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We don't scrape, you shouldn't either

  • Writer: Omar
    Omar
  • 6 days ago
  • 2 min read

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When people hear that we work with LinkedIn data, they sometimes assume we must be scraping it. It’s a fair assumption, LinkedIn scraping has existed for years, and many companies still rely on it to build large “verified” databases. But that’s not what we do at SuperMarketer.


Scraping means using automated bots to collect publicly visible information from profile pages. These tools gather names, job titles, companies, and education details without the user’s knowledge or consent. It’s a grey area legally, and it’s unreliable. The data is often outdated, inconsistent, and easily manipulated.


SuperMarketer takes a completely different approach. We never scrape LinkedIn or any other platform. Every dataset we process comes directly from the user, through a legitimate data request under European data privacy law. The user logs in, requests their LinkedIn archive from LinkedIn itself, and then chooses to share that file with us for analysis.


This difference is fundamental. Scraped data is taken; ours is shared. Scraping guesses who someone is; we get the information straight from the horse's mouth. That is to say, our data is accurate because it comes from real accounts directly from LinkedIn.


Beyond LinkedIn, we also work with verified exports from Google, Booking.com, and Amazon accounts. These datasets include detailed, structured records of activity that simply aren’t accessible through scraping: things like travel bookings, media consumption, and purchase history. The only way to obtain them is through the user themselves, using proper consent and official data-access mechanisms.


For our partners, that means higher-quality respondent profiles, stronger fraud prevention, and full compliance with platform policies and privacy law. For users, it means control and being cut in.


Want to learn more about our tools? Feel free to reach out to me directly at omar@supermarketer.co.uk.

 
 
 
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