Paper Banana API Search Scientific Illustration Prompts (n8n)

Search Paper Banana’s scientific illustration prompts in seconds—automatically—inside n8n

The Paper Banana API Search Scientific Illustration Prompts (n8n) workflow uses the Paper Banana public API to fetch curated research illustration prompts by category and optional keyword, then outputs one structured n8n item per prompt for easy reuse in your downstream automation.

What this workflow does

• Starts when you click “Test workflow” in n8n (manual run).
• Lets you configure search inputs: choose a category (e.g., all, biomedicine, model-explainers, data-visualization, agent-systems) and optionally set a keyword query in q.
• Calls the Paper Banana public API endpoint for research prompts using those query parameters.
• Splits the API response so that each returned prompt becomes its own item.
• Normalizes each prompt into a consistent record including `title`, `prompt text`, an image URL, any available citation, and links back to Paper Banana.

Use cases

• Build a prompt library: run the workflow, then store the resulting items in tools like Notion or Google Sheets for later reuse.
• Content ideation for technical teams: pull category-specific scientific illustration prompts for research summaries and documentation.
• Batch prompt pipelines: combine the output items with your own n8n steps for templating, review, or export.

Technical details

• No credentials required: the workflow uses Paper Banana’s public API.
• Nodes used: Manual/Trigger (Test workflow), Set, HTTP Request, Split Out, plus a Sticky Note for configuration guidance.
• Designed for n8n automation workflow use: clean item-per-prompt output suitable for downstream automations.

Result: reliable, structured scientific illustration prompts powered by Paper Banana—ready for your n8n workflows.