Process Web Forms and Enrich Notion with AI-Powered Data
Workflow Description
A comprehensive automation that captures form submissions, processes them through advanced AI models (OpenAI and Gemini), structures and refines responses, stores enriched data in Notion databases, and optionally publishes summaries to X. Handles batch processing and conditional routing for scalable workflows.
How it works
- 1.Capture form submissions using a form trigger node
- 2.Route data through connected LLM chains with OpenAI and Gemini models
- 3.Split large datasets into batches for efficient parallel processing
- 4.Parse and structure AI responses using output parsers
- 5.Save processed records to Notion database with mapped properties
- 6.Conditionally post summaries or results to X based on defined rules
Use cases
- Automatically collect, analyze, and organize customer feedback in Notion using AI insights
- Process incoming support inquiries, categorize them, and create trackable tasks in Notion
- Generate social media content from form data using AI, then publish to X
- Centralize data collection from multiple sources with unified AI-driven enrichment
Requirements
- Valid API keys for OpenAI and Google Gemini services
- Configured Notion workspace with prepared databases and properties
- Active X account for publishing (optional but recommended)
- Basic knowledge of JSON formatting and data structure mapping
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (85)
Structured Output Parser
Output Parser Structured
Set Variables
Set
OpenAI Chat Model
OpenAI
OpenAI Chat Model1
OpenAI
OpenAI Chat Model2
OpenAI
Structured Output Parser1
Output Parser Structured
On form submission
Form Trigger
Generate SERP Queries
LLM Chain
Structured Output Parser2
Output Parser Structured
OpenAI Chat Model3
OpenAI
Set Initial Query
Set
SERP to Items
Split Out
Item Ref
No Op
Research Goal + Learnings
Set
Accumulate Results
Set
DeepResearch Results
Set
Results to Items
Split Out
Set Next Queries
Set
For Each Query...
Split In Batches
Feedback to Items
Split Out
Ask Clarity Questions
Form
For Each Question...
Split In Batches
DeepResearch Subworkflow
Execute Workflow Trigger
Sticky Note
Sticky Note
Clarifying Questions
LLM Chain
Sticky Note1
Sticky Note
End Form
Form
Initiate DeepResearch
Execute Workflow
Execution Data
Execution Data
JobType Router
Switch
OpenAI Chat Model4
OpenAI
Get Initial Query
Set
Structured Output Parser4
Output Parser Structured
Create Row
Notion
Report Page Generator
LLM Chain
Sticky Note2
Sticky Note
Sticky Note3
Sticky Note
Sticky Note4
Sticky Note
Is Depth Reached?
If
Get Research Results
Set
Get Existing Row
Notion
Set In-Progress
Notion
Set Done
Notion
Tags to Items
Split Out
Convert to HTML
Markdown
HTML to Array
Set
Notion Block Generator
LLM Chain
Google Gemini Chat Model
Gemini Model
Parse JSON blocks
Set
Upload to Notion Page
HTTP Request
Sticky Note5
Sticky Note
Sticky Note6
Sticky Note
Sticky Note7
Sticky Note
Get Existing Row1
Notion
Sticky Note8
Sticky Note
Sticky Note9
Sticky Note
Sticky Note10
Sticky Note
Sticky Note11
Sticky Note
DeepResearch Report
LLM Chain
DeepResearch Learnings
LLM Chain
Generate Report
Execute Workflow
Generate Learnings
Execute Workflow
Confirmation
Form
Research Request
Form
Valid Blocks
Filter
Sticky Note12
Sticky Note
Append Blocks
Merge
URL Sources to Lists
Code
Empty Response
Set
Has Content?
If
Sticky Note13
Sticky Note
Sticky Note14
Sticky Note
Sticky Note15
Sticky Note
Combine & Send back to Loop
Aggregate
For Each Block...
Split In Batches
Sticky Note16
Sticky Note
Sticky Note17
Sticky Note
Sticky Note18
Sticky Note
Sticky Note20
Sticky Note
Valid Results
Filter
RAG Web Browser
HTTP Request
Get Markdown + URL
Set
Is Apify Auth Error?
If
Stop and Error
Stop And Error
Sticky Note19
Sticky Note