IP | Country | PORT | ADDED |
---|---|---|---|
50.175.212.74 | us | 80 | 20 minutes ago |
189.202.188.149 | mx | 80 | 20 minutes ago |
50.171.187.50 | us | 80 | 20 minutes ago |
50.171.187.53 | us | 80 | 20 minutes ago |
50.223.246.226 | us | 80 | 20 minutes ago |
50.219.249.54 | us | 80 | 20 minutes ago |
50.149.13.197 | us | 80 | 20 minutes ago |
67.43.228.250 | ca | 8209 | 20 minutes ago |
50.171.187.52 | us | 80 | 20 minutes ago |
50.219.249.62 | us | 80 | 20 minutes ago |
50.223.246.238 | us | 80 | 20 minutes ago |
128.140.113.110 | de | 3128 | 20 minutes ago |
67.43.236.19 | ca | 17929 | 20 minutes ago |
50.149.13.195 | us | 80 | 20 minutes ago |
103.24.4.23 | sg | 3128 | 20 minutes ago |
50.171.122.28 | us | 80 | 20 minutes ago |
50.223.246.239 | us | 80 | 20 minutes ago |
72.10.164.178 | ca | 16727 | 20 minutes ago |
50.232.104.86 | us | 80 | 20 minutes ago |
50.172.39.98 | us | 80 | 20 minutes ago |
Simple tool for complete proxy management - purchase, renewal, IP list update, binding change, upload lists. With easy integration into all popular programming languages, PapaProxy API is a great choice for developers looking to optimize their systems.
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Open "Options" and then, under "Network", click on "Network Proxy". Now enter in the appropriate fields the IP address of the proxy and its port, based on the type of your proxy: HTTP/HTTPS or SOCKS. In case you suddenly need authorization, enter the authorization data in the appropriate field of the IP address.
If you want to access Instagram data, consider using the Instagram Graph API. However, note that the Graph API has limitations and may not provide access to all public content.
Here is an example using Python and the instagram_private_api library
from instagram_private_api import Client, ClientCompatPatch
# Replace 'your_username' and 'your_password' with your Instagram credentials
username = 'your_username'
password = 'your_password'
api = Client(username, password)
results = api.user_feed('instagram', count=10) # Replace 'instagram' with the target account username
for post in results['items']:
media_id = post['id']
comments = api.media_n_comments(media_id, count=5) # Replace 5 with the desired number of comments to retrieve
for comment in comments['comments']:
print(comment['user']['username'] + ': ' + comment['text'])
api.logout()
To log into an account using Selenium, you need to locate the login form elements, enter the login credentials, and submit the form. The exact steps may vary depending on the website's structure, but here's a general example using C#:
Install the required NuGet packages:
Install-Package OpenQA.Selenium.Chrome.WebDriver -Version 3.141.0
Install-Package OpenQA.Selenium.Support.UI -Version 3.141.0
Create a method to log into an account:
using OpenQA.Selenium;
using OpenQA.Selenium.Support.UI;
using System;
public static void LoginToAccount(IWebDriver driver, string username, string password)
{
// Locate the username field
IWebElement usernameField = driver.FindElement(By.Id("username"));
usernameField.SendKeys(username);
// Locate the password field
IWebElement passwordField = driver.FindElement(By.Id("password"));
passwordField.SendKeys(password);
// Locate the login button and click it
IWebElement loginButton = driver.FindElement(By.Id("login-button"));
loginButton.Click();
// Wait for the login process to complete (optional)
WebDriverWait wait = new WebDriverWait(driver, TimeSpan.FromSeconds(10));
wait.Until(d => d.FindElement(By.Id("logout-link")));
}
Use the LoginToAccount method in your test code:
using OpenQA.Selenium;
using System;
namespace SeleniumLoginExample
{
class Program
{
static void Main(string[] args)
{
// Set up the WebDriver
IWebDriver driver = new ChromeDriver();
driver.Manage().Window.Maximize();
// Navigate to the login page
driver.Navigate().GoToUrl("https://www.example.com/login");
// Wait for the login form to load
WebDriverWait wait = new WebDriverWait(driver, TimeSpan.FromSeconds(10));
IWebElement loginForm = wait.Until(x => x.Id == "login-form");
// Log in to the account
LoginToAccount(driver, "your_username", "your_password");
// Perform any additional actions as needed
// Close the browser
driver.Quit();
}
}
}
In this example, we first create a method called LoginToAccount that takes an IWebDriver instance, a username, and a password as input. Inside the method, we locate the username field, password field, and login button using their respective IDs, and then enter the credentials and click the login button.
In the test code, we set up the WebDriver, navigate to the login page, and wait for the login form to load. Then, we call the LoginToAccount method with the required credentials. After logging in, you can perform any additional actions as needed.
Remember to replace "https://www.example.com/login", "your_username", and "your_password" with the actual login page URL and your credentials.
To set up a proxy in Datacol Parser, follow these steps:
1. Open Datacol Parser and go to the "Settings" menu.
2. Select "Network settings" or "Proxy settings" depending on the version you are using.
3. Click on the "Add" button to create a new proxy profile.
4. Enter the proxy server address, port, and select the protocol (HTTP or HTTPS) from the drop-down menu.
5. If your proxy requires authentication, enter the username and password in the respective fields.
6. Click "Save" to add the proxy profile.
7. To use the proxy, select it from the list of available proxies in the "Proxies" section of your task settings.
Remember to use reliable and trustworthy proxy servers to ensure the security and stability of your tasks in Datacol Parser.
To keep only unique external links while scraping with Scrapy, you can use a set to track the visited external links and filter out duplicates. Here's an example spider that demonstrates how to achieve this:
import scrapy
from urllib.parse import urlparse, urljoin
class UniqueLinksSpider(scrapy.Spider):
name = 'unique_links'
start_urls = ['http://example.com'] # Replace with the starting URL of your choice
visited_external_links = set()
def parse(self, response):
# Extract all links from the current page
all_links = response.css('a::attr(href)').extract()
for link in all_links:
full_url = urljoin(response.url, link)
# Check if the link is external
if urlparse(full_url).netloc != urlparse(response.url).netloc:
# Check if it's a unique external link
if full_url not in self.visited_external_links:
# Add the link to the set of visited external links
self.visited_external_links.add(full_url)
# Yield the link or process it further
yield {
'external_link': full_url
}
# Follow links to other pages
for next_page_url in response.css('a::attr(href)').extract():
yield scrapy.Request(url=urljoin(response.url, next_page_url), callback=self.parse)
- visited_external_links is a class variable that keeps track of the unique external links across all instances of the spider.
- The parse method extracts all links from the current page.
- For each link, it checks if it is an external link by comparing the netloc (domain) of the current page and the link.
- If the link is external, it checks if it is unique by looking at the visited_external_links set.
- If the link is unique, it is added to the set, and the spider yields the link or processes it further.
- The spider then follows links to other pages, recursively calling the parse method.
Remember to replace the start_urls with the URL from which you want to start scraping.
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