Live-web search
Nimble queries the live web with headless browsers instead of relying on cached search indexes, which is intended to keep results current.
Nimble is a web intelligence platform that turns live internet data into structured outputs for AI, analytics, and data workflows. It combines Web Search Agents, search APIs, and managed plans for teams that need current web data without manual scraping.
Nimble is a web intelligence platform built around Web Search Agents, search APIs, and extraction workflows that turn live internet data into structured outputs for AI and analytics. Its public pages position it as a way to collect, clean, and organize web data without relying on cached indexes or manual scraping code.
The product spans self-serve developer APIs and managed service plans. It supports use cases such as structured data feeds, AI search for agents, domain-wide extraction, and URL mapping, with optional managed delivery for teams that want Nimble to configure and run the workflow on their behalf.
Nimble queries the live web with headless browsers instead of relying on cached search indexes, which is intended to keep results current.
Web Search Agents are designed for domain-specific collection tasks and can stream structured data from specific websites or categories.
The platform turns noisy pages into structured outputs such as data feeds, search results, page contents, domain contents, and URL maps.
The structured-data-feeds page describes parsing, multi-step navigation, stealth mode, and headless browser plus proxy handling for more complex sites.
Paid plans include both self-serve API options and managed plans where Nimble configures and runs the workflow for the customer.
Teams collecting competitive pricing, product catalogs, promotions, reviews, and store details can use Web Search Agents or the structured data feeds workflow to gather current data from live sites.
Analysts and growth teams can collect business locations, service details, contact information, and related metadata for lead generation or market mapping.
AI teams can connect agents to live web search so models and workflows use current, structured source data instead of stale cached results.
Operations teams can extract entire domains or map site URLs before building a broader crawl strategy or data pipeline.
Media, SEO, and social monitoring teams can track posts, pages, titles, descriptions, categories, authors, timestamps, and other web signals across dynamic sources.
Nimble offers multiple ways to work with live web data, including Web Search Agents, Search API, Answers API, Extract API, Crawl API, and Map API. The pricing page also shows managed plans for teams that want Nimble to configure and run the workflow for them.
The platform is built to browse the live web rather than rely on cached indexes, then structure the results into fields or tables that are easier for AI systems and analysts to use.
The source pages describe prebuilt Web Search Agents for structured data feeds, plus APIs and SDK-oriented workflows for building custom extraction and processing pipelines.
The pricing page lists a free trial with 5,000 free web pages, pay-as-you-go API data services, and billed-annual team plans with options to chat with sales for larger tiers.
The source material does not document exact setup steps or supported third-party connectors beyond mentions of MCP integration and data platform partnerships such as Databricks, Azure, AWS, and Snowflake.
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