SOLUTION

Automated Data Collection

Q: What kind of data can you collect automatically?

We can collect structured information such as product data, pricing information, catalog content, company data, contact data, event data, or other market data needed for analysis, monitoring, or internal workflows. The key is that the data has a clear business use and can be processed in a practical way afterward.

Q: Is your data collection legal and GDPR-compliant?

That always depends on the type of data involved, where it is collected from, and how it will be used. We work with a focus on sustainable setups and take relevant regulations into account, including GDPR where applicable. The point is not just to collect data, but to do so in a way that is responsible and useful over time.

Q: How often can the data be updated?

That depends on the need. Some projects only require a one-time collection, while others need recurring updates daily or on a fixed schedule. If the data is used for price monitoring, lead generation, or ongoing market tracking, update frequency often becomes an important part of the solution itself.

Q: Can you collect data from complex or dynamic websites?

Yes, often that is possible, but it depends on how the source is built. Some websites load content dynamically, rely on filters, search functions, or technical barriers that make the process more advanced. That is why the solution needs to be adapted to the structure of the source rather than relying on a generic script that easily breaks.

Q: In what format is the data delivered?

The data can normally be delivered in formats that fit your workflow, such as CSV, Excel, JSON, or in a more integration-ready setup. What matters is not just the export format itself, but that the data is delivered in a form that can actually be used in your systems, analyses, or workflows.

Q: How do you ensure data quality?

Collected data often needs to be validated, structured, and cleaned before it becomes useful. That is why we do not just focus on collecting large amounts of information, but on delivering data that is consistent, understandable, and clean enough to be used in practice without extensive manual rework.

Q: What happens if the source website changes?

It is common for external sources to change over time. That is why the collection setup needs to be built with stability and maintenance in mind, not just fast initial delivery. If a source changes its structure, the flow may need to be adjusted, especially in projects where data is collected continuously.

Published 12 februari 2026

Stop spending hours collecting data manually from websites – a task that’s time-consuming, hard to scale, and never seems to end. We build custom web scraping solutions that automatically retrieve, structure, and deliver the information your business needs, continuously and reliably.

See how automated data collection works in practice

Built for companies that need ongoing access to structured web-based data – for price monitoring, market analysis, product data management, or business intelligence – but currently spend too much time on manual collection or lack a scalable way to retrieve the information.

When manual data collection no longer cuts it

A lot of valuable information is publicly available on the web – prices, products, listings, properties, events – but rarely in a structured, usable format. That means someone on your team has to search, copy, and compile data manually, over and over again.

Data needs to be collected regularly to stay current
Information is scattered across multiple sources and formats
Manual collection is time-consuming and hard to scale
Error rates increase as volume grows

We automate data collection – from any website

Our solution automatically identifies and retrieves the right information from the websites you need – whether that means complex search functions, dynamic pages, or supplier portals. All data is validated, structured, and delivered in a format that fits your systems.

Retrieves data from dynamic pages, catalogues, and search forms
Scheduled runs – daily, hourly, or continuous updates
Smart traffic management for stable operation even on demanding sites
All data validated and structured before delivery
Ethical and legally compliant from day one – GDPR and applicable regulations

What does this look like in practice?

When data collection happens automatically instead of manually, time and resources are freed up – while you always have access to current, reliable information.

Hours of manual work eliminated every week
Data is always up to date and consistently structured
Easier to make decisions based on the right information
Scales easily with your catalogue, market, or data sources
Reduced risk of errors and gaps in collection

Common use cases

Web scraping fits a wide range of industries and needs. Here are the most common ones we work with:

E-commerce product data – names, descriptions, specifications, and images from suppliers
Competitor and market monitoring – prices, assortment, and product launches
Price tracking – automatic updates for campaigns and dynamic pricing
Lead and prospect generation – relevant companies and contacts, structured
Property and market data – from listing portals and public registers
Event and schedule data – trade shows, conferences, and events from multiple sources

When is this the right fit?

Automated web scraping is particularly well suited for companies that:

Need ongoing access to data that changes frequently
Currently spend manual time retrieving information from websites
Work with large volumes where manual handling isn’t sustainable
Lack API access to the data they need
Want to make faster decisions based on current market data

Ready to stop collecting data manually?

We’d love to tell you more about how we can automate your data collection – and what it could mean for your workflows and decision-making.

Book a demo

Frequently asked questions

What kind of data can you collect automatically?

Is your data collection legal and GDPR-compliant?

How often can the data be updated?

Can you collect data from complex or dynamic websites?

In what format is the data delivered?

How do you ensure data quality?

What happens if the source website changes?

Ready to take the next step?

We help businesses automate workflows, reduce manual work, and build scalable solutions with AI, data, and smart technology.