Fly.io vs Spider Cloud

Spider Cloud focuses on web data extraction with a Rust-based engine that handles 100K+ pages per second and 99.9% success rate. It provides AI-native output (markdown, JSON, screenshots) and anti-bot bypass via 199 proxy countries. Key features include headless browser automation, AI extraction with schema enforcement, and relevance gating to skip irrelevant pages before billing. It integrates with major AI frameworks like LangChain, LlamaIndex, and CrewAI. Fly.io, on the other hand, is a compute platform for deploying any code in hardware-isolated sandboxes with KVM virtualization. It offers Fly Machines that launch instantly and autoscale, private networking, global storage, and Sprites sandboxes specifically for running AI-generated code safely. Fly.io provides zero-downtime deploys, 18 regions worldwide, and supports any framework via CLI auto-generated containers. It lacks web scraping features but excels in running custom applications. While both target developers, Spider Cloud is a specialized data extraction API, whereas Fly.io is a general-purpose deployment platform.

Spider Cloud uses a pay-as-you-go credits model with a free tier (limited usage). Pricing is based on credits consumed per request, with no mention of specific tiers. Enterprise options are available. Fly.io offers a free tier with a $5/mo compute credit, plus additional free allowances for bandwidth, storage, and certain services. Beyond that, pricing is usage-based for compute, storage, and egress. Both are consumption-based, but Spider Cloud's pricing is tied to data extraction volume, while Fly.io's is tied to compute resources and network usage. For heavy scraping workloads, Spider Cloud may cost less than running a scraping infrastructure on Fly.io. However, for deploying a custom app, Fly.io's free tier is generous.