Data collection and monitoring
Web scraping, APIs, Excel, PDF, S3 and authorized portals. Monitoring prices, catalogs, news, listings and source changes.
Data collection, engineering & implementation support
Fastrium — web scraping, price monitoring and data engineering for business
We help you collect, migrate and use data — from source monitoring and data marts to migration, integration and customer-side implementation support.
What we do
We help businesses collect, migrate and use data without an in-house data engineering team.
Data Engineering and marts
ETL/ELT pipelines, cleaning, normalization, scheduled loads, SQL tables, Power BI-ready datasets and change history.
System integration and migration
Data preparation for new system implementations, master data loading, result validation and vendor coordination.
Customer-side technical support
Technical support for companies without an in-house data engineer: requirements review, format control, data validation and implementation assistance.
What you get
The outcome depends on the task: from a simple table to a recurring pipeline or implementation support.
Data and files
- Excel/CSV
- JSON/XML
- processed PDF exports
- files in S3-compatible storage
Databases and marts
- SQL Server or PostgreSQL tables
- Power BI-ready marts
- normalized reference data
- change history
Recurring processes
- scheduled loads
- logging
- error notifications
- documentation for sources and processing rules
Implementation support
- data prepared for loading into a new system
- formats agreed with the vendor
- migration result validation
- data quality control on the customer side
Implementation & migration
Customer-side technical support
When a company does not have an in-house data engineer or technical coordinator, Fastrium can cover this role during implementation, migration or integration projects.
Not every problem is about writing a scraper or importing a file. Often the customer needs to understand vendor requirements, prepare data in the required format, validate import results, find issues in directories and explain what is happening with the data. Fastrium can act as an external technical specialist on the customer side and help keep the process controlled.
Vendor requirements review
Checking formats, required fields, reference data and import rules.
Data preparation
Cleaning, normalization, entity matching and preparation of import files.
Migration control
Validation between old and new systems, detection of missing records, duplicates and invalid values.
Technical communication
Support in communication with an external vendor, including a foreign vendor when the project requires format and import coordination.
Post-launch support
Checking first imports, fixing issues, documentation and recommendations for further maintenance.
System integration and data migration
Data preparation and migration when implementing new information systems, changing platforms or vendors.
During implementation, what matters is not only file formats, but also reference data quality, completeness of initial master data and the ability to validate results after loading. We help move from exports in the legacy system to verified data in the new one — aligned with vendor requirements and source limitations.
New information system implementation
Data and reference preparation when launching ERP, CRM, WMS and other platforms.
Platform or vendor change
Data migration when moving to a new system or vendor without losing structure and quality.
Initial master data loading
Preparation and import of users, organizations, products, counterparties, contracts and other core entities.
Vendor coordination
Checking formats, required fields and loading rules before and after import.
Post-load quality control
Validation between old and new systems, detection of missing records, duplicates and invalid values.
Migration documentation
Description of sources, transformation rules and loading logic for ongoing support.
AI & Market Intelligence
Data for AI, ML and Market Intelligence
AI projects do not start with a model. They start with data. Fastrium helps collect, clean and structure data for search, classification, RAG, analytics, market monitoring and internal AI/ML solutions.
How we work
We clarify the task first, assess sources and limitations, then propose an approach and output format.
- 1
Discuss the task and data sources
Clarify the business goal, output format and update requirements.
- 2
Check data availability and quality
Assess source structure, limitations and risks before development starts.
- 3
Build a prototype
A quick MVP to validate the approach and agree on data structure.
- 4
Set up scheduled loading
Automate collection and delivery on a schedule.
- 5
Add logging and error handling
Notifications, failure reports and documentation for ongoing support.
- 6
Hand over or maintain the solution
Support scrapers and adapt to changes at the source.
Technologies
Tools we use in production projects.
- Python
- SQL Server
- PostgreSQL
- Power BI
- SSIS
- S3
- pandas
- Playwright
- Selenium
- API
- Excel
- CSV
- JSON
- XML
Why Fastrium
We do not just extract data from websites. We design the process so the data can be used regularly in reporting, analytics and business decisions. The result should be stable, traceable, structured, quality-controlled and maintainable.
- Practical experience in DWH, ETL, BI and industrial scraping
- Python, SQL Server, PostgreSQL, Power BI, SSIS, APIs and S3
- Experience with complex and messy data sources
- Data quality checks, logging and repeatable pipelines
- Customer-side implementation and migration support
- From a quick MVP to a production-ready solution
Cases
Where these services apply in practice — from market monitoring to migration and AI data preparation.
Competitor price monitoring
Daily collection of prices, stock levels and changes for comparison and reporting.
Product catalog parser
Collection of SKUs, names, attributes, categories, prices and availability.
Power BI data mart
Data normalization, reporting tables and scheduled refresh-ready datasets.
Apartment monitoring in a selected development
Regular collection of new listings, prices, areas, floors, finishing and apartment statuses. Helps track price dynamics and new options before purchase.
Game deals and discount monitoring
Collection of prices, discounts and availability in digital stores. Change history can be stored to track worthwhile offers.
Data collection for Market Intelligence
Regular collection of news, publications, prices, assortment and other market signals for analytics, reporting and internal AI/ML tools.
Data preparation for AI/ML
Collection and normalization of catalogs, attributes, SKUs, categories and analogs for search, classification, product matching and internal AI solutions.
API to database integration
Automated data exchange between external APIs and internal systems.
S3 data exchange
Uploading, downloading and processing files in S3-compatible storage.
Customer-side migration support for a new management system
Preparation of initial data for key entities, transformation into the vendor-required format, loading, result validation and technical communication on the customer side during system implementation.
Source change monitoring
Tracking website structure changes, data changes and pipeline errors.
Contact
Describe your task: data source, system, desired output format, update frequency or implementation stage.
We will assess limitations, propose an approach and help define what data is needed and in what format.