How do I run a scraper in Python?

What is Python scraping?

Your first example of using a regex is correct, but you need to use re.findall to return the list of items in the string. You should also make sure you are returning the correct match from your regex, because otherwise you will only get the first match, and you can't know if that match is part of the target string.

Import re. MyString = '''Dell Vostro 5560. Processor Intel Core i5-3470 CPU @ 3.20GHz Memory 16.0 GB Hard disk space 160.0 GB Display 15.6''' pattern = re.20GHz', u'Memory', u'16.0', u'GB', u'Hard', u'disk', u'space', u'160.0', u'GB', u'Display', u'15.

Can Python scrape any website?

Yes. Can it scrape your site's pages, get the data on each page, store the data, and generate reports? Yes, all without writing a line of code (but you might have to write a bit of Python).

The Scrapy framework allows you to create spiders for very different tasks: from crawling your own site, parsing its pages, scraping external links, or any other imaginable tasks. This tutorial will cover the basic aspects of using Scrapy, an open-source project you can download and install from Python's official website (the same place you'll find the latest Python version). When finished, you'll have a very good foundation for the basics of web scraping, be able to create your own spiders from existing ones, scrape a site, as well as read and manipulate their content. You'll also use Scrapy to fetch news and get information about an online sports league, and it will even make a chart with that data. If you want to learn more about scraping online data and how to use tools like Scrapy, check out my previous tutorials: Introduction to Python, Web Development Basics, HTML, and CSS. In this tutorial, I'll use Scrapy to create a list of every NBA player and the teams they represent (the players might not always represent the same team in a given season, depending on when they were drafted). The result is an interactive table that can be used by anyone to know a little more about the NBA, the people who play in it, and the players themselves.

Before starting, make sure that you have Python installed and configured correctly. You can download and install it through Python's website here.

Next, I'll start by adding the latest Scrapy version to my virtual environment, which we will need to have in order to use it properly. Run the following commands to do that: First, launch a Python interpreter from your terminal (in your case, I'm using a terminal in my Macbook). To be able to work with Scrapy on a Mac, make sure you have the latest version of Anaconda. Open a terminal window and execute the following commands: For me, the latest version of Scrapy is 1.4.