Ygg Proxy

The first thing to do is to go into the "Settings" of the messenger. In the "Data and Memory" section, at the very bottom, are the "Proxy Settings". Activate "Use proxy" and select the protocol SOCKS5, then in the line "Server" write the address and in the line "Port" - the port of the proxy. Since SOCKS5 often uses a system of authentication, you'll need to enter your username and password in the appropriate lines. Sign the result by clicking the checkbox at the top right corner of the screen. When you have connected the proxy to Telegram, don't forget to click "Share" and select the desired contacts.

There are three types of proxies that work using three types of protocols. The weakest one is HTTP. It is long outdated and unsuitable for visiting web resources. HTTPS works through a secure protocol and is most often used for web surfing. SOCKS5 proxies are capable of working with the largest number of programs and protocols. They are also beneficial because they keep your IP address anonymous in the request header.

Extreme RAM consumption in Firefox Selenium can be caused by a variety of factors. Here are some steps you can take to troubleshoot and resolve the issue:

1. Update Firefox and Selenium: Ensure you are using the latest versions of Firefox and Selenium, as updates often include performance improvements and bug fixes.

2. Use Firefox Options: When initializing the Firefox WebDriver, pass the -marionette option to use the Marionette protocol, which can help reduce memory usage.

from selenium import webdriver

driver = webdriver.Firefox(executable_path, options=["-marionette"])

3. Use Firefox Profile: Create a custom Firefox profile and use it with Selenium to limit memory usage.

from selenium import webdriver
from selenium.webdriver.firefox.options import Options
from selenium.webdriver.firefox.firefox_profile import FirefoxProfile

profile = FirefoxProfile()
profile.set_preference("browser.sessionstore.max_tabs_undoc", 0)
profile.set_preference("browser.sessionstore.max_windows_undoc", 0)
profile.set_preference("browser.sessionstore.max_windows", 0)
profile.set_preference("browser.sessionstore.max_tabs", 0)

options = Options()
options.profile = profile

driver = webdriver.Firefox(executable_path, options=options)

4. Limit Browser Tabs: If you are using multiple tabs, try to limit the number of tabs open at the same time, as each tab consumes additional memory.

5. Disable Extensions: Disable any unnecessary browser extensions, as they can consume memory and slow down the browser.

6. Close Unused Windows: Close any unnecessary browser windows to free up memory.

7. Adjust Timeouts: Increase the implicit and explicit wait timeouts to reduce the frequency of operations that might cause memory leaks.

driver.implicitly_wait(10)
driver.set_page_load_timeout(10)

8. Use Headless Mode: Run Firefox in headless mode to reduce memory usage by not rendering the UI.

options.add_argument("--headless")

9. Monitor Memory Usage: Use tools like Task Manager (Windows) or Activity Monitor (macOS) to monitor memory usage and identify any specific tests or operations that are causing high memory consumption.

10. Profile Memory Usage: Use Firefox's built-in performance profiling tools to identify memory leaks and optimize your code.

If none of these steps resolve the issue, consider using a different browser or WebDriver, such as Chrome or Edge, which may have better memory management.

To save the results of two Scrapy spiders into one JSON file, you can follow these general steps:

Run Both Spiders:
Run both Scrapy spiders separately to generate their respective output files. Let's assume you have two spiders named spider1 and spider2.

scrapy crawl spider1 -o output1.json
scrapy crawl spider2 -o output2.json

Merge JSON Files:
After running both spiders, you can merge the contents of the two JSON files into a single file using various methods. One way is to use a scripting language like Python.

import json

# Read the contents of both JSON files
with open('output1.json') as f1, open('output2.json') as f2:
    data1 = json.load(f1)
    data2 = json.load(f2)

# Combine the data from both spiders
combined_data = data1 + data2

# Write the combined data to a new JSON file
with open('combined_output.json', 'w') as combined_file:
    json.dump(combined_data, combined_file, indent=2)

Save this Python script (e.g., merge_json.py) in the same directory as the JSON files, and then run it:

python merge_json.py

This script reads the contents of both JSON files, combines the data, and writes the result into a new file (combined_output.json).

Verify the Result:
Check the combined_output.json file to ensure that it contains the merged data from both spiders.

It depends on the purpose for which you plan to work with proxies at all. Personally, one is enough for myself. But if you plan to do massive parsing, it may not be enough to have 100 pieces.