The Platform Revolutionizing
How the World Accesses
Online Knowledge

Nimble’s Web Search Agents browse for, interpret, and stream structured data in real time
with the depth and accuracy no scraper or generic search agent can match.

Trusted by

Web Search Agents Unlock
Real-Time Web Intelligence

Nimble’s agents don’t scrape pages; they interpret them. They render dynamic sites, follow links, understand layout changes, and adapt to personalized or localized experiences, giving you data that general-purpose crawlers can’t access.

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Competitive Pricing

Stay ahead in dynamic markets with real-time visibility into competitor prices, product availability, and promotions.

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Deep Search for Agents

Feed your LLMs and retrieval pipelines with real-time, multilingual, and JavaScript-rendered data that’s clean, compliant, and context-rich.

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Alternative Data for Finance

Connect to live, structured web data that reveals company behavior, sentiment, and market shifts before they’re priced in.

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Digital Shelf Analytics

Get a real-time, unified view your digital shelf, matching products across every marketplace and enabling smarter analytics and faster optimization.

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The ETL Layer for the Internet

Web Search Agents act as a complete ETL system: browsing, parsing, structuring and streaming high-quality data directly into your analytics or AI stack.

Select your Web Search Agent and data parameters

Your fleet of sub-agents navigate the web

if data quality needs adjusment

Parsing Agents

Structured Data Output

Parsing Agents

Structured Data Output

Parsing Agents

Structured Data Output

Data Quality Agents (Platform)

Anomaly Detection

Confidence Scoring

Deduplication

PII Masking

Your Applications

Extract
Transform
Load

Stream Live Web Data,
Effortlessly

01
Dashboard interface titled 'Explore our Data Pipelines' showing multiple Amazon SERP Pipeline cards with company logos and descriptions on a purple gradient background.

Choose your Web Search Agent

Pick from domain-specific agents (pricing, availability, assortment, banners/SOV, PDP compliance, competitive intel) or start with a custom agent.

02
User interface for creating an Amazon PDP agent with fields for account name, agent name, and display name, options to upload CSV or Parquet file, and a toggle for draft mode.

Configure

Select sites/retailers, keywords, stores/locations, cadence, and delivery (Snowflake, Databricks, BigQuery, S3, API). Define the fields and schema you want.

03
Create Agent interface displaying data output storage schema fields such as shipping time, MOQ price, MOQ, and UOMQ with scheduling options including intraday, weekly, daily, on demand, and custom, and time settings for start time 08:00 and interval every 2 hours.

Launch & Stream

Run instantly or schedule. Agents scale horizontally, render JS, click through flows, change locations, and adapt as sites change, without brittle scripts.

04
Dashboard screen showing Amazon PDP data sample with product titles, manufacturers, URLs, pack sizes, and web prices in a table format.

Watch Your Data Flow

Receive governed, schema-enforced tables (or stream JSON via API), complete with QA, lineage, and change tracking.

05
Dashboard screen showing Amazon PDP data sample with product titles, manufacturers, URLs, pack sizes, and web prices in a table format.

Watch Your Data Flow

Receive governed, schema-enforced tables (or stream JSON via API), complete with QA, lineage, and change tracking.

Dashboard interface titled 'Explore our Data Pipelines' showing multiple Amazon SERP Pipeline cards with company logos and descriptions on a purple gradient background.User interface for creating an Amazon PDP agent with fields for account name, agent name, and display name, options to upload CSV or Parquet file, and a toggle for draft mode.Create Agent interface displaying data output storage schema fields such as shipping time, MOQ price, MOQ, and UOMQ with scheduling options including intraday, weekly, daily, on demand, and custom, and time settings for start time 08:00 and interval every 2 hours.Dashboard screen showing Amazon PDP data sample with product titles, manufacturers, URLs, pack sizes, and web prices in a table format.Dashboard screen showing Amazon PDP data sample with product titles, manufacturers, URLs, pack sizes, and web prices in a table format.

The World’s Most Advanced Teams Choose Nimble

Legacy scraping breaks on dynamic content and AI search providers can't deliver the depth you need. Nimble’s Web Search Agent Platform delivers structured, real-time data that scales with your needs: no upkeep required.

Legacy Scraping Vendors


How It Works

Static scripts or APIs extract pre-defined elements

How It Works

Output

Raw HTML or CSV

Output

Freshness & Coverage

Outdated and incomplete

Freshness & Coverage

Reliability & Maintenance

Breaks often, requires manual engineering

Reliability & Maintenance

scale & governance

Manual, costly scaling

scale & governance

AI Search Data Providers

How It Works

Cached index retrieval

Output

Summaries from cached pages

Freshness & Coverage

Shallow, lagging results

Reliability & Maintenance

Dependent on third parties

scale & governance

Cached and rate-limited

NIMBLE Web Search Agents


How It Works

Real-time browsing and interaction: live agents explore, render, and extract

Output

Structured, validated, and
source-linked datasets

Freshness & Coverage

Real-time, global, continuous

Reliability & Maintenance

Self-healing, zero manual upkeep

scale & governance

Elastic, governed, compliant

Built for Enterprise
Scale, Security, and Trust

Powering millions of sessions per month with global coverage, compliance, and always-on observability, ensuring your data is accurate, secure, and real-time.

