Spider Cloud

Spider Cloud's edge is performance: 100K+ pages/second from a Rust engine that's auditable on GitHub. The billing model is refreshingly simple — $1 per GB of bandwidth plus $0.001 per compute minute, with no credit multipliers or hidden fees. Most pages cost well under a cent, and failed requests are free. The 2026 feature pipeline is aggressive: Browser AI Commands let you script browser actions via WebSocket, Data Connectors pipe results into S3/GCS/Google Sheets automatically, and the relevance gate skips irrelevant pages before you're charged. The Scraper Catalog of 1,000+ examples is a nice time-saver. Weaknesses: the 10,000 RPM cap applies to all plans, so high-throughput needs may require multiple accounts. AI extraction requires an AI Studio subscription. Support is community-driven unless you negotiate an enterprise deal. Overall, for developer-led teams building AI agents or RAG pipelines, Spider Cloud is a best-in-class choice.

Spider Cloud is a high-performance API for crawling, scraping, and extracting structured data from the web, purpose-built for AI agents, RAG pipelines, and LLMs. It converts any URL into clean markdown, structured JSON, or a screenshot using a Rust-based engine that handles over 100,000 pages per second with a 99.9% success rate. Spider Cloud is designed for developers and AI engineers who need fresh web data at runtime. It offers a single API for crawling, scraping, search, and headless browser automation. The service includes built-in anti-bot bypass, residential proxies across 199 countries, and AI-native output formats that minimize LLM token waste. The platform provides open-source transparency — the crawler engine is on GitHub with over 2.5K stars — and a pay-as-you-go pricing model with credits that never expire. Users can self-host or use the managed cloud without lock-in. Native integrations with LangChain, LlamaIndex, CrewAI, AutoGen, and others make it easy to embed web data into AI workflows. Recent 2026 additions include Browser AI Commands (Act, Extract, Observe via WebSocket), Data Connectors to S3/GCS/Google Sheets, a Scraper Catalog of 1,000+ examples, and a relevance gate that skips irrelevant pages before charging credits.