Reddit Keyword Pain Points Generator (BeatAPI + Text Model) for n8n

Find Reddit keyword pain points fast—with BeatAPI + a text model in n8n

This manual n8n workflow uses BeatAPI Social Data to pull recent public Reddit posts for a keyword, then calls a BeatAPI text model to generate a cited research draft highlighting themes, questions, and potential pain points—all linked back to the original post evidence.

What this workflow does

• Manual trigger: Start the workflow whenever you need keyword research.
• Configure keyword + BeatAPI model: Set the target keyword and select a BeatAPI chat model in the input configuration step.
• Fetch recent Reddit evidence: BeatAPI Social Data searches public Reddit posts from the past week, sorted by newest, returning a preview of up to 12 results.
• Clean and validate results: The workflow keeps identifiable evidence (such as post IDs, titles, URLs, and any available text). If nothing usable is returned, it stops with an error.
• Generate a cited research draft: It sends the evidence package to the BeatAPI chat completions endpoint to produce a draft that surfaces themes, notable questions, and observations cited to post IDs or URLs.
• Return output + metadata: You receive the final research draft along with source metadata, including result counts and the BeatAPI request ID.

Use cases

• Identify Reddit keyword pain points for SaaS positioning and messaging.
• Research customer questions and objections before launching landing pages.
• Build faster content briefs using cited Reddit evidence for specific keywords.

Technical details

• BeatAPI Social Data (Reddit): HTTP request with BeatAPI authentication to fetch up to 12 recent public posts.
• BeatAPI text model (chat completions): Generates a cited draft from the cleaned evidence.
• n8n nodes: manual trigger, set, code, sticky note, and HTTP request.
• Auth setup: Create an n8n HTTP Header Auth credential using Authorization: Bearer <your BeatAPI key>.