IP | Country | PORT | ADDED |
---|---|---|---|
23.247.136.248 | sg | 80 | 17 minutes ago |
61.7.147.227 | th | 4145 | 17 minutes ago |
213.33.126.130 | at | 80 | 17 minutes ago |
183.215.23.242 | cn | 9091 | 17 minutes ago |
91.225.77.138 | ru | 1080 | 17 minutes ago |
187.63.9.62 | br | 63253 | 17 minutes ago |
188.112.179.204 | lv | 80 | 17 minutes ago |
112.86.55.159 | cn | 81 | 17 minutes ago |
185.10.129.14 | ru | 3128 | 17 minutes ago |
194.158.203.14 | by | 80 | 17 minutes ago |
106.107.183.19 | tw | 80 | 17 minutes ago |
79.110.202.184 | pl | 8081 | 17 minutes ago |
37.18.73.60 | ru | 5566 | 17 minutes ago |
61.158.175.38 | cn | 9002 | 17 minutes ago |
70.166.167.55 | us | 57745 | 17 minutes ago |
201.148.125.126 | br | 4153 | 17 minutes ago |
93.117.72.27 | md | 55770 | 17 minutes ago |
221.144.252.148 | kr | 5678 | 17 minutes ago |
62.162.193.125 | mk | 8081 | 17 minutes ago |
212.69.125.33 | ru | 80 | 17 minutes ago |
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Working with dynamically loaded buttons and forms on a webpage in Selenium can be challenging, as these elements may not be present when the page initially loads. To interact with these elements, you'll need to wait for them to become available.
You can use the following strategies to work with dynamically loaded elements in Selenium:
Explicit waits:
Explicit waits allow you to wait for a specific element to become available before interacting with it. This can be useful when working with dynamically loaded elements, as you can wait for the element to appear, become clickable, or disappear.
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
driver = webdriver.Chrome()
driver.get('your_url')
# Replace 'dynamic_button_id' with the ID of the dynamic button
dynamic_button = WebDriverWait(driver, 10).until(
EC.element_to_be_clickable((By.ID, 'dynamic_button_id'))
)
dynamic_button.click()
# Rest of your code
driver.quit()
In this example, we use the WebDriverWait class to wait for the dynamic_button_id element to become clickable. The element_to_be_clickable() method takes a tuple containing the locator strategy and the element's identifier. The 10 parameter specifies the maximum amount of time to wait for the element, in seconds.
1. Implicit waits:
Implicit waits set a global timeout for the WebDriver to wait for elements to become available before throwing a NoSuchElementException. While implicit waits can be useful for some scenarios, they are not recommended for waiting for elements to become clickable, as they can lead to unexpected behavior.
2. Polling:
Polling is a technique where you repeatedly check for the presence of an element at a specific interval. This can be done using a loop and the WebDriverWait class. However, polling can be inefficient and may not be the best solution for waiting for elements to become available.
3. JavaScript execution:
In some cases, you may need to use JavaScript to interact with dynamically loaded elements. You can use the execute_script() method to run JavaScript code that interacts with the webpage.
Here's an example of using JavaScript to click a dynamic button:
from selenium import webdriver
from selenium.webdriver.common.by import By
driver = webdriver.Chrome()
driver.get('your_url')
# Replace 'dynamic_button_id' with the ID of the dynamic button
dynamic_button = driver.find_element(By.ID, 'dynamic_button_id')
driver.execute_script("arguments[0].click();", dynamic_button)
# Rest of your code
driver.quit()
In this example, we use the execute_script() method to run a JavaScript code that clicks the dynamic_button_id element.
When working with dynamically loaded elements, it's essential to use the appropriate waiting strategy to ensure that your code interacts with the elements only when they are available and in the correct state.
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.
Proxies in Instagram are most often used for two purposes. The first is to bypass access blocking. The second is to avoid being banned when working with several accounts at once. The latter, as a rule, is used when arbitrating traffic, when launching massive advertising campaigns, which allows you not to worry about possibly getting a permanent ban.
There are 2 ways to do this. The first is to manually change the settings in /etc/environment, but you will definitely need root access to do that. You can also use the Network Manager utility (compatible with all common DEs). You just have to make sure beforehand that the driver for the network adapter to work properly is installed on the system.
If we are talking about disabling Telegram for Android, you need to go to "Data and Memory" and under "Proxy" find "Proxy settings". Here, under "Connections", you should disable the use of a proxy server. If we are talking about disabling Telegram for iOS, then in the "Data and memory" item, you should select "Proxy", then go to the "Use proxy" column, and then move the slider to the "Off" position.
What else…