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Category: price-intelligence

A Practical Guide to Web Data QA Part III: Holistic Data Validation Techniques

In case you missed them, here’s the first part and second part of the series.

A Practical Guide to Web Data QA Part I: Validation Techniques

When it comes to web scraping at scale, there’s a set of challenges you need to overcome to extract the data. But once you are able to get it, you still have work to do. You need to have a data QA process in place. Data quality becomes especially crucial if you’re extracting high volumes of data from the web regularly and your team’s success depends on the quality of the scraped data.

Price Scraping: The Best Free Tool To Scrape Prices

Price scraping is something that you need to do if you want to extract pricing data from websites. It might look easy and just a minor technical detail that needs to be handled but in reality, if you don’t know the best way to get those price values from the HTMLs, it can be a headache over time.

Price intelligence with Python: Scrapy, SQL and Pandas

In this article I will guide you through a web scraping and data visualization project. We will extract e-commerce data from real e-commerce websites then try to get some insights out of it. The goal of this article is to show you how to get product pricing data from the web and what are some ways to analyze pricing data. We will also look at how price intelligence makes a real difference for...