你将如何着手从房地产平台进行长期的数据采集？
2 分•作者: ashi-sal•22 天前
我目前正在进行一个房地产数据项目，并试图了解从大型在线平台获取结构化数据的最佳实践，以确保其可靠性和可扩展性。<p>在大多数有用数据通过前端行为（网络调用、客户端请求）呈现，而官方 API 数量有限的情况下，经验丰富的团队通常如何长期处理这个问题？我特别感兴趣的是，大家如何看待前端观察与后端数据源的关系，如何设计具有弹性的数据管道，如何处理频繁的变化，以及如何避免容易崩溃的、脆弱的设置。<p>非常希望听到其他人如何在实际生产系统中处理这个问题，以及他们希望在早期有所不同的地方。
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I’m working on a real estate data project and trying to understand best practices for acquiring structured data from large online platforms in a way that’s reliable and scalable.<p>In cases where most of the useful data is surfaced through frontend behaviour (network calls, client side requests) and only limited official APIs are available, how do experienced teams usually approach this long term? I’m particularly interested in how people think about frontend observation vs backend data sources, designing resilient pipelines, handling frequent changes, and avoiding brittle setups that constantly break.<p>Would really appreciate hearing how others have approached this in real production systems and what they wish they had done differently early on.