Authenticate API requests using your credentials and the required scope objects/schema.readonly.
Connect securely with API tokens or OAuth supported by ActiveCollab to control permissions between systems.
Key endpoints used for syncing include GET /objects/:key, GET /objects, objects/schema.write, objects/record.readonly, GET /objects/:schemaKey/records/:id, objects/record.write, POST /objects/:schemaKey/records, PUT /objects/:schemaKey/records/:id, DELETE /objects/:schemaKey/records/:id. Additional endpoints exist (API Endpoint10-17) but are not required for this page.
Trigger: when a custom object changes in ActiveCollab or via the API, a sync is initiated.
Actions: mirror changes across systems and keep records aligned.
Method Path: use webhooks or polling to detect changes, then call the relevant endpoints to update records.
Key fields: objectKey, recordId, updatedAt
Trigger: nightly batch job to exchange data between GHL and ActiveCollab.
Actions: pull, push, and reconcile data across systems.
Method Path: fetch using read endpoints and apply updates using write endpoints.
Key fields: schemaKey, id, lastModified
Trigger: incremental changes from either system trigger sync runs.
Actions: resolve conflicts, synchronize changed records only.
Method Path: consolidate by using conditional endpoints to patch only changed fields.
Key fields: id, modifiedAt
Move faster with visual mapping and automation—no code required.
Easily map fields between ActiveCollab objects and Custom Objects to keep data consistent.
Automated data coordination reduces errors and saves time on repetitive tasks.
This section defines the elements, endpoints, and processes used to connect the Custom Objects API with ActiveCollab.
A specific URL and HTTP method used to perform an action against the API, such as GET /objects/:key.
A pattern to deliver real-time event data from one system to another when a trigger occurs.
Methods to verify identity and authorize access between systems (API keys, tokens, OAuth).
The data structure and field types used by Custom Objects in the API.
Automatically mirror milestone updates from ActiveCollab into Custom Objects records.
Create ActiveCollab tasks when new custom objects are created in GHL.
Aggregate API data into ActiveCollab dashboards for insights.
Obtain API keys and set scopes like objects/schema.readonly.
Define mappings between ActiveCollab and Custom Objects and configure endpoints.
Run tests, verify data sync, and monitor performance.
The Custom Objects API in ActiveCollab lets you read, create, update, and delete records for your custom objects, enabling you to mirror important data between systems. This makes it possible to automate workflows, trigger actions, and keep data synchronized across platforms. By using endpoints like GET /objects and POST /objects/:schemaKey/records, you can manage the lifecycle of custom objects without manual data entry.
No-code options exist through automation tools and connectors, such as Zapier App Connector, which can handle common sync scenarios. For more complex field mappings and custom logic, a bit of scripting or a developer setup may be needed to tailor the integration precisely to your needs.
Essential endpoints include GET /objects/:key, GET /objects, POST /objects/:schemaKey/records, PUT /objects/:schemaKey/records/:id, and DELETE /objects/:schemaKey/records/:id, as well as objects/schema.write for schema updates. You may inspect the schema with objects/schema.readonly to plan mappings and workflows.
Authentication typically uses API keys or OAuth tokens, with scopes limited to the required access such as objects/schema.readonly. Generate credentials in the GHL side, securely store them, and include them in request headers. Regular token refresh may be necessary for long-running connections.
Yes. You can configure upsert-like logic and conflict handling to avoid overwriting newer data. Define clear field mappings and a priority rule so updates from one system can be reconciled with the other without data loss.
Supported data types align with typical object fields: strings, numbers, booleans, dates, and reference keys. Map each type to the corresponding ActiveCollab field type and validate data formats during sync to prevent errors.
Implement retries with exponential backoff, log all failures, and alert on repeated errors. Use idempotent operations where possible and monitor API quotas to avoid throttling during peak loads.
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Complete Operations Catalog - 126 Actions & Triggers
