Prompt

unhappy with browser scraping tools that fail on infinite scroll

Technology / API Platforms1 observationLast seen Oct 4, 2026

Latest observation

Oct 4, 2026OpenAI APIWeb search: off

If you’re unhappy with browser scraping tools that break on infinite scroll, the core issue is usually that they’re treating the page like a static document instead of a dynamic app.

What typically works better:

  • Use a real browser automation layer that can scroll, wait for network activity, and observe DOM changes.
  • Detect loading triggers instead of blindly scrolling:
    • scroll to bottom
    • wait for new items to appear
    • repeat until no new content loads
  • Intercept API calls when possible. Infinite scroll UIs often fetch data from JSON endpoints, which is more reliable than scraping rendered HTML.
  • Add termination logic:
    • no new items after N scrolls
    • repeated responses
    • end-of-feed marker
    • max time / max pages
  • Handle lazy loading and virtualization:
    • some pages remove old DOM nodes as you scroll
    • you may need to extract data incrementally as it appears

If you want, I can help with any of these:

  1. A robust infinite-scroll scraper design
  2. A Playwright/Puppeteer example
  3. A Python/Selenium example
  4. A way to extract the underlying API instead of scraping the UI
  5. Debugging a specific site or scraper that’s failing

If you share the site type or your current tool, I can suggest a more reliable approach.

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 Circuit. 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.

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