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How Automated Web Data Mining Help Different Industries

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Web data mining services involve the process of extracting data from the websites to achieve the specific type of business objectives. To perform web data scraping there are different ways, but most of them are manual. The manual approach takes a lot of time and its execution is complex. In this new era, the automated data mining is replacing the earlier methods of web data mining services and has transformed it into a less effort and time-saving process for different industries.


Today, web data scraping is carried out by using software or through the writing of codes. This software is being installed on the targeted computer. Or one could hire a developer to build data extraction software to meet the desired requirements.  Technologies like Scrapy, Node.js, Selenium, Wget are widely used for web data scraping.

Below we provide the top industries where automated web data mining services are being helpful

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In the e-commerce industry getting access to the information related to the competitors would help them to grow. Automated data mining would help to get the information at a faster rate. After proper analysis, the e-commerce industry could use it for their business strategies, forecasting the future demands, and helps to discover better industry practices. Apart from the competitor analysis, automation helps in better product launch, communication with suppliers, communication-based on the purchase behavior of the customer,  and handling of abandoned cart-based email sequences.

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Real estate industries make use of the automated data mining to collect information related to customer profiles, phone numbers, e-mail addresses, and more. The web data crawling process for the real estate industry crawles up the details related to mortgage and foreclosure records, property pictures, agent details, etc.

The retail industry gets the benefits in the form as below:

  • Helps to determine competitive pricing of the properties through web data crawling approach.
  • Achieve a working knowledge of the plots, agents, property listings,
  • Use collection strategies and analyzing approaches on the data to know the trends.
  • Deliver the market value, buyer and seller details, and agent information.

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The logistics industry requires enterprise data from the operational systems, traffic and weather data, forecasting of financial business, social media data, website browsing data, and advertising response data. By the proper use of web data crawling the above information could be achieved quickly. Thereby, making the last step of shipping fast, achieving better transparency to customers, carriers and shippers, optimizing the routes, better shipping of goods with high quality, and finally better way of handling the warehouse and supply chain management.

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Today, different social sites are allowing automated web data mining services to extract the data through their Application Programming Interface to get information about the users and their social activities.

Automated web data mining services could handle out:

  • data from Twitter, Facebook, and other social media accounts at a faster rate.
  • Brand monitoring, and conducting competitor and sentiment analysis to know about the competitors and the opinions of the customers respectively.
  • Extraction of data based on keywords, geographies, languages, and categories.
  • Also, provide the data in the required formats like CSV, XML, etc.


Automated web data mining would help the industries in gaining the right data thereby helping in their core operations.  Apart from the above industries, telecommunication, automobile, and healthcare industries could get the best out of it.

NexGen Data Entry provides outsourcing services like web research for data collection, data entry, data conversion, document scanning and indexing, mortgage, and foreclosure. To join hands with us and to handle your projects mail us at [email protected]


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