Web Scraping – Data as a Service.

Have you heard of data as a service (DaaS) before? A concept which can create product and services around big data which eventually can generate big revenue.  I give it a thought a long time ago but recently I started to think more about it; what If it could be done using web-scrapping techniques. In short, giving a service for your customer to generate data based on scrapping tools and technologies.

Web Scraping or Web Harvesting is a technique to extract data mainly from websites. You usually view the websites in the web browser but what If that data is parsed and saved usually on your high end databases and then analysed for deeper, summarised information. Usually you will be using the big data tools to analyse but our main topic here is not about analysing that data but how you can use a web scraper as a service for your clients and be able to give them an access to that scraped data.

Therefore, I started to create my own venture named Scrapify.me. It will cater our user’s need of getting out data from third party websites using our scraping tools. Scraping can help them in many different ways; They can create their own application/startup with pre-filled scraped data for their initial launch, It can help them in understanding the price/item comparison and monitor the changes, It can be used to analyse and study the meaningful data and so on.

Let me know through your feedback about the idea. I am very keen to look forward for your suggestions and comments.

2 comments

  1. Hi,
    I think it is a good idea, I am trying to do something similar. I think the problem is that most people are unaware of the concept of web scraping, so they do not actively seek it out as a solution. I have a similar business but I am finding it a little hard to find clients. If this is something you are interested in collaborating on, send me an email. Cheers, Simon

Leave a Reply

Your email address will not be published. Required fields are marked *

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code class="" title="" data-url=""> <del datetime=""> <em> <i> <q cite=""> <strike> <strong> <pre class="" title="" data-url=""> <span class="" title="" data-url="">