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Stock Browser Fetcher

v1.0.0

通过浏览器控制实时抓取A股市场数据,支持东方财富、新浪财经等金融网站,绕过反爬机制。输出:上证/深证/创业板指数、北向资金、涨跌家数、涨停跌停数据。

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for linbo405/stock-browser-fetcher.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Stock Browser Fetcher" (linbo405/stock-browser-fetcher) from ClawHub.
Skill page: https://clawhub.ai/linbo405/stock-browser-fetcher
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install stock-browser-fetcher

ClawHub CLI

Package manager switcher

npx clawhub@latest install stock-browser-fetcher
Security Scan
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Purpose & Capability
The SKILL.md advertises a Python function (from skills.stock_browser_fetcher import fetch_market_data) and depends on an OpenClaw 'browser' tool, yet the registry entry contains no code files and no install spec. A user could not actually import or run the referenced module as provided. Asking to 'bypass anti-scraping mechanisms' is outside what should be achievable by a simple instruction file and suggests additional undisclosed capabilities are expected.
!
Instruction Scope
Runtime instructions are minimal and assume a local Python module exists; they do not show the concrete browser automation steps. The text explicitly states the skill will '绕过反爬机制' (bypass anti-scraping), which is scope creep: it indicates the agent should evade protections on third‑party sites. That is an operational and legal/ethical red flag even if technically related to the stated purpose of fetching market data.
Install Mechanism
No install spec is provided (instruction-only), which is lower risk in terms of arbitrary downloads. However, being instruction-only also means the advertised functionality is not delivered by code in the skill bundle — this inconsistency prevents the skill from working as described without external components.
Credentials
The skill requests no environment variables, credentials, or config paths, which is proportionate to a read-only market data fetcher. That said, any eventual implementation that automates browsers against third‑party sites may require network access and could prompt for cookies/credentials not declared here.
Persistence & Privilege
The skill does not request 'always: true' or other elevated persistent privileges; autonomous invocation is allowed (platform default). No modifications to other skills or system settings are indicated.
What to consider before installing
This package as-published is incomplete and raises concerns: it references a Python module that does not exist in the bundle and promises to 'bypass anti-scraping' protections. Before installing or allowing an agent to use it, ask the publisher for the actual code or an install script and for details on how the browser automation works. Consider legal and terms-of-service risks of evading anti-bot measures on sites like eastmoney.com or finance.sina.com.cn. If you plan to proceed, require a code review (or run in an isolated sandbox), ensure no hidden credential prompts, and prefer implementations that use official APIs or site‑permitted scraping methods instead of evasion techniques.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

📈 Clawdis
OSLinux · macOS · Windows
latestvk979ramn4e3zxdt89sq97p82sx83gtvz
119downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0
Linux, macOS, Windows

Stock Browser Fetcher 📈

通过浏览器控制实时抓取 A 股市场数据,绕过反爬机制。

功能

  • 📊 实时获取上证、深证、创业板指数
  • 💰 北向资金数据
  • 📈 涨跌家数统计
  • 🔥 涨停跌停数量

使用方法

from skills.stock_browser_fetcher import fetch_market_data

# Fetch today's market data
data = fetch_market_data()
print(data)

输出格式

{
  "date": "2026-03-05",
  "sh_index": {"close": 3000.12, "change_pct": 0.5},
  "sz_index": {"close": 9500.45, "change_pct": 0.8},
  "chi_index": {"close": 2000.33, "change_pct": 1.2},
  "north_flow": 10.5,
  "up_count": 2500,
  "down_count": 2300,
  "limit_up": 50,
  "limit_down": 10
}

数据源

  • 东方财富 (eastmoney.com)
  • 新浪财经 (finance.sina.com.cn)

依赖

  • OpenClaw browser tool
  • Python 3.8+

使用场景

  • 量化交易数据采集
  • 金融数据分析
  • 投资组合监控
  • 市场情绪跟踪

Comments

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