How does Apify handle large-scale scraping?Apify 如何应对大规模抓取？
It runs crawlers on autoscaling cloud infrastructure with built-in proxy rotation, queues, and retries, so jobs scale from one page to millions.它在可自动扩缩的云基础设施上运行爬虫，内置代理轮换、队列与重试，任务可从一页扩展到百万页。
Apify is built for scale. Jobs run on autoscaling cloud infrastructure, so a crawl that touches millions of pages uses the same workflow as a small one.
Key building blocks:
- Request queues distribute and deduplicate work across runs
- Proxy rotation (datacenter and residential) reduces blocking
- Automatic retries recover from transient failures
- Concurrency controls keep you within target rate limits
Results stream into datasets you can export or pull via API, so downstream systems always get consistent, structured output.
Apify 为规模而生。任务运行在可自动扩缩的云基础设施上，因此抓取百万页与抓取几页用的是同一套流程。
核心组件：
- 请求队列：在多次运行间分发并去重任务
- 代理轮换（数据中心 + 住宅）：降低被屏蔽概率
- 自动重试：从临时失败中恢复
- 并发控制：把速率维持在目标范围内
结果会写入数据集，可导出或通过 API 拉取，下游系统始终获得一致、结构化的输出。