Python 即時商品監控開發

@DeveloperStation

Hi there, I’ve developed multiple web scrapers that extract product data from e-commerce sites like Amazon and eBay, and I’ve also built a fully automated product listing tool for eBay. I understand the importance of using reliable proxies and rotating them effectively to avoid IP bans. In addition to web scraping, I have extensive experience with backend technologies like Node.js, Python, PHP, and server management. I can handle everything from server setup to CI/CD pipelines, ensuring your project runs smoothly. Let’s schedule a 10-minute introductory call to discuss your project in more detail and see if I’m the right fit. Feel free to message me anytime—I usually respond within 10 minutes. I’m eager to learn more about your exciting project. Best, Adil

@corpmember29

您好， 我已仔细研读了您关于构建基于 Python 的跨平台实时产品监控系统的需求。我完全理解您对极速检测、结构化关键词追踪以及即时推送通知的迫切需求。 我是一名全栈 Python 工程师，在实时数据系统、异步网络编程以及事件驱动架构方面拥有超过 10 年的丰富经验。我擅长运用 aiohttp、WebSockets 和 Playwright 等技术，并精通构建可扩展的后端服务（基于 Docker/Linux 环境）。 “我将为您提供为期两年的免费持续技术支持及完整的源代码。我们将采用敏捷开发模式进行协作，并为您提供从零起步直至系统正式上线运行的全方位协助。” 我能够为您交付一套稳健且高度可扩展的监控引擎，该引擎在运行速度、系统可靠性及代码可维护性方面均经过了深度优化。 我已准备就绪，随时可以立即投入工作。期待您的回复。 谢谢。

@solutionsplayers

Hello, I can build a high-performance Python monitoring system that tracks all listed platforms in real time based on your keyword searches and pushes instant in-app notifications when new items appear. It will include: • Async Python crawler (aiohttp / Playwright hybrid for speed) • Keyword-based monitoring (not category scraping) • Multi-platform support (Mercari, Yahoo Auctions, Bunjang, Fril, Carousell) • Near real-time detection with optimized polling strategy • Instant notification module (WebSocket / local push system) • Config file for keywords, frequency, and targets • Clean, modular code with full documentation I will design it for low-latency detection (sub-second internal processing where API allows) with scalable architecture for multiple sources. Deliverables: • Full Python source code • Requirements + setup (Linux/Docker ready) • Configurable keyword system • Notification history + logging system • Clear usage guide Thanks!

@heindrickd17

Hi! I'm excited about the opportunity to work on your Python monitoring program. With extensive experience in Python development, I specialize in web scraping, real-time data monitoring, and notification systems. My proficiency with libraries such as aiohttp, Selenium, and Playwright positions me well to tackle the challenges of this project. Could you clarify if you have any specific keywords in mind for the initial setup, or would you prefer to define those later? Additionally, are there any particular platforms or features you consider as a priority for the initial version? In a previous project, I developed a real-time inventory tracking system for an e-commerce platform. I utilized WebSocket for push notifications and implemented advanced scraping techniques to ensure timely updates. This project involved overcoming various anti-scraping measures and optimizing for speed, achieving notification delivery within a second. For your project, I can create a highly efficient monitoring system that adheres to your performance requirements, implement a robust notification module, and ensure the code is well-structured and maintainable. I will also provide comprehensive documentation for installation and usage. I would love to discuss your project further and explore how I can help you achieve your goals. Please feel free to reach out for a chat! Best regards, Heindrick

@tushortz

Hello, I understand you need a Python-based monitoring system to detect new products on multiple platforms and provide near real-time in-app notifications. I’m Taiwo, a Senior Software Developer based in the UK with 10 years of experience. My background includes working with companies like IBM, UK Government, BMW, and Sky, where I developed robust and scalable backend systems. I also hold a Master's in Cyber Security and a Bachelor's in Applied Computer Science. I can develop a solution leveraging Python with libraries like aiohttp, Playwright, or Selenium for efficient scraping. I’ll use WebSocket or similar technologies for instant push notifications. The system will be designed with configurable keywords, clear code structure, and deployment instructions for Linux or Docker. Relevant Projects: ⏺ ATS Express – Chrome extension that sends notifications when a job is posted ⏺ Equity Share – Backend for crowdfunding platform with secure, scalable application logic. My approach involves setting up a robust architecture, implementing effective anti-scraping measures, optimizing for speed, and ensuring the solution is maintainable. Key aspects I’ll focus on include handling multi-language sites, managing encoding, and efficiently bypassing anti-bot measures. If this aligns with your project goals, I am available to discuss a detailed implementation plan.

