Proxy Prix

The first thing you need to do to use a proxy in your browser is to make the necessary settings. In Google Chrome browser, go to "Network" and then find and click on "Change proxy settings". In the "Internet properties" window that opens, go to "Connection" and click on the "Network settings" button at the bottom. When a new window opens, check the "Use proxy server for local connections" box and the "Do not use proxy server for local addresses" box. Enter the proxy port and IP address in the corresponding fields, close the window and click "OK".

In CentOS, if there is no graphical interface (from the terminal), proxy configuration is done through the export http_proxy=http://User:Pass@Proxy:Port/ command. Accordingly, User is the user, Pass is the password to identify you, Proxy is the IP address of the proxy, and Port is the port number. If you have DE, the configuration can be done via Network Manager (as in any other Linux distribution).

In Selenium with Python, you can add cookies to your browser session using the add_cookie method of the WebDriver's options or add_cookie method of the WebDriver instance. If you have cookies saved in a file, you can read the file and then add the cookies to your Selenium session. Here's an example:

from selenium import webdriver
import pickle

# Create a new instance of the browser (e.g., Chrome)
driver = webdriver.Chrome()

# Read cookies from a file (replace 'cookies.pkl' with your actual file name)
with open('cookies.pkl', 'rb') as cookies_file:
    cookies = pickle.load(cookies_file)

# Add each cookie to the browser session
for cookie in cookies:
    driver.add_cookie(cookie)

# Now the browser should have the added cookies

# Example: Navigate to a website after setting cookies
driver.get('https://example.com')

# Continue with your script...

# Close the browser when done
driver.quit()

In this example:

1. The Selenium WebDriver (Chrome in this case) is created.
2. Cookies are read from a file using the pickle module. Make sure your cookies file is in the correct format (a list of dictionaries).
3. Each cookie is added to the browser session using the add_cookie method.
4. The script navigates to a website (https://example.com) after setting the cookies. Adjust this part according to your specific use case.
5. The browser is closed using driver.quit() when the script is done.

Make sure to replace 'cookies.pkl' with the actual path to your cookies file.

Note: The format of the cookies file is crucial. It should be a list of dictionaries, and each dictionary should contain at least the keys 'name', 'value', 'domain', and 'path'. If the cookies were obtained using get_cookies() in a previous Selenium session, you can directly save the result using pickle.dump(cookies, file).

Here's a simple example of how to save cookies:

from selenium import webdriver
import pickle

driver = webdriver.Chrome()
driver.get('https://example.com')

# Get cookies
cookies = driver.get_cookies()

# Save cookies to a file
with open('cookies.pkl', 'wb') as cookies_file:
    pickle.dump(cookies, cookies_file)

driver.quit()

Then, you can use the first script to load and set these cookies in a new Selenium session.

In Scrapy, you can navigate to the next page of a website by following the links or buttons that lead to subsequent pages. This typically involves extracting the link or button URL from the current page and generating a new request to scrape the content of the next page.

Here's a basic example of how you can navigate to the next page in a Scrapy spider:

import scrapy

class MySpider(scrapy.Spider):
    name = 'my_spider'
    start_urls = ['http://example.com/page1']

    def parse(self, response):
        # Extract data from the current page

        # ...

        # Follow the link to the next page (assuming pagination link is in an anchor tag)
        next_page_url = response.css('a.next-page-link::attr(href)').extract_first()
        if next_page_url:
            yield scrapy.Request(url=next_page_url, callback=self.parse)

- The spider starts with the initial URL (start_urls).
- The parse method extracts data from the current page.
- It then extracts the URL of the next page using a CSS selector (response.css('a.next-page-link::attr(href)').extract_first()). Adjust this selector based on the structure of the website you are scraping.
- If a next page URL is found, a new scrapy.Request is yielded with the URL and the same callback function (self.parse). This creates a new request to scrape the content of the next page.

A VPN on your phone lets you protect your privacy when you connect to public WiFi hotspots. You can also use it to hide your real location, connect to blocked sites and applications. There are many ways to use VPN.