Generate B2B lead opportunities from websites with Brightdata & OpenRouter AI
UnknownWhat this workflow does
This AI workflow has 16 nodes and runs when a chat message arrives. Along the way it connects OpenRouter Chat Model and Brightdata (community).
How it runs
Trigger: When a chat message arrives.
- parameters (Edit Fields (Set)): sets 2 fields: url, sitemap
- scrap urls (Bright Data): uses Bright Data
- extract url (Code): runs custom JavaScript code
- Find best pages (AI Agent): runs an AI agent, with model: OpenRouter Chat Model; output parser: Structured Output Parser
- clean list (Code): runs custom JavaScript code
- scrap urls (Bright Data): uses Bright Data
- HTML: parses or builds HTML
- Identify business opportunities (AI Agent): runs an AI agent, with model: OpenRouter Chat Model; output parser: Structured Output Parser
- merge pages (Code): runs custom JavaScript code
- de-dupe (AI Agent): runs an AI agent, with model: OpenRouter Chat Model
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that @brightdata/n8n-nodes-brightdata is verified or supports 3.0 (used in scrap urls, scrap urls1).
Nodes used (8)
- Edit Fields (Set)
n8n-nodes-base.set - Code
n8n-nodes-base.code - Bright Data
@brightdata/n8n-nodes-brightdata.brightData - OpenRouter Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenRouter - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - HTML
n8n-nodes-base.html - Chat Trigger
@n8n/n8n-nodes-langchain.chatTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
This workflow is designed for B2B professionals to automatically identify and summarize business opportunities from a company's website. By leveraging Bright Data's Web Unblocker and advanced AI models from OpenRouter, it scrapes relevant company pages…