Market research teams
Teams that need structured data from public websites, directories, portals and documents before building a report or market map.
Cuberfy · Custom Data Collection & Research
We turn web sources
into structured datasets
Cuberfy collects, cleans and structures data from public and client-authorized web sources so companies can build research datasets, monitor markets, compare products, track competitors and prepare custom data reports.
Who this is for
For companies that need data, not manual copy-paste
If the information exists across many sources but your team needs it structured, cleaned and ready to use, this service is the right starting point.
Pharma and healthcare businesses
Companies that need public product, regulatory, availability, directory or market information collected into a usable dataset.
Sales and lead generation teams
Teams that need company, supplier, marketplace or directory data cleaned and organized for outreach or account research.
Procurement and sourcing teams
Operators comparing suppliers, catalogs, tenders, pricing, availability or public procurement signals across many sources.
Founders and operators
Businesses that know the information exists online, but need a clean spreadsheet, sample or monitoring workflow instead of manual research.
Agencies and consultants
Advisors that need reliable source-backed datasets for client reports, niche research, commercial OSINT and due diligence.
The problem
Useful web data rarely arrives in the format you need
Most business datasets start as messy public information. We help turn that into a defined, source-backed structure.
Web data is scattered
Useful information is often spread across websites, PDFs, portals, directories, product pages and official databases.
Manual research is slow
Copying records one by one is expensive, inconsistent and hard to repeat when the market changes.
Exports rarely exist
Public websites usually do not provide the exact fields, filters and output format your team needs.
Raw data needs cleaning
Names, categories, countries, dates, prices, duplicates and source links need structure before the data becomes useful.
"We know the information exists online, but we need it structured, cleaned and ready to use."
Data types
What data we can collect
The exact scope depends on the sources, access rules and fields you need. These are common business requests.
Company and supplier data
Product catalogs and pricing
Marketplace listings
Medical and pharma public data
Regulatory and official source data
Tender, grant and procurement opportunities
Job postings and hiring signals
Public directories and contact pages
Reviews, ratings and reputation signals
News, publications and public reports
Real estate, automotive or classified listings
Open databases and registries
Sources
Sources we work with
We focus on public or client-authorized sources and keep practical notes about coverage, limits and collection quality.
Public websites
Company pages, catalogs, directories, marketplaces and other openly available web pages.
Official registries
Government portals, public databases, regulatory sources and official datasets.
Documents and PDFs
Public reports, notices, product documents, tables and downloadable files.
Client-approved sources
Sources you provide or authorize us to use for a defined project scope.
We do not collect private patient data, access restricted systems without authorization or bypass technical protections.
What you receive
A practical dataset with source context
The output is built for action: review, import, compare, monitor, enrich or use as the basis for a report.
Structured dataset
Rows, columns, field definitions, source links and a format your team can actually use.
Clean spreadsheet
Deduplication, normalized categories, consistent naming, cleaned fields and practical notes.
Demo collection sample
A smaller sample to validate sources, fields and quality before a larger collection run.
Research summary
A concise explanation of source coverage, limits, data quality and recommended next steps.
Monitoring workflow
Optional recurring updates for prices, listings, opportunities, product availability or new records.
Custom delivery format
Google Sheets, Excel, CSV, Airtable, JSON, database import or a short PDF report.
Process
How the data project is built
The first goal is to reduce ambiguity: what sources, what fields, what quality, what output and what next step.
Define the data goal
You explain the business question, target market, source examples and the output you want.
Map sources and fields
We identify source types, required columns, filters, geography, language and feasibility limits.
Build a sample
We collect a small demo dataset so you can check the fields, quality and practical usefulness.
Collect and clean
We gather matching records, remove duplicates, normalize fields and preserve source references where possible.
Deliver and refine
You receive the agreed file or report, with notes on quality, limitations and possible improvements.
Optional monitoring
If the data changes over time, we can turn the workflow into weekly, bi-weekly or monthly updates.
A sample can usually answer the most important question: will this source set produce useful data?
