Sie vs Spider Cloud

Spider Cloud's job is acquiring web content. The pieces that matter: a scrape endpoint that returns markdown, JSON, HTML, raw or plain text; a crawl that streams pages back as JSONL in completion order; a single search call that returns SERP results, scraped pages, and AI extraction together; a renderer that executes scripts, loads lazy images and finishes infinite scroll; and an unblocker for bot walls, CAPTCHAs, and geo checks, with heavy targets routed to browser.spider.cloud for full sessions with stealth and CAPTCHA solving on by default. Prompt-plus-request returns named fields as JSON, and Act/Extract/Observe commands can be sent over the Browser API WebSocket mid-session. The provider router added in September 2026 lets scrape and crawl bodies send URLs to outside providers on your own keys. Sie is the opposite end: it consumes content you already have. It encodes text and images into dense, sparse, and multi-vector embeddings, reranks with cross-encoders like bge-reranker-v2-m3, extracts entities, relations, and schema-valid JSON, OCRs PDFs, Office files, and scans into markdown, runs streamed generation on self-hosted open LLMs, and applies safety classifiers such as granite-guardian-2b. Operationally it is a stateless gateway over one cluster-wide queue with pool-then-batch packing, multi-model GPU sharing via LRU eviction, per-request LoRA adapters, hot-reloadable model profiles, and backends including SGLang, vLLM, TensorRT-LLM, TEI, and Candle. In short: Spider gets the data in, Sie turns data into vectors and structured fields — they meet in the middle of a RAG stack rather than competing for the same slot.

Spider Cloud is freemium with two distinct motions. Pay-as-you-go meters requests and is the only place geo-targeting on Unlimited is unavailable — geo-fenced crawls must stay on pay-as-you-go. The flat-rate Unlimited tier is where high-volume crawls win, because concurrency isn't metered per request. The catch buyers miss: residential/ISP proxies and AI extraction are not bundled into base request pricing and bill separately, so your real cost depends on how often requests need a rotating exit or an extraction call. Also budget for engineering time: Unlimited queue nothing server-side and expects your client to handle HTTP 429 with its own backoff. Sie is Apache 2.0 and freemium in the sense that self-hosting costs nothing in license fees — Managed SIE is still a waitlist, so there is no hosted price to compare against today. Your bill is GPUs, Kubernetes, and the engineers to run them; the payoff is the workload shape. Sie's own positioning concedes Modal beats it on bursty compute while SIE wins on sustained inference, and its benchmarks claim 89% GPU efficiency versus 51% for worker-local routing. If your embedding, reranking, OCR, or extraction volume is steady and growing, per-token hosted pricing is what you're escaping; if it's spiky and low-volume, hosted per-token pricing stays cheaper and Sie doesn't pay for itself.