Imagine you need to scrape a competitor's product catalog, but Selenium loads each page in 30 seconds and consumes 200 MB of memory. We solve this in a fraction of a second—static HTML parsing without a browser. Just an HTTP request and parsing the returned HTML. No extra resources, no waiting. One HTTP request and the HTML document is ready to parse.
We use Cheerio (Node.js) and BeautifulSoup (Python)—proven tools on which we've built over 50 projects. We guarantee the parser works after delivery and provide one month of support. We evaluate your project for free in 1-2 days.
When It Works
Static parsing works on WordPress, 1C-Bitrix, and classic PHP/Ruby applications where content is present in the server's HTML response without JavaScript rendering. To check: open DevTools → Network → find the main HTML document → look in Preview for the needed data. If present, static parsing works. For dynamic sites with JS rendering, a browser parser is needed—we combine approaches.
Problems We Solve
Typical scraping challenges:
- N+1 queries when extracting data from detail pages. We use pagination and parallel requests with concurrency limits.
- Anti-bot protection (Cloudflare, reCAPTCHA). We combine static parsing with browser-based bypass when needed.
- Large data volumes—scraping tens of thousands of pages. We use queues (Bull, Celery) and distributed workers. We process up to 1000 pages in 10 minutes without blocking.
How We Do It
Case study: scraping a 1C-Bitrix e-commerce catalog.
We needed to extract 15,000 products with SKUs, prices, stock, and images. We used Cheerio + axios with User-Agent rotation and a 500ms delay between requests. Each product was in a div.product-item with a data-id attribute. Data was written to PostgreSQL via batch inserts of 100 records. The entire scraping took 2 days, including CI/CD setup for daily updates. Using the Cheerio API, we extract data by selectors.
Example Cheerio parser code
const axios = require('axios'); const cheerio = require('cheerio'); async function parseCatalog(url) { const { data } = await axios.get(url, { headers: { 'User-Agent': 'Mozilla/5.0' } }); const $ = cheerio.load(data); const items = []; $('.product-item').each((i, el) => { items.push({ id: $(el).attr('data-id'), name: $(el).find('.name').text(), price: $(el).find('.price').text() }); }); return items; } How to Choose Between Cheerio and BeautifulSoup?
| Criterion | Cheerio (Node.js) | BeautifulSoup (Python) |
|---|---|---|
| Language | JavaScript/TypeScript | Python |
| Parse speed | High (jQuery-like engine) | Medium (lxml is 3-5x faster) |
| Syntax | jQuery selectors | CSS selectors, .find() methods |
| Ecosystem | axios, puppeteer for hybrid | httpx, requests, Selenium |
| When to use | Node.js projects, microservices | Analytics, ML, Jupyter |
For simple data collection from one site, choose the language your team prefers. For high-load systems, Cheerio is preferred due to async handling.
Why Static Parsing Is Faster Than Browser Parsing
A browser parser (Puppeteer, Playwright) launches a full browser, renders JavaScript, loads styles and scripts. This increases page load time by 5-10x and memory consumption by 200-500 MB per instance. Static parsing does only an HTTP request and parses HTML—speed measured in milliseconds. On 1000 pages, the difference can be hours vs days.
| Parameter | Static Parsing | Browser Parsing |
|---|---|---|
| Speed | 100-500 ms per page | 2-10 seconds per page |
| Memory | ~50 MB | 200-500 MB |
| JS support | None | Full |
| Blocking bypass complexity | Lower | Higher |
| Ideal for | WordPress, Bitrix, catalogs | SPAs, dynamic interfaces |
Our Process
- Analysis — study website structure, identify data sources, check for anti-bot protection.
- Design — select tool (Cheerio/BeautifulSoup), design data schema, plan pagination.
- Implementation — write parser with error handling, retries, logging.
- Testing — run on test sample, verify completeness and correctness.
- Deployment — deploy on server (Docker, cron jobs), set up monitoring.
What's Included
- Parser code with comments and error handling.
- Documentation for running and supported selectors.
- Setup for automatic data updates (scheduled).
- 1 month of support after delivery (bug fixes, adaptation to site changes).
Estimated Timelines
- Simple parser (one site, few fields) — from 1 business day, costing approximately $200–$500.
- Medium (pagination, multiple pages, authentication) — 2-4 days, costing $500–$1000.
- Complex (anti-bot, bypass, database integration) — up to 5 days, costing $1000–$2000.
Cost is calculated individually after analyzing the target site. Order a turnkey parser and get a consultation within an hour. Contact us via Telegram or through our contact form. Saving time on scraping can reach 90% compared to manual collection.
Over 5 years of experience in web scraping, more than 50 projects delivered. We guarantee the parser works after delivery.