Niche Keyword List – The Ultimate Scraping List
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Ever since machine learning and data science took the world by storm, researchers and businesses alike are on the lookout for more data and the hunt for data is on from unconventional data sources like the Internet.
Being an extremely curious data scientist or an entrepreneur high on innovation, you don’t want to lose out on the growth opportunities lying untapped in the public web. Here’s where the art of web scraping comes to your rescue in mining super-cool insights with bright business returns.
Now that the usefulness of web scraping is accepted beyond doubt, how should you go about scraping data and more importantly what’s the best web scraping tool that could get your job done?
So first, pick the right web scraping approach
The purpose and resources you have in hand best determine the approach you take for a scraping project. Web scraping as we have seen it evolve in the past 2 decades, is majorly done in the following ways –
- Build your very own scraper from scratch – This is for code-savvy folks who love experimenting with site layouts and tackle blockage problems and are well-versed in any programming language like Python, R or Perl. Just like their routine programming for any data science project, a student or researcher can easily build their scraping solution with open-source frameworks like Python-based Scrapy or the rvest package, RCrawler in R.
- Developer-friendly tools to host efficient scrapers – Web scraping tools suitable for developers mostly, where they can construct custom scraping agents with programming logic in a visual manner. You can equate these tools to the Eclipse IDE for Java EE applications. Provisions to rotate IPs, host agents, and parse data are available in this range for personalization.
- DIY Point-and-click web scraping tools for the no-coders – To the self-confessed non-techie with no coding knowledge, there’s a bunch of visually appealing point and click tools that help you build sales list or populate product information for your catalog with zero manual scripting.
- Outsourcing the entire web scraping project – For enterprises that look for extensively scaled scraping or time-pressed projects where you don’t have a team of developers to put together a scraping solution, web scraping services come to the rescue.
If you are going with the tools, then here are the advantages and drawbacks of popular web scraping tools that fall in the 2nd and 3rd category.
DIY point-and-click web scraping tools for the no-coders
Truly a killer in the DIY tools category, Import.io provides a way for anyone with a web data need to extract information with a very user-friendly, intuitive, and interactive interface. The cloud-based scraping platform can structure data found behind images, login screen and hundreds of web pages with absolutely no coding. Monitoring website changes and the ability to integrate with a number of reporting tools and apps make it a great option for enterprises with a pressing scraping need.
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