Grammar fix, got rid of DOS line endings

docs/scenarios/scrape.rst

@@ -6,8 +6,8 @@ Web Scraping
 
 Web sites are written using HTML, which means that each web page is a
 structured document. Sometimes it would be great to obtain some data from
-them and preserve the structure while we're at it. Web sites provide 
+them and preserve the structure while we're at it. Web sites don't always
-don't always provide their data in comfortable formats such as ``.csv``. 
+provide their data in comfortable formats such as ``csv`` or ``json``.
 
 This is where web scraping comes in. Web scraping is the practice of using a
 computer program to sift through a web page and gather the data that you need
@@ -19,9 +19,10 @@ lxml and Requests
 
 `lxml <http://lxml.de/>`_ is a pretty extensive library written for parsing
 XML and HTML documents really fast. It even handles messed up tags. We will
-also be using the `Requests <http://docs.python-requests.org/en/latest/>`_ module instead of the already built-in urlib2 
+also be using the `Requests <http://docs.python-requests.org/en/latest/>`_
-due to improvements in speed and readability. You can easily install both 
+module instead of the already built-in urlib2 due to improvements in speed and
-using ``pip install lxml`` and ``pip install requests``.
+readability. You can easily install both using ``pip install lxml`` and
+``pip install requests``.
 
 Lets start with the imports:
 
@@ -43,12 +44,13 @@ we can go over two different ways: XPath and CSSSelect. In this example, I
 will focus on the former.
 
 XPath is a way of locating information in structured documents such as
-HTML or XML documents. A good introduction to XPath is on `W3Schools <http://www.w3schools.com/xpath/default.asp>`_ .
+HTML or XML documents. A good introduction to XPath is on
+`W3Schools <http://www.w3schools.com/xpath/default.asp>`_ .
 
 There are also various tools for obtaining the XPath of elements such as
-FireBug for Firefox or if you're using Chrome you can right click an 
+FireBug for Firefox or the Chrome Inspector. If you're using Chrome, you
-element, choose 'Inspect element', highlight the code and then right 
+can right click an element, choose 'Inspect element', highlight the code,
-click again and choose 'Copy XPath'.
+right click again and choose 'Copy XPath'.
 
 After a quick analysis, we see that in our page the data is contained in
 two elements - one is a div with title 'buyer-name' and the other is a
@@ -92,7 +94,7 @@ Lets see what we got exactly:
 Congratulations! We have successfully scraped all the data we wanted from
 a web page using lxml and Requests. We have it stored in memory as two
 lists. Now we can do all sorts of cool stuff with it: we can analyze it
-using Python or we can save it a file and share it with the world.
+using Python or we can save it to a file and share it with the world.
 
 A cool idea to think about is modifying this script to iterate through
 the rest of the pages of this example dataset or rewriting this