Product Data Extraction
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.
What I Can Help With
Extract and normalize product data from external sources.
Typical Problems
Relevant Experience
Extracted and processed product data for price-comparison backends handling 30M+ products daily.
What Is Included
How It Works
We define the product fields and sources, build extractors with proper error handling, and validate the normalized output. From €1,000 per source category.
Starting from €1,000
Per source category. Multiple categories estimated together.
Frequently Asked Questions
Can you normalize across different sites?
Yes — I build a normalization layer that maps each source's fields into your unified product schema.
Related Services
Custom Price Monitoring Systems
Build price monitoring infrastructure for products/sellers.
Custom Data Pipeline Development
Build ETL/import/transform/export pipelines for large datasets.
Systems I've Built
Cenoskop / Levnobot
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.
Niftycent
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.
AnalyticsForWebsite
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.
Not sure what's wrong?
Write what's happening and paste anything relevant — errors, logs, metrics. I'll have a look and tell you what I think.