Prompt

Why am I getting blocked when scraping product pages at scale?

Technology / API Platforms1 observationLast seen Oct 4, 2026

Latest observation

Oct 4, 2026OpenAI APIWeb search: off

You’re usually getting blocked because the target site sees your scraping as bot-like, high-risk, or abusive traffic. At scale, even “normal” page requests can trigger defenses.

Common reasons:

  • Too many requests too fast
    High request rates, no pacing, or bursts from the same IP/session are easy to flag.

  • Predictable behavior
    Scraping pages in a strict sequence, using identical headers, same timing, same navigation pattern, or never loading assets can look automated.

  • IP reputation or concentration
    Many requests from one IP, one cloud provider, or a datacenter range often gets blocked faster than residential traffic.

  • Missing browser signals
    Sites may expect cookies, JavaScript execution, modern headers, and asset loading. Raw HTTP clients can stand out.

  • Fingerprinting and bot detection
    Sites inspect TLS/HTTP fingerprints, header order, browser APIs, canvas/WebGL, mouse/scroll events, and more.

  • Session/account abuse signals
    Reusing one account, one cookie jar, or one API key across too much activity can trigger rate limits or bans.

  • Robots / access policy enforcement
    Some sites explicitly disallow scraping or enforce terms through technical controls.

  • WAF / anti-bot systems
    Cloudflare, Akamai, PerimeterX, DataDome, etc. can challenge, throttle, or block suspicious traffic.

What you can do, in a legitimate and compliant way:

  • Check for an official API or feed first
  • Reduce request rate and add backoff/jitter
  • Cache aggressively and avoid re-fetching unchanged pages
  • Respect robots.txt and site terms
  • Use conditional requests like If-Modified-Since / ETag where allowed
  • Stagger workloads instead of hitting pages in large bursts
  • Monitor status codes like 429, 403, 503, and response headers for rate-limit hints
  • Coordinate with the site if you need large-scale access; many publishers offer bulk data access or whitelisting

If you want, I can help you diagnose the specific block pattern from the status codes, headers, timing, and whether you’re using browser automation or raw HTTP.

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.

Want this interpreted for your brand?

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