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.
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- Applying multi-layer quality checks to eliminate outdated or incorrect data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
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📈 +4900% increase in total listings (200 → 10,000+)
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🏕️ 10× more site-level data per property
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✅ 100% verified & structured dataset
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⚡ Delivered in just 90 days
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🔍 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
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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