TLS Proxy Server

Go to the site Register and confirm profile creation via email (may go into your spam folder). Add accounts from Instagram. Click on your username at the top right. Go to "Proxy Settings." Click on "Add new proxy". Specify your proxy details. Select the Instagram accounts you want to proxy.

It depends on which browser you are using. In Opera, Chrome, Edge a proxy is configured at the level of the operating system itself. In Firefox in the settings there is a special item (in the "Privacy" section).

To reduce constant repetition of find_element() in Selenium, you can use the following techniques:

Store elements in variables:

When you locate an element once, store it in a variable and reuse it throughout the script. This reduces the need to call find_element() multiple times.

from selenium import webdriver

driver = webdriver.Chrome()
driver.get("https://www.example.com")

# Store the element in a variable
element = driver.find_element(By.ID, "element-id")

# Reuse the element
element.click()

Use loops and lists:

If you need to interact with multiple elements, store them in a list and use a loop to iterate through the elements.

from selenium import webdriver

driver = webdriver.Chrome()
driver.get("https://www.example.com")

# Find all elements and store them in a list
elements = driver.find_elements(By.CLASS_NAME, "element-class")

# Iterate through the list and interact with each element
for element in elements:
    element.click()

Use explicit waits:

Use explicit waits to wait for an element to become available or visible before interacting with it. This reduces the need to call find_element() multiple times, as the script will wait for the element to be ready.

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

driver = webdriver.Chrome()
driver.get("https://www.example.com")

# Wait for the element to become visible
wait = WebDriverWait(driver, 10)
visible_element = wait.until(EC.visibility_of_element_located((By.ID, "element-id")))

# Interact with the element
visible_element.click()

Use the all_elements_available attribute:

The all_elements_available attribute is available in some browser drivers, such as ChromeDriver. It returns a list of all elements that match the given selector. You can use this attribute to interact with multiple elements without using loops.

from selenium import webdriver

driver = webdriver.Chrome()
driver.get("https://www.example.com")

# Get a list of all elements that match the selector
elements = driver.find_elements(By.CLASS_NAME, "element-class")

# Interact with each element
for element in elements:
    element.click()

Remember to replace "https://www.example.com", "element-id", "element-class", and other elements with the actual values for the website you are working with. Also, ensure that the browser driver (e.g., ChromeDriver for Google Chrome) is installed and properly configured in your environment.

To pass a Selenium WebDriver instance to a Python decorator, you can create a custom decorator that takes the WebDriver instance as an argument. Here's an example of how to do this:

First, create a custom decorator that accepts the WebDriver instance:

def webdriver_decorator(driver):
    def decorator(func):
        @functools.wraps(func)
        def wrapper(*args, **kwargs):
            return func(driver, *args, **kwargs)
        return wrapper
    return decorator

Create a function that takes the WebDriver instance as an argument and performs the desired action:

from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

def my_function(driver, search_query):
    driver.get('https://example.com')
    search_box = WebDriverWait(driver, 10).until(EC.visibility_of_element_located((By.ID, 'search-box')))
    search_box.send_keys(search_query)
    search_box.send_keys(Keys.RETURN)

Apply the custom decorator to the function and pass the WebDriver instance:

@webdriver_decorator
def my_function_with_decorator(driver, search_query):
    return my_function(driver, search_query)

Now you can use the decorated function and pass the WebDriver instance:

driver = webdriver.Chrome()
driver.get('https://example.com')

search_results = my_function_with_decorator(driver, 'your search query')

In this example, the my_function_with_decorator function is the same as the my_function function, but it is wrapped by the webdriver_decorator. When you call my_function_with_decorator, you need to pass the WebDriver instance as the first argument.

To scrape all HTML content from a website using Scrapy, you need to create a spider that visits each page of the website and extracts the HTML content. Here's a simple example:

Create a Scrapy Project:
If you haven't already, create a Scrapy project by running the following commands in your terminal or command prompt:

scrapy startproject myproject
cd myproject

Define a Spider:
Open the spiders directory in your project and create a spider (e.g., html_spider.py). Edit the spider file with the following content:

import scrapy

class HtmlSpider(scrapy.Spider):
    name = 'html_spider'
    start_urls = ['http://example.com']  # Start with the main page of the website

    def parse(self, response):
        # Extract HTML content and yield it
        html_content = response.text
        yield {
            'url': response.url,
            'html_content': html_content
        }

        # Follow links to other pages (if needed)
        for next_page_url in response.css('a::attr(href)').extract():
            yield scrapy.Request(url=next_page_url, callback=self.parse)

This spider, named html_spider, starts with the main page (start_urls) and extracts the HTML content. It then follows links (a::attr(href)) to other pages and extracts their HTML content as well.

Run the Spider:
Run your spider using the following command:

scrapy crawl html_spider -o output.json

This command will execute the html_spider and save the output in a JSON file named output.json. Each item in the JSON file will contain the URL and HTML content of a page.