Structured data from websites and platforms for real business use
We collect, clean, and deliver data from websites, marketplaces, catalogues, and public sources. You define what data is needed, and we handle the full pipeline from extraction to structured delivery.
The data is online — the challenge is getting it out
Manual data collection is slow, inconsistent, and doesn’t scale. Here’s what clients typically face:
Not just a script — a working extract built for your use case
Full pipeline: source analysis, extraction, cleanup, and delivery in the format you need.
Structured output
Excel, CSV, JSON, XML, or API/SFTP — in whatever format your team actually uses.
Source-specific approach
Every source is assessed individually: static sites, SPAs, pagination, authentication, and rate limits.
Cleaning & deduplication
We remove noise, duplicates, and normalize values before delivery. You get a clean dataset, ready to use.
One-time or recurring
We handle both standalone extractions and ongoing automated pipelines on daily, weekly, or custom schedules.
Import-ready delivery
Field structure and schema are agreed upfront. Data arrives ready to load into CRM, Excel, BI, or your own database.
Transparent process
Fixed price after scoping, confirmed timeline, no ambiguous hours. You know what you’re getting and when.
Not a generic script and not a blind one-time dump
Not just extraction
We handle cleaning, deduplication, and data prep — you get a usable result, not a raw array of scraped content.
Not just simple sites
We work with JS-rendered pages, SPAs, authenticated interfaces, pagination, and source-specific constraints.
Not without a format
Field structure and output schema are agreed before work starts. You won’t receive “just a file” with no clear layout.
Not without an estimate
We scope the job before starting and give a fixed price. No ambiguous hours, no unexpected add-ons at the end.
Built for Data-Driven Teams
E-Commerce & Retail
Track competitor prices, compare assortments, and monitor market shifts across channels without manual effort.
B2B Sales & RevOps
Build targeted lead lists with clear filters and reduce the manual work involved in prospecting.
Market Research & Analytics
Collect large datasets for analysis, trend monitoring, and competitive benchmarking.
Startups & Product Teams
Validate assumptions, collect industry data, and populate internal databases without building your own scraping infrastructure.
End-to-End in 4 Steps
Requirements Intake
Tell us the source, the fields you need, and how you want the data delivered. A formal technical brief is not required.
Feasibility Review & Scoping
We assess the source complexity, data accessibility, and expected volume, then confirm scope, timeline, and fixed price.
Scraper Development & Extraction
We build the parsing solution for the specific source and handle the technical complexity behind it: pagination, JavaScript rendering, sessions, limits, and other obstacles.
Data Processing & Delivery
We clean, structure, and deliver the data in the agreed format so it can be used immediately.
Technical & Commercial Questions
Pavel Razumov
Project Manager
We build full-cycle digital solutions for business: websites, web applications, AI tools, ad campaigns, and technical support that help companies grow without unnecessary complexity and wasted effort.
We care about the full customer journey, not just the launch. That means looking at the whole path: from the first ad click or search visit to the enquiry, sale, and long-term site performance.
- Web: corporate websites, e-commerce, landing pages, and custom web applications
- Growth: Google Ads, funnels, tracking, lead generation, and ongoing optimisation
- AI: automation, chatbots, integrations, and process improvement
Tell us what data you need
One-time extraction or a recurring automated flow. We scope it, build it, and deliver the data in a format your team can use immediately.