Dataset preview
Clear columns, ready to use
The final structure is customized, but most datasets include source links, normalized fields and project-specific notes.
Source URL
Where the record was found and when it was checked.
Entity or product
Company, supplier, product, listing, program or other target record.
Category and region
Normalized topic, country, market, language or other filters.
Custom fields
Price, availability, status, description, contact page, deadline, notes or any project-specific columns.
Use cases
Common data collection projects
These are examples, not limits. The form lets you describe the exact source list and columns you need.
Pharma product and availability tracking
Collect public product, catalog, pharmacy, regulatory or availability information where legally accessible.
Competitor price comparison
Monitor product pages, catalogs or marketplaces and structure prices, packages and availability.
Supplier discovery database
Build a clean list of suppliers, manufacturers, distributors or service providers in a selected niche.
Market map for a niche industry
Turn scattered public sources into a dataset for strategy, sales, investment or consulting work.
Tender and grant monitoring
Track public opportunities, deadlines, categories, buyer information and official source links.
Commercial OSINT research
Public-source business intelligence for market research, due diligence and company context, not private investigation.
Lead list building
Collect permitted company and directory information with clear source references and qualification notes.
Document and registry extraction
Extract structured fields from public PDFs, registries, notices and official records.
Start
Start with the scope you need
Send the sources, columns and business goal. We will suggest the smallest useful sample or project format.
Dataset Scoping
from €150
A quick feasibility review for sources, fields and sample structure.
- Source review
- Field list refinement
- Feasibility notes
- Recommended sample plan
- Output format suggestion
Best first step
Demo Collection Sample
from €300
A small source-backed sample before committing to a full dataset.
- Defined source set
- Sample records
- Cleaned spreadsheet
- Source links
- Quality notes
- Next-scope recommendation
Custom Dataset Build
quoted per project
One-time or recurring collection, cleaning and delivery for a defined business use case.
- Custom source list
- Collection and cleaning
- Deduplication
- Normalized fields
- CSV, Excel, Sheet or JSON
- Optional recurring updates
Final pricing depends on source complexity, volume, cleaning rules, update frequency and delivery format.
Responsible data collection
Clear boundaries make better projects
We are careful about source access, data sensitivity and technical limits. This protects the project and keeps the deliverable credible.
- Public and client-authorized sources only.
- No private patient-level medical data.
- No access to restricted systems unless the client has rights and authorizes the scope.
- No bypassing paywalls, CAPTCHAs or technical access controls.
- Source links and collection notes preserved where practical.
- Data limitations explained instead of hidden.
FAQ
Questions before starting
Can you collect data from any website?
No. We first review source access, public availability, technical feasibility and responsible-use boundaries. Some sources are not suitable for collection.
Do you work with medical or pharmaceutical data?
Yes, when the data is public or client-authorized. Examples include public product listings, regulatory sources, clinical trial registries, catalog availability and healthcare directories. We do not collect private patient data.
Can you start with a sample?
Yes. A demo collection sample is often the best first step because it confirms source quality, columns and useful scope before a larger project.
What format will we receive?
Most projects are delivered as Google Sheets, Excel or CSV. We can also discuss Airtable, JSON, database imports or a short PDF summary.
Can this become recurring monitoring?
Yes. If the same sources need to be checked regularly, we can define weekly, bi-weekly or monthly updates.
Can you enrich or clean existing data?
Yes. We can clean, deduplicate, normalize and enrich an existing spreadsheet if the enrichment sources are appropriate for the scope.
How do you price projects?
Pricing depends on source complexity, number of sources, fields, volume, cleaning needs, frequency and output format. A sample helps estimate the full project accurately.
Do you provide legal advice?
No. We provide practical data research and source-aware boundaries, but legal advice should come from a qualified advisor when needed.
Next step
Send your sources and
Send your sources and
the dataset you need
Share the business goal, target websites, required fields and preferred output format. We will recommend the fastest useful scope for a demo collection or full dataset.
Public and authorized sources only. Sample-first scope available.