Services

Data from the web

For recruiters, sales and lead generation, market research, real estate and price monitoring

Sounds familiar?

• We copy data from websites by hand, every week.
• We need every new job posting or listing in our market as soon as it appears.
• We tried a scraping tool, and it broke the moment the website changed.

What I do

• Custom scrapers and recurring data feeds: job postings, company data, listings and prices.
• Data that arrives cleaned, deduplicated and enriched, as an API, a database or plain files.
• Monitoring that keeps feeds running when websites change.
• Collection within the law: public data only, never anything behind a login.

Proof: Data Department, including its job postings data, and WPOptic. Writing: posts about scraping →

Tell me which websites and what data you need. Email erik@datadepartment.io, call +31 6 52 49 89 64 or send a message.

AI in your business, safely

For companies adopting AI, LLMs and agentic workflows

Sounds familiar?

• Staff paste customer data into AI chat tools, and nobody knows what is allowed.
• We think AI could save us time, but we don’t know where to start.
• Our data can’t leave the building, so cloud AI is out.

What I do

• An assessment of where AI actually saves time in your processes.
• LLM pipelines and agentic workflows: extracting data from documents, classifying, internal assistants.
• Clear rules on what data may go to which model, with self-hosted open models when data can’t leave the building.
• Access control, logging and protection against prompt injection.
• The GDPR/AVG side of AI use.

Proof: self-hosted LLMs on my own GPU hardware, pipelines that distill a large model into small ones, and fine-tuning small open models. Writing: posts about secure AI →

Tell me which task you would like AI to take over. Email erik@datadepartment.io, call +31 6 52 49 89 64 or send a message.

More from the data you already have

For webshops and other companies sitting on years of customer data

Sounds familiar?

• We have years of order data, but we only look at last month’s revenue.
• Customers buy once, and we never hear from them again.
• The related products in our webshop are picked by hand.

What I do

• Recommendations: product-to-product and based on what a customer bought before.
• Customer analysis: segments, RFM scores and early signs that customers are leaving.
• Win-back campaigns: find lapsed customers and send the segments straight to your email tool.
• An analytics warehouse on ClickHouse, with dashboards your team will actually open.

Proof: ClickHouse is the analytics database behind all my products, and I have years of e-commerce speed and SEO work behind me. Writing: posts about e-commerce →

Tell me which shop system and data you have. Email erik@datadepartment.io, call +31 6 52 49 89 64 or send a message.

How we can work together

• Free data consult. An hour-long video call to spar about your question, free of charge. Ask for one →
• Quick scan. A short, fixed-price look at your data or AI question, ending in written advice you can act on.
• Project. I build the system and hand it over with documentation.
• Data feed. I run the feed and keep it working each month, and you receive the data.
• Hourly. Extra hands for your team.

What I work with

Proven, open-source tools, chosen so that someone else can take over the system later.

• Programming languages: Python, Go and JavaScript.
• Collecting web data: Scrapy for crawling at scale, Playwright for websites that need a real browser.
• Storing and analysing data: PostgreSQL, ClickHouse for analytics, and Airflow to run the pipelines on schedule.
• Websites and apps: Django, FastAPI and WordPress.
• Servers: Linux and Docker, with Nomad or Kubernetes to run it all across machines. On your own hardware or a host you choose, and AWS where it is the right tool.