Explore Datahut's ecommerce data resources covering product catalogs, pricing intelligence, competitor monitoring, customer reviews, inventory tracking, and market trends. Learn how web scraping and data analytics help businesses collect, analyze, and transform ecommerce data into actionable insights for pricing, merchandising, market research, and business growth.
Ecommerce Data
The COVID-19 pandemic has changed the retail landscape for businesses for good. With online shopping seeing a jump of 44% through the year 2020, eCommerce websites have never been busier. What's more? Experts say this is not a passing trend. Even with society slowly returning to normalcy, the eComme
Ecommerce Data
Investing in your business's analytics department by using the right software, hiring the right personnel, or outsourcing services is a must in today's business landscape. Here are the benefits of harnessing eCommerce marketplace data
Ecommerce Data
Small retailers can use web scraping for reputation monitoring, lead generation and so much more to make the most post-pandemic for business recovery.
Ecommerce Data
Do you often see product listings like these when you search for a product on Google?As a retailer don’t you want your product to automatically pop-up in the list of suggestions for search queries? Don’t you wish to gain higher visibility across multiple channels? How gratifying it would be to have
Ecommerce Data
According to recent data from Baymard Institute, the average documented online shopping cart abandonment rate across all industries is just under 70 percent. In other words, seven out of every ten customers will leave your website in the middle of shopping. Low conversion rates are very troubling to
Ecommerce Data
To say a lot has changed this year would be an understatement. The pandemic has globally affected consumer spending across all income brackets. Moreover, an increasing number of customers are choosing to shop online rather than shopping at brick and mortar stores. Holiday forecasts predict that 30%
Ecommerce Data
A few years back, a typical online buyer looking to buy apparel or an electronic gadget would scour the web to compare prices across websites manually. Prices of the same commodity would vary vastly, which prompted the rise of sites designed to monitor price changes in real-time.In today’s hyper-com
Ecommerce Data
A valuable change is now bubbling in this world of predatory pricing. Now, premium brands are reverting to pricing parity on both online and offline channels. The reason is simple. Businesses are trying to balance the dynamics between their online and offline stores. There are various other reasons,
Ecommerce Data
Amazon has been on the cutting edge of collecting, storing, and analyzing a large amount of data. Be it customer data, product information, data about retailers, or even information on the general market trends. Since Amazon is one of the largest e-commerce websites, a lot of analysts and firms depe
amazon
To scrape data from Amazon using Python's Scrapy framework, you'll need to set up a Scrapy project, create a spider to define your scraping logic, and handle potential anti-bot measures. This involves defining items to store the scraped data, writing parsing functions to extract specific information
Competitor Pricing
When you look at a product, you verify the quality, brand, and price. This triplet is crucial to consumer decision making and similarly to your ROI and sales. In several instances, you want to launch a product and, thus, need to determine its ideal price. In other instances, you want to reprice an e
Ecommerce Data
Pricing is actually very simple. Customers will not pay literally a penny more than the true value of the product. ~ Ron Johnson, former CEO of J. C. PenneyThe ideal price is an ever-moving target. Pinpointing the true value of a product depends on several internal and