How to connect Azure OpenAI to Blogs API

Connecting Blogs API with Azure OpenAI for automated content workflows

How to connect Blogs API with Azure OpenAI

This guide explains how to connect the Blogs API (GHL) with Azure OpenAI to enable idea generation, drafting, editing, and publishing blog content. You’ll learn about authentication, endpoint usage, and practical workflows that leverage endpoints like POST /blogs/posts, GET /blogs/posts/url-slug-exists, and related resources.

Authentication for Blogs API

To access the Blogs API from Azure OpenAI, create API credentials in the Blogs API, then securely store and reference them in Azure (for example via Azure Key Vault). Use the credentials to authorize requests to endpoints such as POST /blogs/posts and GET /blogs/posts/url-slug-exists.

Authentication for Azure OpenAI

Azure OpenAI authenticates to external services with API keys or managed identities. When connecting to the Blogs API, supply the Blog API key in the Authorization header and ensure the connected app has the proper scopes.

Key endpoints used in this integration

Highlights include: POST /blogs/posts to create drafts; GET /blogs/posts to fetch posts; PUT /blogs/posts/:postId to update; GET /blogs/posts/url-slug-exists to validate slugs; GET /blogs/categories and GET /blogs/authors for metadata; and related read/write endpoints under blogs and emails for supporting content automation.

Top 3 connection patterns between Blogs API and Azure OpenAI

1) Real-time drafting with on-demand content

Trigger: Azure OpenAI prompts request a draft and you return a post draft via POST /blogs/posts.

Actions: Retrieve the draft content, apply formatting, add SEO metadata, and return a ready-to-publish draft to Azure OpenAI.

POST /blogs/posts

Key fields: title, content, slug, summary, keywords

Top 3 connection patterns between Blogs API and Azure OpenAI

2) Schedule-driven publishing

Trigger: A time-based or event-based schedule initiates publication.

Actions: Create or update posts via POST /blogs/posts or PUT /blogs/posts/:postId, then trigger scheduling via your Azure workflow.

POST /blogs/posts and PUT /blogs/posts/:postId

Fields: title, content, slug, status, publishDate

Top 3 connection patterns between Blogs API and Azure OpenAI

3) SEO-first content updates and checks

Trigger: An update cue from Azure OpenAI suggests improving SEO or updating content.

Actions: Use GET /blogs/posts/url-slug-exists to verify slugs, then PUT /blogs/posts/:postId or POST /blogs/posts to refresh content and SEO metadata.

GET /blogs/posts/url-slug-exists and PUT /blogs/posts/:postId

Fields: postId, slug, seoTitle, seoDescription, lastEdited

No-code benefits of connecting Blogs API with Azure OpenAI

No-code workflow automation enables non-developers to build and adjust publishing pipelines quickly.

Fast AI-driven content generation and SEO optimization without writing custom code.

Centralized credential management and secure integrations with Azure services.

Key terms and glossary

Glossary of terms used in this guide, including API endpoints, authentication, triggers, and slug checks.

API endpoint

A specific URL and HTTP method used to perform an action or retrieve data from GHL’s API.

Blog post

A post object within the Blogs API representing an article, draft, or published entry.

Slug

A URL-friendly identifier derived from the post title used in the URL.

Authentication

The method used to prove identity and authorize API requests, such as API keys or OAuth tokens.

People also Search for:

Creative ideas for integrating Blogs API with Azure OpenAI

Idea 1: Auto-generated blog outlines

Let Azure OpenAI propose topics and subheads, then fetch draft outlines from Blogs API for quick expansion.

Idea 2: SEO-optimized drafts

Pair keyword prompts with slug checks to produce SEO-friendly headlines and meta descriptions.

Idea 3: Publishing workflow automation

Automate the entire publish cycle by drafting, validating, and scheduling posts via endpoints.

3 steps to connect Blogs API with Azure OpenAI

Step 1: Set up authentication

Create API credentials in the Blogs API and configure your Azure OpenAI environment to securely reference them (e.g., via Azure Key Vault).

Step 2: Map endpoints to prompts

Identify the endpoints you will use (for example POST /blogs/posts, GET /blogs/posts/url-slug-exists) and wire prompts to these actions.

Step 3: Build and test workflows

Test in a staging environment, verify response formats, and iterate prompts for quality and reliability.

Frequently asked questions

Can I connect multiple GHL APIs to Azure OpenAI?

Yes — you can connect multiple GHL APIs to Azure OpenAI by using separate API keys and scopes for each integration, keeping data isolated and secure. In practice, create distinct OAuth apps or API keys per API and manage them with Azure Key Vault, then reference them in your prompts to direct actions to the correct endpoint.

No heavy coding is required for basic setups if you use no-code connectors and built-in endpoints. For advanced workflows, you may write lightweight scripts or use Azure Functions to handle data transformations and routing.

Essential endpoints include POST /blogs/posts to create drafts and PUT /blogs/posts/:postId to update; GET /blogs/posts/url-slug-exists to ensure slug uniqueness; GET /blogs/categories and GET /blogs/authors for metadata. You can also fetch posts with GET /blogs/posts to review content before publishing.

Slug checks prevent duplicates by validating the slug against existing posts. Run a slugExists check before create or update to avoid conflicts and preserve clean URLs.

Yes — you can automate scheduling by triggering publish actions at defined times using Azure automation and the Blogs API endpoints. Pair with a workflow tool (like Logic Apps) to orchestrate timing and retries.

Supported methods include API keys and OAuth tokens; choose the approach that best fits your security model. Store credentials securely and rotate them regularly.

API credentials are generated in the Blogs API admin area; you can also manage keys in your GHL account. For secure deployments, connect to Azure Key Vault to retrieve credentials at runtime.

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