Data Parsing in Wrocław


Companies in Wrocław — manufacturers, distributors, logistics operators and IT companies — operate in a highly competitive environment where up-to-date market data becomes a competitive advantage. Manual data collection from hundreds of websites is not feasible, and paid aggregators do not always cover the required sources.
We develop parsers that automatically collect the required data on a schedule and deliver it in a convenient format: Excel, JSON, database or directly into your system.
We study target websites, identify data structure and anti-scraping measures. We design parser architecture considering stability, update frequency and data volume.
We write a reliable parser in Python (Scrapy, Playwright, Selenium) with error handling, proxy rotation and anti-bot mechanisms. We test on real data with maximum edge-case coverage.
We configure a database for storing collected data with the required structure. We implement deduplication, validation and normalisation of data from different sources.
We configure run schedules and automatic data delivery: export to Excel, send to CRM, API endpoint or notifications about significant changes.
Enterprises monitoring supplier prices, raw materials and competing products in the Polish and German markets.
Operators collecting data on carrier rates, cargo availability and market prices on routes.
Companies aggregating data for their clients or building information products based on open data.
Analytics companies collecting financial data, news and market indicators.
Teams building aggregators, marketplaces or price comparison services.
Services monitoring competitor prices, reviews and availability in booking systems.
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A stable script collecting data from required sources on a schedule.
Collected data in a convenient format: database, Excel, JSON or API.
Regular runs without your involvement with operational notifications.
Complete source code and documentation for independent maintenance and expansion.
We will review your tasks, select the right technology stack, and prepare a preliminary plan in 30 minutes.
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