IP | Country | PORT | ADDED |
---|---|---|---|
50.169.222.243 | us | 80 | 12 minutes ago |
115.22.22.109 | kr | 80 | 12 minutes ago |
50.174.7.152 | us | 80 | 12 minutes ago |
50.171.122.27 | us | 80 | 12 minutes ago |
50.174.7.162 | us | 80 | 12 minutes ago |
47.243.114.192 | hk | 8180 | 12 minutes ago |
72.10.160.91 | ca | 29605 | 12 minutes ago |
218.252.231.17 | hk | 80 | 12 minutes ago |
62.99.138.162 | at | 80 | 12 minutes ago |
50.217.226.41 | us | 80 | 12 minutes ago |
50.174.7.159 | us | 80 | 12 minutes ago |
190.108.84.168 | pe | 4145 | 12 minutes ago |
50.169.37.50 | us | 80 | 12 minutes ago |
50.223.246.238 | us | 80 | 12 minutes ago |
50.223.246.239 | us | 80 | 12 minutes ago |
50.168.72.116 | us | 80 | 12 minutes ago |
72.10.160.174 | ca | 3989 | 12 minutes ago |
72.10.160.173 | ca | 32677 | 12 minutes ago |
159.203.61.169 | ca | 8080 | 12 minutes ago |
209.97.150.167 | us | 3128 | 12 minutes ago |
Simple tool for complete proxy management - purchase, renewal, IP list update, binding change, upload lists. With easy integration into all popular programming languages, PapaProxy API is a great choice for developers looking to optimize their systems.
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If PhantomJS doesn't find an element by XPATH, there are a few potential issues that could be causing the problem. Here are some steps you can take to troubleshoot and resolve the issue:
1. Check the XPATH: Make sure the XPATH you're using is correct and points to the right element on the page. You can use browser developer tools to inspect the element and obtain the correct XPATH.
2. Wait for the element to load: Sometimes, the element might not be loaded when the script tries to find it. In such cases, you can use the WebDriverWait class to wait for the element to be present before interacting with it.
Example:
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.PhantomJS()
driver.get("http://example.com")
wait = WebDriverWait(driver, 10)
element = wait.until(EC.presence_of_element_located((By.XPATH, "//your/xpath/here")))
3. Use different locator strategies: If the XPATH is correct but still not working, try using other locator strategies like ID, NAME, or CSS_SELECTOR to locate the element.
4. Update PhantomJS: Make sure you are using the latest version of PhantomJS. Older versions might have issues with certain web pages or elements.
5. Check for JavaScript errors: PhantomJS might not be able to find the element if there are JavaScript errors on the page. Open the page in a regular browser and check for any errors in the console.
6. Use a different headless browser: If PhantomJS continues to give you trouble, consider using a different headless browser like Headless Chrome or Headless Firefox. These browsers are more up-to-date and have better support for modern web technologies.
Remember to replace "//your/xpath/here" with the actual XPATH you are trying to use, and ensure that the XPATH points to the correct element on the page.
UDP (User Datagram Protocol) is a transport layer protocol that provides a simple and fast way to send data over a network. Unlike TCP, UDP does not establish a connection between the sender and receiver before sending data. Instead, UDP uses a connectionless communication model, where each datagram (data packet) is sent independently.
Here's how UDP works:
1. The sender application prepares the data to be sent and wraps it in a UDP datagram. This datagram contains the data, the source IP address, the destination IP address, and a checksum for error detection.
2. The sender application sends the UDP datagram to the network layer, which then forwards it to the appropriate network interface for transmission.
3. The datagram is transmitted over the network as a single, self-contained packet. There is no guarantee that the datagram will reach its destination, as UDP does not provide any error correction or retransmission mechanisms.
4. The receiving application listens for incoming UDP datagrams on a specific port. When a datagram arrives, the network layer forwards it to the appropriate application.
5. The receiving application processes the datagram, extracts the data, and handles any errors detected by the checksum.
It's important to note that UDP does not establish a connection between the sender and receiver. This means that there is no handshake or acknowledgment of receipt, and the sender does not know if the datagram was successfully delivered. UDP is often used for applications that prioritize speed over reliability, such as video streaming, online gaming, and VoIP (Voice over Internet Protocol).
To set up a proxy in Datacol Parser, follow these steps:
1. Open Datacol Parser and go to the "Settings" menu.
2. Select "Network settings" or "Proxy settings" depending on the version you are using.
3. Click on the "Add" button to create a new proxy profile.
4. Enter the proxy server address, port, and select the protocol (HTTP or HTTPS) from the drop-down menu.
5. If your proxy requires authentication, enter the username and password in the respective fields.
6. Click "Save" to add the proxy profile.
7. To use the proxy, select it from the list of available proxies in the "Proxies" section of your task settings.
Remember to use reliable and trustworthy proxy servers to ensure the security and stability of your tasks in Datacol Parser.
To create a local proxy server using Privoxy, follow these steps:
1. Install Privoxy.
2. Edit the configuration file: Uncomment the listen-address, listen-port, forward-suffix, and destination-server lines.
3. Save and restart Privoxy.
4. Configure your browser to use the local proxy server.
5. Test the local proxy server.
Ensure you have proper security measures in place, as creating a local proxy server can have privacy implications.
When creating a Scrapy project in a Docker container, the project files are often placed in the /usr/src/app directory by default. This is a common practice in Docker images for Python projects to keep the source code organized.
Here's a simple example of creating a Scrapy project within a Docker container:
Create a Dockerfile:
Create a file named Dockerfile with the following content:
FROM python:3.8
# Set the working directory
WORKDIR /usr/src/app
# Install dependencies
RUN pip install scrapy
# Create a Scrapy project
RUN scrapy startproject myproject
# Set the working directory to the Scrapy project
WORKDIR /usr/src/app/myproject
Build and Run the Docker Image:
Build the Docker image and run a container:
docker build -t scrapy-container .
docker run -it scrapy-container
This will create a Docker image with Scrapy installed and a new Scrapy project named myproject in the /usr/src/app directory.
Check Project Directory:
When you are inside the container, you can check the contents of the /usr/src/app directory using the ls command:
ls /usr/src/app
You should see the myproject directory among the listed items.
By setting the working directory to /usr/src/app and using it as the base directory for the Scrapy project, it helps keep the project files organized within the container. You can modify the Dockerfile according to your project structure and requirements.
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