Enrich company data from Google Sheet with OpenAI Agent and ScrapingBee
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 12 nodes and runs when an HTTP GET request hits its webhook URL (plus 1 other trigger). Along the way it connects OpenAI Chat Model and Google Sheets. It also calls app.scrapingbee.com over HTTP.
How it runs
Trigger: When an HTTP GET request hits its webhook URL (plus 1 other trigger).
- Get rows from Google Sheet (Google Sheets): uses Google Sheets
- Set company url (Edit Fields (Set)): sets 1 field: url
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- ScrapingBee : Scrape company's homepage data (HTTP Request): calls app.scrapingbee.com
- Update Company's Row on Google Sheet (Google Sheets): update
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; 1 tool (Call n8n workflow : Scrape companies homepage content); output parser: Structured Output Parser
- HTML to Markdown (Markdown): converts between Markdown and HTML
Services it uses
HTTP calls to: app.scrapingbee.com
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Agent (v1.6): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent (v1.6) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (11)
- Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Google Sheets
n8n-nodes-base.googleSheets - Call n8n Workflow Tool
@n8n/n8n-nodes-langchain.toolWorkflow - HTTP Request
n8n-nodes-base.httpRequest - Execute Workflow Trigger
n8n-nodes-base.executeWorkflowTrigger - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - AI Agent
@n8n/n8n-nodes-langchain.agent - Edit Fields (Set)
n8n-nodes-base.set - Markdown
n8n-nodes-base.markdown - Webhook
n8n-nodes-base.webhook
From the author
This workflow demonstrates how to enrich data from a list of companies in a spreadsheet. While this workflow is production-ready if all steps are followed, adding error handling would enhance its robustness. Important notes - Check legal regulations: This…