IP | Country | PORT | ADDED |
---|---|---|---|
50.169.222.242 | us | 80 | 38 minutes ago |
50.175.123.238 | us | 80 | 38 minutes ago |
50.202.75.26 | us | 80 | 38 minutes ago |
32.223.6.94 | us | 80 | 38 minutes ago |
50.231.110.26 | us | 80 | 38 minutes ago |
50.168.72.117 | us | 80 | 38 minutes ago |
195.23.57.78 | pt | 80 | 38 minutes ago |
159.203.61.169 | ca | 8080 | 38 minutes ago |
185.132.242.212 | ru | 8083 | 38 minutes ago |
50.149.15.40 | us | 80 | 38 minutes ago |
50.232.104.86 | us | 80 | 38 minutes ago |
50.218.208.13 | us | 80 | 38 minutes ago |
85.214.107.177 | de | 80 | 38 minutes ago |
50.175.212.79 | us | 80 | 38 minutes ago |
50.145.138.156 | us | 80 | 38 minutes ago |
50.172.88.212 | us | 80 | 38 minutes ago |
50.149.15.36 | us | 80 | 38 minutes ago |
72.10.160.173 | ca | 33171 | 38 minutes ago |
50.175.123.233 | us | 80 | 38 minutes ago |
50.172.150.134 | us | 80 | 38 minutes ago |
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To wait for a button to be clickable using Selenium, you can use the WebDriverWait class along with the expected_conditions module. Here's an example using Python:
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
# Set the path to the ChromeDriver executable
chrome_driver_path = "path/to/chromedriver"
# Initialize the Chrome WebDriver
driver = webdriver.Chrome(executable_path=chrome_driver_path)
# Your Selenium code goes here
# Wait for the button to be clickable
button = WebDriverWait(driver, 10).until(
EC.element_to_be_clickable((By.ID, "button-id"))
)
# Click the button
button.click()
# Your code after clicking the button
# Close the browser
driver.quit()
Replace path/to/chromedriver with the appropriate path to your ChromeDriver executable and "button-id" with the ID of the button you want to wait for.
In this example, WebDriverWait will wait for up to 10 seconds for the button with the specified ID to become clickable. If the button is not clickable within the specified time, a TimeoutException will be raised.
You can also use other expected_conditions such as visibility_of_element_located, presence_of_element_located, or staleness_of depending on your specific use case.
To emulate mouse wheel scrolling and keystrokes in Selenium WebDriver with Node.js, you can use the Actions class to perform these actions. Here's an example that demonstrates scrolling and sending keystrokes:
const { Builder, By, Key } = require('selenium-webdriver');
(async function example() {
// Create a new instance of the WebDriver
const driver = await new Builder().forBrowser('chrome').build();
try {
// Navigate to a webpage
await driver.get('https://example.com');
// Perform mouse wheel scrolling
await driver.actions().move({ x: 0, y: 0 }).sendKeys(Key.PAGE_DOWN).perform();
await driver.sleep(1000); // Sleep for 1 second to see the effect
// Perform keystrokes in an input field
const inputField = await driver.findElement(By.css('input[type="text"]'));
await inputField.sendKeys('Hello, this is some text.');
await driver.sleep(1000); // Sleep for 1 second to see the effect
} finally {
// Close the browser window
await driver.quit();
}
})();
- driver.actions() creates an instance of the Actions class.
- move({ x: 0, y: 0 }) is used to position the mouse at coordinates (0, 0).
- sendKeys(Key.PAGE_DOWN) performs a mouse wheel scrolling action. You can replace Key.PAGE_DOWN with other keys or combinations according to your needs.
- sendKeys() is also used to input text into an input field. The inputField variable is a reference to the input field on the webpage, and sendKeys() is called to type text into it.
Make sure to replace the URL in driver.get('https://example.com') with the URL of the webpage you are working on, and adjust the CSS selector for the input field according to your webpage's structure.
Additionally, you may need to install the selenium-webdriver package if you haven't already:
npm install selenium-webdriver
If you can't download images in Scrapy:
- Check the image pipeline configuration in settings.py.
- Verify HTTPS compatibility and install the certifi package if necessary.
- Confirm the correctness of XPath or CSS selectors for image URLs.
- Ensure image URLs are in the correct format; log URLs for inspection.
- Handle redirects by setting REDIRECT_ENABLED = True.
- Check and set appropriate HTTP headers in your Scrapy spider.
- Adjust the CONCURRENT_REQUESTS setting to avoid server restrictions.
- Verify correct configuration of the ImagesPipeline.
- Inspect the downloaded images in the specified IMAGES_STORE directory.
- Implement exception handling in your spider to catch download errors.
Most users use A-Parser for this purpose. It is one of the best applications for checking web applications. There is a corresponding tab, "Proxy server", in the standard menu of A-Parser. It is where you can specify the settings for the connection. And in the "Tools" section you can use parameters for parsing.
Open the control panel of your computer, find and select the item "Network connection", and then click "Show network connections", "Local network connections" and "Properties". If there is a tick next to "Obtain an IP address automatically", then no dedicated proxy has been used. If you see numbers there, it will be your address.
What else…