Hidden Myths of Web Harvesting
Marketing

The Hidden Myths of Web Harvesting/data scraping In 2019

Do you know, what is Web Scraping? If not, then take brief information about Web harvesting (data scraping). Web Harvesting is also known as Web Scraping is software that uses the Hypertext Transfer Protocol or a web browser to access the World Wide Web directly. Web scraping can be done manually by a software user, typically using a bot or web crawler, the term refers to automated processes that are implemented. You can use appvalley to get free all paid app on your mobile.

It is a type of copying in which particular information is collected and copied from the internet, typically for subsequent retrieval or analysis into a core local database or spreadsheet.

List of Myths of Web Scraping or Web Harvesting

1#. Web scraping is the same as web crawling:

  • Web scraping includes extracting particular information on a targeted website, such as extracting information on sales leads, listing real estate and pricing products.
  • Web crawling, on the other hand, is what search engines do.
  • In addition to its internal links, it scans and indexes the entire website.
  • Without a specific objective, the Crawler navigates through the web pages.

2#. You must understand how to code:

  • Also known as a data extraction tool, a web scraping tool is handy for non-tech professionals such as marketers, statisticians, financial consultants, bitcoin investors, researchers, journalists, etc.
  • Octoparse introduced a one-of-a-kind and features like web scraping templates that are preformatted scrapers covering more than 14 categories on more than 30 websites including Face book, Twitter, Amazon, eBay, Instagram, and more.
  • All you need to do is enter the parameter keywords / URLs without any complex task configuration.
  • It has the time-consuming web scraping with Python.
  • On the other hand, an effective and convenient web scraping model captures the information you need.

3#. A scraper on the internet is versatile:

  • If you have experienced websites that change their layout or structure once in a while, then data scraping is easy to understand for you.
  • Do not be frustrated if you find such a website that your scraper will not read for the second time.
  • It’s not necessarily triggered by identifying you as a suspicious bot; there are many reasons.
  • It can also be triggered by various geo-locations or access to the device.
  • Before we set the adjustment, it is normal for a web scraper not to parse the website.

4#. The web scraping and the API are the same:

  • The API is like a channel for sending your request for information to a web server and receiving the required information.
  • The API will return the information via the HTTP protocol in JSON format — Facebook API, Twitter API, Instagram API, for instance.
  • It doesn’t mean that you can get the information you’ve requested.
  • Web scraping can view the process as it enables you to communicate with the websites.
  • Octoparse has templates for internet scraping.
  • Extracting information by filling the parameters with keywords / URLs is even more convenient for non-tech experts.

5#. Only in a company can web scraping be used:

  • Web scraping is commonly used in different areas.
  • Besides, it generation lead to price surveillance, price tracking, company market analysis.
  • Students can also use a web scraping model from a Google scholar to perform paper studies.
  • Realtors can perform studies on housing and predict the housing market.
  • You can discover YouTube influencers or Twitter evangelists to support your brand, or your aggregation of news covering the only subjects you want by scrapping news media and RSS feeds.

Final Words:

In this article, we discussed Web Scraping/Web Harvesting hidden myths. We provide you the information for our point of view. If you agree or disagree with us, then share in the comment box. We will discuss in details with our other viewers. If you have any query, don’t hesitate to ask because as much you asked a question the better way we convey our research information through articles.

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