AutomationFlows › Recipes › Execute Workflow Trigger → Informationextractor

Execute Workflow Trigger → Informationextractor

When you need Execute Workflow Trigger and Informationextractor talking to each other, here are the 60 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Execute Workflow Trigger with Informationextractor

AI & RAG
Content - Newsletter Agent (form Trigger)

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

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

Api Schema Extractor. Uses manualTrigger, httpRequest, splitOut, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 88 nodes.

HTTP Request, Text Splitter Recursive Character Text Splitter, Document Default Data Loader +9
AI & RAG
Wait Splitout (http Request) #4

Wait Splitout. Uses manualTrigger, httpRequest, splitOut, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 88 nodes.

HTTP Request, Text Splitter Recursive Character Text Splitter, Document Default Data Loader +9
AI & RAG
API Schema Extractor (http Request)

This workflow automates the process of discovering and extracting APIs from various services, followed by generating custom schemas. It works in three distinct stages: research, extraction, and schema

HTTP Request, Text Splitter Recursive Character Text Splitter, Document Default Data Loader +9
AI & RAG
My Workflow (output Parser Structured)

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

Output Parser Structured, HTTP Request, Google Gemini Chat +15
AI & RAG
Search Worflow Docker Complete

Search Worflow Docker Complete. Uses documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreSupabase, embeddingsOllama. Scheduled trigger; 71 nodes.

Document Default Data Loader, Text Splitter Character Text Splitter, Supabase Vector Store +14
AI & RAG
Filter Urls with Ai-powered Robots.txt Compliance & Source Verification

Version : 1.0

Information Extractor, Model Selector, Lm Chat Mistral Cloud +5
AI & RAG
Crawl4 AI

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
Search Worflow Docker

Search Worflow Docker. Uses documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreSupabase, embeddingsOllama. Scheduled trigger; 65 nodes.

Document Default Data Loader, Text Splitter Character Text Splitter, Supabase Vector Store +12
AI & RAG
Youtube RAG Search with Frontend Using Apify, Qdrant and AI

I originally started to template to ask questions on the "n8n @ scale office-hours" livestream videos but then extended it to include the latest videos on the official channel.

HTTP Request, Qdrant Vector Store, Document Default Data Loader +7
Web Scraping
Automate Sales Meeting Prep with AI & Apify Sent to Whatsapp

Automate Sales Meeting Prep With Ai & Apify Sent To Whatsapp. Uses gmail, googleCalendar, lmChatOpenAi, informationExtractor. Event-driven trigger; 61 nodes.

Gmail, Google Calendar, OpenAI Chat +5
Email & Gmail
Splitout Googlecalendar (gmail)

Splitout Googlecalendar. Uses gmail, googleCalendar, lmChatOpenAi, informationExtractor. Event-driven trigger; 61 nodes.

Gmail, Google Calendar, OpenAI Chat +5
Web Scraping
Automate Sales Meeting Prep with AI & Apify Sent to Whatsapp (gmail)

This n8n template builds a meeting assistant that compiles timely reminders of upcoming meetings filled with email history and recent LinkedIn activity of other people on the invite. This is then disc

Gmail, Google Calendar, OpenAI Chat +5
AI & RAG
2582

2582. Uses gmail, googleCalendar, lmChatOpenAi, informationExtractor. Event-driven trigger; 61 nodes.

Gmail, Google Calendar, OpenAI Chat +5
AI & RAG
Document Q&a System with Voyage-context-3 Embeddings and Mongodb Atlas

On my never-ending quest to find the best embeddings model, I was intrigued to come across Voyage-Context-3 by MongoDB and was excited to give it a try.

HTTP Request, Execute Workflow Trigger, MongoDB +6
Data & Sheets
Splitout Filter (output Parser Structured)

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

Output Parser Structured, OpenRouter Chat, Information Extractor +7
AI & RAG
Startup Funding Research Automation with Claude, Perplexity Ai, and Airtable

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
Code Extractfromfile (http Request)

Code Extractfromfile. Uses manualTrigger, sort, httpRequest, compression. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG
Bamboohr Ai-powered Company Policies and Benefits Chatbot

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 (document Default Data Loader)

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
2464

2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG
Workflow 2464

Workflow 2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG
Scale Deal Flow with a Pitch Deck AI Vision, Chatbot and Qdrant Vector Store

Are you a popular tech startup accelerator (named after a particular higher order function) overwhelmed with 1000s of pitch decks on a daily basis? Wish you could filter through them quickly using AI

HTTP Request, Compression, Edit Image +15
AI & RAG
Bamboohr Ai-powered Company Policies and Benefits Chatbot (document Default Data Loader) (document Default Data Loader)

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

See more Execute Workflow Trigger workflows · Informationextractor workflows

FAQ

How do I trigger a Informationextractor action from Execute Workflow Trigger?

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

Do I need both a Execute Workflow Trigger and a Informationextractor 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 Execute Workflow Trigger → Informationextractor 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.