Quality assurance: the secret to a successful web scraping project.

Get a sneak peek inside the data quality assurance process Scrapinghub uses to ensure 99% data quality and coverage on every dataset we scrape.

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About the content

When it comes to extracting data from the web, data quality is your #1 priority. Without a consistent and high quality output of web data from your spiders, your web scraping projects are of little value and can even be detrimental to your business if they are consuming resources without delivering meaningful results.

In this guide we’re going to talk about data quality assurance for web scrapers, and give you a sneak peek into some of the tools and techniques Scrapinghub has developed to ensure we can deliver our clients data with 99% accuracy and coverage.

A glimpse at what’s inside:
  • The fundamental principles of quality assurance for web scraping.
  • Scrapinghub's 4 layer approach to quality assurance.
  • How Scrapinghub uses automated QA to ensure high quality data at scale.
We scrape the web for: