How to use Scrapin for account based marketing research

Account based marketing (ABM) isn’t magic—it’s just targeted. But to do it right, you need good research. That means finding real company info, not stale lists or wishful thinking. If you’re tired of noisy tools and want a practical, honest guide to using Scrapin for ABM research, you’re in the right place.

This is for marketers, SDRs, founders, and anyone else who wants to actually do ABM, not just talk about it. You don’t need to be a technical wizard, but you do need to be willing to dig in.

What Is Scrapin, Really?

First, a quick reality check. Scrapin is a web scraping tool built for sales and marketing research. It helps you pull fresh data from company websites, LinkedIn, and other places that don’t offer convenient CSVs. It’s a browser-based tool, not a magic button. You still have to know what you’re looking for, and you’ll need to clean up what you get.

Is it perfect? No. Is it faster than doing everything by hand? Absolutely.

Why Use Scrapin for ABM Research?

  • You want up-to-date info: Most “target account” lists are outdated within months. Scrapin helps you get the latest details, pulled straight from the source.
  • You need custom data: Maybe you care about tech stacks, recent hires, or specific job titles. Scrapin lets you pull what you want, not just what’s in bought lists.
  • You’re tired of paying for stale data: Enough said.

But let’s be honest: Scrapin doesn’t replace judgment. It just gives you more raw material to work with.

Step 1: Get Clear on What You Need

Don’t start scraping just because you can. Before you open up Scrapin, figure out what “accounts” actually matter for your ABM program.

Ask yourself: - Which industries or verticals do you care about? - What company size? (Employees, revenue, whatever matters to you.) - What titles or roles are you after? - Which geographies?

Pro tip: Write this down. If your criteria are fuzzy, your data will be too.

Step 2: Build a Target Account List (The Smart Way)

You can buy a list, but you’ll spend half your time cleaning up garbage. Instead, use these methods:

Option A: Use LinkedIn Search

  • Use Sales Navigator or plain LinkedIn to search for companies that fit your profile.
  • Filter by industry, size, location, etc.
  • Save the list or export the URLs. (There are browser extensions to help with this; just don’t expect perfection.)

Option B: Grab from Conference Sites or Industry Directories

  • Many industry events list attending companies.
  • Trade associations often publish member lists.
  • These lists are usually more relevant than generic data vendors.

Option C: Start with What You Have

  • Export your CRM’s “closed-lost” or “won” accounts—find lookalikes.

Pro tip: Don’t aim for a list of 5,000. ABM works better when you’re focused. A few dozen to a few hundred is plenty for most teams.

Step 3: Use Scrapin to Pull Company Data

Here’s where Scrapin comes in. You’ll want to grab details that aren’t in your CRM or public lists.

Scraping Company Websites

  1. Feed Scrapin your list of company URLs.
  2. Set up a scraping task to pull:
    • About page text (for descriptions, values, and current initiatives)
    • Leadership team pages (names, titles, sometimes emails)
    • Careers/jobs page (for hiring signals)
    • Tech stack clues (look for badges, “powered by,” etc.)

Heads up: Website structures vary wildly. Don’t expect every page to have what you want, or to be labeled the same way.

Scraping LinkedIn Profiles

  1. Use your company list to find their LinkedIn pages.
  2. Scrapin can scrape:
    • Company size, location, industry (as listed by LinkedIn)
    • Recent posts (good for spotting initiatives or campaigns)
    • Employee lists (for finding decision-makers)

Warning: LinkedIn doesn’t love scraping, so don’t go crazy. Keep your requests reasonable or you’ll get blocked.

Step 4: Hunt for Decision-Maker Contacts

Company info is fine, but you need people. Scrapin can help here, but you’ll have to get creative.

Finding the Right People

  • From LinkedIn company pages, scrape the employee list for relevant titles (e.g., “VP Marketing,” “Head of IT”).
  • Use company “Team” or “About Us” pages for direct info. Some list emails, though most don’t.

Email Guessing (The Honest Take)

Scrapin won’t magically give you everyone’s email. For that, you’ll need to: - Infer emails based on patterns (first.last@company.com, etc.) - Use email verification tools (never trust a scraped email blindly) - Sometimes, just pick up the phone or use LinkedIn InMail

Don’t waste time scraping generic emails like info@ or sales@. They almost never get you to a decision-maker.

Step 5: Clean and Enrich Your Data

Now you’ve got a messy CSV or spreadsheet. Don’t skip cleanup—bad data is worse than no data.

What to Check

  • Deduplicate: Get rid of repeats.
  • Standardize company names: “Acme Corp” vs. “Acme Corporation” will bite you later.
  • Check for missing values: No point reaching out if you have no contact.
  • Enrich: Add fields like industry, size, or tech stack using other tools or manual research if you need them.

Pro tip: Don’t try to automate everything. Sometimes a quick manual scan catches way more errors than fancy scripts.

Step 6: Prioritize and Organize for Outreach

You don’t want to blast every contact with the same message. Sort your list into tiers:

  • Tier 1: Highest fit, high intent—personalize everything.
  • Tier 2: Good fit, less clear intent—semi-personalized.
  • Tier 3: Long shots or “nice to have”—maybe just monitor for now.

Use a spreadsheet or your CRM to track this. Don’t overcomplicate it—color codes and simple notes go a long way.

Tips, Pitfalls, and What to Ignore

  • Don’t believe the hype: No tool (including Scrapin) is going to magically “unlock ABM at scale.” You still have to do the work.
  • Watch for scraping limits: Some sites will block you if you scrape too aggressively. Slow and steady wins here.
  • Quality > quantity: A list of 50 handpicked, well-researched accounts beats 5,000 randoms every time.
  • Privacy and compliance matter: Don’t scrape or store personal data you shouldn’t have. Know your local laws.
  • Ignore “AI-powered” features that just repackage scraped data: They rarely add value for ABM research.

Keep It Simple and Iterate

ABM works best when you start focused and improve with each cycle. Don’t stress over having the “perfect” list or every data point. Use Scrapin to make the grunt work faster, but remember—it’s just a tool. The value comes from what you do with the data, not how much of it you have.

Start small, learn what works, and never trust a list you didn’t build yourself. That’s how you make ABM research useful, not just another checkbox.