Vercel vs Spider Cloud

The capability sets barely overlap, which is the clearest sign these aren't substitutes. Vercel's strengths are in the delivery and runtime path: automated deploys from GitHub/GitLab/Bitbucket, a preview URL per branch and PR, a global CDN with automatic routing, serverless functions on Fluid Compute, and a configurable WAF. Its agent work is infrastructure for running other people's code and models — Vercel Sandbox for untrusted code in ephemeral VMs with per-sandbox region selection and failover across iad1, sfo1, cle1, and cdg1, the Workflow SDK for durable orchestration, the eve filesystem-first backend agent framework, and AI Gateway fronting hundreds of models behind one API key. Fresh additions include TypeSafe clients and a native HTTP API for Jev on AI Gateway, MiMo V2.6 Pro/Flash/Pro UltraSpeed with 1M context and tool calling, Microsoft Teams support via Vercel Connect, and per-deployment billable duration and CPU minutes surfaced in the dashboard, vc inspect, and REST API.

Spider Cloud's strengths are all on the acquisition side of data. It scrapes a page into markdown, JSON, HTML, or text; crawls whole sites with pages streaming back in order as JSONL as each finishes; and returns SERP results, scraped pages, and AI extraction in a single search call. Its custom browser renders like a user — scripts run, lazy images load, infinite scroll completes — while the Unblocker handles bot walls, CAPTCHAs, and geo checks with retries and rotating proxies. Browser Cloud runs full sessions with stealth and CAPTCHA solving on by default, and the Browser API WebSocket accepts Act/Extract/Observe AI commands. AI extraction uses a two-phase fallback (fast model first, capable model for complex layouts), and the spider-agent CLI plus SKILL.md let a coding agent self-onboard against the API. One is the place your app lives; the other is how your app reads the web.

Both are freemium, but the meters measure completely different things, so a like-for-like price comparison doesn't exist. Vercel's bill is driven by compute and bandwidth: Fluid Compute with Active CPU pricing means you pay for CPU actually consumed rather than provisioned, and the platform now exposes billable duration and CPU minutes per deployment in the dashboard, vc inspect, and the REST API — useful because Fast Data Transfer overage is the line item that surprises high-traffic sites. Vercel's own 'not for' list flags static sites on a tight budget, where Cloudflare Pages or Netlify undercut it.

Spider Cloud's bill is driven by requests plus proxy consumption. The important caveat is on the vendor's own not-for list: residential and ISP proxy pools bill separately from base request pricing, so the headline request rate is not the whole cost. Geo-targeting is not available on the Unlimited plan, meaning geo-fenced crawls stay on pay-as-you-go — a real budget consideration if your crawl must appear to originate from specific countries, despite the 199 country-specific proxy profiles. Its Unlimited plan is aimed at flat-rate, high-concurrency crawling where metered per-request billing would lose. There is no permanent free tier for occasional low-volume scrapers; those buyers get cheap metered billing instead.

Net: Vercel's cost scales with traffic and compute, Spider Cloud's with pages fetched and proxy exits used. Budget for them in separate line items.