I extract product data — prices, offers and product attributes — from e-commerce sites and catalogs, normalize the output and feed it into your pipeline. Used to building scrapers that produce clean product data at scale.
Extract and normalize product data from external sources.
Extracted and processed product data for price-comparison backends handling 30M+ products daily.
We define the product fields and sources, build extractors with proper error handling, and validate the normalized output. From €1,000 per source category.
Per source category. Multiple categories estimated together.
Yes — I build a normalization layer that maps each source's fields into your unified product schema.
Other problems I help with.
Relevant production work.
Crawler monitoring millions of products. Processing 30M products daily and comparing them.
Built and maintain the full crawling pipeline — from scraping through Elasticsearch indexing to price comparison.
Price intelligence engine for the US market. Processing large-scale product data.
Built the data pipeline and crawling infrastructure for large-scale US product monitoring.
Custom solution for collecting and evaluating traffic metrics with emphasis on processing speed and minimizing backend load.
Designed and built the backend for fast traffic metric collection and evaluation.
Describe the problem in a few lines — I'll look at it and tell you what I think.