Malaysia Residential Proxy

Open the torrent and through the "Menu" enter the subsection "Connection". Under "Proxy" choose a proxy type (Socks5 is best). In the box "Proxy" put IP address of your proxy, and in the "Port" box, respectively, the port of your proxy. If you are going to use proxy authentication, you will have to give your name and password in the corresponding fields. Click "Apply".

The easiest option is to use ready-made online proxy checkers. For example, Hidemy.name, which shows the type of protocol used. Or you can simply run Speedtest - this will show you the bandwidth and response speed (ping).

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.

Creating your own proxy server can be a complex process that requires knowledge of networking, programming, and server management. However, if you're interested in setting up a proxy server, here's a general outline of the steps you'll need to follow:

1. Choose a server: You'll need a dedicated server or a computer to act as your proxy server. Make sure the server has a stable internet connection and sufficient resources (RAM, storage, and bandwidth) to handle the traffic.

2. Install an operating system: Install a suitable operating system on your server, such as Linux (e.g., Ubuntu, CentOS, or Debian).

3. Configure the server: Set up your server by configuring the firewall, routing, and network settings. You may need to edit configuration files or use command-line tools to make these changes.

4. Install a proxy server software: Choose a proxy server software or platform to run on your server. Some popular options include Squid, Privoxy, and Caddy. Install the software using the package manager for your operating system (e.g., apt-get for Debian-based systems or yum for CentOS-based systems).

5. Configure the proxy server: Open the configuration file for your proxy server software (usually a text file) and edit the settings to match your requirements. You'll need to configure the listening port, IP addresses to forward requests to, and other settings such as authentication, logging, and caching.

6. Test the proxy server: Once you've configured the proxy server, test it to ensure it's working correctly. You can use online tools or test it with your web browser by configuring the browser to use your proxy server.

7. Secure the proxy server: Implement security measures to protect your proxy server from unauthorized access and potential attacks. This may include setting up a firewall, using strong authentication, and keeping the server software up to date with the latest security patches.

8. Maintain and monitor: Regularly monitor the performance and security of your proxy server, and perform routine maintenance tasks such as updating software, checking logs, and ensuring sufficient resources are available.

To optimize the performance of Selenium with Chrome and Chromedriver, you can consider several strategies:

Latest Versions:
Ensure that you are using the latest version of Chrome and Chromedriver. They are frequently updated to include performance improvements and bug fixes.

Chromedriver Version Compatibility:
Make sure that the version of Chromedriver you are using is compatible with the version of Chrome installed on your machine. Mismatched versions may lead to unexpected behavior.

Headless Mode:
If you don't need to see the browser window during automation, consider running Chrome in headless mode. Headless mode can significantly improve the speed of browser automation.

chrome_options.add_argument('--headless')

Chrome Options:
Experiment with different Chrome options to see how they affect performance. For example, you can set options related to GPU usage, image loading, and more.

chrome_options.add_argument('--disable-gpu')
chrome_options.add_argument('--blink-settings=imagesEnabled=false')

Page Loading Strategy:
Adjust the page loading strategy. For example, you can set pageLoadStrategy to 'eager' or 'none' if it fits your use case.

chrome_options.add_argument('--pageLoadStrategy=eager')

Timeouts:
Adjust timeouts appropriately. For example, setting script timeouts or implicit waits can help to avoid unnecessary waiting times.

driver.set_script_timeout(10)
driver.implicitly_wait(5)

Parallel Execution:
Consider parallel execution of tests. Running tests in parallel can significantly reduce overall execution time.

Browser Window Size:
Set a specific window size to avoid unnecessary rendering.

chrome_options.add_argument('window-size=1920x1080')

Disable Extensions:
Disable unnecessary Chrome extensions during testing.

chrome_options.add_argument('--disable-extensions')

Logging:
Enable logging to identify any issues or bottlenecks.

service_args = ['--verbose', '--log-path=/path/to/chromedriver.log']
service = ChromeService(executable_path='/path/to/chromedriver', service_args=service_args)