Docs: 1. improve document

README-CN.md

@@ -12,8 +12,8 @@ PulsarRPA 是一款高性能、分布式、开源的机器人流程自动化（R
 
 ### 大规模网页数据提取面临的挑战
 
-1. **网页内容智能提取**：互联网拥有数十亿个网站，每个网站都包含海量数据。为了从如此众多的网站中提取信息，智能化的网页内容采集技术至关重要。传统的网页抓取方法无法有效处理大量网页，导致数据提取效率低下。
-2. **频繁的网站变更**：在线平台不断更新其布局、结构和内容，使得长期保持可靠的提取流程颇具挑战。传统的抓取工具难以迅速适应这些变化，导致获取到的数据过时或不再相关。
+1. **频繁的网站变更**：在线平台不断更新其布局、结构和内容，使得长期保持可靠的提取流程颇具挑战。传统的抓取工具难以迅速适应这些变化，导致获取到的数据过时或不再相关。
+2. **网页内容智能提取**：互联网拥有数十亿个网站，每个网站都包含海量数据。为了从如此众多的网站中提取信息，并且应对频繁的网站变更，智能化的网页内容采集技术至关重要。传统的网页抓取方法无法有效处理大量网页，导致数据提取效率低下。
 3. **复杂的网站架构**：现代网站常采用精巧的设计模式、动态内容加载及先进的安全措施，为常规抓取方法设立了严峻的难关。从这类网站中提取数据需深入理解其结构与行为，并具备像人类用户一样与其交互的能力。
 
 ### PulsarRPA：革新网页数据采集方式

README.md

@@ -12,8 +12,8 @@ PulsarRPA represents the pinnacle of open-source solutions for large-scale webpa
 
 ### Challenges in Large-Scale Web Data Extraction
 
-1. **Intelligent Extraction of Web Content**: The internet hosts billions of websites, each containing vast amounts of data. To extract information from this multitude of sites, technology for intelligently harvesting webpage content is crucial. Traditional data scraping methods are inadequate in effectively dealing with large numbers of webpages, resulting in diminished data extraction efficiency.
-2. **Frequent Website Changes**: Online platforms continuously update their layouts, structures, and content, making it difficult to maintain reliable extraction processes over time. Traditional scraping tools may struggle to adapt promptly to these changes, leading to outdated or irrelevant data.
+1. **Frequent Website Changes**: Online platforms continuously update their layouts, structures, and content, making it difficult to maintain reliable extraction processes over time. Traditional scraping tools may struggle to adapt promptly to these changes, leading to outdated or irrelevant data.
+2. **Intelligent Extraction of Web Content**: The internet hosts billions of websites, each containing vast amounts of data. To extract information from such a diverse range of websites and keep up with frequent changes, intelligent web content extraction techniques are crucial. Traditional web scraping methods fail to effectively handle large volumes of webpages, leading to inefficient data extraction.
 3. **Complex Website Architecture**: Modern websites often employ sophisticated design patterns, dynamic content loading, and advanced security measures, presenting formidable obstacles for conventional scraping techniques. Extracting data from such sites requires deep understanding of their structure and behavior, as well as the ability to interact with them as a human user would.
 
 ### PulsarRPA: A Game-Changer in Web Data Collection