NoBull SaaS

What does Zyte do?

Tool: Zyte

The Tech: Web Scraping

Visit site →

Their Pitch

Access the web's data. Clean, ready, and at scale.

Our Take

A web scraping that actually works on sites that block scrapers. No more 3am alerts when your bot gets banned from Amazon.

Deep Dive & Reality Check

Used For

  • +**Your BeautifulSoup scrapers fail on React sites with infinite scroll** → Zyte renders JavaScript automatically, handles the dynamic loading, gets you actual data
  • +**You're manually rotating proxies and still getting blocked after 500 requests** → Auto-switches between thousands of IPs, different countries, no more ban management
  • +**Site layout changes break your selectors every month** → AI extraction adapts to design changes, pulls product info without custom code
  • +Handles login walls and multi-step actions - clicks buttons, fills forms, scrolls to load more content
  • +Network capture grabs hidden API calls behind the scenes - gets data that never shows up in HTML

Best For

  • >Your scrapers get banned after 100 requests and you're tired of playing whack-a-mole with proxies
  • >Tracking competitor prices across 50 sites and half of them use JavaScript that breaks your scripts
  • >You need data from LinkedIn or Instagram where anti-bot measures kill everything else

Not For

  • -Solo projects scraping under 1,000 pages per month — you'll pay premium prices for anti-blocking you don't need
  • -Teams wanting full control over every request detail — this trades customization for convenience
  • -Anyone expecting cheap data extraction — JavaScript rendering and residential proxies cost 5-10x more than basic scraping

Pairs With

  • *Scrapy (Zyte provides templates and hosting for the popular Python scraping framework)
  • *Airflow (where your scraped data gets processed and moved to databases on schedule)
  • *PostgreSQL (to store all the product data, prices, and competitor info you're pulling)
  • *dbt (for cleaning and transforming the raw JSON data into something your analysts can use)
  • *Jupyter Notebooks (where data scientists explore and analyze the scraped datasets)
  • *Slack (where you get alerts when scraping jobs succeed instead of fail for once)

The Catch

  • !Browser mode costs add up fast — sites with heavy JavaScript can eat 5-10x more credits than you expect
  • !AI extraction works great for standard e-commerce but struggles with custom schemas or weird site layouts
  • !You're trading debugging time for higher monthly costs — probably worth it, but your scraping budget will 3-5x

Bottom Line

The scraper that doesn't break when websites try to block it.