Prompt
What should I use for a managed crawling API?
Latest observation
If you want a managed crawling API, the best choice depends on what you’re crawling and how much control you need. Here are the main options:
Good managed crawling options
- Apify — very popular for web crawling/scraping, with ready-made actors and an API. Good if you want speed and don’t want to manage infrastructure.
- Bright Data Web Scraper / Scraping Browser — strong for larger-scale crawling, anti-bot handling, proxies, and structured data extraction.
- Zyte API — good managed scraping/crawling with smart rendering, anti-blocking, and extraction features.
- Diffbot — great if you want automatic structured extraction from pages and don’t want to build parsers.
- Browse AI — easier no-code/low-code option for monitored crawling and automation.
What to pick
- Need easy setup and flexibility: Apify
- Need scale + anti-bot + proxy infrastructure: Bright Data or Zyte
- Need automatic structured extraction: Diffbot
- Need simple no-code workflows: Browse AI
If you’re building this yourself
You may want a crawl orchestration API plus:
- a rendering service for JS sites
- proxy rotation
- deduping and scheduling
- rate limiting / retry logic
- extraction pipeline
If you tell me:
- your target sites,
- whether they’re JS-heavy,
- your volume,
- your budget,
I can recommend the best specific service.
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?
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