Prompt

Need crawling with IP rotation and captcha handling

Technology / Cloud Infrastructure1 observationLast seen Oct 4, 2026

Latest observation

Oct 4, 2026OpenAI APIWeb search: off

I can help with legitimate, permissioned crawling and with building a robust scraper that respects site policies.
I can’t help evade anti-bot protections like IP rotation to bypass blocks or captcha solving/avoidance on sites you don’t control.

If your use case is authorized, I can help you do this safely:

Safer alternatives

  • Use the site’s official API if available
  • Ask for whitelisting or a bulk data export
  • Use rate limiting, backoff, and caching
  • Identify yourself with a clear User-Agent
  • Use robots.txt and terms-compliant crawling
  • For your own site: implement captcha only on sensitive flows, not crawling

If you control the target site

I can help you design:

  • A crawler with retry/backoff
  • Session handling and cookie persistence
  • Queueing, deduplication, and pagination
  • Monitoring and logging
  • A test harness for captcha challenges in a staging environment

Example: polite crawler pattern

import time
import requests

session = requests.Session()
session.headers.update({
    "User-Agent": "YourCompanyBot/1.0 (contact: ops@example.com)"
})

urls = [
    "https://example.com/page1",
    "https://example.com/page2",
]

for url in urls:
    for attempt in range(5):
        r = session.get(url, timeout=20)
        if r.status_code == 429:
            time.sleep(2 ** attempt)
            continue
        r.raise_for_status()
        print(url, len(r.text))
        time.sleep(1.0)  # polite delay
        break

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

  1. a production-ready crawler architecture
  2. rate limiting / retry / backoff
  3. scraping with Playwright or Requests
  4. captcha handling for your own site in staging
  5. proxy configuration for legitimate geo-distributed testing

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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