11M+

sources covered

100K TB

per month delivered

>98%

success rate

Resilient Infrastructure

AI-powered parsing, proxy orchestration, and driver optimization keep data flowing when the web changes.

Global Scale

Capture intelligence from millions of sources, across geographies and categories, with guaranteed coverage.

Compliance & Security

Enterprise-ready controls, encryption, and ethical data collection baked in from day one.

Meet Nimble’s
Multi-Agent Systems

Nimble’s Web Search Agents collaborate through a proprietary distributed architecture, combining proxy, browsing, parsing, and validation layers for resilient, intelligent data extraction.

Power the @Next Generation@ of Pricing Intelligence with @Nimble@

Nimble turns the open web into a trusted, live pricing data source — enabling accurate, actionable intelligence for retailers, brands, and pricing platforms.

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Scalable

Run millions of real-time pricing sessions across thousands of SKUs and domains.

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Adaptive

AI-powered agents detect even subtle product or variant differences to ensure perfect matching.

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Global Coverage

Monitor pricing and availability across all key markets and currencies with full geolocation support.

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Verified

Each result is validated and normalized through Nimble’s data-structuring engine, ensuring accuracy and consistency across every dataset.

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Real-Time

Continuously updated feeds reflect the live web as it evolves, keeping your agents and analytics always current.

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Analysis-Ready

Stream structured data directly into Databricks, Snowflake, or your internal systems, ready for modeling and analysis.

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Analysis-Ready

Stream structured data directly into Databricks, Snowflake, or your internal systems, ready for modeling and analysis.

Three vertical bars of varying heights in a blue gradient representing a bar chart.

Analysis-Ready

Stream structured data directly into Databricks, Snowflake, or your internal systems, ready for modeling and analysis.

Three vertical bars of varying heights in a blue gradient representing a bar chart.

Analysis-Ready

Stream structured data directly into Databricks, Snowflake, or your internal systems, ready for modeling and analysis.

FAQ

What are Agents?

Agents are autonomous software processes that utilize AI to observe information, make decisions, and take actions to complete a task. In the context of web data, agents can browse pages, navigate flows, extract information, or trigger downstream actions based on what they find.

What are Web Search Agents?

Web Search Agents are Nimble’s domain-specific agents designed for public web data discovery, extraction, structuring, refinement, and delivery. Each agent continuously gathers real-time data from any public website and delivers analysis-ready outputs without requiring teams to maintain scripts or infrastructure.

How are Web Search Agents different from traditional scrapers?

Scrapers rely on static code that breaks and needs constant engineering support. Nimble’s agents use dynamic rendering, AI parsing, proxy optimization, and validation layers to adapt automatically as sites change. You get reliable, governed, real-time datasets with zero upkeep.

What types of data can Nimble collect?

Agents capture structured and unstructured data across product pages, category listings, reviews, pricing, availability, promotions,

images, videos, metadata, and network-layer JSON. If it’s publicly available on the web, agents can extract it and structure it.

What scale do agents support?

Agents scale horizontally across millions of pages, SKUs, and online sources. Nimble’s distributed architecture, optimized proxy network,

and driver selection engine ensure consistent, high-performance coverage at any volume.

How fresh is the data?

Agents can run continuously or on the schedule you choose; real time, intraday, daily, weekly, or on demand. Because agents browse live pages (never cached or shared datasets), you always receive the latest information.

Can I customize what data the agents extract?

Yes. You define the fields and schema you want, and agents extract exactly those fields. Nimble’s AI Parsing Agents keep schemas consistent, self-heal when websites change, and maintain structured outputs automatically.

How do you ensure data quality?

Every job passes through Nimble’s Data Quality Layer, including anomaly detection, confidence scoring, deduplication, PII masking, lineage, and schema enforcement. This ensures the output is accurate, complete, and ready for analytics or AI.

 How long does it take to get up and running?

Most teams are live in days. After a short consultative setup (1–5 days), the first agents typically go live in ~2 weeks, with full pipelines deployed by week four.

What integrations do you support?

Nimble delivers data directly into Snowflake, Databricks, BigQuery, S3, GCS, or your internal APIs. You can choose real-time API delivery, governed tables, or streaming outputs depending on your workflow.See Nimble’s Integrations Page.