Fast Mobile Proxy

If you're developing a web application and want to display scraping results in an inline button, you typically use a combination of HTML, JavaScript, and possibly a backend server (e.g., using Node.js or another server-side technology). Below is a simple example using HTML and JavaScript to demonstrate how you might achieve this. Please note that this example assumes you have a backend server to handle the scraping logic.

Let's create a simple HTML file:

In this example:

• The scrapeData function simulates the backend scraping logic. Replace it with your actual scraping code.
• The updateResultContainer function dynamically creates a button and attaches a click event listener to display the scraped result.
• The script simulates a scraping request, retrieves the result, and updates the result container.

Please note that this is a basic example, and in a real-world scenario, you would likely have a backend server to handle scraping, and you would use AJAX or fetch to make asynchronous requests to the server.

JSON scraping typically involves extracting data from a JSON response obtained from an API. When you mention doing JSON scraping sequentially, it could mean processing items in the JSON response one after another. Below is a simple example in Python that demonstrates sequential processing of JSON data:

import requests

def fetch_data(url):
    response = requests.get(url)
    return response.json()

def process_item(item):
    # Replace this with your actual processing logic
    print("Processing item:", item)

def scrape_sequentially(api_url):
    data = fetch_data(api_url)

    # Assuming the JSON response is a list of items
    if isinstance(data, list):
        for item in data:
            process_item(item)
    else:
        print("Invalid JSON format. Expected a list of items.")

# Replace 'https://example.com/api/data' with the actual API URL
api_url = 'https://example.com/api/data'
scrape_sequentially(api_url)

In this example:

1. The fetch_data function sends a GET request to the specified API URL and returns the JSON response.
2. The process_item function represents the logic you want to apply to each item in the JSON response.
3. The scrape_sequentially function fetches the JSON data, checks if it's a list, and then iterates through each item, applying the processing logic sequentially.

Make sure to replace the placeholder URL 'https://example.com/api/data' with the actual URL of the API you want to scrape.

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.

The current version of Skype does not have built-in functionality to work with proxies. That is, it must be configured at the operating system level. The messenger is available for Linux, Windows, MacOS and mobile platforms.

Select the "Proxy" tab in the "Network" window, then click on Win+C and find the "Settings" item. In the window that opens, stop at "Change computer settings" and go to "Network". Select the "Proxy" line here and disable the proxy functionality.