Data Parsing in Bydgoszcz


Manufacturing and trading companies in Bydgoszcz operate in conditions where supplier prices, competitor specifications and market data change daily — and manually monitoring these changes consumes too many resources.
We develop automated data collection systems that monitor the sources you need in the background and deliver current information directly to your working tools.
We study what data you need and where to get it, assess the technical characteristics of source websites and identify the optimal collection approach without violating terms of service.
We write scripts in Python (Scrapy, Playwright, Selenium) or use specialised tools, ensuring anti-bot protection bypass and stable operation when page structure changes.
We configure storage of collected data in a convenient format (JSON, CSV, Excel, database) with cleaning, deduplication and structuring for immediate use.
We configure scheduled parser runs and notifications when key data changes — for example when a competitor's price drops or a new product appears on the market.
We monitor raw material and component supplier prices and track technical specifications of competing products.
We collect data on competitor vacancies, SaaS tool pricing and changes in partner technical documentation.
We track changes in regulatory registries, substance pricing and publications on new standards.
We collect carrier tariff data, fuel prices and port congestion for rapid market response.
We monitor retail prices for your products at retailers and track competitor pricing changes in online channels.
We collect data on competitor programmes, tuition costs and rankings for strategic planning.
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a configured script with stable operation and error handling when the source changes.
a cleaned and normalised dataset in a format convenient for you.
the parser works on a schedule without manual triggering.
alerts when important changes appear in monitored data.
We will review your tasks, select the right technology stack, and prepare a preliminary plan in 30 minutes.
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