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Nimble

Enterprise web data platform with AI agents for real-time, structured extraction

web-scraping#web-scraping#proxies#data-platform#ai-agents
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Toolglade’s take

Nimble is a serious, well-funded enterprise web data platform, and its 2026 Series B plus Web Data Agents show it is investing in the data-for-AI direction. The managed infrastructure and structured output are genuinely valuable at scale. It is priced accordingly, with entry monthly plans starting around $150 and managed tiers far higher, so it is overkill for small jobs. Best for data and engineering teams that need reliable, scalable collection.

About Nimble

Nimble is an enterprise web data platform combining AI scraping, parsing, and structuring with managed proxies, offering Agent, Search, Extract, Crawl, and Map APIs to feed AI systems with real-time data.

Nimble is aimed at organizations that treat web data as production infrastructure. It pairs AI-driven scraping, parsing, and data structuring with its own proxy network, delivering clean, structured output at scale. Its Web Data Agents are designed to cull contextually relevant data specifically to feed AI systems, positioning Nimble in the growing space of web data for LLMs and agents. The platform exposes a set of APIs, including an Agent API, Search API, and Extract, Crawl, and Map APIs, with pricing structured per thousand pages or search inputs. It supports both pay-as-you-go usage and monthly commitment plans, plus managed service tiers for teams that want Nimble to handle collection end to end. This makes it flexible from experimentation up to enterprise-scale pipelines. Nimble raised a substantial Series B in early 2026, signaling continued investment in the web-data-for-AI category. It is a strong pick for data and engineering teams that need reliability, scale, and structured output, though pricing skews higher than lightweight tools and its enterprise focus means it is overkill for small, occasional scraping jobs.

TL;DR

Nimble is an enterprise web data platform pairing AI scraping, parsing, and structuring with managed proxies and purpose-built APIs to deliver real-time structured data for AI systems.

Company overview

Nimble is a web data infrastructure company serving enterprises that need reliable, scalable data collection. It closed a roughly $47M Series B in early 2026, bringing total funding to around $75M, underscoring investment in the web-data-for-AI space.

The company focuses on delivering structured, AI-ready data and introduced Web Data Agents to gather contextually relevant information for AI applications. Its business spans usage-based, monthly, and fully managed service models.

Product features

Nimble offers AI-driven scraping, parsing, and data structuring backed by managed proxies, exposed through Agent, Search, Extract, Crawl, and Map APIs. Output is clean and structured for direct use in AI pipelines.

Pricing supports pay-as-you-go per thousand pages or inputs, monthly commitment plans, and managed service tiers for hands-off collection. The platform emphasizes reliability and scale for production workloads.

Target market

Nimble targets enterprise data and engineering teams, AI companies, and market-intelligence functions that need dependable, large-scale, structured web data.

Buyer personas

End users

Data engineers and AI developers consuming structured web data via APIs.

Buyers

Data platform and engineering leaders procuring collection infrastructure.

Key influencers

Architects and analytics leaders evaluating reliability and compliance.

Ideal customer profile

Enterprises and AI companies needing scalable, reliable, structured web data pipelines.

Funding & performance

Nimble raised a ~$47M Series B in February 2026, for roughly $75M total; verify the latest details with the vendor or public sources.

Pros & cons

Pros

  • Enterprise-grade reliability and scale
  • AI-driven parsing and structuring
  • Managed proxy infrastructure included
  • Multiple purpose-built APIs
  • Web Data Agents for AI context
  • Well-funded with a 2026 Series B

Cons

  • No free plan, higher entry price
  • Overkill for small or occasional jobs
  • Managed tiers are expensive
  • Enterprise focus adds onboarding complexity
  • Less hands-on control than DIY scrapers

Pricing plans

Pay-as-you-go
Usage-based
  • ~$3 per 1,000 pages (Agent API)
  • ~$5 per 1,000 search inputs
  • ~5,000 free pages to start
  • All core APIs
Monthly
$150 / month
  • Committed usage volume
  • Annual discounts up to 15%
  • All APIs
  • Support
Managed Service
$2,500 / month
  • Fully managed collection
  • Custom pipelines
  • Dedicated support
  • Enterprise SLAs

Key features

API
Team collaboration
Multi-language
Integrations
REST API, Proxy network, SDKs
Input types
text
Output types
text
Best For
enterprise data teams, AI data pipelines, large-scale scraping

Compare key features

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Feature
Nimble
Bright Data
ScrapingBee
Pricing
Paid
Paid
Freemium
Free plan
No
No
No
Free trial
Yes
Yes
Yes
API
Yes
Yes
Yes
Team support
Yes
Yes
Yes

Frequently asked questions

What is Nimble best used for?+

Nimble is best for enterprise-scale, reliable web data collection and structuring, especially feeding AI systems with real-time, contextually relevant data.

Does Nimble include proxies?+

Yes, Nimble provides managed proxy infrastructure alongside its AI-driven scraping and parsing capabilities.

What are Web Data Agents?+

Web Data Agents are Nimble's AI agents designed to gather contextually relevant web data specifically to feed AI models and applications.

Is there a free trial?+

Nimble does not offer a permanent free plan, but pay-as-you-go accounts typically start with around 5,000 free web pages.

How is Nimble priced?+

Nimble uses per-thousand-page or per-input pricing for pay-as-you-go, monthly plans from roughly $150 to $3,000, and higher managed service tiers.

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