Laptop and data visualization printouts on an exhibition booth table with a server model prop, lit by warm spotlights in a convention hall.

Which new services is Openindex launching at Data Expo Utrecht?

Idzard Silvius ·

At Data Expo Utrecht 2026, Openindex is officially launching two new services: Crawling as a Service and an expanded suite of data extraction and search solutions designed for organisations that need reliable, scalable access to structured and unstructured data. These launches mark a significant step forward for us as we bring enterprise-grade data collection and search capabilities to a broader range of B2B clients across the Netherlands and beyond. Read on to discover what we are showcasing, how our new services work, and which industries stand to benefit most.

What will Openindex be showcasing at Data Expo Utrecht?

At Data Expo Utrecht 2026, Openindex will be showcasing a full portfolio of advanced data and search technologies, including live demonstrations of our web crawling infrastructure, search engine integrations, and data delivery pipelines. Visitors will be able to see firsthand how our tools handle large-scale data collection, indexing, and search across both public websites and private enterprise systems.

The expo stand will feature interactive demos covering three core capability areas:

  • Crawling and web scraping infrastructure built on open-source technologies including Apache Nutch and Hadoop
  • Search engine solutions powered by Apache Solr and Elasticsearch, deployable with a single line of JavaScript
  • Data delivery pipelines that transform raw crawled data into clean, structured feeds ready for business use

Beyond the technology itself, we will be available for one-on-one conversations with technical teams, product owners, and decision makers who want to understand how these solutions can be adapted to their specific data challenges. Data Expo Utrecht is one of the most relevant events in the Dutch data landscape, and it gives us a valuable opportunity to connect directly with organisations that are actively seeking better ways to collect, organise, and search their data.

Which new services is Openindex officially launching at the expo?

Openindex is officially launching Crawling as a Service and a new Data as a Service offering at Data Expo Utrecht 2026. These two services allow organisations to outsource their entire data collection and delivery process to us, receiving clean, structured data without needing to build or maintain their own crawling infrastructure.

The Crawling as a Service product is designed for businesses that need regular, automated extraction of web data at scale. Rather than managing crawlers, proxies, scheduling, and error handling internally, clients simply define what data they need and we handle the rest. The Data as a Service offering goes one step further by delivering that data in pre-formatted feeds directly integrated into a client’s existing systems or applications.

Both services are built with legal compliance in mind, respecting GDPR requirements and ethical data collection standards, which is particularly important for organisations operating in regulated sectors such as finance and government.

How does Openindex’s Crawling as a Service work?

Crawling as a Service works by fully managing the web crawling process on behalf of a client, from initial configuration and scheduling through to data extraction, cleaning, and delivery. Organisations define the data sources and data types they require, and we operate the crawling infrastructure, handle technical obstacles, and return structured, usable data on a defined schedule.

The underlying infrastructure relies on proven open-source technologies, particularly Apache Nutch and Hadoop, which are capable of processing millions of URLs efficiently. This means the service scales naturally as data requirements grow, without clients needing to invest in additional infrastructure or engineering capacity.

A typical Crawling as a Service workflow looks like this:

  1. Scoping: The client defines target sources, data fields, and delivery frequency
  2. Configuration: We set up crawl rules, selectors, and quality filters tailored to those sources
  3. Execution: Automated crawlers run on schedule, extracting and validating data continuously
  4. Delivery: Clean data is delivered as structured feeds, via API, or directly integrated into the client’s platform

This approach removes the operational burden of web scraping entirely from the client’s side, making it especially attractive for organisations that need consistent, high-quality data but lack the internal resources to maintain a crawling operation.

What industries can benefit from Openindex’s new data solutions?

The new data solutions from Openindex are particularly well suited to industries where large volumes of external data drive core business decisions. E-commerce, real estate, finance, government, and market research organisations all stand to benefit significantly from reliable, automated data extraction and search capabilities.

Here is how each sector can apply these services in practice:

  • E-commerce: Monitor competitor pricing, track product availability, and enrich product catalogues with external data
  • Real estate: Aggregate property listings from multiple sources into a single, searchable index
  • Finance: Collect and structure market data, regulatory updates, and public financial disclosures
  • Government: Index large volumes of public documents and make them searchable through internal knowledge bases
  • Market research: Gather structured datasets from across the web to support trend analysis and competitive intelligence

What connects these use cases is a shared need for data that is accurate, timely, and delivered without performance concerns. Organisations in these sectors often deal with data at a scale that makes manual collection impractical, and they require solutions that can adapt as their data needs evolve.

How can organisations integrate Openindex’s search tools into their systems?

Organisations can integrate Openindex’s search tools into their systems in several ways, ranging from a single-line JavaScript embed for public-facing websites to full API integrations for complex enterprise environments. The approach depends on the scale of the deployment and the level of customisation required.

For straightforward website search, our solution can be added to any existing site with minimal technical effort. For more demanding environments, such as private intranets, knowledge bases, or applications that need to search across millions of indexed documents, we offer API-based integrations built on Apache Solr and Elasticsearch. These allow development teams to connect their applications directly to our search infrastructure and query indexed data in real time.

Key integration options include:

  • JavaScript embed: Add a fully functional search interface to any website with one line of code
  • REST API: Query indexed data programmatically from any application or backend system
  • Data feed delivery: Receive structured data directly into an existing database or data warehouse
  • Custom development: Work with our team to build a tailored search or data integration solution

All integration paths are designed to minimise the technical overhead for the client’s team while delivering accurate, relevant results quickly.

How Openindex helps with data extraction and search at scale

We bring together crawling, data extraction, and search into one cohesive offering, so organisations do not need to stitch together multiple vendors or maintain complex in-house infrastructure. Whether you need a powerful search engine for your website, a continuous feed of competitor data, or a fully managed crawling operation, we have a solution built for it.

Here is what working with us looks like in practice:

  • Fully managed Crawling as a Service that handles everything from configuration to delivery
  • Data as a Service feeds delivered in structured formats, ready for immediate use
  • Scalable search engine solutions based on Apache Solr and Elasticsearch, deployable across websites, apps, and intranets
  • Custom development for organisations with unique data or search requirements
  • GDPR-compliant data collection practices across all services

If you are attending Data Expo Utrecht 2026, come and find us at our stand for a live demo. Or, if you would prefer to discuss your specific data and search challenges before the event, get in touch with us and we will be happy to set up a conversation.

Häufig gestellte Fragen

Can Openindex's Crawling as a Service handle data collection from websites that require authentication or have anti-scraping measures?

Yes, Openindex's infrastructure is built to handle a range of technical challenges including login-gated content and common anti-scraping mechanisms. During the scoping phase, we assess the specific technical requirements of your target sources and configure the crawlers accordingly to ensure consistent, reliable data delivery.

What does getting started with Crawling as a Service typically look like, and how long does onboarding take?

Getting started begins with a scoping conversation where you define your target data sources, required fields, and delivery frequency. From there, our team handles configuration and testing, meaning most clients can expect to receive their first structured data feeds within a matter of days rather than weeks.

How does Openindex ensure data collection remains GDPR-compliant?

All of our crawling and data extraction services are designed with GDPR requirements and ethical collection standards built in from the ground up. We only collect publicly available data, respect robots.txt directives, and can advise clients in regulated sectors such as finance and government on compliant data usage practices.

Is Openindex's search solution suitable for smaller organisations, or is it primarily aimed at large enterprises?

Our search solutions are designed to scale in both directions. Smaller organisations can get up and running quickly using our single-line JavaScript embed, while larger enterprises can leverage full API integrations built on Apache Solr and Elasticsearch for high-volume, complex search environments.

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