1,000-lead cold outreach system built with Outscraper, Zoho CRM and Claude Code

1,000-Lead Cold Outreach System: Outscraper, Zoho CRM, Claude Code

Stanislav Kapustin Aug 4, 2026 case study · automation · lead generation · zoho crm · web scraping · ai · marketing automation

Case summary

Quick scan before the full breakdown.

Goal

Build a repeatable B2B outreach machine that finds the right businesses and moves every contact through a defined sequence

Stack

Outscraper, Python, Cloudflare-bypass container, Claude Code, Zoho CRM

Result

~1,000 businesses sourced and classified, 140 emails sent in two weeks, 2 meetings booked from a cold list

My client is a sculptor working from a studio in Tivat, Montenegro. His work sells through relationships — an architect specifies it, a designer places it, a hotel commissions it. He had no systematic way to reach those people. Outreach happened when he remembered to do it.

The goal wasn’t “send more emails.” It was to build a repeatable machine that finds the right businesses, understands what each one actually does, and moves every contact through a defined sequence without anything falling through the cracks.

What I built

1. Sourcing

Outscraper pulled business records from Google Maps across four segments: architecture firms, interior design showrooms, restaurants, and hotels. About 1,000 companies with names, addresses, phones, and websites.

2. Enrichment

Google Maps data tells you a company exists, not whether it’s worth writing to. I wrote a Python scraper that visited every website. Many sat behind Cloudflare, so requests routed through a dedicated solver container that handled the challenge and returned clean HTML. The same pass harvested secondary channels the Maps listing never showed: Facebook, WhatsApp, Telegram.

3. Classification

Claude Code read each scraped site and classified the business by what it genuinely does, not by its Maps category. A “design studio” that only does kitchen renovations is a different prospect than one furnishing boutique hotels. Bad-fit companies were filtered out before they ever reached the CRM.

4. CRM and sequencing

Records pushed into Zoho CRM via API, each one arriving with a personalised first email already drafted by Claude Code and a send task auto-created. Zoho workflows then chained the sequence: close the “send email” task, a reminder-email task appears days later, close that, a phone-call task appears. The follow-up structure runs itself.

5. Sending

Zoho lets you connect your own mailbox even on the free plan, so everything sends from the client’s real address. Delivery stayed human and deliberate: five emails a day, reviewed before sending. Secondary contacts got messages through Facebook, WhatsApp, and Telegram.

Results

  • ~1,000 businesses sourced, scraped, and classified
  • 140 emails sent over two weeks
  • 2 meetings booked from a cold list, in a market with no prior relationships
  • a CRM that now holds every contact, every touch, and every next action

The volume ceiling is deliberate. Sending is still human-in-the-loop while we learn which segments and which messages actually land — automating a message nobody answers just produces failure faster. The infrastructure underneath is fully built and ready to scale the moment the copy proves itself.

Stack

Outscraper, Python, a Cloudflare-bypass container, Claude Code, Zoho CRM (API and workflow automations), Facebook/WhatsApp/Telegram outreach.

More cases

Three nearby case studies worth reading next.

Need a similar system in your business?

If you have a manual workflow between tools, I can help map the logic, design the system, and automate it in a way your team can actually use.

Hire Me on Upwork