关于我

关于我

Pikachu hacker 海外数据 购物数据

我是 Pikachu Hacker，专注于海外数据分析与购物数据挖掘，致力于通过技术手段获取、分析并优化全球电商和市场数据，助力商业决策与趋势预测。

🔍 核心研究方向

✅ 海外数据采集：

  • 采用先进的 爬虫技术（异步请求、动态解析）和代理策略（IP轮换、匿名代理）确保数据获取的高效性和稳定性。
  • 规避 反爬机制（UA 伪装、Cookies 模拟、JS 渲染等），突破数据壁垒，精准获取全球市场信息。

✅ 购物数据分析：

  • 解析全球电商平台（Amazon、eBay、Shopee、AliExpress 等）和社交媒体趋势（TikTok、Instagram、Facebook）。
  • 研究用户行为，洞察市场需求，挖掘热销商品与潜在商机。
  • 结合价格跟踪、库存监测，为跨境电商和商家提供智能化数据支持。

✅ 网络安全与隐私保护：

  • 采用多重加密、代理网络、Tor 路由等技术，增强匿名性和数据安全性。
  • 研究网站安全策略，优化防封机制，提高数据采集的隐蔽性与可持续性。
  • 确保数据采集合规，遵守各国数据隐私政策。

✅ 自动化与优化：

  • 主要使用 Python（asyncio、aiohttp、Scrapy）、JavaScript（Puppeteer、Selenium）、C++ 进行高效数据抓取与处理。
  • 结合AI 与机器学习，优化数据分析模型，提高数据价值。
  • 设计并优化批量数据处理管道，提升数据存储、清洗与分析效率。

💡 目标：通过数据挖掘与智能分析，助力跨境电商、市场研究、竞品分析、品牌营销，实现数据驱动的精准决策。

如果你对海外数据采集、购物数据分析或网络安全技术感兴趣，欢迎交流合作！

About Me

I am Pikachu Hacker, specializing in overseas data analysis and shopping data mining. My work focuses on leveraging advanced technologies to collect, analyze, and optimize global e-commerce and market data, enabling smarter business decisions and trend forecasting.

🔍 Core Research Areas

✅ Overseas Data Collection:

  • Utilize advanced web scraping techniques (asynchronous requests, dynamic rendering) and proxy strategies (IP rotation, anonymous proxies) to ensure efficient and stable data retrieval.
  • Bypass anti-bot mechanisms (UA spoofing, cookie simulation, JS rendering) to access critical market information globally.

✅ Shopping Data Analysis:

  • Analyze data from major e-commerce platforms (Amazon, eBay, Shopee, AliExpress) and social media trends (TikTok, Instagram, Facebook).
  • Study user behavior to identify market demand, discover trending products, and uncover hidden business opportunities.
  • Implement price tracking and inventory monitoring to provide intelligent data-driven insights for businesses.

✅ Cybersecurity & Privacy Protection:

  • Enhance anonymity and data security using multi-layer encryption, proxy networks, and Tor routing.
  • Research security mechanisms to optimize anti-blocking strategies for long-term sustainable data extraction.
  • Ensure compliance with international data privacy regulations.

✅ Automation & Optimization:

  • Develop high-performance data scraping and processing tools using Python (asyncio, aiohttp, Scrapy), JavaScript (Puppeteer, Selenium), and C++.
  • Incorporate AI and machine learning to improve data analytics models and enhance decision-making.
  • Optimize large-scale data pipelines for efficient data storage, cleaning, and analysis.

💡 Mission: To empower cross-border e-commerce, market research, competitor analysis, and brand marketing through data-driven insights and intelligent automation.

If you’re interested in overseas data collection, shopping data analysis, or cybersecurity, feel free to connect!