htmlparser2vsfeedparser
htmlparser2 is a Node.js library for parsing HTML and XML documents. It works by building a tree of elements, similar to the Document Object Model (DOM) in web browsers. This allows you to easily traverse and manipulate the structure of the document.
htmlparser2 is a low-level html tree parser but it can still be useful in web scraping as it's a powerful tool for HTML restructuring and serialization.
feedparser is a Python module for downloading and parsing syndicated feeds. It can handle RSS 0.90, Netscape RSS 0.91, Userland RSS 0.91, RSS 0.92, RSS 0.93, RSS 0.94, RSS 1.0, RSS 2.0, Atom 0.3, Atom 1.0, and CDF feeds. It also parses several popular extension modules, including Dublin Core and Apple’s iTunes extensions.
To use Universal Feed Parser, you will need Python 3.6 or later. Universal Feed Parser is not meant to run standalone; it is a module for you to use as part of a larger Python program.
feedparser can be used to scrape data feeds as it can download them and parse the XML structured data.
Example Use
const htmlparser = require("htmlparser2");
const parser = new htmlparser.Parser({
onopentag: (name, attribs) => {
console.log(`Opening tag: ${name}`);
},
ontext: (text) => {
console.log(`Text: ${text}`);
},
onclosetag: (name) => {
console.log(`Closing tag: ${name}`);
}
}, {decodeEntities: true});
const html = "<p>Hello, <b>world</b>!</p>";
parser.write(html);
parser.end();
import feedparser
# the feed can be loaded from a remote URL
data = feedparser.parse('http://feedparser.org/docs/examples/atom10.xml')
# local path
data = feedparser.parse('/home/user/data.xml')
# or raw string
data = feedparser.parse('<xml>...</xml>')
# the result dataset is a nested python dictionary containing feed data:
data['feed']['title']