Zyte dynamic site crawling

If you mean how to crawl dynamic websites with Zyte, the usual approach is to use Zyte API / Zyte Smart Proxy Manager with a browser rendering mode, then extract the content from the rendered page.

Main options

1) Zyte API with browser rendering

Best for sites that rely on:

• JavaScript-rendered content
• infinite scroll
• clicks/tabs
• anti-bot protections

Typical flow:

1. Send the URL to Zyte API
2. Request a rendered page
3. Parse HTML / data from the response
4. Repeat for pagination or interactions

Example idea:

import requests

api_url = "https://api.zyte.com/v1/extract"
headers = {
    "Authorization": "Basic YOUR_API_KEY",
    "Content-Type": "application/json",
}

payload = {
    "url": "https://example.com",
    "browserHtml": True
}

r = requests.post(api_url, headers=headers, json=payload)
print(r.json())

2) Zyte Smart Proxy Manager with Scrapy

If you use Scrapy, Zyte can be integrated to handle:

• rotating proxies
• bans
• fingerprints
• browser rendering through Zyte services

Typical setup:

• install Zyte integration
• configure proxy endpoint and credentials
• enable render if needed
• crawl like a normal Scrapy spider

3) Interact with dynamic content

For pages requiring clicks, scrolling, or waiting:

• use browser automation via Zyte’s browser-based features
• wait for network idle or specific elements
• scroll to trigger lazy loading
• click “Load more” buttons

Common scraping pattern

For a dynamic product listing:

• request rendered category page
• extract product URLs
• visit each product page with rendering if needed
• collect structured data

Tips

• Prefer API extraction when possible; it’s simpler and more stable.
• Use browser rendering only when HTML alone is insufficient.
• Cache results if pages don’t change often.
• Respect robots.txt, site terms, and legal requirements.

If you want, I can give you:

1. a Zyte + Scrapy example spider,
2. a plain Python requests example, or
3. an example for infinite scroll / clicking “Load more”.