Convert Markdown to Contentful Rich Text with AI Formatting

Automates converting markdown content from JSON payloads into Contentful Rich Text JSON using AI, then formats and publishes entries to Contentful.

n8n
Convert Markdown to Contentful Rich Text with AI Formatting

This n8n workflow transforms markdown-formatted article content into Contentful-compatible Rich Text JSON. It starts by receiving a JSON payload via a workflow trigger, splits the markdown into logical chunks based on headings (## delimiters), and uses an AI agent to convert each chunk into structured Contentful Rich Text format. The individual rich text nodes are then merged into a single cohesive document, wrapped with metadata according to Contentful's schema, and published via HTTP POST to the Contentful API.

Key benefits include seamless integration between markdown sources and Contentful's rich editing capabilities, eliminating manual formatting efforts and ensuring consistent, AI-enhanced output. It's ideal for content-heavy teams managing blogs, documentation, or dynamic sites, saving hours on content migration and publishing.

Use cases span content marketing, knowledge bases, and CMS automation. For healthcare providers in appointment scheduling, it can format patient guides or scheduling instructions from markdown templates into polished, interactive Contentful entries. The workflow's modular design allows easy adaptation for various content types, with robust error handling implied in its node structure.

$18.99
Last updated October 3, 2026
30-day money-back guarantee
Instant download
Lifetime updates included

New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.

Secure checkout powered by Stripe

Support

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

Related Healthcare workflows

More from Fred Garcia

Need this deployed? We'll set it up for you.

Our automation experts deploy this workflow in your stack, connect your accounts, and verify it works — or build a custom solution from scratch.