HAMMAD YOUSUF

LEAD GENERATION // FREE LIVE DEMO

Lead Scraper Agent

THE PROBLEM

Building a targeted B2B prospect list by hand — searching, copying, deduplicating — burns a full day before outreach can even start.

150/day

Leads processed daily at scale in production (IBRAHIM)

PROVEN IN PRODUCTION

Part of the Sales Prospecting Squad →

BOOK A CALL

No pitch — just a plan.

Give me a vertical and a location — I'll sweep the market, dedupe it, size every company, and hand you a list outreach can use today.

Execution trace — recorded run (this agent's real pipeline)

    • Defining the target profile

      ok
    • Building the prospect list

      ok
    • Deduplicating and sizing each company

      ok
    • Flagging fit per prospect

      ok
REAL OUTPUT — GENERATED BY THIS AGENT'S LIVE PIPELINE · GROQ · SPEAK OR TYPE TO USE YOURS

List-building time

~1 day → ~90 sec

projected

Leads processed daily at scale in production (IBRAHIM)

150/day

real · anonymized

Core Fitness50-100Owner/Managertrue
FitHub20-50General Managertrue
Pulse Dubai100-200Marketing Directortrue
Structured Prospect List
[{'name': 'Core Fitness', 'estimated_size': '50-100', 'likely_contact_title': 'Owner/Manager', 'fit_flag': 'true'}, {'name': 'FitHub', 'estimated_size': '20-50', 'likely_contact_title': 'General Manager', 'fit_flag': 'true'}, {'name': 'Pulse Dubai', 'estimated_size': '100-200', 'likely_contact_title': 'Marketing Director', 'fit_flag': 'true'}]
  • List curated based on target vertical and location
  • Estimated size of each prospect verified
  • Likely contact titles for each prospect identified
  • Fit flag applied based on predefined criteria

WHAT IS LEAD SCRAPER AGENT?

An AI lead scraper agent turns a target vertical and location into a structured, deduplicated prospect list — company name, estimated size band, likely contact title, and a fit flag — ready to feed directly into outreach, replacing the manual search-copy-dedupe cycle that normally eats a full day per list.

HOW IT WORKS

The agent doesn't just keyword-match a vertical against a location — it's prompted to apply the same quality checks a human list-builder would: exact and near-duplicate removal, excluding companies with no detectable active presence, and flagging fit based on the combination of vertical and location rather than either alone. That last distinction matters because a keyword-only match returns plenty of noise (a gym equipment supplier showing up in a 'gyms in Dubai Marina' search, say) that a fit-aware pass filters out before a human ever sees the list.

The list format — name, size, likely contact, fit flag — is designed to plug directly into the Lead Research and Cold Outreach Crafter agents on this site, so one list-building pass feeds the entire pipeline through to a drafted first email.

Gemini 2.0 FlashStructured JSON outputSynthetic GCC business dataset
system-prompt.md
You are a B2B list-building analyst for a Dubai-based growth agency. Given a target vertical and location, produce a structured prospect list (name, estimated size, likely contact title, fit flag), a summary metrics grid, and a checklist confirming list-quality checks were applied. Output ONLY a JSON array of typed blocks matching the OutputBlock union — no prose outside the JSON. Every company on the list must be a plausible, genuinely-inferable business for the given vertical and location — never fabricate a company that wouldn't realistically exist there, and never claim a verified email or phone number you haven't actually been given.

USE CASES

New-vertical outbound campaign

Spin up a fresh, qualified prospect list the same day a new target vertical is decided, instead of a week later once someone's finished the manual build.

Territory expansion

An agency expanding coverage from Dubai to Abu Dhabi or Sharjah builds a location-specific list in the same pass instead of starting research from scratch.

List refresh for stalled campaigns

Re-run the same vertical and location every quarter to catch new market entrants an old, static list would miss.

Feeding a CRM import

Export the structured table straight into a CRM import template instead of manually reformatting scraped data column by column.

RESULTS & BENCHMARKS

List-building time

~1 day → ~90 sec

projected (modeled)

Leads processed daily at scale in production (IBRAHIM)

150/day

real, anonymized

GET THIS RUNNING ON YOUR BUSINESS

Want Lead Scraper Agent solving this for you?

This runs in production today, not a mockup. Tell me your case on a free 30-minute call, or hire the whole system for $999/mo.

BOOK A CALL

No pitch — just a plan.

hire the whole system

FAQ

Common questions

How is an AI lead scraper different from a plain keyword search?

It applies fit-aware filtering — combining vertical and location, removing duplicates, excluding companies with no active presence — instead of returning every keyword match including obvious noise.

Does the live demo scrape real companies?

No — it runs against a synthetic, GCC-flavored sample dataset so you can try the format and quality checks without any real prospect data involved.

What happens to the list after it's built?

It's formatted to plug directly into the Lead Research and Cold Outreach Crafter agents on this site — one list-building pass can feed the whole pipeline through to a drafted first email.

Hammad Yousuf

Built by Hammad YousufAI Marketing Automation Engineer, 540K+ YouTube subscribers.

See the production missions these agent patterns run in, or hire the whole system.