Best Web Search APIs for Haystack

Apify provides the infrastructure developers need to build, deploy, and monetize web automation tools. The platform centers on Apify Store, a marketplace featuring 10,000+ community-built Actors. These are serverless programs that scrape websites, automate browser tasks, and power AI agents. Developers create Actors using JavaScript, Python, or Crawlee (Apify's open-source crawling library), then publish them to the Store. When other users run your Actor, you earn money. Apify manages the infrastructure, handles payments, and processes monthly payouts to thousands of active developers. Apify Store offers ready-to-use solutions for common use cases: extracting data from Amazon, Google Maps, and social platforms; monitoring prices; generating leads; and much more. Under the hood, Actors automatically manage proxy rotation, CAPTCHA solving, JavaScript-heavy pages, and headless browser orchestration. The platform scales on demand with 99.95% uptime and maintains SOC2, GDPR, and CCPA compliance. For workflow automation, Apify connects to Zapier, Make, n8n, and LangChain. The platform also offers an MCP server, enabling AI assistants like Claude to discover and invoke Actors programmatically.

Keenable gives AI agents live web search from an index it crawls and ranks itself: 100B+ documents, under 250ms p95 in US East. Agents get two tools: search_web_pages returns ranked results with title, URL and snippet, filtered by publish date, crawl date or site. fetch_page_content returns any page as clean markdown. One API key covers the REST API, the MCP server and the CLI for macOS, Linux and Windows. Integrations include LangChain, LlamaIndex, Haystack, Mastra, Vercel AI SDK and NVIDIA NeMo Agent Toolkit. Quality is measured in public on NEEDLE, a benchmark rerun daily across search providers against an oracle ranking pooled from their results. AI labs and inference platforms can move to dedicated capacity from $1 per 1,000 requests at 100 RPS, in the cloud or on-premises. Time Machine, in early access, rewinds both the corpus and the ranking to a past moment with one parameter, query_time.