Python Selenium Web Crawl: Browser Automation

Playing web crawling with Python these days How to get around the IP blocking pit?

The most annoying thing about data crawling is to encounter the site anti-climbing, today just write a good script, tomorrow the IP will be blacklisted. This time we have to rely onproxy IPto play guerrilla warfare, just like playing a game of chicken to change clothes to hide in the bushes, change the IP address and then wave.

Three Essential Browser Automation Axes

To do automated crawling with Selenium, these three pieces of equipment are indispensable:

 Basic equipment list
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import time

chrome_options = Options()
chrome_options.add_argument("--headless") headless mode saves resources
chrome_options.add_argument("--disable-gpu")

Putting a proxy vest on your browser

The point is! How to make your browser change IP automatically?Here is the unique secret of the ipipgo family:

 Key code for proxy settings
proxy = "123.123.123.123:8888" here fill in the tunnel proxy address provided by ipipgo
chrome_options.add_argument(f'--proxy-server=http://{proxy}')

Be careful to useHigh Stash AgentsThe tunnel proxy of ipipgo comes with IP rotation function, which is ten times less troublesome than switching manually.

Practical case: an e-commerce price monitoring

As a chestnut, monitor the price change of an item:

def check_price():
    driver = webdriver.Chrome(options=chrome_options)
    driver.get("")
        driver.get("https://target-site.com/product123")
        price = driver.find_element('xpath', '//span[@class="price"]').text
        print(f "Current price: {price}")
    except Exception as e.
        print("Catch error:", e)
    finally: driver.quit()
        driver.quit()

 Running every hour
while True: check_price()
    check_price()
    time.sleep(3600)

Old Driver's Guide to Avoiding Pitfalls

Common rollover sites:

A must-see QA session for the little guy

Q: How to choose a proxy IP?
A: Personally, I recommend using ipipgo'sDynamic Residential Agents, their IP pool is large enough to have fresh IPs available at all times, like a hot pot restaurant stocking up on food.

Q: What should I do if the code runs and reports errors?
A: eighty percent is the agent is not stable, it is recommended to add a retry mechanism in the code, like playing the game resurrection point respawn, ipipgo client comes with disconnect and reconnect function.

Q: Do I need to maintain my own IP pool?
A: With ipipgo's API you can directly fetch available IPs, which saves you time and effort compared to raising your own IP pool, just like ordering takeout is more convenient than cooking your own food for a reason.

Upgrade Play: IP Rotation Strategy

Higher level players can play like this:

import random

ip_list = ["ip1:port", "ip2:port", "ip3:port"] Pool of IPs from ipipgo backend

def get_random_ip():: return random.choice(ip_choice(ip))
    return random.choice(ip_list)

 Change IPs per request
chrome_options.add_argument(f'--proxy-server={get_random_ip()}')

Remember to set up automatic IP pool refreshing in the ipipgo background, so that the IP is like a leek cut a crop of long crop, simply can not be used up.

Say something from the heart.

Engaging in automated crawling is like fighting a guerrilla war, with a focus oncamouflage technologyrespond in singingstrategy of prolonged waripipgo's intelligent scheduling system automatically matches the best IPs, which saves you a lot of heartache compared to tossing it yourself. Their technical support response speed is also fast, the last time I raised a work order at two o'clock in the middle of the night, ten minutes to give the solution, this service is really no words.

Lastly, I would like to remind you that you have to follow the rules of the website to do data crawling, so don't crash other people's servers. Reasonable use of proxy IP, both to protect themselves and respect each other, this is the right way to sustainable development.