The increasing volume of online data is hastening business adoption of data-driven decision-making strategies, and it has been estimated that data-driven companies are 19 times more likely to be profitable and 52% better at understanding their customers.

The scraping of customer reviews can be a useful source of data for e-commerce data extraction, yielding in-depth information that can enable detailed sentiment analysis and drive marketing decision-making. This can be accomplished by scraping customer reviews.

Silicon Review has included Import.io amongst its list of top 50 workplaces in 2020. You can see the full list here and read the interview with Gary Read our CEO below.

The main web data quality problem that they were facing was that their web scraping software was collecting incomplete web data from each product page more than half of the time. Different product-data field values would be missing from nearly 60% of all product records.

The growth in ecommerce is amplifying the importance of insights into how products are positioned, priced and sold online.

Product pages are ranked as one of the most important influencers in purchase decisions and customer conversion rates, so it’s essential brands optimize their product information.

Monitoring channel pricing to ensure consistency is crucial since consumers are able to identify and take advantage of pricing irregularities more quickly and easily than before. A consistent price perception is critical. Inconsistent pricing can damage a brand’s reputation, reduce shopper loyalty and ultimately sales.

The Digital Shelf spans how products are displayed, including the quality of the online content, product details, pricing and promotional information, as well as product availability i.e. if an item is in stock plus a retailer or brand’s shipping options and returns policies. All of these attributes can influence a consumer’s purchase decision and propensity to buy a product or brand.

Scraping customer reviews can be a useful source of data for e-commerce data extraction, yielding in-depth information that can enable detailed sentiment analysis and drive marketing decision-making.

Determining customer perceptions is critical in e-commerce. Data from user evaluations and comments is delivered to e-commerce sites via web scraping. Based on consumer behavior, this data may be used to improve existing products or to create customized new products. When you scrape data, you get valuable information on prices, current trends, market dynamics, conflict issues, and competitor actions.