The provided code will help in sending requests from different IP addresses. However, there is no guarantee that the target website will not block the IP addresses provided by the proxies.

To increase the chances of successful scraping and avoid IP blocking, consider the following best practices:

1. Implement rate limiting: Insert a random delay between requests to reduce the rate at which you are sending requests to the website. You can use the time.sleep() function along with a random interval. For example:

   import time
   from random import randint

   time.sleep(randint(2, 10))


2. Use a rotating proxy service: Instead of using a static list of proxies, consider using a rotating proxy service that provides a large number of proxy servers and rotates them automatically.

3. Respect the website’s robots.txt file: Be sure to check the target website’s robots.txt file to ensure that you are allowed to scrape the required data.

4. Spoof user-agent strings: Websites might block requests that come from automated user-agents. Make your requests appear more human-like by using random user-agent strings.

   from playwright.async_api import async_playwright
   from fake_useragent import UserAgent

   ua = UserAgent()

   async def get_token_info(token_symbol, proxy):
       async with async_playwright() as p:
           browser = await p.chromium.launch(
               headless=True,
               proxy={“server”: proxy},
               user_agent=ua.random,
           )
           # Rest of the existing code…


By combining these best practices with the provided code, you can significantly improve your chances of successful scraping without getting blocked by the target website. Nevertheless, it’s essential to comply with the website’s terms and conditions and ensure that you’re using compliant web scraping practices.

Основываясь на твоем ответе расположенном выще, реализуй все эти пункты через программный код с подробными комментариями
The provided code will help in sending requests from different IP addresses. However, there is no guarantee that the target website will not block the IP addresses provided by the proxies.

To increase the chances of successful scraping and avoid IP blocking, consider the following best practices:

1. Implement rate limiting: Insert a random delay between requests to reduce the rate at which you are sending requests to the website. You can use the time.sleep() function along with a random interval. For example:

   import time
   from random import randint

   time.sleep(randint(2, 10))


2. Use a rotating proxy service: Instead of using a static list of proxies, consider using a rotating proxy service that provides a large number of proxy servers and rotates them automatically.

3. Respect the website’s robots.txt file: Be sure to check the target website’s robots.txt file to ensure that you are allowed to scrape the required data.

4. Spoof user-agent strings: Websites might block requests that come from automated user-agents. Make your requests appear more human-like by using random user-agent strings.

   from playwright.async_api import async_playwright
   from fake_useragent import UserAgent

   ua = UserAgent()

   async def get_token_info(token_symbol, proxy):
       async with async_playwright() as p:
           browser = await p.chromium.launch(
               headless=True,
               proxy={“server”: proxy},
               user_agent=ua.random,
           )
           # Rest of the existing code…


By combining these best practices with the provided code, you can significantly improve your chances of successful scraping without getting blocked by the target website. Nevertheless, it’s essential to comply with the website’s terms and conditions and ensure that you’re using compliant web scraping practices.

Based on your answer above, implement all of these points through code with detailed comments.