /contacts/:contactId/appointments and GET /contacts/business/:businessId for related data; POST/PUT as needed to reflect updates.
Key fields: appointmentId and businessId.
Centralized contact data across apps reduces duplicates and manual data entry.
Automated workflows cut manual work and speed up processes.
Scalable data mappings across endpoints support growing data needs.
This guide covers endpoints, triggers, actions, authentication, and data mapping used to connect the GHL Contacts API with LoopSpark.
Application Programming Interface (API) is a set of rules that allows software applications to communicate with each other.
A specific URL in an API that performs a function and returns data.
A mechanism for sending real-time data from one app to another when events occur.
An authorization framework that lets apps obtain limited access to user data without sharing passwords.
Automatically push contact changes from GHL to LoopSpark and reflect in dashboards.
Trigger task reminders in LoopSpark when contact tasks change in GHL.
Sync appointment data to LoopSpark calendars and reminders.
Gather your GHL API credentials and LoopSpark OAuth client details. Ensure the scope includes contacts.readonly.
Map the endpoints to LoopSpark actions and define field mappings for key data like name, email, and IDs.
Run tests, check logs, fix mappings, and deploy the integration with monitoring.
The Contacts API provides read-only access to contact data, tasks, notes, and appointments as defined by your API scope. You can fetch details for individual contacts and related data using the endpoints shown, depending on the permissions granted.
Yes, you can often configure workflows with no-code tools like LoopSpark. Some scenarios may require basic setup or mapping. The endpoints are designed for easy integration, letting you connect data without writing code.
We use OAuth 2.0 and API keys depending on your setup; tokens must be refreshed and stored securely. Ensure the correct scopes (like contacts.readonly) are granted for read access, and additional scopes for write operations if needed.
Read operations use GET endpoints to fetch contacts, tasks, notes, and appointments. Write operations use POST, PUT, and DELETE endpoints to create or modify data.
Test endpoints with sandbox data and small payloads to verify responses and mappings. Review error messages and logs to adjust retry logic and field mappings before going live.
Yes, a no-code flow is possible using LoopSpark’s connectors and built-in mappings. For more complex needs, you can add small code steps or custom mappings if required.
Implement retries with exponential backoff and monitor status codes to handle transient errors. Aim for idempotent operations where possible to prevent duplicates and ensure reliable retries.
Due to high volume, we will be upgrading our server soon!
Complete Operations Catalog - 126 Actions & Triggers
