Use your GHL API Key with the scope locations/tasks.readonly. Include the Authorization header in every request (Example: Authorization: Bearer
Create a ThunderTix API key in your account and paste it into the connector. The integration will securely use this key to access ThunderTix data and push updates to GHL as configured.
POST /locations/:locationId/tasks/search — fetch tasks for a specific location. Other endpoints can be enabled as needed; the example endpoint demonstrates how to query tasks from ThunderTix and bring them into GHL.
Trigger: a new or updated task is created in ThunderTix, triggering a pull into GHL to keep your task list current.
Actions: call POST /locations/:locationId/tasks/search, map fields (id, title, status, dueDate, locationId) to GHL tasks, create or update records in GHL.
POST /locations/:locationId/tasks/search
id, title, status, dueDate, locationId, assignee
Trigger: updates in GHL reflect back to ThunderTix to keep both systems aligned.
Actions: push changes from GHL to ThunderTix using ThunderTix endpoints to update task status and details.
ThunderTix task update endpoint (specific path depends on ThunderTix API setup)
ghlTaskId, thunderTaskId, status, lastUpdated
Trigger: user requests an on-demand task fetch from ThunderTix within GHL.
Actions: execute a targeted search in ThunderTix (via POST /locations/:locationId/tasks/search) and display results in GHL for quick reporting.
POST /locations/:locationId/tasks/search
id, title, status, dueDate
Automate task synchronization between ThunderTix and GHL without writing a line of code.
Create reliable workflows that keep task data consistent across platforms.
Fast onboarding with templates and visual builders for teams.
Key elements include endpoints, authentication, data mapping, triggers, and actions. Processes cover connect, test, monitor, and iterate the integration for continuous alignment.
A secret token used to authenticate requests to an API.
A specific URL where an API can be accessed to perform a function.
The access level granted to an API key or token, controlling which resources can be accessed.
The maximum number of API requests allowed in a given time window.
Automatically mirror ThunderTix tasks in GHL so support agents always see current tasks without switching apps.
Push status changes from ThunderTix to GHL instantly to keep teams aligned on progress.
Generate on-demand reports in GHL by querying ThunderTix for the latest task data and presenting it in dashboards.
Obtain your GHL API key with locations/tasks.readonly scope and generate a ThunderTix API key. Keep both secure.
Enter credentials in the ThunderTix-GHL connector, map fields, and set the endpoint POST /locations/:locationId/tasks/search as the primary data fetch.
Run test searches, verify data mapping, and enable automation for live syncing.
Yes. The ThunderTix to GHL connector is designed for no-code use. You can configure it via the setup UI and connect using your API keys. This setup lets you fetch and display ThunderTix tasks inside GHL without writing code. The example endpoint demonstrates one way to pull data and validate field mappings. For more complex workflows, consider adding additional endpoints as needed.
You typically need read-only access to tasks (locations/tasks.readonly) in GHL and a valid ThunderTix API key. Ensure your keys are stored securely and rotated regularly. Limit scopes to minimize exposure and monitor access logs for unusual activity.
API keys should be kept confidential and transmitted over secure channels (HTTPS). Use the connector’s built-in secret storage and avoid embedding keys in public code. Regularly review permissions and rotate keys when necessary.
Common mappings include id, title, status, dueDate, locationId, and assignee. Depending on your ThunderTix setup, you may also map priority, notes, and lastUpdated to corresponding GHL task fields for richer insights.
Yes. You can adjust the endpoint path used for the primary search in the connector. Start with the standard POST /locations/:locationId/tasks/search and add additional endpoints as your data needs evolve. Ensure proper mapping and permissions for each endpoint.
Testing should include a dry run of data fetch, a verification of field mappings, and a live data sync test in a staging environment. Validate error handling, retry policies, and data integrity before enabling full automation.
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