At Data Expo Utrecht 2026, we are presenting our full range of data extraction solutions, including Crawling as a Service, web scraping tools, data indexing APIs, and our site search technology. These solutions are built for B2B organizations that need reliable, scalable access to structured and unstructured data from the web or from their own systems. Read on to find out exactly what we are bringing to the expo, who else will be there, and how to connect with our team.
What data extraction solutions will Openindex showcase at Data Expo Utrecht?
At Data Expo Utrecht 2026, we will be showcasing our core portfolio of data collection and search technologies, including Crawling as a Service, custom web scraping pipelines, data indexing APIs, and our embeddable site search engine. These solutions are designed for organizations that need to collect, process, and act on large volumes of web data quickly and accurately.
Our focus at the expo will be on demonstrating how businesses can move from raw web data to actionable insights without building and maintaining complex infrastructure themselves. Visitors will be able to see live demonstrations of how our crawling and scraping tools handle large-scale data collection, how our APIs integrate directly into existing applications, and how our one-line JavaScript site search can be deployed on any website in minutes.
We will also be highlighting our Data as a Service offering, where we deliver clean, structured data feeds directly to clients rather than requiring them to run the extraction process themselves. For organizations in e-commerce, real estate, finance, or market research, this means getting the data they need without the operational overhead.
What is Data Expo Utrecht and what kinds of companies attend?
Data Expo Utrecht is one of the Netherlands’ leading events focused on data management, data analytics, and data-driven business strategy. It brings together data professionals, technology vendors, and decision-makers from across industries who are looking for practical solutions to their data challenges.
Attendees typically include data engineers, IT managers, business intelligence teams, and C-level executives from sectors such as finance, logistics, retail, government, and healthcare. These are organizations that handle significant data volumes and are actively evaluating tools that can improve how they collect, store, analyze, and use information.
For us, Data Expo Utrecht is an ideal setting because the audience closely matches the kinds of organizations we work with every day. Companies attending the expo are generally beyond the early stages of digital transformation and are looking for specialized, scalable solutions rather than generic software. That makes it a genuinely productive environment for conversations about crawling infrastructure, search quality, and custom data pipelines.
How does Openindex’s Crawling as a Service work?
Crawling as a Service means we handle the entire web crawling process on your behalf and deliver the resulting data directly to you. Instead of building and maintaining your own crawler infrastructure, you define what data you need, and we collect, structure, and deliver it as a feed or through a direct API integration into your system.
The process works in a few clear stages. First, we work with you to scope the crawl: which sources need to be monitored, at what frequency, and in what format the output should arrive. From there, our crawling infrastructure handles the technical complexity, including handling dynamic JavaScript-rendered pages, managing rate limits, dealing with pagination, and ensuring the data is clean and consistent.
This approach is particularly valuable for organizations that need continuous data feeds rather than one-off extractions. Whether you are monitoring competitor pricing, aggregating property listings, or tracking regulatory publications, Crawling as a Service removes the need to invest in dedicated engineering time just to keep a crawler running reliably.
What’s the difference between web scraping, crawling, and data extraction?
Web scraping, crawling, and data extraction are related but distinct processes. Crawling is the automated discovery and retrieval of web pages by following links across a website or the broader internet. Web scraping refers to the targeted extraction of specific data points from those pages. Data extraction is the broader term for pulling structured information from any source, including databases, documents, and APIs, not just websites.
What web crawling does
A crawler systematically navigates websites by following hyperlinks, much like a search engine bot does. Its primary job is discovery and retrieval: finding pages and fetching their content. Crawlers are the foundation of any large-scale data collection effort because they determine what content is available to work with.
What web scraping does
Scraping operates on top of crawled content. Once a page has been retrieved, a scraper identifies and extracts specific fields, such as a product name, a price, an address, or a publication date. Scraping requires understanding the structure of a page and writing rules that locate the right data reliably, even when page layouts change.
Data extraction is the umbrella concept that covers both, along with pulling information from non-web sources. Understanding the distinction matters when scoping a project because the technical requirements for each are different, and not every use case requires all three.
Which industries benefit most from Openindex’s data solutions?
The industries that benefit most from professional data extraction and crawling solutions are those where timely, accurate, and large-scale data collection directly affects business decisions. E-commerce, real estate, finance, government, and market research organizations consistently see the highest return from these capabilities.
- E-commerce: Retailers and marketplaces use crawling and scraping to monitor competitor pricing, track product availability, and aggregate supplier catalogs.
- Real estate: Property platforms rely on automated data collection to aggregate listings from multiple sources and keep their databases current in near real time.
- Finance: Financial institutions use data extraction to monitor market signals, track regulatory changes, and gather alternative data for analysis.
- Government and public sector: Agencies use crawling to index and search across large volumes of public documents, legislation, and open data sources.
- Market research: Research firms depend on scalable scraping pipelines to collect pricing data, consumer sentiment, and competitive intelligence at scale.
What these sectors share is a need for data that is fresh, structured, and delivered reliably. Manual collection simply does not scale, and building in-house infrastructure is expensive to maintain. Automated, managed solutions solve both problems.
How can businesses connect with Openindex at Data Expo Utrecht?
The most direct way to connect with us at Data Expo Utrecht 2026 is to visit our stand during the event, where our team will be available for live demonstrations and one-on-one conversations. If you want to make sure you have time with the right person, reaching out before the expo is a smart move.
We welcome conversations with organizations at any stage of evaluating data solutions, whether you have a specific project in mind or are still exploring what is possible. Our team includes specialists in crawling architecture, search technology, and data pipeline design, so we can have genuinely technical conversations on the spot rather than deferring everything to a follow-up call.
If you would like to schedule a meeting at the expo or simply get in touch ahead of the event, you can reach us through our contact page. We look forward to meeting you in Utrecht.
Häufig gestellte Fragen
Can Openindex handle data extraction from JavaScript-heavy or dynamic websites?
Yes, our Crawling as a Service solution is built to handle JavaScript-rendered pages, so dynamically loaded content is not a barrier. Whether a site relies on client-side rendering or complex pagination, our infrastructure manages it without requiring any additional setup on your end.
How quickly can we get started with a crawling or scraping project after the expo?
Onboarding is typically fast. After an initial scoping conversation where we align on sources, frequency, and output format, we can have a pipeline up and running within days rather than weeks. Reaching out before Data Expo Utrecht to share your use case means we can hit the ground running the moment we meet.
Is Openindex's site search solution suitable for large enterprise websites or just smaller ones?
Our embeddable site search is built to scale, making it a fit for everything from focused product sites to large enterprise portals with thousands of indexed pages. It deploys with a single line of JavaScript and integrates with your existing content structure, regardless of size.
What if we only need data occasionally rather than as a continuous feed?
We support both one-off extractions and ongoing data feeds, so there is no requirement to commit to a continuous service if your use case does not demand it. During our conversation at the expo or via our contact page, we can scope the right delivery model based on your actual needs.
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