Authenticate requests to GHL using your API key with the Users scope. Keep credentials secure and grant only the necessary permissions.
Authenticate to Iterable using an API key or OAuth token. Use the least-privilege scope needed to read tags and post statistics.
– GET /social-media-posting/:locationId/tags; – POST /social-media-posting/:locationId/tags/details; – socialplanner/statistics.readonly; – POST /social-media-posting/statistics; (Additional endpoints are available beyond these four.)
When a GHL tag is created or updated, pull the change into Iterable to refresh audiences and campaigns.
Actions include fetching tags, pulling details, and updating Iterable segments to reflect the latest tag state.
GET /social-media-posting/:locationId/tags
locationId, tagId, tagName
Trigger when new statistics are generated in Iterable and need to be surfaced in GHL.
Actions: POST /social-media-posting/statistics with metric data.
POST /social-media-posting/statistics
locationId, metrics
Trigger when a user engagement event occurs in Iterable to mirror in GHL.
Actions: post engagement data to the corresponding endpoint to trigger campaigns in GHL.
POST /social-media-posting/:locationId/tags/details
locationId, engagementId, engagementMetrics
Automate complex data flows without writing code using drag-and-drop connectors.
Achieve near real-time data synchronization between systems for timely campaigns.
Centralized data mapping and error handling in a single workflow.
This section defines the core elements and processes used to connect the GHL Users API with Iterable, including authentication, endpoints, triggers, actions, and data field mappings.
A specific URL and HTTP method that enables a defined operation in an API.
The process of verifying identity and authorizing access to API resources.
An HTTP callback that delivers real-time data when a defined event occurs.
Aligning fields between systems to ensure correct data transfer.
Automatically segment Iterable audiences based on tags from GHL and refresh campaigns.
Feed GHL statistics into Iterable for real-time dashboards and reporting.
Trigger Iterable campaigns when key engagement events occur in GHL via the connector.
Obtain API keys for GHL and Iterable and configure access permissions.
Define which endpoints to call and map fields between systems.
Test data flows, monitor logs, and deploy to production.
The GHL Users API provides programmatic access to user data, tags, and statistics that you can leverage to automate marketing workflows in Iterable. This integration focuses on using those endpoints to enrich Iterable audiences and trigger campaigns. By connecting Iterable to GHL via the Zapier App Connector, you can pull tag details, fetch statistics, and push updates without writing code, keeping data synchronized across platforms.
To authenticate, generate and securely store API keys for both GHL and Iterable and configure them in the connector. Use the Users scope for GHL and the required permission scope for Iterable. Always follow least-privilege guidance and rotate credentials regularly. Use OAuth where available and restrict access to only the necessary endpoints.
The core endpoints shown include tag listing, tag details, and statistics posting. These enable reading tag data, posting tag updates, and pushing statistics to support analytics and campaigns. Depending on your GHL plan, additional endpoints may be accessible; check the connector’s endpoint list for the full spectrum.
Data mapping ensures fields between GHL and Iterable line up correctly, so you don’t lose important context. Map fields like locationId, tagName, tagId, metrics, and engagement data to corresponding fields in Iterable for accurate segmentation and reporting.
If a call fails, verify credentials, scopes, and endpoint paths. Review error codes and messages, enable logs, and retry with backoff. Check rate limits and network connectivity, then correct any misconfigurations before re-running the flow.
Yes. Triggers, actions, and mappings are configurable in the Zapier App Connector. You can tailor which events fire and what data is sent. For complex workflows, you can chain steps, apply filters, and create reusable components within the integration.
Monitor data flow through the connector’s task history, logs, and dashboards. Use retries and alerting to stay informed about failures, and consult detailed logs to troubleshoot data mismatches or endpoint errors.
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Complete Operations Catalog - 126 Actions & Triggers
