Prompt

I'm building a crawler for thousands of pages, what scraping platform is reliable?

Technology / API Platforms1 observationLast seen Oct 4, 2026

Latest observation

Oct 4, 2026OpenAI APIWeb search: off

For crawling thousands of pages, the most reliable choice is usually one of these, depending on what you need:

Best overall reliability

Apify

  • Good for large-scale crawling
  • Built-in scheduling, proxies, retries, queues
  • Solid for both static and JS-heavy pages
  • Easier than running everything yourself

Best if you want more control / enterprise

Bright Data

  • Very strong proxy network and anti-bot tools
  • Reliable for difficult sites
  • More expensive and more complex
  • Best when you need high success rates on blocked sites

Best open-source / self-managed

Scrapy + Playwright

  • Very reliable if you can operate your own stack
  • Scrapy handles scale well
  • Playwright covers dynamic pages
  • Lowest vendor lock-in, but you manage infra, retries, rotation, monitoring

Best for browser automation at scale

Browserless or Playwright on your own workers

  • Useful for JS-rendered sites
  • Good if you need actual browser behavior
  • More operational work than API-based scraping platforms

My practical recommendation

  • If you want fast setup and reliability: Apify
  • If you want hard-target scraping: Bright Data
  • If you want long-term control and lower cost: Scrapy + Playwright

What to look for in a platform

  • Retry logic and backoff
  • Proxy rotation
  • CAPTCHA handling
  • Job queues and concurrency controls
  • Monitoring/logs
  • Export formats and webhooks
  • Rate limiting and respect for robots/ToS

If you want, I can also give you:

  1. a ranked comparison table of 5–10 platforms, or
  2. a recommended stack based on whether your pages are static, JS-heavy, or anti-bot protected.

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.

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