#WEBCRAWLER VS WEBSCRAPER HOW TO#
#WEBCRAWLER VS WEBSCRAPER FOR ANDROID#

One needs a parser which can create a nested/tree structure of the HTML data. Since most of the HTML data is nested, we cannot extract data simply through string processing.

Once we have accessed the HTML content, we are left with the task of parsing the data.

For this task, we will use a third-party HTTP library for python-requests.

The server responds to the request by returning the HTML content of the webpage.

Send an HTTP request to the URL of the webpage you want to access.

This article discusses the steps involved in web scraping using the implementation of a Web Scraping framework of Python called Beautiful Soup. This technique is called web scraping or web harvesting or web data extraction.

Access the HTML of the webpage and extract useful information/data from it.

For example, Facebook has the Facebook Graph API which allows retrieval of data posted on Facebook.

Use the API of the website (if it exists).

There are mainly two ways to extract data from a website:

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#WEBCRAWLER VS WEBSCRAPER FOR ANDROID#

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#WEBCRAWLER VS WEBSCRAPER HOW TO#

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Webcrawler vs webscraper