Guide to exporting enriched contact data from Scrapin for CRM

Looking to pull enriched contact data out of Scrapin and actually get it into your CRM—without pulling your hair out? This guide is for anyone who’s tired of half-baked exports, weird CSV errors, or just wants a no-nonsense workflow. Whether you’re in sales, marketing, or running ops, if you want cleaner, fuller contact info in your CRM, you’re in the right place.

Let’s get into it.

Why bother with enriched contact data?

If you’re just dumping names and emails into your CRM, you’re missing out. “Enriched” means you’re pulling in extra info—think company details, social profiles, job titles, even tech stack. This data helps sales and marketing teams personalize outreach, prioritize better leads, and generally not look clueless.

But there’s a catch: not all enrichment is created equal. Some tools promise the world, then give you stale data or weird formatting. Scrapin does a decent job, but you still need to know how to get the good stuff out and into your CRM cleanly.

Step 1: Prep your data in Scrapin

Before you export anything, make sure you’re actually getting the data you want. Scrapin lets you scrape and enrich contact info from platforms like LinkedIn, which is handy if you want more than just basic details.

Checklist:

  • Define your target list. Are you pulling company contacts, prospects in a region, or something else? This matters for your filters.
  • Set up enrichment fields. Scrapin can pull things like company size, industry, social links, and more. Don’t just go with defaults unless you’re sure that’s all you need.
  • Preview your results. Before exporting, skim the data inside Scrapin. Are job titles missing? Are there weird special characters? Fix what you can now—bad data only gets worse once it’s in your CRM.

Pro tip:
Some enrichment fields cost more “credits” or slow down your runs. Only grab what you’ll actually use. More isn’t always better.

Step 2: Export your data (and avoid common pitfalls)

Scrapin gives you a few ways to export: CSV, XLSX, or sometimes direct integration. Here’s what to actually do:

Export as CSV

  • Go to your project or list inside Scrapin.
  • Look for the “Export” button—usually top right or next to your contacts table.
  • Pick CSV. (It’s the most universally accepted format for CRMs.)
  • Download and open the file. Check the first few rows for weirdness—sometimes, fields get shuffled or extra columns sneak in.

What to watch out for:

  • Column consistency: If you run multiple exports, field order can shift. That’s a pain when importing to a CRM.
  • Encoding issues: Non-English names or symbols can turn into gobbledygook in Excel or Google Sheets. Make sure you export as UTF-8 if you have international contacts.
  • Duplicates: Scrapin isn’t always great about weeding out dupes, especially if you’ve run multiple scrapes. Run a quick dedupe in Excel or Google Sheets. Don’t just trust the tool.

Use direct CRM integrations (if you must)

Scrapin sometimes offers direct pushes to CRMs like HubSpot or Salesforce. In theory, this saves time. In practice, these integrations can be flaky, especially if your CRM has custom fields or strict import rules.

  • If you have a small, standard CRM setup, the integration might work for you.
  • If you’ve customized your CRM at all, or you want to review the data before it goes live, stick to manual CSV export.

Honest take:
Even when integrations work, they often dump everything into a single list with no mapping. You’ll spend more time cleaning up after the fact than just doing a manual import.

Step 3: Clean and prep your exported data

Don’t skip this step. Even if your export “looks fine,” you’ll save yourself a headache by cleaning up now.

Key things to check:

  • Required fields: CRMs usually need at least name and email. Make sure those are present and not blank.
  • Consistent formatting: Watch for weird capitalization, stray spaces, or special characters.
  • Field mapping: Rename columns to match your CRM’s field names. For example, “Company Size” might need to be “company_size” or “Number of Employees” depending on your CRM.
  • Remove duplicates: Use Excel’s “Remove Duplicates” or Google Sheets’ unique filter.
  • Check for garbage data: Sometimes enrichment pulls in placeholder text, “N/A,” or broken URLs. Nuke those now.

Pro tip:
If your CRM supports custom fields, map your enriched data (like LinkedIn URL or industry) to those fields. Don’t just shove everything into the notes section.

What to ignore:
Don’t worry about columns you’ll never use—just delete them. Less clutter makes for a cleaner import.

Step 4: Import to your CRM (without making a mess)

Every CRM is a little different. Here’s a basic workflow that covers most of them (HubSpot, Salesforce, Pipedrive, etc.):

  1. Find the import function. Usually under Contacts > Import or Data Management.
  2. Upload your cleaned CSV.
  3. Map fields: This is where you tell your CRM which column goes to which field. Double-check this—bad mapping means bad data forever.
  4. Run a test import: Import just a handful of rows first. See what breaks.
  5. Check results: Look for missing data, weird formatting, or duplicates.
  6. Import the full file: If your test went fine, upload the rest.

Heads up:
Some CRMs will create new contacts for every email, even if that person already exists. If you’re not careful, you’ll end up with duplicates everywhere. Always use email as your unique identifier if your CRM allows it.

Step 5: Double-check everything (seriously)

Don’t just assume it worked. Go into your CRM and spot-check:

  • Are all the enriched fields showing up?
  • Do the links (like LinkedIn URLs) actually work?
  • Are any contacts missing key info?
  • Did you accidentally import 500 people named “Test User”?

It’s easier to fix problems now than after your sales team starts working those leads.

Pro tips and honest warnings

  • Don’t over-engineer. You don’t need every possible data point. Stick to what your team will actually use.
  • Automate later. If you’re doing this for the first time, go manual. Once you’ve nailed the process, then look at automation or integrations.
  • Watch your usage limits. Scrapin charges by credit or tier. Exporting giant lists with every enrichment field can burn through your quota fast.
  • Compliance matters. If you’re importing personal data, make sure you’re respecting GDPR or other privacy rules. Scrapin doesn’t magically make you compliant.
  • Garbage in, garbage out. If your source data is sketchy, no amount of enrichment will fix it. Always start with a solid, targeted list.

Wrapping up

Exporting enriched contact data from Scrapin to your CRM isn’t rocket science, but it does take a little care. Keep it simple: pull only the data you need, clean it up, and double-check your import. Don’t get hung up on automation or fancy integrations until your basics work every time. Iterate as you go, and you’ll spend less time fighting with spreadsheets—and more time actually using your data.