To use a proxy in Selenium Python, you can follow the steps mentioned below:
- Import the necessary modules: from selenium import webdriver from selenium.webdriver.common.proxy import Proxy, ProxyType
- Set up the proxy: proxy = Proxy() proxy.proxy_type = ProxyType.MANUAL proxy.http_proxy = ":" proxy.ssl_proxy = ":" Note: Replace and with the actual proxy server address and port.
- Configure the desired capabilities: capabilities = webdriver.DesiredCapabilities.CHROME proxy.add_to_capabilities(capabilities)
- Launch the browser with the configured proxy: driver = webdriver.Chrome(desired_capabilities=capabilities) Replace Chrome with the appropriate browser (e.g., Firefox, Edge, etc.) if you are using a different browser.
- Proceed with your desired automated browser actions using the driver object.
By following the above steps, you can easily use a proxy with Selenium in Python for browsing with IP anonymity or accessing region-restricted content.
How to bypass proxy settings for local addresses in Selenium Python?
To bypass proxy settings for local addresses in Selenium Python, you can add a proxy capability to your WebDriver instance and exclude the local addresses from the proxy configuration. Here is an example:
from selenium import webdriver from selenium.webdriver.common.proxy import Proxy, ProxyType
Create a new Proxy object
proxy = Proxy()
Set the proxy type to MANUAL
proxy.proxy_type = ProxyType.MANUAL
Add the proxy server address and port
proxy.http_proxy = "127.0.0.1:8080"
Set the desired capabilities with proxy configuration
capabilities = webdriver.DesiredCapabilities.CHROME.copy() proxy.add_to_capabilities(capabilities)
Exclude the local addresses from the proxy configuration
proxy.add_to_capabilities({'proxy': {'noProxy': ''}})
Create a new WebDriver instance with the desired capabilities
driver = webdriver.Chrome(desired_capabilities=capabilities)
Now you can use the WebDriver instance for automation
...
In this example, we create a Proxy
object and set its type to MANUAL. Then, we add the proxy server address and port to the proxy
object. Next, we create a copy of the CHROME desired capabilities and add the proxy configuration to it using the add_to_capabilities
method on the proxy
object. Finally, we exclude the local addresses from the proxy configuration by adding {'proxy': {'noProxy': '<local>'}}
to the capabilities. This ensures that any local addresses are accessed directly without going through the proxy.
How to use a proxy in Selenium Python?
To use a proxy in Selenium Python, you can follow these steps:
- Import the necessary modules:
from selenium import webdriver from selenium.webdriver.common.proxy import Proxy, ProxyType
- Create a Proxy object and specify the proxy server address and port:
proxy = Proxy() proxy.proxy_type = ProxyType.MANUAL proxy.http_proxy = "<proxy_server_address>:<proxy_port>" proxy.ssl_proxy = "<proxy_server_address>:<proxy_port>"
Replace <proxy_server_address>
and <proxy_port>
with the appropriate values.
- Create a webdriver.DesiredCapabilities object and set the proxy:
capabilities = webdriver.DesiredCapabilities.CHROME proxy.add_to_capabilities(capabilities)
- Instantiate the WebDriver with the capabilities:
driver = webdriver.Chrome(desired_capabilities=capabilities)
Now, Selenium will use the specified proxy for all subsequent browser interactions.
How to use proxies for multi-threaded web scraping in Selenium Python?
To use proxies for multi-threaded web scraping in Selenium Python, follow these steps:
- Import the required dependencies:
import threading from selenium import webdriver from selenium.webdriver.chrome.options import Options
- Create a function to initialize the Selenium WebDriver instance with proxy settings:
def init_driver(proxy): chrome_options = Options() chrome_options.add_argument('--proxy-server=%s' % proxy) driver = webdriver.Chrome(options=chrome_options) return driver
- Create a function to perform the scraping operations on a given thread:
def scrape_with_proxy(proxy): driver = init_driver(proxy)
# Perform scraping operations using the driver instance
driver.quit()
- Initialize a list of proxies to be used:
proxies = ['proxy1:port', 'proxy2:port', 'proxy3:port']
- Create a list to hold the thread instances:
threads = []
- Create and start the threads, passing the proxy from the list to each thread:
for proxy in proxies: thread = threading.Thread(target=scrape_with_proxy, args=(proxy,)) thread.start() threads.append(thread)
- Wait for all the threads to complete using the join() method:
for thread in threads: thread.join()
By using this approach, you can perform multi-threaded web scraping with different proxies using Selenium in Python. Each thread will have its own instance of the WebDriver with the specified proxy settings.