Web scraping that pulls the data in for you.
- ✓Collecting data automatically: prices, leads and market data
- ✓Clean and structured, ready for Excel, your database or an API
- ✓Legal and considerate: robots.txt, rate limits and the GDPR respected
What is web scraping?
Web scraping is the automated collection of data from websites. Instead of copying information by hand, a scraper reads the pages and pulls out exactly the fields you need. Businesses use it to monitor competitor prices, to gather leads or to aggregate market data. The real gain sits in repetition: a scraper keeps running daily, weekly or in real time, without you having to look at it.
For anyone whose data
makes the difference.
E-commerce & retail
Track competitor prices and marketplace listings, so you can adjust your own pricing on evidence instead of on instinct.
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Sales & marketing
Gather contact details and company information from business directories and trade sources, so your sales team starts with a filled list.
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Research & strategy
Aggregate reviews, news and market trends into a dataset you can base decisions on, instead of loose copy and paste work.
More →From raw page to usable data.
Collecting at scale, cleaning it into something usable and staying properly within the rules: that is where a good scraper beats doing it by hand.
Collecting data at scale
A scraper visits web pages automatically, reads their structure and pulls exactly the fields you need. What takes you days by hand runs on its own: once, or on a fixed schedule, from hundreds to millions of data points.
AutomatedClean and structured
Raw pages give you messy data. We clean and structure all of it and deliver it in the format that suits you: CSV for Excel, JSON for your application, or straight into your database, CRM or through an API of your own.
Ready to use
Legal and considerate
We work within the rules: we respect robots.txt and rate limits and we stick to the GDPR. Publicly accessible data we collect properly, personal data only on a lawful basis. We advise on the legal side of your use case up front.
By the rulesFrom question to working scraper.
Analysis & planning
We look at the target sources, decide the best scraping approach and agree exactly which data you need and in which format.
Development
We build a robust scraper with error handling, proxy rotation and data validation, so the output stays reliable even when a source behaves oddly.
Testing & optimisation
We test for reliability, speed and data quality and keep tuning until the scraper returns the right data consistently.
Deployment & monitoring
We take the scraper live with scheduling and monitoring. If a website changes its structure, we detect that and adjust the scraper.
Not sure yet which
sources you need?
In a short call we look at your question with you and advise which data is feasible, how we collect it properly and roughly what it will cost.
And once the data is in?
Collected data only becomes valuable when something happens with it. We connect the scraper to your existing workflows, so fresh data flows into your systems automatically: an alert on a price change, a row added to your CRM or a report that updates itself. That way the scraper is not a standalone tool but a link in your process.
A scraper does in minutes what takes days by hand, and it keeps repeating it. Provided it is built properly, within robots.txt and the GDPR.
Erik puts it like this:
“Building a scraper is easy. Building one that keeps working when the site changes, that is the craft.”
Work we are proud to show.
Frequently asked questions about web scraping.
Click a question for the answer.
Read on.
Ready to pull the data in?
Tell us which data you need. We will look at your sources with you and advise honestly on what is feasible and how we go about it properly.
