backdoor vs Spider Cloud

The overlap between these two is close to zero, which is why the honest answer is that they are not competitors. Backdoor's whole surface area is request interception and format translation: it catches Claude Code's Anthropic-shaped API calls, translates them to the OpenAI request format, forwards them to DeepSeek, Groq, Ollama, OpenRouter, NVIDIA NIM, or LM Studio, and streams responses back with tool use intact. Its feature list is plumbing — a .env switch, an animated terminal setup wizard, a sub-600-line single-file Python server, and local-only inference through Ollama so nothing leaves the machine.

Spider Cloud's surface area is the web. It scrapes one page into markdown, JSON, HTML, raw text, or plain text; crawls sites with each page streamed as a JSONL line the moment it finishes; and runs a web search endpoint that returns SERP results plus the scraped pages behind them in one call. Its rendering layer executes scripts, waits on lazy images, and completes infinite scroll, with an Unblocker for protected pages and Browser Cloud sessions that include anti-detection and CAPTCHA solving. Recent releases add AI commands (Act, Extract, Observe) over the Browser API WebSocket, two-phase AI extraction with a fast model falling back to a stronger one, a provider router that sends requests to outside providers on your own keys, and a 1,000+ scraper catalog. A 215M+ residential/ISP proxy network spans 199 countries.

One point of contact: Spider Cloud lists Claude Code, Cursor, Codex, and Claude Desktop integrations via MCP. So a team can run Backdoor underneath Claude Code for cheap inference while feeding that same agent web content through Spider Cloud — layered, not either/or.

Backdoor costs nothing. It is MIT-licensed and free to install; the only money that moves is what your chosen provider charges, and the README's headline comparison puts 500 million tokens through DeepSeek V3 Flash at $5.34 against $9,834 for the same volume on Claude Opus 4.7 — a stated 99.95% reduction. Groq and NVIDIA NIM free tiers are supported, and Ollama runs locally at zero marginal API cost. There is no seat count, no concurrency cap, and no vendor invoice; the trade-offs are non-monetary — no SLA, no official support, no production hardening, and exposure to Anthropic ToS questions that a legal team may not accept. Self-hosted inference also inherits supply-chain risk, which recent discussion of hidden time-release backdoors in open-source models and hardware-level flaws in some x86 CPUs makes concrete rather than theoretical; if you route through Ollama, that risk sits on your hardware.

Spider Cloud is freemium with two distinct commercial shapes. The flat-rate Unlimited tier wins on high-throughput crawls where per-request metering would punish you, but it withholds geo-targeting — geo-fenced crawls must stay on pay as you go. Pay as you go is metered, and budget owners should note that residential/ISP proxies and AI extraction are billed separately rather than folded into one all-in rate. The practical cost question is therefore not the sticker price but your request mix: many geo-specific requests and heavy AI extraction push you off flat-rate economics, while