In case you missed the first part of this series, where we went through data validation techniques, you can read it now: A Practical Guide To Web Data Extraction QA Part I: Validation Techniques
More and more businesses leverage the power of web scraping. Extracting data from the web is becoming popular. But it doesn't mean that the technical challenges are gone. Building a sustainable web scraping infrastructure takes expertise and experience. Here, at Scrapinghub we scrape 9 billion pages per month. In this article, we are going to summarize what the essential elements of web...
If you know anything about Scrapinghub, you know that we are obsessed with data quality and data reliability.
Outside of building some of the most powerful web scraping tools in the world, we also specialise in helping companies extract the data they need for their mission-critical business requirements. Most notably companies who:
- Rely on web data to make critical business decisions, or;
Your spider is developed and we are getting our structured data daily, so our job is done, right?
Absolutely not! Website changes (sometimes very subtly), anti-bot countermeasures and temporary problems often reduce the quality and reliability of our data.
Over the past few years, there has been an explosion in the use of alternative data sources in investment decision making in hedge funds, investment banks and private equity firms.
These new data sources, collectively known as “alternative data”, have the potential to give firms a crucial informational edge in the market, enabling them to generate alpha.