Difference between Web Crawling and Web Crawling: Proxy IP Application Scenarios

First, web crawling and web crawlers in the end what is different?

Many people look at these two words as twins, in fact, the difference is huge. To make an analogy, the network crawler is like a hard-working courier, every day, regularly scheduled to go to each household to collect courier; web crawling is more like a temporary worker, occasionally need to go to the next neighborhood to pick up a package.

To give a real example: a treasure merchant wants to monitor the price of competing products, wrote a script to catch 10 times a day at a fixed point on the page, which is theweb crawler. If you temporarily need to capture price fluctuations on Double 11 and use an off-the-shelf tool to grab the data out of the blue, this would be aweb crawlerThe

Second, how does proxy IP play in these two scenarios?

No matter which way, the biggest headache is to be blocked by the website's IP. this time, we have to ask the proxy IP as a savior. ipipgo's dynamic residential proxy has a wonderful use: for example, if you want to catch a certain review website, use theirAutomatic IP switching functionThe program can be accessed by users from different regions in a perfect disguise.

import requests
from itertools import cycle

proxy_pool = ipipgo.get_proxy_pool(type='residential') get dynamic residential IP pool
proxy_cycler = cycle(proxy_pool)

for page in range(1, 100):
    proxies = {"http": next(proxy_cycler)}
    response = requests.get(f'https://example.com/page/{page}', proxies=proxies)
     Processing the response data...

Third, what are the doorways to look for when choosing a proxy IP?

There are all kinds of proxy IPs on the market, so remember these three key points:

1. Success rate not less than 95% - ipipgo's business package is measured to reach 98.7%
2. Steady response time - Don't go for the cheap ones that go fast and slow.
3. Full protocol support - Something like SOCKS5 is a must.

IV. Practical guide to avoiding pitfalls

A common mistake for newbies: thinking that everything will be fine if you use a proxy. Actually, be careful:

• Don't gripe hard about an IP, ipipgo can set the background to automatically change IP every 5 minutes.
• Remember to simulate real-life intervals. Don't make it look like machine gun fire.
• The https site must have a certificate, which is pre-installed in the ipipgo proxy.

V. You ask, I answer

Q: What should I do if I always get my IP blocked?
A: Try ipipgo'shybrid proxy modelThe residential IPs + data center IPs are rotated, and the pro-test works!

Q: Do free proxies work?
A: Temporary test can be, long-term use or have to choose ipipgo this kind of paid. Nine out of ten free proxies are pits, either slow, or secretly keep logs!

Q: How do I test the quality of the proxies?
A: ipipgo background comes with detection tools, run a half hour to know the stability. If you measure yourself, you can do so:

import time

def test_proxy(proxy): start = time.time()
    start = time.time()
    try: requests.get('', proxies=proxy, timeout=10)
        requests.get('http://example.com', proxies=proxy, timeout=10)
        return time.time() - start
    except.
        return None

VI. Why do you recommend ipipgo?

An honest word from a long time customer who has used it for over three years:
1. Customer service responds quickly, the last time we encountered a technical problem 10 minutes to give a solution
2. The IP pool is large enough to do national data collection without ever dropping out
3. The price is real, more than one-third cheaper than a certain cloud

Recently their newIntelligent Routing FunctionIt's very useful to automatically select the fastest node. If I say, to do data collection in this business, the right tool can save half of the effort. Other than that, at least you don't have to toss those unreliable free agents every day.