# Www Nra Gov Cn > NRA Railway Statistics Access Skill - Skill: `antins-labs/www-nra-gov-cn` (Agent Skill, multi-file: 4 files) - Install (CLI): `npx skillmds@latest add antins-labs/www-nra-gov-cn` - Raw SKILL.md: https://api.skillmd.com/api/skills/antins-labs/www-nra-gov-cn/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Coding & Dev Tools - Author: antins-labs (https://skillmd.com/u/antins-labs) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/antins-labs/www-nra-gov-cn --- # NRA Railway Statistics Access Skill Access skill for the China National Railway Administration (国家铁路局) railway statistics portal. ## Website **URL:** http://www.nra.gov.cn/xwzx/zlzx/hytj/ This portal publishes monthly railway statistics including: - Passenger volume and turnover - Freight volume and turnover - Fixed asset investment - Other railway performance indicators ## Key Challenges ### 1. Dual Content Formats The website uses two different formats for publishing data: **HTML Tables (older articles, typically 2024 and earlier):** - Data is embedded in HTML `` elements - Tables have standardized structure with columns: - 指标 (Indicator) - 计算单位 (Unit) - 本月 (Current Month) - 比上年同期增长% (YoY Growth %) - 当年累计 (Year-to-date) - 比上年同期增长% (YoY Growth %) **JPEG Images (newer articles, typically 2025 onwards):** - Data is presented as an embedded image (`` tag) - No accessible text data in the HTML - Images require download and separate OCR processing ### 2. Chinese Government Website Patterns - URLs use specific patterns: - List pages: `/xwzx/zlzx/hytj/` or `/xwzx/zlzx/hytj/index_{n}.shtml` - Article pages: `/xwzx/zlzx/hytj/YYYYMM/tYYYYMMDD_ID.shtml` - Encoding may be GB2312, GBK, or UTF-8 - Content is in `#zoom` div element - Metadata in structured info blocks ### 3. Pagination - Uses 0-indexed pagination: `index_1.shtml` = page 2 - Page 1 is the base URL or `index.shtml` - Total page count embedded in JavaScript ## Functions ### list_articles List articles from the railway statistics portal. ```python result = await execute({ 'function': 'list_articles', 'page': 1 # optional, default 1 }) ``` **Returns:** ```json { "articles": [ { "title": "2026年4月份全国铁路主要指标完成情况", "url": "http://www.nra.gov.cn/xwzx/zlzx/hytj/202605/t20260512_351217.shtml", "article_id": "351217", "date": "2026-05-12" } ], "total_pages": 21, "current_page": 1, "count": 8 } ``` ### get_article Get article details and extract statistical table data. ```python result = await execute({ 'function': 'get_article', 'url': 'http://www.nra.gov.cn/xwzx/zlzx/hytj/202204/t20220405_338094.shtml' }) ``` **Returns (for HTML table articles):** ```json { "metadata": { "title": "2020年12月份全国铁路主要指标完成情况", "has_image_table": false }, "tables": [ { "headers": ["指标", "计算单位", "本月", "比上年同期增长%", "当年累计", "比上年同期增长%"], "rows": [ { "指标": "1.旅客发送量", "计算单位": "万人", "本月": "20768", "比上年同期增长%": "-21.1", "当年累计": "220349" } ] } ], "has_data": true, "has_image_table": false } ``` **Returns (for image-based articles):** ```json { "metadata": { "title": "2026年4月份全国铁路主要指标完成情况", "has_image_table": true }, "tables": [], "has_data": false, "has_image_table": true, "image_url": "http://www.nra.gov.cn/xwzx/zlzx/hytj/202605/W020260512646560621585.jpg" } ``` ### get_article_image Download the table image for image-based articles. ```python result = await execute({ 'function': 'get_article_image', 'url': 'http://www.nra.gov.cn/xwzx/zlzx/hytj/202605/t20260512_351217.shtml' }) ``` **Returns:** ```json { "url": "http://www.nra.gov.cn/xwzx/zlzx/hytj/202605/t20260512_351217.shtml", "image_url": "http://www.nra.gov.cn/xwzx/zlzx/hytj/202605/W020260512646560621585.jpg", "content_type": "image/jpeg", "size_bytes": 45678, "data": "" } ``` ### get_stats_history Aggregate statistics from multiple articles across pages. ```python result = await execute({ 'function': 'get_stats_history', 'start_page': 1, 'end_page': 3, 'max_articles': 10 }) ``` ## Usage Examples ### Get Latest Month's Statistics ```python # 1. List recent articles articles = await execute({'function': 'list_articles', 'page': 1}) # 2. Get the most recent article latest = articles['articles'][0] article = await execute({'function': 'get_article', 'url': latest['url']}) # 3. Check if it's image-based if article['has_image_table']: # Download image for OCR img = await execute({'function': 'get_article_image', 'url': latest['url']}) # Process img['data'] with OCR else: # Use extracted table data table_data = article['tables'][0] ``` ### Historical Data Collection ```python # Get data from multiple articles history = await execute({ 'function': 'get_stats_history', 'start_page': 1, 'end_page': 5, 'max_articles': 50 }) # Filter for HTML-table articles with extractable data extractable = [a for a in history['articles'] if a['has_data']] image_based = [a for a in history['articles'] if a['has_image_table']] ``` ## Data Structure The extracted table data follows the official NRA format: | 指标 (Indicator) | 计算单位 (Unit) | 本月 (Current Month) | 比上年同期增长% (YoY %) | 当年累计 (YTD) | 比上年同期增长% (YoY %) | |-----------------|----------------|---------------------|------------------------|----------------|------------------------| | 一、铁路运输 | | | | | | | 1.旅客发送量 | 万人 | 20768 | -21.1 | 220349 | -39.8 | | 2.旅客周转量 | 亿人公里 | 700.83 | -24.1 | 8266.19 | -43.8 | | 3.货运总发送量 | 万吨 | 41600 | 4.0 | 455236 | 3.2 | | 4.货运总周转量 | 亿吨公里 | 2832.86 | 2.5 | 30514.46 | 1.0 | | 二、铁路固定资产投资累计完成额 | 亿元 | — | — | 7819 | -2.6 | ## Error Handling All functions return structured error responses instead of raising exceptions: ```json { "error": "HTTP 404: http://...", "articles": [], "page": 1 } ``` Common errors: - Invalid URL format - Non-existent page number - Network timeout - Content encoding issues ## Rate Limiting To avoid overwhelming the server: - Use `get_stats_history` which includes built-in delays - Limit concurrent requests - Consider caching results for repeated access