Spider
Spider is a Rust-based, AI-friendly web scraping and crawling cloud. Point it at a URL and get back clean markdown, structured JSON, screenshots, or links — at up to 100K pages per second — with anti-bot bypass, residential proxies, headless browsers, and native MCP, LangChain, LlamaIndex, CrewAI, and AutoGen integrations.
Spider publishes 9 APIs on the APIs.io network, including Crawling API, Data API, Fetch API, and 6 more. Tagged areas include Crawling, Scraping, Data Extraction, URLs, and AI.
Spider’s developer surface includes authentication, documentation, API reference, pricing, support, engineering blog, and 15 more developer resources.
Kin Score
APIs 10
Individual APIs this provider publishes, each with its own machine-readable definition.
Spider Cloud MCP Server
Spider's hosted Model Context Protocol server exposes 22 tools — eight core operations (crawl, scrape, search, links, screenshot, unblocker, transform, get_credits), five AI-rou...
Spider Crawling API
Recursively crawl entire websites and collect every page.
Spider Data API
Account data — scraper directory, crawl logs, credits balance.
Spider Fetch API
Per-website APIs with AI-discovered configurations.
Spider Links API
Collect all links from a website.
Spider Scraping API
Extract content from individual web pages.
Spider Screenshot API
Capture full-page or viewport screenshots.
Spider Search API
Search the web and crawl results.
Spider Transform API
Convert raw HTML or PDF into clean output (markdown, JSON, text).
Spider Unblocker API
Access content behind anti-bot protections.
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Open Collections 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Spider Cloud API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Spider Cloud Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Spider Cloud Finops
FINOPSSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Documentation 3
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Build 6
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API