Why is Data Scraping Important for Marketers?
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Why is Data Scraping Important for Marketers?

By CIOReview | Wednesday, November 24, 2021

Fremont, CA

The process of importing information from a website into a spreadsheet or a local file saved on your computer is known as data scraping, also known as web scraping. It's one of the most effective ways to collect information from the web and, in some situations, to send that information to another website. Data scraping is useful in almost every situation where information is needed.

Marketers use data scraping to:

Gather disparate data

One of the significant advantages of data scraping is that it may help businesses gather disparate data into one location.  Crawling allows to collect unstructured, scattered data from numerous sources in one location and organizing it. Organizations can integrate several websites controlled by separate entities into a single feed if they have many websites controlled by different entities.

Accelerate research

The most basic application of data scraping is obtaining information from a single source. Suppose the organization comes across a web page with a lot of data that they think would be beneficial to them. In that case, data scraping is probably the quickest way to obtain that data onto their computer in a logical fashion.

Publish an XML feed to a third-party website

A prominent application of data scraping for e-commerce is feeding product data from the organization’s site to Google Shopping and other third-party vendors. It enables them to automate the time-consuming process of updating their product details, which is critical if their stock fluctuates frequently. Their XML feed can be generated via data scraping.

Future of Data Scraping

Whether or not a company plans to employ data scraping in their work, it's a good idea to educate yourself on the issue because it's only going to get more relevant in the coming years. There are now data scraping AI systems on the market that employ machine learning to improve their recognition of inputs that only humans have traditionally been able to analyze - such as photographs. For digital marketers, significant advancements in data scraping from photos and videos will have far-reaching implications.