Scraping product reviews from ecommerce websites has become one of the most vital competitive intelligence activities in and around the ecommerce space. Product reviews on ecommerce websites are a great source of unbiased reviews organically left by actual consumers. This means, if you are a manufacturer trying to gather deep insights about your product, look no further than ecommerce product review pages. While the availability of product reviews on various ecommerce sites is vast and deep, not every company has the expertise, infrastructure and resources to scrape and extract reviews from ecommerce sites in an automated manner.
Luckily, PromptCloud specializes in large-scale web scraping solutions and can help you with scraping product reviews from eCommerce portals of your choice. Our fully managed service comes with end-to-end crawler management which would insulate you from the nuances of web data extraction activity and help you focus on the application of the delivered data.
Applications of eCommerce product reviews scraping
eCommerce is taking over the world by storm and there’s no scarcity of product reviews on these eCommerce portals. The main advantage to manufacturing companies is the unbiased nature of these reviews which will help them understand their consumers so as to serve them better. Here are the most popular applications of product reviews scraping.
Understand your consumer preferences
Staying up-to-date with customer preferences is crucial to successful products. If your product isn’t addressing what the consumer wants, you are leaving money on the table and contributing to customer dissatisfaction. To avoid this, understanding the demands and needs of your target customer is vital. This is where product reviews scraping can fill in by helping you listen to the customer’s voice. By extracting product reviews and analyzing it with the right goals, your business can understand the crucial factors that are driving sales in your niche and tweak the products accordingly.
Reputation or brand image is a huge factor when it comes to customer loyalty and business growth for any organization. Maintaining a positive brand image is crucial and this means your business should be all ears to the customer grievances. Brand monitoring can help you detect unaddressed issues of your customers that can escalate to bigger issues if not detected early on. Scraping reviews from eCommerce sites can help you monitor this and preserve your positive brand image.
Listening to your customers alone is just not enough to wade through this ever so competitive business world of today. Sometimes, data associated to your competitors can help you detect low hanging fruits which you can leverage before they do. For example, if reviews on your competitors products indicate the demand for a particular feature, be the first one to incorporate that to your own product. This would help you stay ahead of the curve and garner more users.
Natural language processing
Natural language processing (NLP) is all about enabling machines to understand the context behind human languages. Systems developed using NLP helps run voice assistant platforms like Siri, Google Now and Cortana, translation services and artificial intelligence systems. Huge amounts of data is a must to cater to the requirements of a NLP system. Since product reviews scraped from eCommerce sites is user-generated content, it makes for the perfect data for training Natural language processing systems.
Counterfeit products have always been a threat to brands. Not only do they affect sales figures, but also leave a bad impression among customers who may never realize the faulty product they received was in fact a fake.
Scraping product reviews helps you access this data which might have hints about some ongoing fraud. An alarming number of negative reviews are definitely worth investigating further to rule out counterfeit products being sold by the supplier. Near real-time crawls or live crawls can be performed to identify the ecommerce partners who don’t stick to the agreement.
How scraping reviews work
With our fully managed service, you don’t have to be bothered about the complexities associated with extracting product reviews.
The project starts with the requirement gathering phase where you simply have to share the specifics of your requirement such as the sites you need to scrape, frequency of crawls and the fields to be extracted.
Once we’ve established the feasibility of the project, our team will set up the crawlers and start delivering the data in your preferred format and frequency. We support data delivery in CSV, JSON and XML via Dropbox, Box, Amazon S3, FTP, API and more.
We take end-to-end ownership of the scraping aspect and deliver the data you need, the way you need it. You can submit your requirements below to get started.