Secure your connection to the Blogs API with API keys or OAuth tokens provided by your GHL integration. Store credentials safely and rotate them regularly to maintain security.
Establish trusted credentials for Databricks to access the Blogs API, using service principals or OAuth where supported, and apply least-privilege access controls.
Core endpoints used in this integration include: POST /blogs/posts to create posts, PUT /blogs/posts/:postId to update posts, GET /blogs/posts/url-slug-exists to check slug availability, GET /blogs/categories and GET /blogs/authors for metadata, and GET blogs/check-slug.readonly for slug validation. These endpoints enable creation, updates, and retrieval of blog data directly from Databricks workflows.
Trigger: when a new dataset or data event is detected in Databricks, automatically create a blog post draft in Blogs API.
Actions: use POST /blogs/posts to create the draft, populate title, content, author, and category, then optionally update during review.
POST /blogs/posts
Required fields: title, slug, content, authorId, categoryId
Trigger: dataset changes in Databricks update blog metadata such as lastUpdated, tags, or status.
Actions: update via PUT /blogs/posts/:postId with mapped fields.
PUT /blogs/posts/:postId
Fields: postId, title, slug, tags, status
Trigger: finalized notebook results or data quality checks signal ready-to-publish content.
Actions: publish via POST /blogs/posts and set status to published, optionally notify subscribers.
POST /blogs/posts
Fields: postId, slug, status, publishedDate
Automate repetitive publishing tasks without writing code and keep content in sync with your data.
Turn data insights from Databricks into ready-to-publish blog content quickly and consistently.
Centralize publishing workflows to reduce errors and improve cadence across channels.
Definitions for endpoints, triggers, actions, and data fields used in the Blogs API and Databricks integration with GHL.
A specific URL and HTTP method used to perform an operation with the Blogs API.
An event in Databricks that starts an automation workflow with the Blogs API.
An operation carried out by the integration on the target system (e.g., create or update a blog post).
A URL-friendly string derived from the blog title used in the post URL.
Automatically generate blog outlines and intros from Databricks notebooks and datasets.
Create regular drafts based on data changes and queue for editorial review.
Publish to Blogs API and notify channels like newsletters or email campaigns.
Set up OAuth2 or API keys for the Blogs API and a Databricks service account.
Map Databricks events (e.g., dataset changes) to blog actions (create/update/publish).
Connect POST /blogs/posts and PUT /blogs/posts/:postId to your workflows.
You will typically need a Blogs API API key or OAuth token and a Databricks service account with the appropriate scopes. Store credentials securely using a secret manager and rotate keys on a regular schedule. Start with a sandbox environment to validate permissions before going live. If your organization uses SSO, ensure the connected app is whitelisted and has the least privilege access necessary for publishing and managing posts.
Essentials to start are POST /blogs/posts to create content, GET /blogs/posts/url-slug-exists to verify slug availability, and GET /blogs/categories plus GET /blogs/authors for metadata. You can begin with a simple workflow that creates drafts and then uses PUT /blogs/posts/:postId to update as needed.
Yes. You can schedule drafts to publish automatically by using triggers from Databricks (e.g., dataset updates or notebook completions) and mapping them to the Blogs API’s publish action. Use the status field to move posts from draft to published.
Security is maintained via standard API authentication, encrypted data in transit, and principle of least privilege for service accounts. Rotate tokens regularly and monitor access logs for unusual activity.
Basic familiarity with REST APIs and a lightweight automation platform is helpful. No full-stack coding is required if you use the App Connector, but understanding endpoints and data mapping will improve reliability.
Errors are surfaced via API responses and can be retried. Implement exponential backoff, validate payload schemas, and log failed requests for troubleshooting. Use endpoint-specific error messages to adjust mappings.
API documentation for the Blogs API and Databricks integration is available in your developer portal and the App Connector docs within your GHL account. Start there for endpoint references, parameters, and example payloads.
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Complete Operations Catalog - 126 Actions & Triggers
