AutomationFlowsRecipes › Informationextractor → Outputparserstructured

Informationextractor → Outputparserstructured

When you need Informationextractor and Outputparserstructured talking to each other, here are the 63 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Informationextractor with Outputparserstructured

AI & RAG

🎯 Create viral TikToks, Shorts, Reels, podcasts, and ASMR videos in minutes — all on autopilot.

OpenAI, HTTP Request, Form Trigger +7
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

Resume Screening & Behavioral Interviews with Gemini, Elevenlabs, & Notion ATS copy. Uses outputParserStructured, chainLlm, googleDrive, stickyNote. Webhook trigger; 67 nodes.

Output Parser Structured, Chain Llm, Google Drive +9
AI & RAG

Candidate Engagement | Resume Screening | AI Voice Interviews | Applicant Insights

Output Parser Structured, Chain Llm, Google Drive +9
AI & RAG

crawl4 ai. Uses documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreSupabase, embeddingsOllama. Scheduled trigger; 65 nodes.

Document Default Data Loader, Text Splitter Character Text Splitter, Supabase Vector Store +12
AI & RAG

This end-to-end AI-powered recruitment automation workflow helps HR and talent acquisition teams automate the complete hiring pipeline—from resume intake and parsing to GPT-4-based evaluation, TA appr

Form Trigger, Output Parser Structured, Google Drive +10
AI & RAG

This is an automated blog post generation system that: Researches topics using AI agents and web search tools Writes complete blog posts with proper SEO structure Generates custom images for each post

Output Parser Structured, Google Gemini Chat, HTTP Request Tool +11
Data & Sheets

Splitout Filter. Uses manualTrigger, outputParserStructured, lmChatOpenRouter, informationExtractor. Event-driven trigger; 51 nodes.

Output Parser Structured, OpenRouter Chat, Information Extractor +7
AI & RAG

This intelligent workflow automatically discovers and analyzes recently funded startups by: Monitoring multiple news sources (TechCrunch and VentureBeat) for funding announcements Using AI to extract

Output Parser Structured, OpenRouter Chat, Information Extractor +7
AI & RAG

Fully automated blog creation system using n8n + AI Agents + Image Generation

Agent, Output Parser Structured, Groq Chat +9
AI & RAG

BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
AI & RAG

BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
AI & RAG

This workflow enables companies to provide instant HR support by automating responses to employee queries about policies and benefits: Retrieves company policies, benefits, and HR documents from Bambo

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
AI & RAG

CV → Match → Screen → Decide, all automated

HTTP Request, Information Extractor, Google Sheets +7
AI & RAG

This n8n workflow builds a self-improving AI agent for handling email responses. It integrates Gmail for incoming messages, uses an AI agent with a Supabase vector store for knowledge retrieval, draft

OpenAI Embeddings, Supabase Vector Store, OpenAI Chat +10
AI & RAG

This n8n template automates complaint mining from unstructured text sources and turns raw user feedback into clear, actionable insights. It uses AI to identify recurring complaints, pain points, and t

Output Parser Structured, Chain Llm, Google Gemini Chat +5
AI & RAG

Transform your chaotic inbox into a streamlined productivity hub! This advanced n8n workflow acts as your personal AI executive assistant. It automatically reads, categorizes, and summarizes your dail

Time Saved, Gmail, Lm Chat Google Vertex +5
AI & RAG

GameMasterAi. Uses agent, lmChatOpenAi, discord, chatTrigger. Webhook trigger; 36 nodes.

Agent, OpenAI Chat, Discord +6
AI & RAG

This workflow automates the process of transforming any website URL into a structured, intelligent company profile. It's triggered by a form, allowing a user to submit a website and choose between a "

Supabase, Lm Chat Mistral Cloud, N8N Nodes Mcp +7
AI & RAG

Enterprise-grade resume screening automation built for production environments. This workflow combines intelligent AI analysis with comprehensive error handling to ensure reliable processing of candid

Gmail Trigger, Google Drive, HTTP Request +6
AI & RAG

This workflow implements an advanced AI-powered system for generating, and executing Claude Skills stored on GitHub.

Chat Trigger, Memory Buffer Window, Mcp Client Tool +9
AI & RAG

This workflow automates the complete process of generating and sending AI-powered newsletters. It starts with a form submission where the user provides a brand name, website, and topic query. The syst

Output Parser Structured, Agent, Google Sheets +5
AI & RAG

This template is ideal for HR teams, recruiters, staffing agencies, and tech-enabled hiring managers looking to automate the intake, analysis, and shortlisting of job applicants directly from CV submi

Form Trigger, Output Parser Structured, Google Drive +6
AI & RAG

CreateWorkPlan. Uses informationExtractor, lmChatAzureOpenAi, outputParserStructured, mcpClientTool. Webhook trigger; 29 nodes.

Information Extractor, Lm Chat Azure Open Ai, Output Parser Structured +6

See more Informationextractor workflows · Outputparserstructured workflows

FAQ

How do I trigger a Outputparserstructured action from Informationextractor?

Most workflows in this list use either a Informationextractor 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 Informationextractor 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 Informationextractor → 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.