1. 基本 GET 请求

从 API 端点使用 GET 请求获取数据：

import requests
response = requests.get('https://api.example.com/data')
data = response.json()  # Assuming the response is JSON
print(data)

2. 带查询参数的 GET 请求

发送带有查询参数的 GET 请求：

import requests
params = {'key1': 'value1', 'key2': 'value2'}
response = requests.get('https://api.example.com/search', params=params)
data = response.json()
print(data)

3 处理 HTTP 错误

处理可能的 HTTP 错误：

import requests
response = requests.get('https://api.example.com/data')
try:
    response.raise_for_status()  # Raises an HTTPError if the status is 4xx, 5xx
    data = response.json()
    print(data)
except requests.exceptions.HTTPError as err:
    print(f'HTTP Error: {err}')

4. 设置请求超时

为避免 API 请求无限期挂起，设置超时时间：

import requests
try:
    response = requests.get('https://api.example.com/data', timeout=5)  # Timeout in seconds
    data = response.json()
    print(data)
except requests.exceptions.Timeout:
    print('The request timed out')

5. 在请求中使用头部

要在请求中包含标题（例如，用于授权）：

import requests
headers = {'Authorization': 'Bearer YOUR_ACCESS_TOKEN'}
response = requests.get('https://api.example.com/protected', headers=headers)
data = response.json()
print(data)

6. 使用 JSON 有效负载的 POST 请求

发送数据到 API 端点，使用带有 JSON 有效负载的 POST 请求：

import requests
payload = {'key1': 'value1', 'key2': 'value2'}
headers = {'Content-Type': 'application/json'}
response = requests.post('https://api.example.com/submit', json=payload, headers=headers)
print(response.json())

7. 处理响应编码

正确处理响应编码：

import requests
response = requests.get('https://api.example.com/data')
response.encoding = 'utf-8'  # Set encoding to match the expected response format
data = response.text
print(data)

8. 使用 Requests 会话

使用会话对象向同一主机发送多个请求，从而提高性能：

import requests
with requests.Session() as session:
    session.headers.update({'Authorization': 'Bearer YOUR_ACCESS_TOKEN'})
    response = session.get('https://api.example.com/data')
    print(response.json())

9. 处理重定向

处理或禁用请求中的重定向：

import requests
response = requests.get('https://api.example.com/data', allow_redirects=False)
print(response.status_code)

10. 流式传输大响应

将大响应流式传输以分块处理，而不是一次性加载到内存中：

import requests
response = requests.get('https://api.example.com/large-data', stream=True)
for chunk in response.iter_content(chunk_size=1024):
    process(chunk)  # Replace 'process' with your actual processing function