Python 中的 Requests 库：教程

安装

在使用Requests库之前，请确保已安装。 你可以通过pip安装它：

pip install requests

pip install requests

进行GET请求

使用requests.get()方法对指定的URL发起GET请求：

import requests

# Make a GET request to the URL
response = requests.get('https://api.example.com/data')

# Print the response text (content of the response)
print(response.text)

import requests

# Make a GET request to the URL
response = requests.get('https://api.example.com/data')

# Print the response text (content of the response)
print(response.text)

此代码向指定的URL https://api.example.com/data 发送GET请求并打印响应正文。

进行POST请求

要通过数据进行POST请求，请使用requests.post()方法：

import requests

# Data to send in the POST request
data = {'key': 'value'}

# Make a POST request with data
response = requests.post('https://api.example.com/post', data=data)

# Print the response in JSON format
print(response.json())

import requests

# Data to send in the POST request
data = {'key': 'value'}

# Make a POST request with data
response = requests.post('https://api.example.com/post', data=data)

# Print the response in JSON format
print(response.json())

在此，我们向https://api.example.com/post发送带有JSON数据的POST请求并打印JSON响应数据。

处理响应对象

通过HTTP请求返回的响应对象提供了各种属性和方法，以访问响应的不同方面，如HTTP头、状态码、内容等。例如：

import requests

# Make a GET request
response = requests.get('https://api.example.com/data')

# Print the status code of the response
print(response.status_code)

# Print the response headers
print(response.headers)

import requests

# Make a GET request
response = requests.get('https://api.example.com/data')

# Print the status code of the response
print(response.status_code)

# Print the response headers
print(response.headers)

错误处理

进行HTTP请求时，优雅地处理错误至关重要。 Requests库通过为常见错误（比如连接错误和超时）引发异常来简化错误处理。 例如：

import requests

try:
    # Make a GET request
    response = requests.get('https://api.example.com/data')

    # Raise an exception for HTTP errors
    response.raise_for_status()
except requests.exceptions.HTTPError as err:
    # Print the error message
    print(err)

import requests

try:
    # Make a GET request
    response = requests.get('https://api.example.com/data')

    # Raise an exception for HTTP errors
    response.raise_for_status()
except requests.exceptions.HTTPError as err:
    # Print the error message
    print(err)

禁用SSL证书验证

在False来禁用SSL证书验证：

import requests

# Make a GET request with SSL verification disabled
response = requests.get('https://api.example.com/data', verify=False)

# Process the response
print(response.text)

import requests

# Make a GET request with SSL verification disabled
response = requests.get('https://api.example.com/data', verify=False)

# Process the response
print(response.text)

包含查询字符串

您还可以通过使用params参数将查询参数附加到URL中：

import requests

# Define query parameters
params = {'key': 'value', 'param2': 'value2'}

# Make a GET request with query parameters
response = requests.get('https://api.example.com/data', params=params)

# Process the response
print(response.text)

import requests

# Define query parameters
params = {'key': 'value', 'param2': 'value2'}

# Make a GET request with query parameters
response = requests.get('https://api.example.com/data', params=params)

# Process the response
print(response.text)

在此示例中，params字典包含查询参数。 在发起GET请求时，这些参数会自动附加到URL，结果请求URL类似于https://api.example.com/data?key=value&param2=value2。

IronPDF - Python PDF库

IronPDF for Python是一种流行的Python库，用于生成、读取、编辑和操作PDF文档。 它提供了一套丰富的功能，以程序化地创建专业外观的PDF。

要使用IronPDF生成通过Requests获取的内容的PDF，请按以下步骤进行：

步骤1：安装IronPDF

首先，确保你在Python环境中已安装IronPDF。 你可以通过pip安装它：

pip install ironpdf

pip install ironpdf

步骤2：使用Requests获取内容

使用Requests库获取你希望包含在PDF中的内容。 例如：

import requests

# Make a GET request to fetch data
response = requests.get('https://api.example.com/data')
data = response.text

import requests

# Make a GET request to fetch data
response = requests.get('https://api.example.com/data')
data = response.text

步骤 3：使用 IronPDF 生成 PDF

获得内容后，使用IronPDF生成PDF。 这是一个基本示例：

from ironpdf import ChromePdfRenderer

# Instantiate Renderer
renderer = ChromePdfRenderer()

# Create a PDF from the data received from requests
pdf = renderer.RenderHtmlAsPdf(data)

# Export to a file
pdf.SaveAs("output.pdf")

from ironpdf import ChromePdfRenderer

# Instantiate Renderer
renderer = ChromePdfRenderer()

# Create a PDF from the data received from requests
pdf = renderer.RenderHtmlAsPdf(data)

# Export to a file
pdf.SaveAs("output.pdf")

在此示例中，data包含通过Requests获取的HTML内容。 IronPDF的RenderHtmlAsPdf()方法将此HTML内容转换为PDF文档。 最后，使用SaveAs()方法将PDF保存到文件中。

通过Requests库，Python使与Web的交互变得轻而易举，使开发人员能够更加专注于构建优秀的应用程序，而不是处理HTTP通信的复杂性。