Project Description: I need a system that detects newly published listings on a specific website in real time and displays them in a separate, clear interface. The system must automatically identify when a new listing appears and immediately show it, separated from previously seen listings.
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Requirements:
1. Core Functionality:
Automatically monitor the target website at short intervals (every 2–5 seconds).
Detect new listings based on a unique ID or URL.
Display new listings with title, price, and link in a custom interface.
Only newly added listings should appear — no old or previously seen ones.
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2. Technical Implementation:
Develop as a local application (either desktop app or web app).
Use web scraping to extract data from the website.
Store detected listings in a local database (e.g., SQLite).
Provide a user-friendly GUI for fast and simple display of the results.
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3. Required Developer Skills:
Web scraping expertise (e.g., Python with Requests/BeautifulSoup or JavaScript with Puppeteer).
Experience handling dynamic websites with JavaScript-rendered content.
Backend basics: data processing and local data storage (e.g., SQLite).
Frontend development: building a simple interface to display filtered results.
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4. Proof of Functionality & Payment Terms:
Before any payment, the developer must provide clear proof that the system works.
Proof can be given through a video or live demonstration, clearly showing that:
New listings are detected in real time,
Filtered correctly,
And displayed in the custom interface as they appear on the website.
Payment will only be released after successful proof of real-time detection and display.
Goal: Gain a time advantage by instantly seeing newly published listings before other users, enabling fast reaction to interesting offers.
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