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Customer Stories

The Web Data Engine Behind Agentic Insurance

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Overview

Once confined to research labs and intelligence agencies, AI is now as essential—and ubiquitous—as water. While large enterprises have raced ahead, adopting cutting-edge tools at scale, small businesses have struggled to keep pace.

One of our partners—a leading insurance solutions provider—recognized this growing gap and stepped in to level the playing field. To empower smaller brokers and businesses, they launched a proprietary Agentic Insurance system: a suite of specialized AI agents built to perform targeted, high-impact tasks across the insurance value chain.

These aren’t general-purpose chatbots. Each agent is trained on curated data to handle specific workflows—such as processing claim documents, scoring credit risk, and more.

Feeding these intelligent agents is on-demand, structured data delivered via Grepsr’s API—from public forums to e-commerce platforms. This integration enabled smarter underwriting decisions, faster support, and meaningful progress toward a more inclusive, AI-enabled insurance ecosystem.

Together, we’re making AI-powered insurance more accessible in a post-ChatGPT world—one small business at a time.

Key points

The partner—a leading insurance tech firm—had built a proprietary Agentic Insurance system but lacked the in-house web scraping expertise needed to feed it with on-demand external (web) data, creating a critical gap in its effectiveness.
Grepsr stepped in to provide structured data from 12+ public sources, including from sites like Crunchbase, Glassdoor, job boards, and discussion forums—powering the system with an estimated 100M+ data points over the engagement.
Through ongoing social listening, the partner was able to analyze public sentiment, business perception, and red flags tied to specific companies—helping underwriters make more informed bets about a candidate’s creditworthiness and overall risk profile.
To manage frequently changing data needs, we delivered on-demand API feeds and a custom dashboard that tracked scraping status across all sources—ensuring full transparency and operational agility without any internal scraping overhead.

Challenges

The Agentic Insurance system our partner built was intelligent by design, but its intelligence was only good as the data it consumed.

One AI agent could handle renewals, another could scan web data to flag risk indicators—but without fresh, structured input, the system lacked the context to make accurate decisions.

This is where the core challenge lay. The partner didn’t have the in-house expertise to build a web scraping infrastructure, a capability that requires a different technical mindset and is notoriously expensive to maintain.

Their data needs were also highly dynamic. Sources changed frequently, and the ad hoc nature requests made it hard to enforce consistency or control volume.

Complicating matters further, many of the target websites used aggressive anti-scraping measures like CAPTCHAs, IP blocks, and dynamic content. Site structures changed without notice, breaking parsers overnight. And without visibility into what was being collected—or what failed—they were often left flying blind at critical moments.

The best thing about Grepsr is the personal, engaged service we receive. Unlike most tolls which are mere dashboards that require endless loops of communication with “customer service” reps, Grepsr staff are just an email away. They reply immediately and undertake the solution completely.

David R. CEO

100 M+

Data Points Delivered Across 12+ Sources

85 %

Faster Insights for Underwriters

100 %

Visibility into data pipelines via custom dashboard

Solutions

To move past the roadblocks, we initiated a dedicated check-in call with our partner to understand the full scope of their challenges—including how changes on our end were affecting their workflows.

This conversation became the turning point.

It gave us the context we needed to fine-tune our RPA (Robotic Process Automation) processes and adapt to their evolving needs.

We engineered a custom dashboard to give them complete visibility into their scraping statuses, eliminating guesswork and ensuring transparency across all active sources. To further improve flexibility, we built logic into the automation that allowed the partner to input alternative URLs when a particular source failed to respond.

This gave them the option to reroute their data flow while we simultaneously addressed issues in the original site—laying the foundation for a smarter, more resilient error-handling system.

In the end, we built a robust, adaptive web data pipeline that ensures uninterrupted data delivery to their Agentic Insurance platform, even when source websites proved difficult.

The impact spoke for itself: 100M+ data delivered across 12+ sources, 85% faster insights for underwriters, and 100% visibility into data operations.

A clear win—for both innovation and accessibility—in a post-ChatGPT world.

Similar challenges faced across the industry:

Lack of technical know-how to automate routine data extractions

Businesses need fresh data to gather the best insights. To that end, one or two data extractions a day does not suffice. They need a system that can easily schedule crawl runs at specific intervals, as well as on demand.

Lack of resources - time, money and manpower - for data sourcing at scale

Data extraction is extremely tedious and highly error-prone. Most businesses lack the infrastructure to perform high volumes of data sourcing, and at a quality that yields the best results.

Overcoming data source restrictions

Most websites place limits on how many requests can be made in a set time period, and regularly block bots from accessing their content.

PROCESS

Getting started with Grepsr

Start with Grepsr in a few easy steps. Leave the data sourcing heavy lifting to us, so you can focus on innovation and growth.

Initial project consultation

First, we'll discuss the specifics of your web data needs and the KPIs you would like to have in order to ensure successful project execution.

Instrument web crawlers

We'll then set up automated extractions specific to your use-case, and send you a sample dataset before moving on to a full-scale crawl.

Begin data collection

Once you've approved the sample data, we will start scaling and performing the full run, and deliver the data in the agreed timeframe.

Hassle-free maintenance

Our team will ensure that all subsequent runs are running well, and that your data is delivered as scheduled with the least disruption.

Data acquisition doesn’t have to be a burden

Offload your routine data extractions on our able hands, and focus on more pressing matters.

Get the ball rolling

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