Tool for monitoring 40 online stores

Budget: 1000 PLN Deadline: 7 days

Hello. I have been working with Python. I'm ready to create a parser for you. Could I see more details about this task?

Budget: 6666 PLN Deadline: 1 day

Hello, I have extensive experience in this industry, I will do it, contact me!

Budget: 500 PLN Deadline: 10 days

Good day,
This system can be implemented using a Telegram bot, you will be able to edit the sites that interest you and view the articles that interest you.
It can also be implemented as an admin panel website.
I will do it quickly and efficiently.

Budget: 1200 PLN Deadline: 10 days

Good afternoon. Ready to perform.
Have extensive experience in developing automation systems.
I write in Python, hold 2nd place on the platform.

I will develop a solution for monitoring a large number of online stores.
Implement all necessary functionality. There will be an option to edit the list of sites for monitoring.
Configure notifications to be sent when a product appears.
Create a user-friendly interface for management. Optimize.

My portfolio: Freelancehunt
Write, let's discuss the details and I will start working. Expand

Budget: 1500 PLN Deadline: 10 days

Good morning,

This is Patryk Samson from WebyJuice – we would be happy to create a dedicated monitoring tool for approximately 40 online stores. Our company is registered in Poland and issues VAT invoices.

We will implement:
- Continuous scanning of selected stores for interesting products.
- Real-time SMS notifications when a product appears.
- The ability to edit store and product names in an intuitive panel.
- Flexible configuration of scanning frequency and reports.

We have experience in building advanced monitoring and automation tools for brands such as Jaguar, Porsche, BMW, Hymer, Land Rover, Mini, and Toyota. Examples of our projects can be found at: webyjuice.pl/portfolio.

Write to us, we will discuss the details and start the project! Expand

Budget: 4200 PLN Deadline: 14 days

Hello! 👋
Ready to offer a solution for continuous monitoring of online stores and quick notifications 📦📲

What I propose:
🔍 Website Monitoring:
Regular scanning of ~40 stores on a schedule (every 5-15 minutes or by agreement)
Searching for needed products by name, category, or other criteria

✏️ Flexible list management:
Simple editing of the store list and the list of needed products (for example, via Google Sheets or a simple web interface)

📨 Notifications:
SMS messages when the desired product appears
Alternatively or concurrently — notifications on Telegram / Email for convenience

⚙️ Additional:
Setting minimum price or other filters for even more precise selection
Logs of all checks for your control
Implementation:
Using Python + n8n or a separate script with a database
Stable hosting (or setup on your server/VPS)
Reliable SMS integration via services like Twilio or Ukrainian gateways (your choice)

Terms and budget:
⏳ Terms:
10-14 working days for full implementation and testing

💵 Budget:
from 700 to 1000 USD, depending on the complexity of the stores (some may require JavaScript processing or bot protection).

My vision:
✅ Reliability: minimal errors even under heavy loads
✅ Ease of management: you can easily add/edit products yourself without a programmer
✅ Speed of response: prompt SMS notifications for instant decision-making

If you're interested, I can also briefly outline the architecture scheme 🛠️

Would it be convenient to discuss the details? 🚀 Expand

Budget: 500 PLN Deadline: 1 day

Good morning!
We are ready to help develop a similar service, but it is important to remember that the solution for each website - online store will be done in a separate order.
The point is that each website is unique and to create a quality system, you can start with 1 or several websites for monitoring.

Budget: 499 PLN Deadline: 1 day

Good afternoon, is this the price for writing monitoring for 1 store?
You need to see which stores are available and what exactly to monitor. The final price depends on the stores, the type of monitoring, and the required data.