Block 1 - Structured Output Parser2
- Type / Role
- @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
- Config choices
- Version 1.3
Reddit Lead Generation Automation (Batch Processing Version) Overview Automatically find potential customers on Reddit who are actively looking for solutions like your product. This workflow analyz...
@n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.aggregate, n8n-nodes-base.merge, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.stickynote, n8n-nodes-base.splitout, n8n-nodes-base.splitinbatches, @n8n/n8n-nodes-langchain.lmchatopenai
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Joseph.
Original n8n.io sourceAutomatically find potential customers on Reddit who are actively looking for solutions like your product. This workflow analyzes your product website, generates targeted keywords, searches Reddit for relevant conversations, and filters them using AI to give you only the most qualified leads.
Activate the Workflow
Trigger via form triggger node
Get Results: The workflow returns a complete markdown report with:
✅ 100% Automated - No manual keyword research or scrolling through Reddit ✅ AI-Powered Filtering - Only get conversations where people genuinely need your solution ✅ Comprehensive Data - See engagement metrics, post content, and direct links ✅ Customizable - Adjust filtering threshold, keyword count, posts per keyword ✅ Time-Saving - Processes 100 posts in ~2 minutes vs hours of manual work ✅ Smart Scoring - AI explains why each conversation is a good lead
APIs/Services:
Credentials to Set Up:
Adjust Search Parameters:
Modify AI Filtering:
Schedule Automation:
SaaS Founders: Find people asking for tools in your category Content Creators: Discover what your audience is discussing Market Researchers: Validate product ideas and pain points Community Managers: Monitor brand mentions and competitor discussions Sales Teams: Generate warm leads from genuine product inquiries
This is the batch processing version - it runs completely within n8n and outputs all results at once. Perfect for:
For a frontend-integrated version with progressive loading and real-time updates, check out my creator profile.
Tags: reddit, lead generation, automation, AI filtering, web scraping, market research, sales automation, keyword research, firecrawl, gemini
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 | Find qualified leads in Reddit posts with Firecrawl and GPT-4.1-mini |
|---|---|
| Complexity | advanced |
| Nodes | 20 |
| Categories | Lead Generation, AI Summarization |
| Author | Joseph |
| Published | 21 Jan 2026 |
Use the JSON export at /data/workflows/12882/12882.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.
Reddit Lead Generation Automation (Batch Processing Version) Overview Automatically find potential customers on Reddit who are actively looking for solutions like your product. This workflow analyz...
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 Lead Generation, AI Summarization use case.