Web Scraping is a very wide topic and almost a separate profession. It is especially a valuable tool for SEO specialists, data scientists, analysts and many others. Due to this there are tons of tools out there. Trying to find the right one can be a real nightmare. For those that don’t have the time I dedicate this overview:
Ranking of Web Scraping tools/libraries (ease of use)
You need not be an expert coder to start extracting the data you need from websites! Web Scraping is a well known subject and there have been many tools adopted to make it easier to scrape html content. The tools below do not require any coding experience.
Excel Power Query (From Web)
Easy and quick to use
Limited to HTML tables
Available only in Excel 2010 and above (previous version have the less useful “Data->From Web” feature”)
With so many programming languages there must be multiple available web scraping libraries out there. He you can find a short list of the most popular web scraping libraries associated with each programming language.
Web Scraping Libraries
.NET (e.g. C#)
Html Agility Pack
Jericho HTML Parser
Web Scraping Tools for Data Scientists
Are you a data scientist looking for the best tools out there for Web Scraping? Currently in data scientist communities (e.g. Kaggle) Python and R are the most regarded programming languages out there. Therefore find below a short list of libraries to consider for both: