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Web scraping, also called web data mining or web harvesting, is the process of constructing an agent which can extract, parse, download and organize useful information from the web automatically. In other words, we can say that instead of manually saving the data from websites, the web scraping software will automatically load and extract data from multiple websites as per our requirement.

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A very necessary component of web scraper, web crawler module, is used to navigate the target website by making HTTP or HTTPS request to the URLs. The crawler downloads the unstructured data (HTML contents) and passes it to extractor, the next module.

Python distribution is available for platforms like Windows, MAC and Unix/Linux. We need to download only the binary code applicable for our platform to install Python. But in case if the binary code for our platform is not available, we must have a C compiler so that source code can be compiled manually.

Web scraping is the process of constructing an agent which can extract, parse, download and organize useful information from the web automatically. In other words, instead of manually saving the data from websites, the web scraping software will automatically load and extract data from multiple websites as per our requirement.

Generally, if you are going to use the scraped data for personal use, then there may not be any problem. But if you are going to republish that data, then before doing the same you should make download request to the owner or do some background research about policies as well about the data you are going to scrape.

Is the size of a website, i.e. the number of web pages of a website affects the way we crawl? Certainly yes. Because if we have less number of web pages to crawl, then the efficiency would not be a serious issue, but suppose if our website has millions of web pages, for example Microsoft.com, then downloading each web page sequentially would take several months and then efficiency would be a serious concern.

The web media content that we obtain during scraping can be images, audio and video files, in the form of non-web pages as well as data files. But, can we trust the downloaded data especially on the extension of data we are going to download and store in our computer memory? This makes it essential to know about the type of data we are going to store locally.

In this section, we are going to learn how we can download media content which correctly represents the media type based on the information from web server. We can do it with the help of Python requests module as we did in previous chapter.

After downloading the content from web site, we also want to save it in a file with a file name found in the URL. But we can also check, if numbers of additional fragments exist in URL too. For this, we need to find the actual filename from the URL.

Suppose we have downloaded videos from website and wanted to generate thumbnails for them so that a specific video, based on its thumbnail, can be clicked. For generating thumbnail for videos we need a simple tool called ffmpeg which can be downloaded from www.ffmpeg.org. After downloading, we need to install it as per the specifications of our OS.

You can check from the above output that all the information except recpatcha_response_field are understandable and straightforward. Now the question arises that how we can handle this complex information and download CAPTCHA. It can be done with the help of pillow Python library as follows;

Now we will show you how to copy and paste a Word document into a Google Doc. For instance, you have edited material and want to re-download it. So, select the entire contents of the file using the keyboard shortcut Ctrl + A and copy to the clipboard using Ctrl + C. Open Google Docs and click on the Create Document tab. Then, using the Ctrl + V combination, paste all the content into the file. All changes will automatically be saved in the system.

We also reviewed simple ways to extract images without downloading and installing additional software. For example, to download an image from Google Docs or Word, you need to publish the page on the Internet, save it as a web version, or change the file extension.

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