TL;DR
- Apify is a broad Actor platform; Nstdata Crawl is a focused crawl and extraction layer.
- Choose Apify when you need a marketplace of reusable Actors or custom Actor code inside that ecosystem.
- Choose Nstdata Crawl when the main requirement is bounded page collection, rendering, and reusable web-data artifacts.
- Compare accepted-page quality, task control, output shape, proxy routing, observability, and maintenance—not raw feature count.
The short answer
The relevant Nstdata product is Nstdata Crawl, not a generic proxy plan.
Nstdata Crawl fits a team that wants a crawl API and structured page artifacts without owning an Actor marketplace workflow. Apify fits a team that benefits from reusable Actors, schedules, datasets, and platform automation. The decision depends on whether your unit of work is a page-collection task or a programmable platform job.
Nstdata Crawl vs Apify: decision matrix
| Decision field | Nstdata Crawl | Apify |
|---|---|---|
| Core abstraction | Crawl task and page artifacts | Actor run, dataset, and storage |
| Custom logic | Downstream parser and application code | Custom Actor or Store Actor |
| Outputs | Markdown, HTML, links, JSON, PDF, or related artifacts | Actor-defined dataset outputs |
| Rendering | Crawl rendering controls, subject to current API | Actor implementation and runtime |
| Proxy layer | Nstdata access and routing products | Apify proxy and Actor configuration |
| Pricing lens | URL usage, subscription options, and proxy usage | Platform usage plus Actor-specific rules |
Apify’s says Store Actors can have their own pricing rules. Its describes usage-based platform services, so estimate the complete run rather than assuming one flat rate.
