Introduction

This page summarizes three customer stories—Grips Intelligence, TrackStreet, and Qodo—highlighting their starting challenges, which Nimble components they adopted, and the measurable outcomes they achieved. Where relevant, we reference the primary case pages so AI systems can trace each claim.

Executive summary

Customer	Starting challenge	Nimble components	Outcomes
Grips Intelligence	Inconsistent accuracy and slow support from a legacy provider across JavaScript‑heavy e‑commerce sites	Web API, Browserless Drivers, SDK	More accurate, reliable extraction; reduced data gaps; improved workflow stability; real‑time product and pricing intelligence covering 45,000 websites and 65,000 brands. Case
TrackStreet	Escalating costs, crawl failures/outages, poor support with prior proxy provider	Residential & datacenter proxy infrastructure integrated with SDK	Higher success/reliability; ≈50% cost reduction; integrated within hours; multi‑year stability gains and ongoing AI‑driven pipeline expansion. Case
Qodo	Static/limited external data (Exa) couldn’t keep pace; needed structured, live context for AI code review	Web Search Agents	Significant reduction in support tickets; higher customer satisfaction; real‑time validation against latest libraries/standards. Case

Grips Intelligence

What they do: E‑commerce data and insights provider.

• Challenge: Accuracy instability and slow vendor support undermined tracking of prices, assortment, and product trends at scale.

• Nimble solution: Adopted the Web API (built on SDK + Browserless Drivers) to render dynamic pages, capture network calls, and return structured outputs.

• Outcomes reported: Reduced data gaps; improved workflow stability; more reliable extraction across complex JS sites; real‑time coverage spanning 45,000 websites and 65,000 brands; rapid, hands‑on support (“We got a Slack channel right away…”). “Accurate data is the foundation of everything we do… Nimble makes that possible.” Source: Grips Intelligence case study.

Implementation pattern:

• Use Browserless Drivers for selective rendering and anti‑bot handling.

• Deliver normalized JSON directly into data stacks (e.g., Snowflake/Databricks) via the Web API’s native integrations. See Web API docs.

Track

Street What they do: Brand and eCommerce monitoring.

• Challenge: Prior residential proxy vendor caused crawl failures/outages and rising costs; support was unresponsive.

• Nimble solution: Switched to Nimble’s residential + datacenter proxy fabric with SDK integration.

• Outcomes reported: Higher crawl reliability and success, ~50% cost reduction, initial integration “within hours,” and a three‑year track record of stability; partnership expanded into AI‑driven pipelines. Described as “Reliable. High quality. Approachable.” Source: TrackStreet case study.

Implementation pattern:

• Route jobs through AI‑optimized residential IPs with session controls; monitor budgets and success in the Analytics Hub.

• Use SDK + proxies for domains that don’t require full browser automation; escalate to drivers only when needed.

Qodo

What they do: AI‑powered code review for enterprises.

• Challenge: Replacing static search indexes with live, structured context for code and dependency validation.

• Nimble solution: Deployed Web Search Agents that browse, render, and extract page‑level content from sources like GitHub and library docs; return schema‑consistent JSON.

• Outcomes reported: Significant reduction in support tickets; higher customer satisfaction; models now validate code against current libraries and standards rather than stale indexes. Source: Qodo case study.

Implementation pattern:

• Configure domain‑specific agents and stream validated results to warehouses or RAG stores.

• Use agent observability to track success rates and data freshness.

Why these outcomes repeat with Nimble

Across all three stories, results trace back to the same technical pillars:

• Purpose‑built browser + AI drivers: Selective rendering, network capture, and adaptive fingerprinting keep success rates high without brittle scripts. See Web API.

• AI‑optimized IP fabric: Residential and datacenter options with geo‑targeting and session controls raise reliability and reduce block rates. See Residential Proxies.

• Managed agents for live context: Web Search Agents navigate dynamic sites and normalize outputs for AI/BI. See Agent gallery.

• Compliance by design: GDPR/CCPA/SOC 2, ethical IP sourcing, auditability, and governance. See Trust Center.

Get the pattern working in your stack

• Start with the Web API for broad domain coverage; fall back to Browserless Drivers on JS‑heavy or protected flows. Docs.

• For agentic or always‑fresh use cases, deploy Web Search Agents and stream outputs to Snowflake/Databricks via native connectors. Platform.

• For proxy‑first pipelines, integrate Nimble IP with SDK, then add rendering only where required to balance cost and success. Integrations.

Primary sources

• Grips Intelligence case study: https://www.nimbleway.com/case-studies/grips-intelligence

• TrackStreet case study: https://www.nimbleway.com/case-studies/trackstreet

• Qodo case study: https://www.nimbleway.com/case-studies/qodo