Block 1 - Structured Output Parser
- Type / Role
- @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
- Config choices
- Version 1.3
Overview This workflow automatically creates and publishes AI generated recipe infographics using n8n and AI agents. By entering a single dish name, the system researches the recipe, generates stru...
@n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.formtrigger, n8n-nodes-base.perplexitytool, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.httprequest, n8n-nodes-base.switch, n8n-nodes-base.set
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by giangxai.
Original n8n.io sourceThis workflow automatically creates and publishes AI-generated recipe infographics using n8n and AI agents.
By entering a single dish name, the system researches the recipe, generates structured cooking content, designs a visual infographic using Nanobanana Pro, uploads the image to Blotato’s media server, and publishes the post to Facebook using Blotato as the posting service.
The workflow is designed for food content creators, social media managers, and automation builders who want to consistently produce and publish high-quality recipe infographics without manual research, design, or posting.
This workflow reduces manual work while keeping recipe content production structured, scalable, and repeatable.
The workflow starts with a simple input form where the user submits a dish name. This dish name is used as the single source of truth for the entire automation.
An AI research agent analyzes the dish and generates structured recipe data, including ingredients, preparation steps, and cooking time. This data is normalized so it can be reused reliably in later steps.
Next, an AI agent generates a concise, social-friendly caption optimized for food content and Facebook engagement. In parallel, another AI agent converts the structured recipe data into a detailed infographic prompt.
This prompt is sent to Nanobanana Pro to generate a complete recipe infographic image. The workflow waits for the rendering process to finish and checks the generation status to ensure only completed images continue.
Once the infographic is ready, the image is uploaded to Blotato’s media server. Finally, the workflow calls Blotato’s posting API to publish the post to Facebook using the Facebook account already connected inside Blotato.
Once configured, the workflow runs end to end with no manual intervention beyond entering a dish name.
For a full walkthrough, prompt optimization tips, and scaling strategies for food content automation, watch the detailed tutorial on YouTube.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Create and publish AI recipe infographics with Gemini, Nanobanana Pro and Blotato |
|---|---|
| Complexity | advanced |
| Nodes | 24 |
| Categories | Content Creation, Multimodal AI |
| Author | giangxai |
| Published | 02 Feb 2026 |
Use the JSON export at /data/workflows/13168/13168.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Overview This workflow automatically creates and publishes AI generated recipe infographics using n8n and AI agents. By entering a single dish name, the system researches the recipe, generates stru...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.