Scraping via Cheerio/BeautifulSoup (HTML Parsing)

Implementation of Scraping via Cheerio/BeautifulSoup (HTML Parsing)

Static HTML parsing is the fastest and most resource-efficient way to collect data from sites that render content on the server. No browser launch, no extra memory consumption—just HTTP request and HTML parsing.

When It Works

Suitable for WordPress, 1C-Bitrix sites, classic PHP/Ruby applications where content is in HTML response without JavaScript rendering. Easy to check: open DevTools → Network → find main HTML document → look in Preview for needed data.

Cheerio (Node.js)

jQuery-compatible syntax for DOM work:

const { load } = require('cheerio');
const axios = require('axios');

const { data } = await axios.get('https://example.com/catalog', {
  headers: { 'User-Agent': 'Mozilla/5.0 ...' }
});

const $ = load(data);
const products = [];

$('.product-item').each((i, el) => {
  products.push({
    title: $(el).find('.product-title').text().trim(),
    price: parseFloat($(el).find('.price').attr('data-value')),
    sku: $(el).attr('data-sku')
  });
});

BeautifulSoup (Python)

import httpx
from bs4 import BeautifulSoup

resp = httpx.get('https://example.com/catalog', headers={'User-Agent': '...'})
soup = BeautifulSoup(resp.text, 'lxml')  # lxml faster than html.parser

products = [
    {
        'title': card.select_one('.product-title').get_text(strip=True),
        'price': card.select_one('.price')['data-value'],
    }
    for card in soup.select('.product-item')
]

lxml parser is 3–5x faster than built-in html.parser on large pages.

Timeline

Ready parser for one site with database write: 1–2 working days.