@muneeb6767

我可以使用 Python（aiohttp/Playwright）建立秒級商品監控系統，透過非公開 API、非同步輪詢與代理機制監控 Mercari、Bunjang、Yahoo 等平台，並在偵測新商品後即時推送應用內通知，支援 Docker/Linux 部署與可調整關鍵詞設定。

@vishal1145

Your sub-second latency requirement will fail if you rely on polling alone - these platforms deploy aggressive rate limiting that blocks scrapers after 3-5 requests per minute. I've built similar real-time monitoring systems for sneaker drops and limited-edition releases where milliseconds determine success. Before architecting the solution, I need clarity on two constraints: Are you willing to run this on multiple proxy IPs to distribute requests across regions? And do you have existing accounts on these platforms, because authenticated sessions bypass 60% of anti-bot checks that slow down anonymous scrapers. Here's the architectural approach: - PYTHON + ASYNCIO: Build a multi-threaded event loop using aiohttp to query all 6 platforms concurrently, reducing total scan time from 6 seconds to under 800ms per cycle. - SELENIUM + PLAYWRIGHT: Reverse-engineer mobile app APIs (Mercari and Bunjang expose GraphQL endpoints) to pull JSON feeds directly instead of parsing HTML, cutting response time by 70%. - WEBSOCKET PUSH: Implement a local WebSocket server that maintains persistent connections to your notification client, eliminating HTTP polling overhead and achieving sub-100ms alert delivery. - ANTI-DETECTION LAYER: Rotate residential proxies with randomized user-agents and implement exponential backoff to avoid IP bans while maintaining scan frequency under 2 seconds. - DOCKER DEPLOYMENT: Package the entire stack with Redis for deduplication and systemd for auto-restart, ensuring 99.9% uptime on Linux VPS. I've delivered 4 similar scraping systems that monitor inventory changes across Rakuten, Yahoo Auctions, and Shopee with average detection latency of 1.2 seconds. I don't take projects where the client expects magic without infrastructure investment - let's discuss proxy budgets and server specs before committing to a build timeline.

@johibkhan

Hi, With my extensive 15+ years of software application development experience and a strong command over Python, I offer the skills you need to create efficient, high-performance, and real-time monitoring software. I have worked with globally recognized companies like Avaya, Pramati, and CGI. In addition to my impressive background in software development, I specialize in system design, resolving complex problems with efficient coding, optimizing performance, and creating scalable architectures which align perfectly with your project requirements. My proficiency extends to event-driven systems as well which is essential for your "sub-second" notification feature. Having led teams delivering complex fintech and trading platforms implies that I am adept at handling real-time workloads comfortably and being an AI/ML expert makes me fully equipped to handle CAPTCHA issues constructively. I have built low latency systems employing techniques like WebSocket- which will be handy for implementing push notifications. My code is always structured and neat accompanied by comprehensive documentation.

@codefusion53

Hi, I can build a Python-based monitoring tool that tracks new listings by keyword across the requested marketplaces and sends fast in-app notifications when matching items appear. I have strong experience with Python, asyncio, aiohttp, Playwright, Selenium, Linux, Docker, WebSocket notifications, multilingual scraping, proxy handling, structured configs, and notification history systems. I can design the program with external keyword configuration, modular platform connectors, async monitoring workers, logging, and a lightweight in-app push module for near real-time alerts. For reliability, I will focus on compliant and maintainable data access methods, public endpoints where available, optimized polling, session handling, error recovery, and clear monitoring diagnostics. The system will include dependency files, Docker or Linux setup instructions, user documentation, and support during the one-week testing period. I can also provide performance testing notes so you can verify detection speed and stability across each platform. Best, Justin

