AutomationFlowsRecipes › Chainllm → Outputparserstructured

Chainllm → Outputparserstructured

When you need Chainllm and Outputparserstructured talking to each other, here are the 676 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Chainllm with Outputparserstructured

AI & RAG

⚠️ DISCLAIMER: This workflow uses the AnySite LinkedIn community node, which is only available on self-hosted n8n instances. It will not work on n8n.cloud.

OpenAI Chat, Output Parser Structured, Google Sheets +6
AI & RAG

Complete PostgreSQL-backed system: Keyword scoring → AI research → Multi-part content generation → fal.ai Nano Banana image generation → WordPress publishing

WordPress, OpenAI, Perplexity +8
AI & RAG

LLMS_Query_Links_stabilisation. Uses mySql, lmChatOpenAi, executeCommand, chainLlm. Webhook trigger; 95 nodes.

MySQL, OpenAI Chat, Execute Command +6
AI & RAG

LLMS_Query_Links_stabilisation. Uses mySql, lmChatOpenAi, executeCommand, chainLlm. Webhook trigger; 95 nodes.

MySQL, OpenAI Chat, Execute Command +6
AI & RAG

Camila IA. Uses postgres, crypto, redis, agent. Webhook trigger; 92 nodes.

Postgres, Crypto, Redis +13
AI & RAG

Content - Newsletter Agent. Uses formTrigger, chainLlm, outputParserStructured, httpRequest. Event-driven trigger; 91 nodes.

Form Trigger, Chain Llm, Output Parser Structured +8
AI & RAG

My workflow 14. Uses supabase, redis, openAi, googleCalendarTool. Webhook trigger; 91 nodes.

Supabase, Redis, OpenAI +13
AI & RAG

Content - Newsletter Agent. Uses formTrigger, chainLlm, outputParserStructured, httpRequest. Event-driven trigger; 87 nodes.

Form Trigger, Chain Llm, Output Parser Structured +7
AI & RAG

A lightweight, self-hosted AI assistant built entirely in n8n. Multi-channel messaging (Telegram, WhatsApp, Gmail), persistent memory, task management, and autonomous work — all in a single visual wor

Telegram Trigger, OpenRouter Chat, Data Table +20
Data & Sheets

Stopanderror Splitout. Uses outputParserStructured, lmChatOpenAi, formTrigger, chainLlm. Event-driven trigger; 85 nodes.

Output Parser Structured, OpenAI Chat, Form Trigger +8
AI & RAG

This template attempts to replicate OpenAI's DeepResearch feature which, at time of writing, is only available to their pro subscribers.

Output Parser Structured, OpenAI Chat, Form Trigger +8
Data & Sheets

This n8n workflow automates the transformation of spreadsheet data into professional charts and graphs using AI-driven analysis. Triggered via Slack, it processes uploaded files (Excel, CSV, Google Sh

Agent, Postgres, HTTP Request +8
AI & RAG

Deep Research new (fr). Uses outputParserStructured, formTrigger, chainLlm, form. Event-driven trigger; 82 nodes.

Output Parser Structured, Form Trigger, Chain Llm +8
AI & RAG

My Workflow. Uses outputParserStructured, httpRequest, lmChatGoogleGemini, chainLlm. Scheduled trigger; 82 nodes.

Output Parser Structured, HTTP Request, Google Gemini Chat +15
Slack & Telegram

End-to-End Video Creation from user idea or transcript AI-Powered Scriptwriting using LLMs (e.g., DeepSeek via OpenRouter) Voiceover Generation with customizable TTS voices Image Scene Generation usin

HTTP Request, Form Trigger, Output Parser Structured +6
Data & Sheets

Deep Research (fr). Uses outputParserStructured, formTrigger, chainLlm, form. Event-driven trigger; 81 nodes.

Output Parser Structured, Form Trigger, Chain Llm +6
AI & RAG

AI News Data Ingestion. Uses rssFeedReadTrigger, chainLlm, s3, httpRequest. Event-driven trigger; 80 nodes.

Rss Feed Read Trigger, Chain Llm, S3 +5
Social Media

This workflow is ideal for individuals, marketers, agencies, and brands who want to effortlessly automate the entire blogging and social media process—from idea generation to promotion. Its primary go

Execute Workflow Trigger, Notion, OpenAI Chat +13
Data & Sheets

Deep Research old(fr). Uses outputParserStructured, formTrigger, chainLlm, form. Event-driven trigger; 79 nodes.

Output Parser Structured, Form Trigger, Chain Llm +6
Data & Sheets

Deep Research old(fr). Uses outputParserStructured, formTrigger, chainLlm, form. Event-driven trigger; 79 nodes.

Output Parser Structured, Form Trigger, Chain Llm +6
AI & RAG

sourcing_agent_production. Uses mySql, openAi, executeCommand, emailSend. Webhook trigger; 78 nodes.

MySQL, OpenAI, Execute Command +5
AI & RAG

sourcing_agent_production. Uses mySql, openAi, executeCommand, emailSend. Webhook trigger; 78 nodes.

MySQL, OpenAI, Execute Command +5
AI & RAG

The best content automation template in the market is now even better—with “deep research” on time-sensitive topics\! Unlike most n8n content automation templates that are mainly for “demo purposes,”

OpenAI, HTTP Request, XML +11
AI & RAG

This comprehensive workflow automates the complete financial document processing pipeline using AI. Upload invoices via chat, drop expense receipts into a folder, or add bank statements - the system a

Chat Trigger, HTTP Request, Google Sheets +8

See more Chainllm workflows · Outputparserstructured workflows

FAQ

How do I trigger a Outputparserstructured action from Chainllm?

Most workflows in this list use either a Chainllm webhook trigger (real-time) or a polling trigger (every N minutes). From there, downstream Outputparserstructured nodes handle the action. Open any workflow's detail page to see the exact node graph.

Do I need both a Chainllm and a Outputparserstructured account?

Yes — n8n connects to each integration via your own credentials. AutomationFlows strips credential IDs before publishing, so you'll add your own.

Are these Chainllm → Outputparserstructured workflows free?

Yes — every workflow on AutomationFlows is free to browse and copy. Pro adds a multi-signal QualityScore on every workflow plus bulk JSON download.