Prompt

How can I avoid IP blocks when web scraping?

Technology / Data Infrastructure5 observationsLast seen Sep 21, 2026

Latest observation

Sep 21, 2026PerplexityWeb search: on

To avoid IP blocks when web scraping, you need a layered approach: distribute requests across clean IPs, mimic a real browser’s network and behavior, respect site limits, and have fallbacks when defenses tighten. Simple tricks like rotating user agents alone no longer work on modern anti‑bot systems. browserless

1) Use the right proxy strategy

  • Prefer residential (or ISP) proxies over datacenter for protected sites; datacenter ranges are flagged by default on many targets. use-apify
  • Rotate IPs per request or per session; for multi‑step flows (login → cart), use sticky sessions to keep the same IP. decodo
  • Geo‑match your proxies to the target country/region to avoid mismatches that trigger blocks. brightdata

2) Match a real browser’s network fingerprint

  • TLS fingerprinting: Use HTTP clients that impersonate modern browsers (e.g., curl_cffi, Playwright/Stealth) instead of bare requests. This alone can fix a large share of blocks. use-apify
  • Headers: Send a complete, realistic header set (User‑Agent, Accept, Accept‑Language, Accept‑Encoding, Referer, etc.) and rotate User‑Agents sensibly. brightdata
  • Sessions: Reuse cookies and session state; warm up by visiting the homepage first and adding a Referer that matches your navigation path. scrapebadger

3) Slow down and randomize behavior

  • Delays: Add randomized delays (e.g., 2–8 seconds) between requests on protected sites; avoid fixed intervals and burst patterns. use-apify
  • Concurrency: Use a queue with controlled concurrency; back off on 429/503 or rising latency. dev
  • URL discipline: Normalize URLs, cache responses, and avoid scraping the same URL more often than it changes. scrapebadger

4) Use a real browser when needed

  • For JavaScript‑heavy or heavily protected pages, drive Playwright/Puppeteer with stealth plugins or a scraping browser that handles fingerprint spoofing and JS challenges. use-apify
  • For simpler sites, stick to HTTP clients with TLS impersonation to keep costs low. tendem

5) Handle CAPTCHAs and challenges gracefully

  • Detect blocks (403/429, CAPTCHA pages, odd HTML) and back off instead of retrying immediately. scrapebadger
  • Use a CAPTCHA solver or a managed scraping browser only as a last resort; prioritize lowering request rates and improving fingerprints first. use-apify

6) Respect site rules and legal boundaries

  • Check and honor robots.txt and any Crawl‑delay directives; use a clear User‑Agent with contact info. brightdata
  • Prefer official APIs or data licenses when available; talk to site owners for high‑volume or sensitive use cases. mobileproxy

7) Monitor and adapt

  • Track success rate, block types, and latency; when detection rises, reduce concurrency, refresh proxies, or switch to a different IP pool/ASN. scrapebadger
  • Treat anti‑bot as a moving target; update fingerprints, headers, and pacing as sites change. use-apify

Minimal checklist

  • Residential/ISP proxies with rotation and geo‑targeting decodo
  • Browser‑like TLS and headers (or a stealth browser) use-apify
  • Randomized delays and controlled concurrency dev
  • Session warm‑up, cookies, and Referer alignment scrapebadger
  • robots.txt compliance and rate limiting mobileproxy
  • Monitoring and automatic back‑off on blocks scrapebadger

If you share your target sites and language stack, I can suggest a concrete setup (libraries, proxy type, and pacing parameters).

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (5 observations 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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