Prompt

How can I find a web scraping API with high scalability?

Latest observation

Aug 18, 2026 · OpenAI APIWeb search: off

To find a web scraping API with high scalability, look for a provider that can handle large request volumes, concurrency, retries, anti-bot measures, and global distribution without falling over.

What to evaluate

  1. Throughput and concurrency

    • Check how many requests per second or parallel jobs the API supports.
    • Look for rate limits, burst limits, and whether they can be increased.
  2. Infrastructure scale

    • Prefer APIs with distributed proxy networks, autoscaling workers, and multiple regions.
    • Ask if they support scraping at peak loads and whether there are dedicated plans for high volume.
  3. Anti-blocking capability

    • For scalable scraping, you’ll likely need:
      • rotating residential/datacenter proxies
      • automatic retries
      • browser rendering for JS-heavy sites
      • CAPTCHA handling or escalation paths
  4. Reliability features

    • SLA, uptime guarantees, health dashboards, and detailed error codes matter.
    • Check for request queuing, idempotency, and webhook/job status tracking.
  5. Data extraction options

    • High-scale APIs are more useful if they return structured output:
      • HTML
      • rendered DOM
      • screenshots
      • JSON extraction rules
    • This reduces post-processing overhead.
  6. Pricing model

    • At scale, per-request pricing can get expensive.
    • Compare:
      • success-based billing vs. request-based billing
      • bandwidth charges
      • browser-rendering premiums
      • proxy costs
  7. Compliance and ethics

    • Make sure the API supports legal/acceptable use, respects robots.txt where needed, and fits your target sites’ terms.

How to shortlist providers

Search for terms like:

  • “high volume web scraping API”
  • “scalable scraping API with proxy rotation”
  • “browser-based scraping API”
  • “enterprise scraping platform”

Then compare:

  • docs quality
  • sandbox/testing tools
  • SLA
  • customer support response time
  • sample code and SDKs
  • limits on jobs, pages, and concurrency

Good questions to ask vendors

  • What is your maximum sustained request rate?
  • How do you handle retries and failed requests?
  • Do you support JS rendering and headless browsers at scale?
  • What proxy network do you use?
  • Can you provide a dedicated plan or custom capacity?
  • What are the latency and success-rate benchmarks for my target sites?

Practical recommendation

If your goal is high scalability, prioritize providers that offer:

  • async job queues
  • distributed scraping infrastructure
  • proxy rotation
  • browser rendering
  • enterprise SLAs

If you want, I can also give you:

  1. a comparison checklist you can use to evaluate providers, or
  2. a list of popular scalable scraping APIs by use case.

Observation history

See 4 earlier observations

Create a free Obsurfable account to unlock historical responses, model comparisons, and deeper brand intelligence.

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, and Meta AI.