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58.1 thousand (month) Feb 07 2019 v1.3.0(1 year, 2 months ago)
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htmlquery is a Go library that allows you to parse and extract data from HTML documents using XPath expressions. It provides a simple and intuitive API for traversing and querying the HTML tree structure, and it is built on top of the popular Goquery library.

xmltodict is a Python library that allows you to work with XML data as if it were JSON. It allows you to parse XML documents and convert them to dictionaries, which can then be easily manipulated using standard dictionary operations.

You can also use the library to convert a dictionary back into an XML document. xmltodict is built on top of the popular lxml library and provides a simple, intuitive API for working with XML data.

Note that despite using lxml conversion speeds can be quite slow for large XML documents and in web scraping this should be used to parse specific snippets instead of whole HTML documents.

xmltodict pairs well with JSON parsing tools like jmespath or jsonpath. Alternatively, it can be used in reverse mode to parse JSON documents using HTML parsing tools like CSS selectors and XPath.

It can be installed via pip by running pip install xmltodict command.

Example Use

package main

import (


func main() {
  // Parse the HTML string
  doc, err := htmlquery.Parse([]byte(`
        <h1>Hello, World!</h1>
          <li>Item 1</li>
          <li>Item 2</li>
          <li>Item 3</li>
  if err != nil {

  // Extract the text of the first <h1> element
  h1 := htmlquery.FindOne(doc, "//h1")
  fmt.Println(htmlquery.InnerText(h1)) // "Hello, World!"

  // Extract the text of all <li> elements
  lis := htmlquery.Find(doc, "//li")
  for _, li := range lis {
  // "Item 1"
  // "Item 2"
  // "Item 3"
import xmltodict

xml_string = """
    <title>The Great Gatsby</title>
    <author>F. Scott Fitzgerald</author>
    <publisher>Charles Scribner's Sons</publisher>

book_dict = xmltodict.parse(xml_string)
{'book': {'title': 'The Great Gatsby',
'author': 'F. Scott Fitzgerald',
'publisher': "Charles Scribner's Sons",
'publication_date': '1925'}}

# and to reverse:
book_xml = xmltodict.unparse(book_dict)

# the xml can be loaded and parsed using parsel or beautifulsoup:
from parsel import Selector
sel = Selector(book_xml)

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