Prompt

How do I crawl sites with lots of dynamic content?

Technology / Cloud Infrastructure1 observationLast seen Oct 4, 2026

Latest observation

Oct 4, 2026OpenAI APIWeb search: off

Crawling sites with lots of dynamic content usually means handling pages where the HTML alone doesn’t contain all the data, because JavaScript loads it after the page opens.

Here are the main approaches, from simplest to most robust:

1. Prefer the underlying data/API when possible

Many “dynamic” sites actually fetch data from JSON endpoints in the background.

  • Open DevTools → Network tab
  • Reload the page
  • Look for requests returning JSON, GraphQL, XHR/fetch calls, or paginated API responses
  • If you can crawl those endpoints directly, it’s usually:
    • faster
    • more stable
    • less resource-intensive
    • easier to scale

2. Use a headless browser for JS-heavy pages

If the content is rendered only after JavaScript runs, use a browser automation tool like:

  • Playwright (recommended)
  • Selenium
  • Puppeteer

These let you:

  • wait for content to load
  • click buttons / infinite scroll
  • interact with menus, tabs, or filters
  • extract rendered DOM after JS execution

Typical pattern:

  1. Load page in headless browser
  2. Wait for a selector that indicates content is ready
  3. Scroll or click as needed
  4. Extract data from the DOM or network responses

3. Handle lazy loading and infinite scroll

For pages that load more content as you scroll:

  • Scroll incrementally
  • Wait for network activity or new elements
  • Stop when no new items appear

A common strategy is to track:

  • item count
  • page height
  • last loaded content ID

and stop when it no longer changes.

4. Respect pagination and filters

Some dynamic sites still have server-side pagination behind the UI.

  • Check whether “Next” buttons or query params exist
  • Reconstruct those URLs directly
  • Crawl each page instead of simulating endless scrolling if possible

5. Detect and bypass common rendering issues

Dynamic sites often need special handling:

  • cookie banners
  • login walls
  • modal popups
  • anti-bot challenges
  • geo/device-specific content

You may need to:

  • accept cookies
  • set user-agent / locale
  • manage sessions and cookies
  • use proxies carefully, if allowed
  • throttle requests to avoid triggering defenses

6. Extract data from network traffic when the DOM is messy

Sometimes the rendered DOM is hard to parse, but the browser’s network requests contain clean structured data.

With Playwright/Puppeteer you can listen for:

  • response bodies
  • JSON API calls
  • GraphQL payloads

This is often better than scraping visible HTML.

7. Build crawling for scale

If you need to crawl many dynamic pages:

  • cache results
  • deduplicate URLs and items
  • queue work
  • limit concurrency
  • reuse browser contexts
  • separate discovery from extraction

Headless browsers are expensive, so don’t use them for every step if simple HTTP requests will do.

8. Be polite and compliant

Dynamic sites can be sensitive to crawling load.

  • Check robots.txt and site terms
  • Rate limit requests
  • Use exponential backoff on errors
  • Identify your crawler if appropriate
  • Don’t hammer APIs or bypass access controls

Practical recommendation

A good workflow is:

  1. Inspect network calls first
  2. Use direct HTTP/API crawling if possible
  3. Fallback to Playwright/Selenium for JS rendering
  4. Handle scroll/click interactions
  5. Extract from APIs or rendered DOM
  6. Add throttling, retries, and deduplication

Tool choice

If you’re starting fresh:

  • Playwright is usually the best choice for dynamic sites
  • It’s fast, modern, and handles waiting/interactions well

If you want, I can also give you:

  • a Playwright example for infinite scroll
  • a Python scraper pattern for dynamic pages
  • a checklist for finding hidden APIs in DevTools

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.