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AI-Driven Crawler for Market Data Acquisition

MNDA

SME
Company Type
Mainz, Germany
Location
Project work
Engagement Model
1 - 5 people
Team Size
Less than 3 Months
Duration
Less than $20K
Budget

About

An AI-powered Proof of Concept for automated market data extraction, this project rapidly delivered a functional prototype that collects and analyzes job listings from diverse online sources. By combining LLM-based extraction with agile development, the solution proved both scalable and compliant - demonstrating the power of AI for fast, accurate, and risk-reduced data gathering.

Challenge, approach, and impact

1. Comprehensive Data Collection Across Diverse Sources

The project required gathering job listings from both structured and unstructured sources including public job portals and recruitment agency websites, building a centralized, reliable market database.

2. Ensuring Legal and Ethical Compliance

A core challenge was to ensure the data collection process adhered strictly to relevant legislation and ethical standards, gathering only valid and authorized job listings while avoiding any unauthorized practices.

3. Navigating High Uncertainty and Technical Complexity

With no predefined solution, our team faced significant uncertainty around technical feasibility and efficiency. Success depended on rapid experimentation, iterative development, and ongoing evaluation to meet the client's expectations for data quality and cost-effectiveness.

4. Designing for Scalability and Future Expansion

The solution needed to be robust and scalable, capable of adapting to new data sources, markets, and changing requirements—ensuring long-term value and easy extension to other regions or data domains.

How we built

AI & ML Solutions
PaaS
SaaS

Testimonials

Juraj Urban, Frontend Developer @ Cassovia Code

Cassovia Code

Verified Testimonial

Contributing to this AI-powered prototype was both challenging and rewarding. I developed a modern frontend that turns complex data into clear, actionable insights. Working closely in a small team, I had the chance to apply the latest technologies and see firsthand how scalable AI solutions can transform data collection and analysis.

Team structure

Client team

Ulrich Böttger's avatar

Ulrich Böttger

Head of projects

Project stakeholder

The client stakeholders were working closely with the team at Cassovia Code

Agency team

2 x Frontend Developer's avatar

2 x Frontend Developer

Production

1 x AI Engineer's avatar

1 x AI Engineer

Production

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