How We Built a Hyperqualified Ecommerce Lead List (Without Burning Cash)

How We Built a Hyperqualified Ecommerce Lead List (Without Burning Cash)

Had a client who only wanted us targeting real ecommerce brands — not coaches with a Shopify checkout or ghost stores with no traffic.

So instead of blasting the internet blindly, we built a lead scoring model that filtered signal from noise.

Written by

Moiz Khurram

Published on

January 15, 2025

13

min

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Here’s the exact stack + flow:

  1. Scraped the base list from StoreLeads using Scrapeamax — super affordable, unlimited.

  2. Used BuiltWith (free method) to confirm they actually used Shopify.

  3. Pulled traffic data from Similarweb using ZenRows — checks if the site gets any legit visits.

  4. Scored each company in Clay — to flag “real ecommerce” vs consultants or fake brands.

This gave us 3 clean signals per lead:

  • ✅ Using Shopify

  • ✅ Getting real traffic

  • ✅ Actually an ecommerce brand

Once we filtered by traffic volume + ecommerce = true, we had a hyperqualified list that felt like printing money.

Most people either skip this step or pay $$$ to outsource it.

But with Scrapeamax → BuiltWith and Storelads → ZenRows → Clay, you can build the same list in under 30 minutes.

And the best part?
With Clay automations, you can trigger outreach only when all 3 signals are true.

Feels like a cheat code.

With scrapeamax you can scrape unlimited lead list for less than your coffee budget.

You get unlimited access to:

* GMB scraping

* BuiltWith scraping

* Latka scraping

* Agency Vista scraping

* Clutch scraping

* Store Leads scraping

* GoodFirms scraping

It’s fully automated, no proxies needed, and no monthly limits

Here is link to book a live demo and learn more: https://www.scrapeamax.com/

Moiz Khurram

🏆 Winner SaaS Bootstrapper of the year 2024 Award by Tekpon | Growing Expandi towards $10M ARR | Prioritizing health -9% body fat year-round 🏋️‍♂️ | Sharing Real Stories in Public


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