AI-Powered Business Lead Scraping, Qualification & Outreach System

Description

Search → Scrape → Qualify → CRM → Email Draft Automation

Categories: Lead Generation, Sales Automation, AI Enrichment, Revenue Ops

This workflow automatically finds local businesses, extracts real contact details from their websites, qualifies them, and writes everything into a CRM — with personalized cold email drafts ready to send.

It’s designed to remove the manual grind from lead sourcing and first-touch outreach.

Search → leads → context → drafts → done.

What This Workflow Does

This automation takes raw local business results and turns them into usable, qualified leads:

• Pulls local business websites from a search dataset
• Scrapes each site for real contact information
• Normalizes emails, phones, names, and addresses
• Qualifies leads based on reachability and ops signals
• Writes clean, deduplicated records into a CRM
• Generates human-sounding cold email drafts

No copying websites. No guessing emails. No messy spreadsheets.

Why This Exists

Most lead gen systems fail before outreach even starts.

They rely on:

• Shallow scraped data
• Guessy enrichment
• Low-quality lists
• Manual cleanup

This system fixes that by grounding everything in what actually exists on the business website, then using AI only where it makes sense.

Human judgment at the edges. Automation in the middle.

How It Works (High Level)

1. Lead Source Ingestion (Apify Dataset)

The workflow starts with a dataset of local business search results.

This can be:

• Google search results
• Industry-specific directories
• Any Apify-powered source that includes URLs

Batch size is intentionally limited for safety.

2. Website Scraping

Each business website is fetched and stripped down to raw text.

Failures are allowed — broken sites simply don’t qualify later.

The raw content becomes the single source of truth.

3. AI Contact Extraction & Normalization

AI parses the site content to extract:

• Emails and phones
• Company name and address
• Contact people and titles
• Social links and contact pages
• Context snippets for traceability

Everything is normalized and returned as strict JSON.
If something isn’t clearly present, it stays empty.

4. Lead Qualification

Leads are scored based on:

• Reachability (email + website)
• Basic operational signals
• Optional social presence

Low-quality or unreachable leads are filtered out automatically.

5. CRM Write (Google Sheets)

Qualified leads are written into a lightweight CRM:

• Append-or-update by email
• Safe to re-run
• Easy to inspect and debug

This sheet becomes the system of record.

6. Cold Email Draft Generation

For each qualified lead, AI generates a personalized cold email draft:

• Casual, human tone
• Uses real site context
• Stored as drafts only
• Never auto-sent

Perfect for review, sequencing, or export into an outreach tool.

Tools Used

• n8n — workflow orchestration
• Apify — lead sourcing
• OpenAI — extraction, qualification, email drafting
• Google Sheets — lightweight CRM
• Hunter — email verification
• Tavily — optional enrichment & validation

Who This Is For

• Automation and AI agencies
• Consultants doing outbound
• Freelancers selling repeatable services
• Local-service lead gen operators
• Anyone tired of low-quality scraped lists

Customization Notes

• Swap Google Sheets for Airtable, HubSpot, or Notion
• Adjust qualification thresholds to control lead volume
• Replace Apify source with any directory or search dataset
• Plug drafts into any outbound sequencing tool
• Extend metadata for analytics or CRM sync

Difficulty & Cost

Difficulty: Intermediate
(Simple concept, careful execution)

Estimated setup time: 30–45 minutes

Ongoing cost:
OpenAI + Apify + verification APIs only

Summary

This is not just a scraper.

It’s a lead intelligence pipeline that turns raw search results into real, usable outbound opportunities.

Search → scrape → qualify → CRM → drafts
No guessing. No junk leads. No manual cleanup.