Many companies don't realize that the web is a huge database that can be harvested to collect useful data. This technique is referred to as "web scraping" or "web crawling" and it is applied by many different companies to extract data from the web. For instance, it can be used to monitor automatically competitors prices and offers and be real-time updated.
Web data extraction can be used also to create a massive prospects clients list with all their contact details when publicly available. Surfing the web looking for potential clients or business partners is a very time-consuming activity, using AI we can help our clients to do it much faster and effectively.
Basically, with web data extraction techniques, we can perform any repetitive job that is done with a browser. In many companies, sales representatives spend a huge amount of time researching on the web leads from business directories and other sources. By extracting automatically all the needed information from the web we can build easy-to-use lists of prospects so that the sales staff can focus on actually selling rather than surfing the web.
Another common use case of Web Data Extraction is to build a product catalog for a new eCommerce website. When a company decides to create a new eCommerce website or to add a large number of new products to their existing website needs to collect a lot of information in a database (product name, product code, images, features, etc...). Creating a full product catalog from scratch can be done manually but it would require weeks of data entry work. With web scraping techniques we can create in few days a full product database extracting all the information of public domain from other eCommerce websites.
We always start by identifying what are your main business challenges and by understanding what is your desired outcome. It is important to take enough time to deeply analyze the business and make sure we are on the same page. In this phase, we also define which data we need to extract and from the web.
Once we have a good understanding of your business we can start planning, estimating the time and resources needed for the project. It is also important in this phase to define a clear target so we know when the project is completed. In particular, we define the website to use as a source of data and the data format to be used for the new database.
The development resources needed for a data web extraction project can vary greatly depending on the number of data points to be extracted. Simple projects that require a data extract on a one-off basis can take just a few days. If the sources' website are multiples and the data extraction has to be performed periodically, we would a longer development time.
Once we have your approval of the last draft, we deploy and deliver the web data extraction tool or directly the database in the case of the one-off extractions. If the project foresees a periodical web data extraction (ex. monitor competitor prices) we can design a dashboard so that you have easy access to the last data extraction available
Just delivering and deploying the dashboard is in most cases is not enough to solve our client's business problem. That's why we track the progress after the development of the project and we make sure that the solution we have design is used properly by our client organization.
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Dublin, Ireland
Email: info@datasensum.com
Phone: +353 857443036
Phone +39 3407500372
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