IP | Country | PORT | ADDED |
---|---|---|---|
192.252.216.81 | us | 4145 | 35 minutes ago |
208.65.90.21 | us | 4145 | 35 minutes ago |
189.202.188.149 | mx | 80 | 35 minutes ago |
194.219.134.234 | gr | 80 | 35 minutes ago |
46.32.15.59 | ir | 3128 | 35 minutes ago |
80.120.49.242 | at | 80 | 35 minutes ago |
111.177.48.18 | cn | 9501 | 35 minutes ago |
208.65.90.3 | us | 4145 | 35 minutes ago |
128.140.113.110 | de | 4145 | 35 minutes ago |
198.8.94.170 | us | 4145 | 35 minutes ago |
113.108.13.120 | cn | 8083 | 35 minutes ago |
199.58.185.9 | us | 4145 | 35 minutes ago |
192.252.220.89 | us | 4145 | 35 minutes ago |
198.12.249.249 | us | 26829 | 35 minutes ago |
79.110.200.148 | pl | 8081 | 35 minutes ago |
220.167.89.46 | cn | 1080 | 35 minutes ago |
87.248.129.26 | ae | 80 | 35 minutes ago |
211.128.96.206 | 80 | 35 minutes ago | |
50.63.12.101 | us | 27071 | 35 minutes ago |
199.187.210.54 | us | 4145 | 35 minutes ago |
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Each option has its own advantages and disadvantages. HTTP is faster because it supports caching. And SOCKS provides better anonymity because it hides the headers of requested pages.
To save cookies in SQLite3 using Selenium, you'll need to follow these steps:
1. Install the required packages: Make sure you have Selenium and SQLite3 installed. You can install SQLite3 using pip:
pip install sqlite3
2. Connect to the SQLite3 database: Before saving cookies to SQLite3, you need to establish a connection to the database.
import sqlite3
# Connect to the SQLite3 database (or create it if it doesn't exist)
conn = sqlite3.connect("cookies.db")
cursor = conn.cursor()
# Create the cookies table if it doesn't exist
cursor.execute("""
CREATE TABLE IF NOT EXISTS cookies (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL,
value TEXT NOT NULL,
domain TEXT NOT NULL,
path TEXT NOT NULL,
expiry TEXT NOT NULL
)
""")
# Commit the changes and close the connection
conn.commit()
conn.close()
3. Save cookies to SQLite3 using Selenium: In your Selenium code, you can save cookies to the SQLite3 database by iterating through the cookies in the browser and inserting them into the database.
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import sqlite3
# Set the path to the ChromeDriver executable
chrome_driver_path = "path/to/chromedriver"
# Set the preference to save downloaded files with a specific name pattern
options = Options()
options.add_argument("download.default_directory='path/to/download/folder'")
options.add_argument(f"download.download_path='path/to/download/folder'")
options.add_preference("download.filename_template", "%f - %r")
# Initialize the Chrome WebDriver with the specified options
driver = webdriver.Chrome(executable_path=chrome_driver_path, options=options)
# Your Selenium code goes here
# Connect to the SQLite3 database
conn = sqlite3.connect("cookies.db")
cursor = conn.cursor()
# Get all cookies from the browser
cookies = driver.get_cookies()
# Insert cookies into the SQLite3 database
for cookie in cookies:
cursor.execute("""
INSERT INTO cookies (name, value, domain, path, expiry)
VALUES (?, ?, ?, ?, ?)
""", (cookie['name'], cookie['value'], cookie['domain'], cookie['path'], cookie['expiry']))
# Commit the changes and close the connection
conn.commit()
conn.close()
# Your code to save the cookies to SQLite3
# Close the browser
driver.quit()
Replace path/to/chromedriver, path/to/download/folder, and %f - %r with the appropriate values for your setup.
This example saves the cookies from the browser to the SQLite3 database. You can modify the code to load cookies from the database and set them in the browser as needed.
To enter the browser in normal mode via Selenium WebDriver, you need to set the desired capabilities for the browser you want to use. Here's an example of how to do this in Python:
from selenium import webdriver
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
# Set the desired capabilities for the browser
desired_caps = DesiredCapabilities.CHROME
desired_caps['browserName'] = 'chrome'
desired_caps['version'] = 'latest'
# Initialize the WebDriver with the desired capabilities
driver = webdriver.Chrome(desired_capabilities=desired_caps)
# Open a web page in normal mode
driver.get('https://www.example.com')
# Do some actions on the web page
# ...
# Close the browser
driver.quit()
In this example, we are using the Chrome browser, but you can replace 'chrome' with any other browser that Selenium supports, such as 'firefox', 'edge', or 'safari'. The 'version' parameter is set to 'latest', which means that the latest version of the browser will be used.
Note that the DesiredCapabilities class is deprecated in the latest versions of Selenium. Instead, you can use the ChromeOptions class for Chrome or the FirefoxOptions class for Firefox to set the desired capabilities. Here's an example using ChromeOptions:
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
# Set the desired capabilities for the browser
chrome_options = Options()
chrome_options.add_argument('--start-maximized') # Optional: start the browser in full screen
# Initialize the WebDriver with the desired capabilities
driver = webdriver.Chrome(options=chrome_options)
# Open a web page in normal mode
driver.get('https://www.example.com')
# Do some actions on the web page
# ...
# Close the browser
driver.quit()
This will also open the Chrome browser in normal mode.
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 firewall is responsible for filtering packets of traffic. For example, it blocks access to the Internet for certain applications. There are many more options for using a proxy. But if you install special software, it can also be used for such purposes.
What else…