@slavkom1

Hi, I see you need a Python monitor that can catch new items from Mercari, Bunjang, PayPay Flea Market, Fril, Yahoo Auctions, and Carousell in under a second. I’ve built similar real‑time scrapers before with fast polling and lightweight async code. I can put together a simple structure with clean modules and a config file for keywords and push targets. Steps: • Async polling per platform with fallback browser automation • Detection layer comparing timestamps or listing IDs • In‑app push module with WebSocket or local queue • Logs plus a small history viewer I can start right away and aim for a few days to get a working version, then refine during your test week. Which platform do you expect to cause the most latency based on your past observations? Greetings, Slavko

@durgesh8527

As a seasoned Python developer, I specialize in creating high-performance monitoring systems with real-time notifications - exactly like what you're looking for. Over 10 years in the field has honed my skills in exploiting various techniques such as using non-public APIs, websockets, optimizing polling, and circumventing anti-scraping measures to ensure sub-one second delays from detection to notification. Moreover, my familiarity with popular modules like aiohttp, requests, and Selenium combined with my adeptness at encoding multilingual websites, managing proxies, and overcoming Captcha challenges makes me a solid fit for your multiplatform project. Furthermore, being well-versed in WebSocket and Firebase Cloud Messaging enables me to design efficient notification systems.

@MQamar123

As a developer, I bring deep and relevant expertise to rapidly meeting your project's needs. I have extensive knowledge in Python alongside aiohttp, requests, Selenium, and other similar libraries mentioned in your project description. Additionally, my experience with real-time messaging protocols like WebSocket and Firebase Cloud Messaging will prove beneficial when developing the instant notification feature of your application. My significant strength lies in solving complex scraping tasks and evading web scrapping prevention measures. Over the years, I’ve acquired hands-on skills in managing multiple multilingual websites, proxy, encoding errors, and CAPTCHA issues - precisely what you need for your project. Overall, my diverse skill set backed by real-life experience in overcoming optimization challenges makes me a perfect fit for this project. Let's discuss further how I can bring value to your Python 实时商品监控开发 endeavour.

@purealmaz

Regarding your project, I have a quick question: Are the 'in-app notifications' meant for an existing application you've built, or should the deliverable include a simple client app (e.g., desktop) to display the alerts? My initial thought is to approach this using a Python stack with `aiohttp` and WebSockets to handle the core requirement of sub-second real-time monitoring. For sites without direct API access, an aggressive, proxy-rotated polling strategy with `Playwright` will be used for resilience against anti-scraping measures. I previously tackled a similar challenge in this project: https://dev.telepie.ai. There, I engineered a high-scale communication microservice, focusing on low-latency data processing and robust API integration, which is directly applicable to your goal of instant product alerts. Let's connect to discuss the architecture. Regards, Philip O.

@nemanjam61

Hello, I have experience with Python 3, aiohttp, and Selenium, having implemented reactive monitoring systems for e-commerce platforms that detect product changes in real-time. I can build a highly efficient monitoring program that utilizes non-public APIs and advanced techniques like WebSocket for instant notifications. For instance, leveraging an asynchronous polling mechanism can effectively reduce response time to under one second. Let's discuss!

@mugencodes

Hello, I understand the need for a high-speed Python monitoring program that can detect new products on various platforms within 1 second and push notifications within the app. My approach involves utilizing preset keywords for searching new listings, implementing a push module within the program for real-time notifications, and optimizing performance to achieve a delay of ≤1 second from product appearance to notification receipt. I will ensure structured code with comments, adjustable keyword settings, and delivery of complete source code, dependencies, installation guides, and a user manual. With expertise in Python 3, aiohttp, requests, Selenium, and experience in real-time messaging, circumventing security measures, and handling multilingual sites, I am confident in delivering a solution that meets your requirements. If you have any prior experience with similar real-time monitoring projects, please share demonstrations or performance data for consideration. I look forward to discussing further details and potential collaboration. Best regards, Jayabrata Bhaduri

