python-user-agents | Python library that provides an easy way | Parser library

from random_user_agent.user_agent import UserAgent
from random_user_agent.params import SoftwareName

user_agent_rotator = UserAgent(software_names=[SoftwareName.CHROME.value], limit=100)
user_agent = user_agent_rotator.get_random_user_age

paa.google.HEADERS = {'User-Agent': ua.random} # replace the HEADER with a randomised HEADER from fake_useragent
questions = paa.get_related_questions(query, 14)

paa.google.HEADERS = {'User-Agent': ua.random} # rep

from multiprocessing import Process, freeze_support
import undetected_chromedriver as uc

# Python Libraries
import time

chroptions = uc.ChromeOptions()

chroptions.add_argument('--no-first-run enable_console_log = True')
# driver = uc.Ch

class MembershipCardFilter(django_filters.FilterSet):

    agent= django_filters.ModelChoiceFilter(
        queryset=Agent.objects.none(),
    )

    class Meta:
        model = MembershipCard
        fields = ['agent','agent__subManager']

loc_set = {'https://www.trustpilot.com/review/www.veinclinics.com'}
processed_set = set()
proxies = ['172.241.244.85:29842',
'23.106.16.58:29842',
'23.80.148.127:29842',
]

used_user_agents = []

stdev_time = 2
mean_time = 15

with open('u

pip install requests-html

from requests_html import HTMLSession


session = HTMLSession()
response = session.get("https://finance.yahoo.com/")
if response.status_code == 200:
    stock_quote_response = session.get(

pip install scrapy_proxies

# Retry many times since proxies often fail
RETRY_TIMES = 10
# Retry on most error codes since proxies fail for different reasons
RETRY_HTTP_CODES = [500, 503, 504, 400, 403, 404, 408]

D

class MyPipeline:
    def __init__(self):
        # variable that keeps track of the total number of items yielded
        self.total_count = 0
        self.data = []

    def process_item(self, item, spider):
        self.data.append(item

price_kindle = response.css("div[./a[contains(text(),'Kindle')]]")

price_kindle = response.xpath("div[./a[contains(text(),'Kindle')]]")

    price_kindle = response.css("div[./a[contains(tex