# Web Data Scraping - Trends, Insights, Reports | PromptCloud

## [Funding geographic data for Geo-specific Market Research](https://www.promptcloud.com/blog/funding-geographic-data-for-geo-specific-market-research/)

Geographic data is, by far, the single most indispensable entity on which a business stands these days even before standing on brick and mortar. We have already discussed various use cases that validate the above statement in our older posts on What enterprises do with Big Data series. But here&#8217;s a specific use case that deserves [&hellip;]

## [Big Data for the Enterprise &#8211; Use Cases](https://www.promptcloud.com/blog/what-enterprises-do-with-big-data-part-3/)

This post has 2 precursors- Part 1 and Part 2 . Here&#8217;s the third batch of Big Data For Enterprise use cases. Use Cases of Big Data for Enterprise The source site that I&#8217;d like to collect data from limits the number of results. So use a search engine to collect as many results as [&hellip;]

## [Coming to Life- The All New Website is Here!](https://www.promptcloud.com/blog/coming-to-life-all-new-website-is-here/)

For those who don&#8217;t remember how the old website looked, we could have been glad about it but we&#8217;d rather show the before-after difference. Here it is- one big blob of text versus structured information. The new website design is finally live. Before After What led to the revamp?  Design- The old website was designed [&hellip;]

## [Web Crawler vs Hosted Web Scraping Solution](https://www.promptcloud.com/blog/web-scraping-tool-vs-hosted-scrape-solution/)

Web scraping is a widely known term these days; not just because so much data exists around us, but more because there&#8217;s already so much being done with that data. Let&#8217;s try to analyze the differences between opting for software that comes with DIY components over picking a hosted data acquisition or hosted crawl solution [&hellip;]

## [Confluence of Data Mining and Web Crawling](https://www.promptcloud.com/blog/data-mining-and-web-crawling/)

1993&#8211; 90&#8217;s saw a buzz in data mining, the days when tech publishers started part series on mining techniques and approaches. Courses were introduced in colleges and multiple researches produced to ride on this wave of data mining. Data mining essentially meant employing clustering or machine learning techniques to draw out conclusions based on data [&hellip;]

## [Data as a Service platform for Market Research](https://www.promptcloud.com/blog/data-as-a-service-for-market-research/)

Traditionally when data sources were limited, there were different kinds of processes in place at the market research firms. Reports were created out of manually entering data into systems and results were later visualized via some standard analyses. But with the exponential rise in data volume, both online and offline (because of online resources), techniques [&hellip;]

## [Customized 404 / Freshness Checker for URLs](https://www.promptcloud.com/blog/custom-404-freshness-checker-for-urls/)

With websites that link back to the original source for a particular piece of information, there&#8217;s an inherent problem of maintaining freshness of those links. Let&#8217;s take an example of a digital classified ad listing company that aggregates various ads from multiple sources on the web, and links each such ad back to its source [&hellip;]

## [Targeting International Clients &#8211; how we bypassed into them](https://www.promptcloud.com/blog/targeting-international-clients/)

It was only when someone asked us- “How many Indian clients do you guys serve currently?”, did we realize that we were only serving 2 at that point and had directly gone international since PromptCloud’s inception. How this happened- unintentionally and why this happened- we can closely guess. The Indian ecosystem wasn’t ready for such [&hellip;]

## [What enterprises do with Big Data- Part 2](https://www.promptcloud.com/blog/what-enterprises-do-with-big-data-part-2/)

It&#8217;s amusing how Big Data is knocking doors these days and so it took a while to settle down with the overwhelming response on the previous post. Here&#8217;s the next one. Notes- a) Notes that applied to the previous batch apply here too. b) Only public data gets crawled in the process and robots.txt is strictly [&hellip;]

