Prompt

I'm tired of maintaining custom crawlers, what should I replace them with?

Technology / Data infrastructure1 observationLast seen Sep 24, 2026

Latest observation

Sep 24, 2026OpenAI APIWeb search: off

If you’re tired of maintaining custom crawlers, the best replacement is usually a managed scraping/crawling platform or an extraction API, depending on what you actually need.

Good replacements by use case

1. You just need page content or structured fields

Use a managed extraction API:

  • Diffbot
  • Apify (Actors / Crawlers)
  • Zyte API
  • Bright Data Web Unlocker / Collector
  • ScrapingBee
  • Oxylabs

Best when you want:

  • less infra maintenance
  • built-in retries, proxy rotation, CAPTCHA handling
  • structured output without writing parsing logic everywhere

2. You need to crawl at scale

Use a managed crawling platform:

  • Apify
  • Zyte
  • Bright Data
  • Oxylabs
  • Scrapy Cloud (if you still want Scrapy but managed)

Best when you need:

  • scheduling
  • distributed crawling
  • deduplication
  • queue management
  • observability

3. You only need occasional data from a few sites

Use no-code / low-code connectors:

  • Browse AI
  • Octoparse
  • ParseHub

Best when:

  • non-engineers need to maintain it
  • the sites are relatively simple
  • you don’t want to own code

4. The target data already exists elsewhere

Don’t crawl at all—use:

  • official APIs
  • data providers
  • marketplace datasets
  • search/index APIs

This is often the most reliable long-term option.

What I’d recommend most often

If you’re replacing custom crawlers in a production setting, I’d usually shortlist:

  1. Apify for flexibility and fast replacement
  2. Zyte API if you want robust scraping with minimal ops
  3. Bright Data or Oxylabs if you need serious anti-bot/network scale
  4. Diffbot if you want turnkey extraction from articles/products/entities

How to choose quickly

Pick based on what hurts most:

  • Maintenance burden → Apify / Zyte
  • Anti-bot issues → Bright Data / Oxylabs / Zyte
  • Need clean structured data → Diffbot
  • Need simple non-dev automation → Browse AI / Octoparse
  • Need full control but less ops → Scrapy Cloud / managed infrastructure

My practical advice

If you have custom crawlers today, the lowest-friction migration path is often:

  • keep your extraction logic where needed
  • move fetching, proxying, retries, scheduling, and scaling to a managed platform

That gives you most of the benefit without a full rewrite.

If you want, I can also give you a decision table by budget, scale, and anti-bot difficulty, or recommend a stack for your specific sites.

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.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.