How to make a site Perser on Python

Learn how to create a web scraper in Python with an example. Quickly and easily extract data from any website.

Creating a Perser with Python

Creating a perser with Python is a relatively simple process. Python provides a number of libraries and tools that make it easier to construct parsers. The most commonly used library for this purpose is the pyparsing library.

To create a perser with Python, first, you will need to define the grammar you will use to parse the text. A parser grammar defines the syntax of the language you are trying to parse. A grammar typically consists of production rules, which define the structure of the language. Each rule consists of a left-hand side, which is a non-terminal symbol, and a right-hand side, which is a sequence of terminal and non-terminal symbols. The parser uses these production rules to create a parse tree, which is a representation of the parsed text.

Once you have defined your parser grammar, you will need to create a parser object. This object can be created using the ParserElement class from the pyparsing library. This class provides methods for defining the grammar and for creating a parser object. Once the parser object has been created, you can use it to parse the text.

To use the parser to parse the text, you will need to call the parseString() method. This method takes a string as an argument and returns a parse tree. The parse tree can then be used to create an abstract syntax tree, which is a representation of the structure of the text.

Finally, you can use the abstract syntax tree to create the output you need from the parsed text. This could be a list of tokens, a list of objects, or other data structures. In addition, you can use the abstract syntax tree to generate code, such as HTML or JavaScript, from the parsed text.


// Create a ParserElement object
from pyparsing import ParserElement
parser = ParserElement()

// Define the parser grammar
parser.defineGrammar(
    '<start> ::= <statement>+',
    '<statement> ::= <keyword> <expression>'
)

// Parse the text
parseTree = parser.parseString('keyword expression')

// Generate an abstract syntax tree
ast = parseTree.asList()

// Generate the output
output = generateOutput(ast)

In summary, creating a parser with Python is relatively straightforward. With the help of the pyparsing library, you can define a parser grammar, create a parser object, and use it to parse the text. You can then use the parse tree to generate an abstract syntax tree and use that to generate the output you need from the parsed text.

Answers (0)