our projects

Financial Services

Financial service that saves time and money for people, businesses, and banks by identifying who charged a card. It matches transaction descriptions from debit and credit statements with information about the underlying business, transaction category, as well as bank statement data. All of this can be accessed via web portal or a browser plugin.

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Challenge


  • To extract public information from websites (e.g., data on the location of retail outlets in a given area).
  • To receive and store any data from the Internet in a structured way.
  • To configure the scraping process for chain stores.


Goal


  • Create a service for quick parsing of data from websites.

Result

A cloud service that collects information from websites into the database. The developed architecture allows users to expand the capabilities of the scraping system. To gather data on the location of all outlets, we have set up a scraper that enters postcodes and stays up to date on information about the chain stores.

What you get
Automation

of data collection from web portals

Configuration

for data collection happens in 20 minutes

The collected

information is organized in the database

project team
2
Developers
1
Project manager
stack of technologies
Azure
C#
.Net Core
MS SQL
Puppeteer Sharp
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