Authenticate using the locations tasks readonly scope. Choose OAuth2 or API key and store credentials securely in Databricks Secrets to keep tokens fresh.
Ensure your Databricks workspace has a connected app and authenticates calls to the Tasks API with proper credentials and scopes.
POST /locations/:locationId/tasks/search
Trigger when a location task search yields results to initiate a Databricks notebook run or data pull.
Actions fetch tasks, map to Databricks schema, and write to Delta Lake or a table.
POST /locations/:locationId/tasks/search
Required: locationId, query filters, pagination, and access token
Trigger when a defined schedule pulls tasks into Databricks.
Actions map results to Databricks tables and store in Delta Lake
Not defined in this page
Fields: locationId, sort, pageSize, token
Trigger real time events from Databricks to GHL as tasks change
Actions push updates back to the Tasks API or reflect in Databricks dashboards
N A
Fields: locationId, taskId, status
Automate data pulls to Databricks without writing code and reduce manual data integration time.
Create repeatable workflows and dashboards by linking task data with Databricks notebooks.
Achieve faster insights through scheduled and event driven data syncs.
Key elements include API endpoints, authentication, triggers, actions, and data mapping between GHL and Databricks.
Application Programming Interface that enables Databricks to communicate with the Tasks API through defined endpoints.
A specific URL in the GHL API that performs a function such as searching tasks for a location.
The process of proving identity and permissions to access the Tasks API or Databricks resources.
A mechanism to push or pull data events between GHL and Databricks in real time.
Query tasks and join with other data in Databricks notebooks to visualize in dashboards.
Automatically move completed tasks to an archive table in Delta Lake.
Trigger Databricks jobs when new tasks meet criteria and push results back to GHL.
Create secure credentials and tokens with the required scope locations tasks readonly.
Configure the endpoint paths and map response fields to Databricks tables.
Run tests, validate data freshness, and deploy the integration.
The Tasks API connection requires the scope locations tasks readonly to readonly access the task data you need. Use OAuth2 or an API key and securely store credentials. This ensures that only authorized components can query task data. Regularly rotate tokens and monitor access using Databricks secrets. In practice, you will configure a service that requests this scope and passes the token with each request.
Yes you can choose between real time webhooks and scheduled pulls. Real time is built by triggering events on task changes, while scheduled sync polls at defined intervals. Align with your data freshness needs and Databricks capacity.
No extensive coding is required. Use the no code connectors and mapping interfaces to configure endpoints, fields, and flows. For advanced use cases you can add small scripts in Databricks notebooks.
The primary endpoint is POST /locations/:locationId/tasks/search which retrieves tasks for a given location. Additional endpoints may be used for pagination or filtering depending on configuration.
Authentication is done via OAuth2 or API keys. Store credentials securely in Databricks Secrets and include the token with each API call to GHL.
You can pull task fields such as id, status, due date, and assigned user. You can map these into Databricks tables for analytics and reporting.
Logs and activity can be found in Databricks job run histories and in your GHL integration logs. Enable verbose logging to diagnose issues and monitor data freshness.
Due to high volume, we will be upgrading our server soon!
Complete Operations Catalog - 126 Actions & Triggers
