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.

What Is Data Parsing?

What Is Data Parsing?

Data parsing makes it possible to extract structured information from websites and online sources automatically. It is useful when data needs to be collected regularly, at scale, or without relying on manual copy-paste work.

  • Structured delivery in Excel, CSV, JSON, XML, or via API
  • Support for static sites, JavaScript-heavy platforms, and authenticated flows
  • One-time extraction or recurring automated pipelines
  • Full process: analysis, scraper build, cleanup, deduplication, and delivery

B2B Contact Databases

We build structured B2B contact datasets based on your criteria: industry, geography, company size, job role, and other filters that make outreach more precise.

  • Filtering by industry, geography, company size, and role
  • Structured and deduplicated output
  • Ready for outreach, sales, or marketing use

Competitor Price Monitoring

If pricing, stock status, or assortment changes matter in your market, we can build a monitoring flow that collects the right competitor data on a schedule.

  • Daily, weekly, or custom update schedules
  • Amazon, niche marketplaces, and custom storefronts
  • Price, stock, and catalogue change tracking

Product Catalog Scraping

We extract full product data from catalogues and e-commerce sites for import, migration, comparison, enrichment, or internal analysis.

  • Titles, SKUs, descriptions, images, specs, pricing
  • Delivered in a format suitable for import or downstream processing
  • Multi-category, pagination, and filter handling

Custom Data Collection

If the source is unusual or the structure is complex, we build a custom data collection pipeline tailored to the exact use case and delivery format you need.

  • Flexible support for different sources, structures, and volumes
  • Classified ads, property, jobs, finance, tenders, and more
  • Custom delivery schemas and formats

B2B Contact Databases

We build structured B2B contact datasets based on your criteria: industry, geography, company size, job role, and other filters that make outreach more precise.

  • Filtering by industry, geography, company size, and role
  • Structured and deduplicated output
  • Ready for outreach, sales, or marketing use

Competitor Price Monitoring

If pricing, stock status, or assortment changes matter in your market, we can build a monitoring flow that collects the right competitor data on a schedule.

  • Daily, weekly, or custom update schedules
  • Amazon, niche marketplaces, and custom storefronts
  • Price, stock, and catalogue change tracking

Product Catalog Scraping

We extract full product data from catalogues and e-commerce sites for import, migration, comparison, enrichment, or internal analysis.

  • Titles, SKUs, descriptions, images, specs, pricing
  • Delivered in a format suitable for import or downstream processing
  • Multi-category, pagination, and filter handling

Custom Data Collection

If the source is unusual or the structure is complex, we build a custom data collection pipeline tailored to the exact use case and delivery format you need.

  • Flexible support for different sources, structures, and volumes
  • Classified ads, property, jobs, finance, tenders, and more
  • Custom delivery schemas and formats
USE CASES

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.

PROCESS

End-to-End in 4 Steps

1

Requirements Intake

Tell us the source, the fields you need, and how you want the data delivered. A formal technical brief is not required.

2

Feasibility Review & Scoping

We assess the source complexity, data accessibility, and expected volume, then confirm scope, timeline, and fixed price.

3

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.

4

Data Processing & Delivery

We clean, structure, and deliver the data in the agreed format so it can be used immediately.

FAQ

Technical & Commercial Questions

Is web scraping legally compliant?
Working with publicly available data is often allowed, but the specific source and data type always matter. We take a careful, practical approach and work in line with applicable data protection standards, including GDPR.
What output formats do you support?
Most projects are delivered in Excel, CSV, JSON, or XML. If your system requires a specific schema or direct integration, we can adapt the output accordingly.
What is the typical delivery timeline?
Standard requests are often delivered within 24 hours after scope confirmation. Larger or more complex jobs are estimated individually.
Can you configure automated recurring collection?
Yes. We can set up recurring collection on a schedule and maintain the pipeline over time if the project requires ongoing updates.
What happens if the target site changes its structure?
For ongoing projects, we monitor the extraction and adapt the parser when the source changes. For one-time jobs, we include a short verification window after delivery.
How is pricing structured?
Pricing depends on source complexity, volume, delivery format, and whether the task is one-off or recurring. We usually work on a fixed-price basis for a clearly defined scope.

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Pavel Razumov

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.