IP | Country | PORT | ADDED |
---|---|---|---|
50.169.222.243 | us | 80 | 39 minutes ago |
115.22.22.109 | kr | 80 | 39 minutes ago |
50.174.7.152 | us | 80 | 39 minutes ago |
50.171.122.27 | us | 80 | 39 minutes ago |
50.174.7.162 | us | 80 | 39 minutes ago |
47.243.114.192 | hk | 8180 | 39 minutes ago |
72.10.160.91 | ca | 29605 | 39 minutes ago |
218.252.231.17 | hk | 80 | 39 minutes ago |
62.99.138.162 | at | 80 | 39 minutes ago |
50.217.226.41 | us | 80 | 39 minutes ago |
50.174.7.159 | us | 80 | 39 minutes ago |
190.108.84.168 | pe | 4145 | 39 minutes ago |
50.169.37.50 | us | 80 | 39 minutes ago |
50.223.246.238 | us | 80 | 39 minutes ago |
50.223.246.239 | us | 80 | 39 minutes ago |
50.168.72.116 | us | 80 | 39 minutes ago |
72.10.160.174 | ca | 3989 | 39 minutes ago |
72.10.160.173 | ca | 32677 | 39 minutes ago |
159.203.61.169 | ca | 8080 | 39 minutes ago |
209.97.150.167 | us | 3128 | 39 minutes ago |
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It means a proxy server for devices that connect to the router via WiFi. It is also a remote server to let traffic through. For example, a user sends a request to Netflix from his smartphone through a proxy that is hosted in the UK. Netflix servers will "recognize" such a user as being from the UK (regardless of his actual location).
It is a proxy that everyone can connect to. That is, it handles absolutely all requests without interacting with the traffic in any way, without monitoring its packets.
To scrape Binance courses data in Python, you can use web scraping libraries such as BeautifulSoup and requests. Here's an example using BeautifulSoup to scrape Binance courses
Install required libraries:
pip install beautifulsoup4 requests
Write the scraping code:
import requests
from bs4 import BeautifulSoup
def scrape_binance_courses():
url = 'https://www.binance.com/en/academy/courses'
# Send a GET request to the URL
response = requests.get(url)
# Check if the request was successful (status code 200)
if response.status_code == 200:
soup = BeautifulSoup(response.text, 'html.parser')
# Find the container containing course information
course_container = soup.find('div', {'class': 'css-7sfsgn'})
if course_container:
# Extract course details
courses = course_container.find_all('div', {'class': 'css-1jiwjuo'})
for course in courses:
course_title = course.find('div', {'class': 'css-1mg41yd'}).text
course_description = course.find('div', {'class': 'css-1q62c8m'}).text
print(f"Title: {course_title}\nDescription: {course_description}\n")
else:
print("Course container not found.")
else:
print(f"Failed to retrieve the webpage. Status code: {response.status_code}")
# Run the scraping function
scrape_binance_courses()
This example sends a GET request to the Binance Academy courses page, parses the HTML content using BeautifulSoup, and extracts course details such as title and description.
Run the code:
python your_script_name.py
It seems like there might be some confusion in your question. Selenium is a web testing tool that is used to automate browser actions and test web applications. It does not output positions by itself.
If you are referring to a specific situation where Selenium outputs only one position after parsing, it would be helpful to provide more context and details about the issue you are facing. This will allow for a better understanding of the problem and a more accurate solution.
Please provide information about the code you are using, the browser, the version of Selenium, and any error messages or unexpected behavior you are encountering. This will help in diagnosing the issue more accurately and providing a better solution.
If you want to capture data logged to the console in JavaScript and save it to a JSON file, you can follow these steps:
Capture Data in JavaScript:
Log the data you want to capture using console.log in your JavaScript code.
// Example data to be logged
const dataToLog = { key1: 'value1', key2: 'value2', key3: 'value3' };
// Log the data to the console
console.log(dataToLog);
Redirect Console Output:
You can redirect the console output to a variable using console.log = function() { ... }. Create an array to store the logged messages.
// Example array to store console messages
let consoleMessages = [];
// Redirect console.log to store messages in the array
console.log = function() {
consoleMessages.push(Array.from(arguments));
};
// Log the data to the console
console.log(dataToLog);
Write Data to JSON File:
Use the fs (File System) module in Node.js to write the captured data to a JSON file.
const fs = require('fs');
// Write the consoleMessages array to a JSON file
fs.writeFileSync('output.json', JSON.stringify(consoleMessages, null, 2));
Note: The code above assumes you are working in a Node.js environment. If you are in a browser environment, you might need to use other methods to write data to a file, such as using the Blob API and creating a download link.
const jsonData = JSON.stringify(consoleMessages, null, 2);
const blob = new Blob([jsonData], { type: 'application/json' });
const url = URL.createObjectURL(blob);
// Create a download link
const downloadLink = document.createElement('a');
downloadLink.href = url;
downloadLink.download = 'output.json';
// Append the link to the document and trigger the download
document.body.appendChild(downloadLink);
downloadLink.click();
document.body.removeChild(downloadLink);
What else…