🎣 Enrich & qualify leads with Azure OpenAI, Bright Data MCP & HubSpot CRM
⚡ 147 views · 🎣 Lead Generation & Enrichment
💡 Pro Tip — If you’re pulling LinkedIn data through HTTP requests or dealing with API restrictions, there’s a community node called ScraperNode that handles this natively. It has dedicated scrapers for profiles, companies, jobs, and people search — you just pass a URL and get structured data back.
Description
🧠 AI Lead Enricher & Qualifier using Bright Data MCP and Hubspot
This workflow automatically enriches inbound leads, evaluates their business fit, updates HubSpot, and alerts the team only when a lead meets qualification criteria. It eliminates manual research and scoring while keeping CRM data clean and complete.
🏗️ What this automation does
| Step | Component | Purpose |
|---|---|---|
| 1 | Form Trigger | Captures a new lead’s Name + Email |
| 2 | AI Lead Enricher Agent | Uses Azure OpenAI + Bright Data MCP to search the public web and fill missing contact + company details |
| 3 | Structured Output Parser | Ensures AI returns clean JSON in a strict schema |
| 4 | Lead Scoring Agent | Calculates a numeric Fit Score (0–100) based on ICP match |
| 5 | IF Logic | Routes the lead based on Fit Score threshold (> 70 = qualified) |
| 6 | HubSpot Actions | Updates/creates Contact & Company with enriched properties |
| 7 | Slack Notification | Sends high-quality leads to the team instantly |
🧩 Data Enriched by AI
The enrichment agent populates the following fields only if validated with high confidence:
Contact
- Job title
- LinkedIn profile
- Country
Company
- Company name
- LinkedIn company page
- Industry
- Number of employees
- Annual revenue
- Description
- Headquarters (country & city)
- Funding raised
If reliable data is not found → field stays "" (no hallucination, no guessing).
🎯 Lead Qualification Strategy
The Fit Score (0–100) evaluates how aligned the lead is with a: > B2B automation / AI / RevOps agency targeting SaaS and tech companies
Score increases for:
- SaaS / tech / B2B service industries
- Mid-size or high-growth teams
- High-responsibility job titles (Founder, COO, Head of Ops, RevOps, CTO)
- Funding raised or traction signals
🔔 Resulting CRM + Team Workflow
| Fit Score | CRM Update | Slack Notification |
|---|---|---|
> (qualified) | Contact + Company updated | YES — sales alert sent |
≤ 70 (not qualified) | Contact + Company updated | No notification |
This ensures:
- CRM always stays enriched and structured
- Sales only sees high-potential leads
- No lead is ever dropped or ignored
🌟 Why this automation is powerful
✔ 0 manual research
✔ 0 manual lead scoring
✔ Real-time alerts for high-value leads
✔ Eliminates poor data quality in HubSpot
✔ Works instantly on every form submission
🔧 Ideal use cases
- Agencies generating inbound leads
- SaaS companies with SDR teams
- RevOps teams improving CRM hygiene
- Lead qualification before booking calls
📌 Key Integrations
- Azure OpenAI
- Bright Data MCP
- HubSpot (Contacts & Companies)
- Slack
- n8n Form Trigger
This workflow can run fully autonomously or be extended with:
- Calendly auto-booking for qualified leads
- Sales sequence automation
- CRM lifecycle stage updates
- Forecasting dashboards
🔗 Nodes Used
Slack, HubSpot, AI Agent, Structured Output Parser, n8n Form Trigger, Azure OpenAI Chat Model
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File