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You're doing the same thing manually. Every. Single. Day.
Copy-pasting data. Checking prices. Monitoring websites.
Sending the same reports. Watching for alerts that never come
at the right time.
That's not work. That's just noise.
I write Python scripts that eliminate the noise.
→ Web scrapers that pull exactly the data you need
→ Telegram bots that alert you the moment something changes
→ Automation pipelines that run while you sleep
→ APIs that connect your tools so they talk to each other
No bloated software. No subscriptions. Just clean Python code
that does one thing — solves your specific problem.
I've built a 11-module Web3 analytics bot running 24/7 on a
Linux server, a price comparison scraper across two e-commerce
platforms, and a URL shortener API with real-time GeoIP tracking.
If you have a repetitive problem, I probably have a Python
solution for it.
Message me. Let's kill the manual work.
The price comparison scraper across two platforms is the one I'd want details on — normalizing product matching across sites without a shared SKU is usually the hard part, not the scraping itself. How are you matching listings between the two?
Haha yeah that's the real challenge honestly.
For this one I went with normalized name matching —
lowercase, strip punctuation, remove common brand suffixes —
then fuzzy matched with token sort ratio for the edge cases
where names were too different.
No shared SKU so it's never...
The network for creativity
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Connect with clients, get discovered, and run your business 100% commission-free
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Your business is generating data every day.
But can you quickly answer:
📦 Which products are at risk of stockouts?
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