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Nimble provides real-time web data access through a search API that browses the live web rather than relying on prebuilt indexes. Unlike traditional search APIs, Nimble uses headless browsers to navigate websites in real-time—handling JavaScript rendering, dynamic content, pagination, and complex multi-step navigation flows. Key technical capabilities:
  • Live web browsing: Real-time access to current web content, not cached indexes
  • JavaScript rendering: Handles modern SPAs, lazy loading, and client-side rendering
  • Flexible modes: Fast mode for SERP data or deep mode for full content extraction
  • AI summaries: Optional LLM-generated answers alongside raw search results
  • Production-ready: Built for scale with async support and comprehensive error handling
For more information, visit nimbleway.com or explore the official Nimble documentation.

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Installation and setup

The Nimble integration exists in its own partner package. You can install it with: 
pip install -U langchain-nimble
To use the package, you’ll need to set the NIMBLE_API_KEY environment variable to your Nimble API key. You can obtain an API key by signing up at Nimble.

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Tools and toolkits

NimbleSearchTool

Real-time web search for agents. Supports deep mode for full content extraction, domain/date filtering, and optional AI-generated summaries.

NimbleExtractTool

Extract rendered content from specific URLs. Handles JavaScript-heavy sites with configurable parsing formats.

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Retrievers

NimbleSearchRetriever

Search retriever with fast/deep modes. Navigate dynamic sites and extract full page content for RAG applications.

NimbleExtractRetriever

Content extraction retriever for known URLs. Returns structured data in plain text, markdown, or HTML formats.
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