Proxy Tip

To disable a proxy-server in Yandex browser, you need to do the following steps:

Open the browser. Click on the icon "?" in the upper right corner. Go to "Settings". Type "proxy" in the search box. Click on "Proxy settings". In the tab that opens, select "Network settings". Disable the "Use proxy server" option.

In the messenger settings, go to "Data and storage" and then, in the "Proxy settings" section, click "Add proxy". You can see whether a proxy is connected in Telegram by the presence of the shield icon located in the top menu bar.

To scrape currency rates, you can use various financial data sources that provide reliable and up-to-date exchange rate information. However, keep in mind that scraping financial data may be subject to the terms of service of the respective websites, and it's crucial to comply with their policies.

Here are some legitimate alternatives to scraping:

1. Use a Financial Data API: Many financial data providers offer APIs that provide real-time and historical exchange rate data. Examples include:

   • Open Exchange Rates
   • ExchangeRate-API
   • Alpha Vantage

   These services often require an API key, and they may have free and paid plans with different levels of access.

2. Central Banks and Financial Authorities: Some central banks and financial authorities publish exchange rate information on their official websites. For example, the European Central Bank (ECB) provides daily updated exchange rates.

3. Financial News Websites: Financial news websites often display live exchange rates. You can check websites like Bloomberg, Reuters, or CNBC.

Remember to always check the terms of service and licensing agreements of any data provider you choose to use. Using a legitimate API is generally more reliable and ensures that you're accessing accurate and authorized data.

Avoid scraping from websites that explicitly prohibit scraping or do not provide permission for such activities. Unauthorized scraping may violate terms of service and legal agreements.

To speed up scraping by leveraging asynchronous programming in Python, you can use the asyncio library along with asynchronous HTTP requests. The aiohttp library is commonly used for asynchronous HTTP requests. Here's a basic example to help you get started:

Install Required Packages:

pip install aiohttp

Asynchronous Scraping Script:

import asyncio
import aiohttp

async def scrape_url(session, url):
    try:
        async with session.get(url) as response:
            if response.status == 200:
                content = await response.text()
                # Process the content as needed
                print(f"Scraped {url}: {len(content)} characters")
            else:
                print(f"Failed to scrape {url}. Status code: {response.status}")
    except Exception as e:
        print(f"Error scraping {url}: {str(e)}")

async def main():
    urls_to_scrape = [
        'https://example.com/page1',
        'https://example.com/page2',
        # Add more URLs as needed
    ]

    async with aiohttp.ClientSession() as session:
        tasks = [scrape_url(session, url) for url in urls_to_scrape]
        await asyncio.gather(*tasks)

if __name__ == "__main__":
    asyncio.run(main())

• • This script defines an asynchronous function scrape_url to perform the scraping for a given URL.
  • The main function creates an asynchronous HTTP session using aiohttp.ClientSession and gathers the scraping tasks.
  • The asyncio.run(main()) line runs the main asynchronous function.

• Running the Script:

python your_scraper_script.py

This example demonstrates the basics of asynchronous scraping. Asynchronous programming can significantly speed up scraping tasks, especially when making multiple concurrent HTTP requests.

Keep in mind that not all websites support asynchronous scraping, and some may have restrictions or rate limiting. Always adhere to the website's terms of service, and consider adding delays between requests to avoid overloading the server.

There are several ways to speed up a program on Selenium. Here are some tips:

1. Use a faster browser: Some browsers are faster than others. For example, Chrome is generally faster than Firefox. If you're not already using the fastest browser available, consider switching.

2. Use a faster machine: The speed of your program will also depend on the speed of your machine. If possible, try running your program on a faster machine.

3. Optimize your code: There are many ways to optimize your code to make it run faster. For example, you can use the PageFactory pattern to reduce the time it takes to find elements on a page. You can also use Explicit Waits instead of Implicit Waits to reduce the time your program spends waiting for elements to become available.

4. Use parallel testing: If you have multiple test cases that can be run independently, consider using parallel testing to run them simultaneously. This can greatly speed up your testing process.

5. Use a faster network: If you're running your tests on a remote server, the speed of your network connection can also affect the speed of your program. Consider using a faster network connection if possible.

6. Optimize your test data: If you're using large amounts of test data, consider optimizing it to reduce the time it takes to load and process.

7. Use a faster Selenium grid: If you're using a Selenium grid to run your tests, consider using a faster grid. There are several commercial options available that offer faster grids.

8. Upgrade your Selenium version: If you're using an older version of Selenium, consider upgrading to the latest version. Newer versions often include performance improvements that can speed up your program.

9. Use a faster language: If you're using a slower programming language, consider switching to a faster one. For example, Java is generally faster than Python for Selenium testing.

10. Profile your code: Use a profiling tool to identify the parts of your code that are taking the longest to run. Focus on optimizing these areas to speed up your program.