🔍 Find API | 寻找可靠数据源

The comprehensive guide to reliable data APIs. Stop scraping, start using APIs.

跨领域可靠数据 API 的综合指南。停止爬取，开始使用 API。

⚠️ Core Principle | 核心原则

API First, Scraping Last.

📋 Table of Contents | 目录

1. Stock & Financial Data | 股票与金融数据
2. Weather Data | 天气数据
3. News & Media | 新闻与媒体
4. Maps & Geolocation | 地图与地理定位
5. E-commerce & Products | 电商与商品
6. More domains coming soon... | 更多领域持续完善中...

1. Stock & Financial Data | 股票与金融数据

1.1 A股市场 / Chinese A-Share Market

Recommended: AKShare (Best for most use cases)

Installation:

pip install akshare

Quick Examples:

import akshare as ak

# 获取A股实时行情
df = ak.stock_zh_a_spot_em()

# 获取个股历史数据
df = ak.stock_zh_a_hist(symbol="000001", period="daily", adjust="qfq")

# 获取财务指标
df = ak.stock_financial_analysis_indicator(symbol="000001")

# 获取资金流向
df = ak.stock_individual_fund_flow(stock="000001")

Documentation: https://akshare.akfamily.xyz

1.2 港股市场 / Hong Kong Stock Market

Recommended: AKShare

Quick Examples:

import akshare as ak

# 港股实时行情
df = ak.stock_hk_spot_em()

# 个股历史数据（如腾讯 00700）
df = ak.stock_hk_hist(symbol="00700", period="daily", adjust="qfq")

# 港股通资金
df = ak.stock_hk_ggt_components_em()

1.3 美股市场 / US Stock Market

Recommended: yfinance (Best free option for US stocks)

Installation:

pip install yfinance

Quick Examples:

import yfinance as yf

# 获取股票信息
stock = yf.Ticker("AAPL")

# 历史数据
hist = stock.history(period="1mo")

# 财务报表
financials = stock.financials
balance_sheet = stock.balance_sheet
cashflow = stock.cashflow

# 股息信息
dividends = stock.dividends

# 推荐分析师评级
recommendations = stock.recommendations

Documentation: https://github.com/ranaroussi/yfinance

1.4 期货与衍生品 / Futures & Derivatives

Quick Examples:

import akshare as ak

# 国内期货主力合约
df = ak.futures_zh_main_sina()

# 国际期货
df = ak.futures_foreign_hist(symbol="CL")  # 原油

1.5 基金数据 / Fund Data

Quick Examples:

import akshare as ak

# 开放式基金列表
df = ak.fund_open_fund_info_em(fund="000001")

# ETF实时行情
df = ak.fund_etf_spot_em()

# 基金持仓
df = ak.fund_portfolio_em(fund="000001")

2. Weather Data | 天气数据

Recommended: OpenWeatherMap (Global coverage)

Quick Examples:

import requests

api_key = "YOUR_API_KEY"
city = "Beijing"

# 当前天气
url = f"https://api.openweathermap.org/data/2.5/weather?q={city}&appid={api_key}&units=metric"
response = requests.get(url)
data = response.json()

print(f"Temperature: {data['main']['temp']}°C")
print(f"Weather: {data['weather'][0]['description']}")

Get API Key: https://openweathermap.org/api

3. News & Media | 新闻与媒体

Recommended: NewsAPI

Quick Examples:

import requests

api_key = "YOUR_API_KEY"

# 获取头条新闻
url = f"https://newsapi.org/v2/top-headlines?country=us&apiKey={api_key}"
response = requests.get(url)
articles = response.json()['articles']

for article in articles[:5]:
    print(article['title'])

Get API Key: https://newsapi.org

4. Maps & Geolocation | 地图与地理定位

Recommended: Nominatim (Free, no auth) | 高德地图 (中国地区)

Nominatim Quick Examples:

import requests

# 地理编码（地址转坐标）
address = "Beijing, China"
url = f"https://nominatim.openstreetmap.org/search?q={address}&format=json"
response = requests.get(url, headers={'User-Agent': 'AgentApp'})
data = response.json()

print(f"Lat: {data[0]['lat']}, Lon: {data[0]['lon']}")

高德地图 Quick Examples:

import requests

api_key = "YOUR_API_KEY"
address = "北京市朝阳区"

# 地理编码
url = f"https://restapi.amap.com/v3/geocode/geo?address={address}&key={api_key}"
response = requests.get(url)
data = response.json()

print(data['geocodes'][0]['location'])

Get 高德 API Key: https://lbs.amap.com

5. E-commerce & Products | 电商与商品

Note: 电商API通常需要商家认证，普通用户可考虑爬取商品页面或使用第三方服务。

6. More domains coming soon... | 更多领域持续完善中

Planned additions:

• Social Media APIs (Twitter, Weibo, Reddit)
• Translation APIs
• Image & Video APIs
• Scientific & Research Data APIs
• Government & Public Data APIs
• Real Estate Data APIs
• Job & Recruitment APIs

Contribute: If you know reliable APIs in other domains, help expand this skill!

🔄 Decision Flow | 决策流程

用户需要获取外部数据
    ↓
Step 1: 确定数据类型
├── 股票/金融 → 查看本 Skill 第1节
├── 天气 → 查看本 Skill 第2节
├── 新闻 → 查看本 Skill 第3节
├── 地图/位置 → 查看本 Skill 第4节
├── 电商/商品 → 查看本 Skill 第5节
└── 其他 → 搜索 RapidAPI / Public APIs
    ↓
Step 2: 选择合适的 API
├── 考虑因素：成本、认证难度、数据覆盖、稳定性
└── 优先选择免费/免认证的 API
    ↓
Step 3: 检查环境
├── Python库是否安装？→ pip install xxx
└── API Key是否获取？→ 引导用户注册
    ↓
Step 4: 调用 API 获取数据
    ↓
Step 5: 返回结构化结果

📊 Before vs After Comparison | 效果对比

🔧 General Setup | 通用安装

Most APIs in this skill require Python. Basic setup:

# 常用数据获取库
pip install akshare yfinance requests pandas

# 可选：更多数据源
pip install tushare

🔍 External Resources | 外部资源

If the data type is not covered in this skill, search these directories:

📝 Version | 版本

• Version: 1.0.0
• Created: 2026-03-13
• Last Updated: 2026-03-13
• Maintainer: Community
• Contribution: Welcome to add more reliable data sources

Remember: API First, Scraping Last.