Which customer cases will Openindex discuss at Data Expo Utrecht?

At Data Expo Utrecht 2026, we will discuss customer cases from industries including e-commerce, real estate, finance, government, and market research. These projects share a common thread: organizations that needed to collect, structure, and search large volumes of data at scale. The sections below unpack the specific challenges we solved, the technologies we used, and how you can meet us at the event.

What industries do Openindex’s customer cases come from?

Our customer cases at Data Expo Utrecht come from five core sectors: e-commerce, real estate, finance, government, and market research. Each of these industries depends heavily on structured, up-to-date data to drive decisions, and each came to us with a distinct set of requirements around data collection, indexing, and search.

E-commerce clients typically need to monitor product data across thousands of pages, keeping pricing, availability, and product descriptions current. Real estate platforms deal with listing data that changes rapidly and must be indexed and surfaced accurately for end users. Finance and market research organizations require reliable data feeds from multiple sources, often under strict compliance requirements. Government clients, meanwhile, frequently need internal knowledge bases and document search systems that work across unstructured content.

What these industries have in common is that generic, off-the-shelf data tools rarely meet their needs. The volume is too high, the data too varied, and the performance expectations too demanding. That is why the cases we bring to Data Expo Utrecht reflect tailor-made solutions rather than packaged software.

What data challenges did Openindex solve for its clients?

The data challenges we solved for clients typically fall into three categories: collecting data reliably at scale, keeping that data current without manual intervention, and making it searchable in a way that returns relevant results fast. These are not isolated problems. In most projects, all three were present at once.

One recurring challenge is data fragmentation. Many organizations hold valuable information across multiple internal systems, public web sources, and third-party platforms, but have no unified way to query it. We have built solutions that crawl and index these disparate sources into a single searchable layer.

Another common issue is data freshness. For sectors like real estate and e-commerce, data that is even a few hours old can be misleading. Our crawling infrastructure is designed to recrawl at high frequency and update indexes incrementally, so that search results always reflect current reality.

Legal compliance is a third challenge that comes up consistently, particularly with clients in government and finance. Data collection must respect robots.txt directives, GDPR requirements, and platform-specific terms of service. We build these constraints into the crawling architecture from the start rather than treating them as an afterthought.

How does Crawling as a Service work in real client projects?

Crawling as a Service means we manage the entire data collection process on behalf of the client. Instead of building and maintaining their own crawling infrastructure, clients define what data they need, and we deliver it as a structured feed or direct integration. The client never has to manage crawlers, proxies, scheduling, or error handling.

In practice, a typical project starts with a scoping conversation where we map the target data sources, the required update frequency, and the output format the client’s systems expect. We then configure and deploy the crawling infrastructure, monitor it continuously, and handle any changes to source website structures that would otherwise break the data pipeline.

For one market research client, this meant delivering daily competitive intelligence feeds drawn from hundreds of sources, normalized into a consistent schema and ready to load directly into their analysis platform. For a real estate portal, it meant near-real-time listing data from multiple regional sources, deduplicated and enriched before delivery.

The key advantage of this model is that the client’s internal team stays focused on using data rather than collecting it. Maintenance, scaling, and reliability become our responsibility, not theirs.

What search technologies power Openindex’s client solutions?

We build our search solutions on proven open source technologies, primarily Apache Solr and Lucene, Elasticsearch, and Apache Nutch with Hadoop for large-scale crawling. The choice between these depends on the client’s data volume, query complexity, and infrastructure preferences.

Apache Solr and Lucene are well suited to structured document search, particularly where relevance tuning and faceted filtering are important. Elasticsearch works well for clients who need distributed search across very large datasets with real-time indexing requirements. Apache Nutch handles the crawling layer for projects that require broad web coverage at high volume.

Beyond the core search engine, we often build a thin integration layer that allows clients to connect these capabilities to their existing applications. For websites, this can be as simple as a single line of JavaScript that adds a fully functional site search. For more complex integrations, we expose the search index through a dedicated API that the client’s development team can query directly.

Our open source orientation means clients are never locked into a proprietary platform. The technology stack we recommend is one they can understand, extend, and operate independently if they choose to.

Why is Data Expo Utrecht relevant for B2B data teams?

Data Expo Utrecht is one of the Netherlands’ leading events for professionals working with data infrastructure, analytics, and data-driven strategy. For B2B data teams, it offers a concentrated opportunity to see how peers in other industries are solving similar challenges and to evaluate technology providers in a focused setting.

The event draws decision-makers from exactly the sectors we work with most: organizations managing large data pipelines, building internal search systems, or looking to automate data collection that currently relies on manual processes. That makes it a natural venue for conversations about web crawling, data extraction, and search architecture.

For teams that are evaluating whether to build or buy their data infrastructure, events like Data Expo Utrecht provide useful benchmarks. Seeing real customer cases presented in context, rather than marketing materials, helps teams ask better questions and make more informed decisions.

How can attendees connect with Openindex at the event?

Attendees at Data Expo Utrecht can connect with us directly at our stand, where we will be presenting customer cases and demonstrating our crawling and search solutions. We welcome conversations with data engineers, product owners, and technology decision-makers who are working through challenges in data collection, indexing, or site search.

If you want to prepare a more focused conversation before the event, you are welcome to reach out in advance. Whether your question is about a specific industry use case, a technical integration challenge, or simply understanding whether our approach fits your context, we are happy to talk it through.

How Openindex helps with data collection and search at scale

We offer end-to-end solutions for organizations that need reliable, scalable data infrastructure. Here is what we bring to client projects:

• Crawling as a Service: We manage the full data collection pipeline and deliver structured data feeds or direct integrations, so your team focuses on using data rather than collecting it.
• Custom search solutions: Built on Apache Solr, Lucene, and Elasticsearch, tailored to your data structure and query requirements.
• Site search integration: Add a powerful search layer to your website or application with minimal development effort.
• API development: Connect your data index to any application through a purpose-built API.
• GDPR-compliant data extraction: Legal compliance is built into our crawling architecture from day one.

We work with organizations in e-commerce, real estate, finance, government, and market research, and we build solutions that fit your specific data challenges rather than adapting your needs to a generic tool. Visit our website to learn more about what we do, or get in touch to plan a conversation before or during Data Expo Utrecht 2026.