From c3d7bddf3d6c0fa8781f7a0e64389abc20e6892a Mon Sep 17 00:00:00 2001 From: sirMackk Date: Mon, 31 Dec 2012 10:31:08 -0500 Subject: [PATCH] Third, final markup fixes. --- docs/scenarios/scrape.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/scenarios/scrape.rst b/docs/scenarios/scrape.rst index b2bd070..8fe6e03 100644 --- a/docs/scenarios/scrape.rst +++ b/docs/scenarios/scrape.rst @@ -8,7 +8,7 @@ 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, but this isn't always easy. It's not often that web sites provide their data in comfortable formats - such as ``.csv``. +such as ``.csv``. This is where web scraping comes in. Web scraping is the practice of using computer program to sift through a web page and gather the data that you need @@ -19,7 +19,7 @@ lxml `lxml `_ is a pretty extensive library written for parsing XML and HTML documents, which you can easily install using ``pip``. We will -be using its `html` module to get data from this web page: `econpy `_ . +be using its ``html`` module to get example data from this web page: `econpy.org `_ . First we shall import the required modules: