Discover the hidden costs of in-house web scraping
Discover the hidden costs of in-house web scraping
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The State of Web Access in 2026 Report is Live Now
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How leading enterprises turned web data into results
Explore Stories
Discover the hidden costs of in-house web scraping
Calculate Now
The State of Web Access in 2026 Report is Live Now
Read Now
How leading enterprises turned web data into results
Explore Stories
Top 5 uses of eCommerce data analytics for your business
Boosted by the pandemic, online sales have scaled new heights. Even avenues like online grocery delivery which weren’t that popular earlier have seen high growth, led by companies like Amazon Fresh and Instacart. Food delivery platforms like Doordash saw their revenue multiply as people decided to stay in and order food online. The growth of […]
Read MoreWeb Scraping – A Skill or a Crime?
The success of a business is no more tied just to personnel and workers’ skills. While those are still important, today businesses rely mainly on data. No matter how good your product or service is unless you have customer or client data, to know regarding market trends – Desired features Competitive pricing Product updates Quality […]
Read MoreScraping Pricing Data from eBay
Scraping pricing data is one of the most common techniques used by both companies and individuals to set prices on new websites or for listing new products. What sets eBay apart from other online retailers like Amazon and Walmart is that here, products are listed not just by sellers but also by individuals. A lot […]
Read MorePrice Tracking in the age of eCommerce
Price tracking has become an essential feature of new-age companies that sell products online. This is applicable for both eCommerce marketplaces as well as those that sell products of their own. However, the competition to have a lower price is much higher among marketplaces since individuals would almost always prefer to pay less for the […]
Read MoreOnline Brand Monitoring Services and how to navigate Social Media
Most B2C companies today have a social media presence. This is usually through platforms like Twitter, LinkedIn, Facebook or even Instagram. Large companies have entire social media teams dedicated to responding to mentions or tags. Small companies on the other hand, usually hire one or two individuals to reach out to those who are aggrieved […]
Read MoreSentiment Monitoring in the Financial Sector
Sentiment Monitoring has been used for Brand Monitoring or to spot trends in retail customers for a while now. In the Financial Sector, Sentiment Monitoring has seen a recent surge. This is due to the increase in the number of retail investors who often debate on social media pages and discussion boards. Opinions and statements […]
Read MoreExploring the Exploratory Data Analysis Process!
A dataset can be analysed in multiple ways. Exploratory data analysis process is one of the most widely used methods among the available solutions. In simple terms, the process involves the extraction of certain data points from the dataset and generating graphs. These graphs are then analysed visually to find trends or patterns. The visualisations […]
Read MoreBuilding Custom Web Crawler for Websites like Amazon
Mammoths like Amazon and Walmart were not just built on great ideas, but also on top of large amounts of data. So when you try to build custom web crawler to fetch data from websites of companies like these, it does make sense. However, one also needs to deep dive into how the best data […]
Read MoreScrape e-commerce data from Walmart- the world’s largest retail store
Based on this article published by Forbes, Walmart data had 20,000 stores in 28 countries as of July 2021. It is still the largest retailer in the world, with Amazon following far second at almost half its sales. Established in 1962, while it is not a new company, it has improved its tech efforts, leaving […]
Read MoreData Scientists and their Methods of Data Science in today’s World
Data Science is a field that has grown beyond leaps and bounds, just like man-made and machine-created data itself. It has led to the growth in the number of individuals from different fields like mathematics and bioscience, taking up data as a tool for solving problems. Algorithms have gone far beyond handling numbers and texts. […]
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