How it works
To connect moysklad and Web Form, you don't need a developer: a ready-made scenario links them in minutes.
- Starts when: On form submission
- Then: Research Request
- Then: Set Variables
- Then: Clarifying Questions
- Then: Feedback to Items
- Check: For Each Question...
- Then: Get Initial Query
- Then: Report Page Generator
- Then: Create Row
- Then: Initiate DeepResearch
- Then: Confirmation
- Then: End Form
- Then: Ask Clarity Questions
- Then: Structured Output Parser
- Then: OpenAI Chat Model
- Then: OpenAI Chat Model1
- Then: OpenAI Chat Model2
- Then: Structured Output Parser1
- Then: Generate SERP Queries
- Then: SERP to Items
- Check: For Each Query...
- Then: Combine & Send back to Loop
- Then: RAG Web Browser
- Check: Is Apify Auth Error?
- If yes: Stop and Error
- If no: Valid Results
- Check: Has Content?
- If yes: Get Markdown + URL
- Then: DeepResearch Learnings
- Then: Research Goal + Learnings
- If no: Empty Response
- Then: Structured Output Parser2
- Then: OpenAI Chat Model3
- Then: Set Initial Query
- Then: Generate Learnings
- Then: Accumulate Results
- Check: Is Depth Reached?
- If yes: Get Research Results
- Then: Generate Report
- If no: DeepResearch Results
- Then: Results to Items
- Then: Set Next Queries
- Starts when: DeepResearch Subworkflow
- Then: Execution Data
- Check: JobType Router
- If yes: Get Existing Row
- Then: Set In-Progress
- If no: Get Existing Row1
- Then: DeepResearch Report
- Then: Convert to HTML
- Then: HTML to Array
- Then: Tags to Items
- Then: Notion Block Generator
- Then: Parse JSON blocks
- Check: Valid Blocks
- Check: Append Blocks
- Check: For Each Block...
- Then: Set Done
- Then: Upload to Notion Page
- Then: URL Sources to Lists
- Then: OpenAI Chat Model4
- Then: Structured Output Parser4
- Then: Google Gemini Chat Model
You can launch this moysklad + Web Form integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.