Page parsing data extraction Python crawler

Chen Python 2020-11-16 20:32:14
page parsing data extraction python


Generally speaking, for us , What you need to capture is the content of a website or an application , Extract useful value , The content is generally divided into two parts , Unstructured text , Or structured text .

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About structured data

JSON、XML、HTML

HTML Text ( contain JavaScript Code ) Is the most common data format , It should be a structured text organization , But because the key information we need is not directly available

It needs to be right HTML Resolution lookup for , Even some string operations can get , So it's still classified as unstructured data processing .

Compare a web page to a person , that HTML It's his skeleton ,JS It's his muscles ,CSS It's the clothes .

Common parsing methods are as follows :XPath、CSS Selectors 、 Regular expressions

HTML DOM Example

HTML DOM Defines access and operations HTML Standard approach to documentation .

DOM Express in tree structure HTML file .

Text data

For example, an article , Or in a word , Our original intention is to extract valid information , So if it's lag processing , Can store directly , If you need to extract useful information in real time , The common ways to deal with it are as follows :

  • The participle is based on the type of website crawled , The use of thesaurus is different , Do the basic participle ,  And then it becomes word frequency statistics , It's like the representation of a vector , Words as direction , Word frequency is length .
  • NLP natural language processing , Do semantic analysis , Express in terms of results , For example, the positive and negative sides, etc .
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