Web scraping is the automated extraction of data from websites. Instead of copying information manually, a robot reads the page and collects the data — structured, at scale, on schedule.
How it works
We identify the website, the specific pages, and the data points to extract — product prices, company names, job titles, contact details.
A robot navigates to the target URL and reads the page content — including JavaScript-rendered content that standard tools miss.
The robot identifies and extracts the relevant data elements — text, numbers, dates, links — using the rules defined during setup.
Extracted data is cleaned, deduplicated and delivered in the format you need: CSV, JSON, Excel, direct database write or API feed.
When to use it
Web scraping delivers the most value when it replaces a repetitive manual data collection task.
Track competitor prices daily without manual visits. Receive a structured report every morning with changes highlighted.
Extract company and contact data from directories, trade registries and professional networks — ready for CRM import.
Monitor product launches, news mentions, review trends and industry data — without reading every page manually.
Track job postings to understand competitor hiring plans and talent availability in specific skills or geographies.
Monitor supplier product catalogs, pricing and availability changes across platforms automatically.
Track legislative updates, government procurement notices and regulatory publications — so you never miss a relevant change.
FAQ
Web scraping of publicly available data is generally legal when done ethically — respecting robots.txt, not overloading servers, not bypassing authentication, and complying with GDPR and CCPA. We only scrape public data within these boundaries.
We monitor scrapers for failures and update them when site structure changes. This is included in the ongoing service — you receive the data, we maintain the bot.
Yes. We use browser automation (including headless browsers) to handle JavaScript-heavy pages, infinite scroll, pagination, and dynamically loaded content.
Simple scraping projects (single source, clean structure) typically go live within one week. Complex multi-source projects with data integration take 2–4 weeks.
Have a manual data collection task you want to automate? Tell us what you need.
Get a free process analysisGet started
Bring one process you'd like to automate. We'll walk through what it would take, what it would cost, and whether automation is actually the right tool. No sales deck.
Book a free 20-min demo
