Nowgg Proxy

Scraping without libraries in Python typically involves making HTTP requests, parsing HTML (or other markup languages), and extracting data using basic string manipulation or regular expressions. However, it's important to note that using established libraries like requests for making HTTP requests and BeautifulSoup or lxml for parsing HTML is generally recommended due to their ease of use, reliability, and built-in features.

Here's a simple example of scraping without libraries, where we use Python's built-in urllib for making an HTTP request and then perform basic string manipulation to extract data. In this example, we'll scrape the title of a website:

import urllib.request

def scrape_website(url):
    try:
        # Make an HTTP request
        response = urllib.request.urlopen(url)
        
        # Read the HTML content
        html_content = response.read().decode('utf-8')

        # Extract the title using string manipulation
        title_start = html_content.find('', title_start)
        title = html_content[title_start:title_end].strip()

        return title
    except Exception as e:
        print(f"Error: {e}")
        return None

# Replace 'https://example.com' with the URL you want to scrape
url_to_scrape = 'https://example.com'
scraped_title = scrape_website(url_to_scrape)

if scraped_title:
    print(f"Scraped title: {scraped_title}")
else:
    print("Scraping failed.")

Keep in mind that scraping without libraries can quickly become complex as you need to handle various aspects such as handling redirects, managing cookies, dealing with different encodings, and more. Libraries like requests and BeautifulSoup abstract away many of these complexities and provide a more robust solution.

Using established libraries is generally recommended for web scraping due to the potential pitfalls and challenges involved in handling various edge cases on the web. Always ensure that your scraping activities comply with the website's terms of service and legal requirements.

Scraping business contacts using regular expressions can be challenging and error-prone, especially considering the variations in contact information formats. Instead of using regular expressions directly, a better approach is to use a dedicated HTML parser like DOMDocument or a library like Simple HTML DOM Parser in PHP. This allows you to navigate the HTML structure and extract relevant information more reliably.

Here's an example using Simple HTML DOM Parser to scrape business contact information

Install Simple HTML DOM Parser:

You can download it from sourceforge and include it in your project, or use Composer:

composer require sunra/php-simple-html-dom-parser

Scraping Script:

find('span.phone-number') as $phoneElement) {
        $contacts[] = $phoneElement->plaintext;
    }

    // Example: Extracting email addresses
    foreach ($html->find('a.email') as $emailElement) {
        $contacts[] = $emailElement->plaintext;
    }

    // Add more logic to extract other types of contact information

    return $contacts;
}

// Example usage
$url = 'https://example.com/business-page';
$businessContacts = scrapeBusinessContacts($url);

// Print the extracted contacts
print_r($businessContacts);

2. Adjust the HTML element selectors (span.phone-number, a.email, etc.) based on the structure of the business contacts on the target website.

Remember:

• Web scraping might violate the terms of service of some websites, so always check and comply with the website's policies.
• The HTML structure of a webpage can change, so your scraping code might need adjustments if the website updates its design.
• Web scraping may be subject to legal and ethical considerations. Ensure you have the right to scrape and use the data.

To reduce the resource consumption of Selenium with Google Chrome, you can try the following methods:

1. Use ChromeOptions:

You can use the ChromeOptions class to configure ChromeDriver settings that can help reduce resource consumption. For example, you can set the window size to a smaller value or disable certain features like animations and extensions.

from selenium import webdriver
from selenium.webdriver.chrome.options import Options

chrome_options = Options()
chrome_options.add_argument("--start-maximized")
chrome_options.add_argument("--disable-extensions")
chrome_options.add_argument("--disable-gpu")
chrome_options.add_argument("--headless")

driver = webdriver.Chrome(options=chrome_options)

driver.get('your_url')

# Rest of your code

driver.quit()

2. Use a headless browser:

A headless browser is a browser that runs without a graphical user interface (GUI). Running a headless browser can reduce resource consumption, as it doesn't require rendering a visual interface. You can enable headless mode by adding the --headless argument to the ChromeOptions.

3. Limit the number of concurrent instances:

If you're running multiple instances of Selenium with ChromeDriver, consider limiting the number of concurrent instances to avoid overloading your system resources.

4. Use a lighter browser:

Consider using a lighter browser like Firefox or Edge instead of Google Chrome. These browsers generally consume fewer resources than Chrome, and you can still use Selenium with them.

5. Close unnecessary browser tabs:

Close any unnecessary browser tabs or windows to free up system resources.

6. Optimize your code:

Review your Selenium code to identify and remove any unnecessary or inefficient operations that may be consuming resources. For example, avoid using excessive loops, and use explicit waits instead of implicit waits.

Remember that the specific resource consumption of Selenium with Google Chrome depends on various factors, including the complexity of the web pages you're testing, the number of elements on the page, and the performance of your system. Experiment with the above methods to find the best combination for your needs.

To transfer requests session from Requests to Selenium, you can follow these steps:

First, import the necessary libraries:

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from requests.sessions import Session

Create a new requests session and perform your requests:

req_session = Session()
response = req_session.get('https://example.com')

Now, create a new Selenium WebDriver instance and pass the requests session as a parameter:

driver = webdriver.Chrome()
driver.get('https://example.com')
req_session_cookies = req_session.cookies.get_dict()
driver.add_cookies(list(req_session_cookies.values()))

Use Selenium to interact with the web page:

search_box = WebDriverWait(driver, 10).until(EC.visibility_of_element_located((By.ID, 'search-box')))
search_box.send_keys('your search query')
search_box.send_keys(Keys.RETURN)

To continue using the same session for subsequent requests, you can create a new requests session with the cookies from the Selenium driver:

selenium_session_cookies = driver.get_cookies()
new_req_session = Session()
for cookie in selenium_session_cookies:
    new_req_session.cookies.set(cookie['name'], cookie['value'])

Now you can use the new_req_session to make new requests while maintaining the same session as the Selenium driver.

Remember to close the Selenium driver after you're done:

driver.quit()

Click on the globe icon (settings panel) and open the IPoE tab. On the page that opens, select "ISP Broadband Connection". Switch the "Configure IP Settings" to "Manual" mode. After that, fill in the appropriate fields and press the "Apply" button. In the menu, under "Home network", find the "Computers" item and by clicking on the tab IPMP Proxy, uncheck the appropriate checkbox. Now find the "Components" item, install and activate the Proxy UDP HTTP utility and then update it. The next step is to click on "Home Network-Computers". In the window that appears, make the checkbox "Enable UPDXY server" active and enter the values required by the program. Then, after selecting the Broadband Connection as the communication channel, click on the "Apply" button.