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Data / Scraping

E-commerce monitoring system with 50+ parsers for price and stock tracking

An e-commerce monitoring system covering more than 50 sneaker and streetwear sites. A set of automated parsers continuously collects prices, availability and product releases (drops) for a consolidated view of the market.

Data / Scraping
2019-2020 Project duration
4 deliverables Features
3 outcomes Measured impact

In the sneaker and streetwear market, releases (drops), price changes and stockouts are fast and closely watched. Manually monitoring dozens of sites, across hundreds of items, is impossible by hand. Automating this monitoring makes the tracking exhaustive and continuous.

The system automatically crawls the catalogs of the monitored sites, extracts prices, availability and promotions, then centralizes this information in consolidated tables. Recording the history of changes makes it possible to track how prices and stock evolve over time.

Running 24/7 with no human intervention ensures that no price or availability change goes unnoticed.

What was delivered

Automated monitoring of 50+ e-commerce sites provides a complete real-time view of market prices and stock.

Price and availability changes are detected and recorded continuously.

The system runs 24/7 with no human intervention, collecting hundreds of prices each day with high reliability.

The collected data is structured for analyzing price and availability trends.

Key results

50+ sites

Automated monitoring

Price tracking

History and alerts

Stock

Availability monitoring

Technologies used

Python
BeautifulSoup
Selenium
PHP
MySQL
Cron
Role Backend Developer
Duration 2019-2020
Engagement Freelance contract (Tier C)

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