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htmlqueryvschompjs

MIT 8 1 701
58.1 thousand (month) Feb 07 2019 v1.3.1(a month ago)
178 1 4 MIT
Jul 30 2007 20.9 thousand (month) 1.2.3(3 months ago)

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.

chompjs can be used in web scrapping for turning JavaScript objects embedded in pages into valid Python dictionaries.

In web scraping this is particularly useful for parsing Javascript variables like:

import chompjs
js = """
  var myObj = {
    myMethod: function(params) {
    // ...
    },
    myValue: 100
  }
"""
chompjs.parse_js_object(js, json_params={'strict': False})
{'myMethod': 'function(params) {\n        // ...\n    }', 'myValue': 100}

In practice this can be used to extract hidden JSON data like data from <script id=__NEXT_DATA__> elements from nextjs (and similar) websites. Unlike json.loads command chompjs can ingest json documents that contain javascript natives like functions making it a super easy way to scrape hidden web data objects.

Example Use


package main

import (
  "fmt"
  "log"

  "github.com/antchfx/htmlquery"
)

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

  // 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 {
    fmt.Println(htmlquery.InnerText(li))
  }
  // "Item 1"
  // "Item 2"
  // "Item 3"
}
# basic use
import chompjs
js = """
  var myObj = {
    myMethod: function(params) {
    // ...
    },
    myValue: 100
  }
"""
chompjs.parse_js_object(js, json_params={'strict': False})
{'myMethod': 'function(params) {\n        // ...\n    }', 'myValue': 100}

# example how to use with hidden data parsing:
import httpx
import chompjs
from parsel import Selector

response = httpx.get("http://example.com")
hidden_script = Selector(response.text).css("script#__NEXT_DATA__::text").get()
data = chompjs.parse_js_object(hidden_script)
print(data['props'])

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