IP | Country | PORT | ADDED |
---|---|---|---|
91.205.196.215 | am | 8080 | 31 minutes ago |
14.241.80.37 | vn | 8080 | 31 minutes ago |
80.120.49.242 | at | 80 | 31 minutes ago |
161.35.70.249 | de | 8080 | 31 minutes ago |
203.99.240.182 | jp | 80 | 31 minutes ago |
188.112.179.204 | lv | 80 | 31 minutes ago |
50.218.208.15 | us | 80 | 31 minutes ago |
203.99.240.179 | jp | 80 | 31 minutes ago |
194.158.203.14 | by | 80 | 31 minutes ago |
50.175.123.235 | us | 80 | 31 minutes ago |
72.195.34.59 | us | 4145 | 31 minutes ago |
198.199.86.11 | us | 3128 | 31 minutes ago |
50.218.208.14 | us | 80 | 31 minutes ago |
83.1.176.118 | pl | 80 | 31 minutes ago |
50.207.199.84 | us | 80 | 31 minutes ago |
139.59.1.14 | in | 8080 | 31 minutes ago |
221.6.139.190 | cn | 9002 | 31 minutes ago |
194.219.134.234 | gr | 80 | 31 minutes ago |
72.195.101.99 | us | 4145 | 31 minutes ago |
138.68.60.8 | us | 80 | 31 minutes ago |
Our proxies work perfectly with all popular tools for web scraping, automation, and anti-detect browsers. Load your proxies into your favorite software or use them in your scripts in just seconds:
Connection formats you know and trust: IP:port or IP:port@login:password.
Any programming language: Python, JavaScript, PHP, Java, and more.
Top automation and scraping tools: Scrapy, Selenium, Puppeteer, ZennoPoster, BAS, and many others.
Anti-detect browsers: Multilogin, GoLogin, Dolphin, AdsPower, and other popular solutions.
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In Swift 4 and later, the Decodable protocol provides a convenient way to parse JSON data into Swift objects. Here's an example demonstrating how to use the Decodable protocol to parse JSON in Swift:
Assuming you have the following JSON data:
{
"name": "John Doe",
"age": 30,
"city": "New York"
}
And you want to create a Swift struct to represent this data:
import Foundation
// Define a struct conforming to Decodable
struct Person: Decodable {
let name: String
let age: Int
let city: String
}
// JSON data
let jsonData = """
{
"name": "John Doe",
"age": 30,
"city": "New York"
}
""".data(using: .utf8)!
// Use JSONDecoder to decode JSON data into a Person object
do {
let person = try JSONDecoder().decode(Person.self, from: jsonData)
print("Name: \(person.name)")
print("Age: \(person.age)")
print("City: \(person.city)")
} catch {
print("Error decoding JSON: \(error)")
}
In this example:
Person
struct that conforms to the Decodable
protocol. The struct's properties match the keys in the JSON data.Data
using data(using:)
.JSONDecoder
to decode the JSON data into an instance of the Person
struct.Ensure that the keys in your Swift struct match the keys in your JSON data, and the data types match accordingly. The JSONDecoder
automatically maps the JSON data to the struct based on the property names.
This example assumes a simple JSON structure. If your JSON structure is more complex, you may need to define additional structs conforming to Decodable
to represent nested structures.
In Selenium, you can check if the DOM of a page is loaded by using JavaScriptExecutor. Here's how you can check:
from selenium import webdriver
driver = webdriver.Chrome()
driver.get("http://www.example.com")
while True:
try:
driver.execute_script("return document.readyState")
if driver.execute_script("return document.readyState") == "complete":
print("Page is loaded")
break
except Exception as e:
print("Exception occurred")
In this script, the document.readyState property is used to check if the page is loaded or not. In JavaScript, the "complete" value of document.readyState indicates that the page is loaded.
This script will keep running until the page is loaded. Once the page is loaded, it will print "Page is loaded" and break the loop.
Please note that this script assumes that the page is completely loaded when document.readyState is "complete". However, this is not always the case. Sometimes, some elements may still be loading even when document.readyState is "complete". So, it's better to use explicit or implicit waits to wait for specific elements to be present or visible.
To address the "ERROR conda.core.link:_execute(637)" issue when installing Scrapy (Python 3.7) on Windows 8:
- Update conda: conda update conda
- Create a new virtual environment: conda create -n myenv python=3.7 and then conda activate myenv
- Install Scrapy using conda: conda install scrapy
- Check Python version compatibility with Scrapy.
- Alternatively, try installing Scrapy using pip: pip install scrapy
- Update Anaconda: conda update anaconda
- Temporarily disable antivirus/firewall.
- Verify network connection stability.
- If issues persist, seek assistance from community forums or provide more details for further help.
Technically, a proxy is an ordinary computer or server connected to a network (local or Internet). It accepts traffic from the user, redirects it to the address that was specified in the request. And then receives the response from the server and transmits it to the user's equipment. That is, it is actually an intermediary.
Technically, ISP can block only some intermediary servers by IP-addresses. But it's impossible to block absolutely all VPN-servers, because there are so many of them and their addresses are constantly changing. Accordingly, in this case, you just need to use another VPN-server.
What else…