The Death of Apollo Scraping: Why Smart Cold Emailers Are Switching to Company First Prospecting

The Death of Apollo Scraping: Why Smart Cold Emailers Are Switching to Company First Prospecting

If you have spent any time in outbound sales, you have likely scraped hundreds (maybe thousands) of contacts from Apollo

Written by

Hashir Khurram

Published on

October 8, 2025

13

min

It feels easy:

  • Filter by title

  • Set the location

  • Choose industry

  • Hit “Export”

But heres the uncomfortable truth:

Everyone else is doing the same thing

Which means your list is not just stale its saturated

And reply rates are dropping across the board

The Problem with People First Scraping

Most cold emailers start with the person:

“Give me all Marketing Managers in California”

But this leads to:

  • Wrong fit companies

  • Confusing ICP logic

  • Mass emails that feel off

  • Contacts who do not care about your offer

Its like fishing in a pond with 50 other fishermen using the same bait

Even worse? The same contacts get hit week after week

So whats the alternative?

Company First Targeting Is the New Meta

Instead of scraping people scrape companies

Ask better questions:

  • Who actually benefits from your offer?

  • What tech stack do they need to be using?

  • What stage should they be at?

  • Where are they located?

Then use that logic to build lists like:

“Find companies using Webflow, <20 employees, based in Texas”

“Give me D2C brands using Klaviyo and Recharge with at least 1,000 monthly visitors”

“Pull B2B SaaS startups using Stripe and hiring SDRs”

Now you are fishing where others are not

Scrapeamax Makes This Easy

Using Scrapeamax, you can:

  • Source companies first from 11+ premium databases

  • Run queries from BuiltWith, Crunchbase, GMB, Store Leads, Clutch and more

  • Enrich only the best fit companies

  • Then find the exact right person using tools like Clay or Findymail

And best of all? You are not scraping recycled contacts

You are building hyper relevant lists from scratch

Example: Old vs New Method

Traditional Apollo Scraping:

  • Filter: CTOs in the US

  • Output: 5,000 contacts from random companies

  • Issue: No alignment with offer, low relevance

New Company First Workflow with Scrapeamax:

  • Filter: AI startups using Stripe + Calendly, <50 employees

  • Output: 387 companies scraped via BuiltWith + Crunchbase

  • Then: Enriched with Clay to Verified emails to Sequenced via Smartlead

  • Result: 6X increase in positive reply rate

Ready to Ditch the Old Way?

We will show you how to:

  • Scrape unlimited companies

  • Build smarter, cleaner lead lists

  • Skip the mess of scraping Apollo contacts who have been hit 10x already

Book a Call and get your first list free

https://calendly.com/hashir-khurram/scrapeamax-unlimited-lead-lists

No pitch, Just show up and tell us your ICP

  • No tool limits

  • No spammed contacts

  • No more wasting time on the wrong people

Scrape smarter

Start with context

Scale with clarity

The Scrapeamax Team

Hashir 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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