@Abuzar00

我曾開發過多平台即時爬取系統，輪詢延遲可壓至300–800ms，這個專案對我來說是熟悉的領域。 技術方案直接說明： 六個平台我分三類處理： ① 內部API直打（最快）： Mercari JP、PayPay、Fril、Yahoo拍賣——這些平台的手機App走的是未公開JSON端點，我會透過抓包逆向還原，直接呼叫，跳過HTML渲染，單次請求延遲可達100–300ms。 ② 輕量爬取： Bunjang走GraphQL API，結構清晰，關鍵詞查詢直接對應。 ③ Carousell多區： 有官方搜尋API但有速率限制，搭配rotating proxy池處理。 架構設計： • Python asyncio + aiohttp 並發輪詢，各平台獨立協程 • 新品偵測用item ID hash比對，避免重複推送 • 通知模組：桌面端用plyer/win10toast，或WebSocket推送到瀏覽器擴充 • 設定檔YAML外部化：關鍵詞、平台開關、代理設定一目瞭然 誠實說明限制： 1秒內端到端延遲在輪詢架構下可實現，但平台若有Cloudflare或動態反爬，首次請求可能需要額外處理。我會在測試期內針對每個平台實測並提供實際延遲數據。 交付包含完整原始碼、Docker部署包、使用手冊與一週錯誤修復。 請問優先監控哪個平台？可先交付該平台的可運行demo供驗證。 — Abuzar

@chiragpipal

⚠️ If you're not happy, you don’t pay. ⚠️ Hi there, Thank you for sharing the detailed project brief. I can build your high-speed monitoring program in Python, efficiently detecting new products on specified platforms within seconds. I will deliver: • Real-time monitoring based on predefined keywords • Instant in-app notifications for new listings • Sub-second latency from item appearance to notification • Structured code with adjustable settings for keywords and notification receivers • Complete source code, dependencies, deployment guides (for Linux or Docker), user manual, and one-week error correction support. You will also receive: • Tailored guide for keyword management and notification history tracking. I am confident I can execute your vision professionally and efficiently. Looking forward to discussing timeline and next steps. Best regards, Chirag.

@Noorulamin331

您好，我可以為您建立一套高效監控程式，使用 Python 實現 1 秒內偵測多個平台的新商品並推播應用內通知。 技術架構： 使用 asyncio + aiohttp 實現高併發輪詢，針對每個平台調用其非公開 API（透過分析網頁請求取得介面）。對於反爬嚴格的站點，使用 Playwright 搭配代理池和指紋繞過。檢測到新商品後透過 WebSocket 即時推送通知到客戶端，整體延遲控制在 1 秒內。 各平台策略： Mercari、PayPay フリマ、Yahoo 拍賣、fril 可還原其內部搜尋 API，使用 cookies 和適當 headers 模擬登入。Bunjang 需處理韓文編碼與 Cloudflare。Carousell 各站使用公開搜尋 API 加上輪詢時間戳。 交付內容： 完整 Python 原始碼（含註解）、依賴列表、Docker 部署檔、安裝說明、使用手冊（含關鍵詞修改和查看通知記錄）、一週錯誤修復。 我的經驗： 我為客戶開發過多個秒級監控系統，包含 Mercari、Yahoo 拍賣、Carousell 等平台，延遲穩定在 0.5-1 秒。我能處理反爬、指紋登入、驗證碼等問題。 請提供關鍵詞範例和希望的通知方式（WebSocket 或 FCM），我將盡快提供示範或測試數據。 Looking forward to working with you. Best regards,

@haseebsidd07

Hey , I just finished reading the job description and I see you are looking for someone experienced in Java, Linux, API Development, Software Architecture, Web Scraping, Data Extraction, Python and Selenium. This is something I can do. Please review my profile to confirm that I have great experience working with these tech stacks. While I have few questions: 1. These are all the requirements? If not, Please share more detailed requirements. 2. Do you currently have anything done for the job or it has to be done from scratch? 3. What is the timeline to get this done? Why Choose Me? 1. I have done more than 250 major projects. 2. I have not received a single bad feedback since the last 5-6 years. 3. You will find 5 star feedback on the last 100+ major projects which shows my clients are happy with my work. Timings: 9am- 9pm Eastern Time (I work as a full time freelancer) I will share with you my recent work in the private chat due to privacy concerns! Please start the chat to discuss it further. Regards, Abdul Haseeb Siddiqui