CDMSoftech Solution

Web Research Case Study: Scaling a Marketplace to 10,000+ Verified Listings

Web research case study: Through a structured web research and data validation approach, CDMSoftech delivered a 4,900% increase in verified listings, transforming a fragmented dataset of just 200 properties into a scalable database of 10,000+ fully validated camping listings within 90 days.

Web research case study for large-scale camping property and site-level data

10-20%

Direct Revenue Impact

25%

Increase in website visits

24%

Increase in direction requests

18%

Increase in booking calls

Project Overview

Web research case study: A global outdoor accommodation marketplace partnered with CDMSoftech to overcome fragmented data, inconsistent listings, and slow inventory growth. The objective was to rapidly scale high-quality camping site listings while maintaining strict data accuracy.

Within just 90 days, CDMSoftech delivered a robust, scalable, and verification-driven data solution that transformed scattered online information into a structured, growth-ready database.

The Challenge

As the platform expanded, it faced critical data and operational hurdles:

  • Camping and campsite data spread across multiple external websites
  • Inconsistent pricing models, availability rules, and policies
  • Complex validation of state-wise tax rates and PMS details
  • Manual processes that couldn’t scale beyond a few hundred listings
  • A strict deadline to grow inventory without sacrificing accuracy

The marketplace needed a trusted data partner who could execute at scale — fast, clean, and error-free.

The CDMSoftech Solution

CDMSoftech implemented a systematic, accuracy-first web research framework designed for large-scale data enrichment.

Our approach included:

  • Identifying and mapping camping properties linked to external listing platforms
  • Extracting site-level data such as amenities, accommodation types, capacities, and usage rules
  • Verifying nightly, weekly, and monthly pricing along with tax structures
  • Manually validating availability rules, booking policies, and PMS information
  • Applying multi-layer quality checks to eliminate outdated or incorrect data

A dedicated 15+ member research team worked in parallel workflows to ensure speed, consistency, and precision.

📊 Key Growth Metrics

  • 📈 +4900% increase in total listings (200 → 10,000+)

  • 🏕️ 10× more site-level data per property

  • 100% verified & structured dataset

  • Delivered in just 90 days

  • 🔍 20+ data attributes captured per listing

This before-and-after comparison highlights the measurable impact of our web research and data validation approach.

Metric Before CDMSoftech After CDMSoftech
Total Listings 200 properties 10,000+ verified properties
Campsites per Property Limited or inconsistent 20+ site-level entries per property
Data Structure Unstructured and scattered Fully structured and standardized
Pricing Accuracy Inconsistent Verified nightly, weekly, and monthly pricing
Data Validation Manual and limited Multi-layer quality checks at scale
Scalability Not scalable Enterprise-ready data pipeline

Our Approach

1. Property Identification

Identified Hipcamp properties with external booking websites and verified authenticity.

2. Data Structuring

Designed a standardized schema covering property info, sites, pricing, booking, and policies.

3. Extraction & Validation

Combined automated extraction with manual verification to ensure data accuracy.

4. Final Delivery

Delivered clean, structured, and ready-to-use datasets for further integration.

Results

200 to 10,000

Database Growth

High

Data Accuracy

Scalable

Dataset Delivery

100%

Structured Property Data

20+

campsites per property

Here's what our customers say

We had the pleasure of working with CDMSoftech for three months on a very complex project. They approached the work with dedication, adaptability, and a strong work ethic—always willing to go the extra mile, including working longer hours when needed. Throughout the project, they navigated shifting requirements and maintained a high standard of work. Communication was excellent as well. Their agency manager made it easy to share updates and discuss changes promptly. I would 1,000% work with CDMSoftech Solutions again!
Blake Frimoth giving testimonial for CDMSoftech Solution
Blake Frimoth

Key Takeaways from This Web Research Case Study

Challenges

  • Camping property and site-level data scattered across multiple external platforms
  • Inconsistent pricing, availability rules, and policies
  • Difficulty scaling manual research beyond a few hundred listings
  • Tight timelines with zero tolerance for data inaccuracies

Strategy

  • Designed a structured data framework covering properties, campsites, pricing, and policies
  • Applied systematic web research across multiple external sources
  • Implemented multi-layer manual validation for accuracy at scale
  • Deployed a dedicated research and quality assurance team

Results

  • Scaled from 200 to 10,000+ verified camping properties
  • Captured 20+ site-level data points per property
  • Achieved fully structured and standardized datasets
  • Delivered accurate pricing, tax, and availability data within 90 days

What Made the Project Successful

  • Accuracy-first research methodology
  • Clear data structuring from day one
  • Strong quality control and validation workflows
  • Scalable execution backed by an experienced research team

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