IPIPGO ip proxy Crawler site definition: the principle of crawler sites and proxy programs

Crawler site definition: the principle of crawler sites and proxy programs

What exactly is a crawler site? To put it bluntly, a crawler is a tool that allows a program to automatically grab data from web pages. It's like having a robot skulking around the Internet 24 hours a day, copying down useful content and storing it in a database. For e-commerce price comparison, public opinion monitoring, search engine and other jobs, you have to rely on it to eat...

Crawler site definition: the principle of crawler sites and proxy programs

What exactly is a crawler site?

To put it bluntly, a crawler site is a tool that allows a program to automatically grab web page data. It is like having a robot skulking around the Internet 24 hours a day, copying down the useful content when it sees it and storing it in the database. Dry e-commerce price comparison, public opinion monitoring, search engine these jobs, have to rely on it to eat.

But here's the problem - sites are learning the ropes now and catching crawlers in the act. The toughest trick of all is toblock IP addressIf you're running a program and you're happy, then suddenly you're blacklisted. This is the time to bring out the protagonist of our today: proxy IP.

Picking apart the workflow of a crawler

Three steps to normal crawling:
1. Targeting (finding pages to catch)
2. Data capture (fishing in the net)
3. Storage processing (categorization and warehousing)


import requests
from bs4 import BeautifulSoup

 For example, to catch the price of a product
url = 'https://example.com/product'
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
price = soup.find('span', class_='price').text

It looks easy, right? But the actual run up nine times out of ten will hit a wall. Most of the sites found that the same IP frequent visits, directly to you pinch line. This time you have to give the crawler to wear a "vest", that is, using a proxy IP to disguise their identity.

The three axes of website anti-crawl

The anti-climbing mechanism now plays these three main tricks:
1. IP blocking:If you catch a suspicious IP, block it to death.
2. Captcha bombing:Suddenly popping CAPTCHA interrupts collection
3. Request frequency monitoring:Counting your requests per second.

The focus here is on IP blocking. Ordinary home broadband IP is fixed, the website is a catch. Proxy IP is like putting a Sichuan opera mask on the crawler, changing its face every time it visits, and the anti-climbing system is directly confused.

Proxy IP Breakthrough Program

The principle of proxy IP operation is actually quite simple:
Your request → Proxy server → Target site
The website sees the IP of the proxy server and is completely unaware of the real source

Recommended hereipipgo's dynamic IP pooling service, their family specializes in high anonymous agents, several advantages:
- Node coverage in 200+ cities nationwide
- Automatic IP switching without manual operation
- Support HTTPS/Socks5 dual protocols
- Success rate maintained above 99% for a long period of time


 Sample code for accessing ipipgo
import requests

proxies = {
    'http': 'http://username:password@gateway.ipipgo.com:9020',
    'https': 'http://username:password@gateway.ipipgo.com:9020'
}

response = requests.get('https://target-site.com', proxies=proxies)

The Doorway to Picking a Proxy Service Provider

consideration Shoddy Agents ipipgo program
IP purity Easily blocked when shared by multiple people exclusive IP pool
responsiveness Frequent lagging BGP Intelligent Routing
Protocol Support HTTP only Full protocol compatibility
price strategy Lots of hidden charges Transparent billing of usage

In particular.Highly anonymous agentsThe importance of this. Some cheap proxies will leak the X-Forwarded-For header information, which is equivalent to taking off the vest and letting people fight. ipipgo's proxies completely hide the real IP, and even the web server logs can't find traces.

Practical: e-commerce price monitoring

Recently helped a client do the project, using ipipgo's dynamic IP to realize the 7 × 24 hour price comparison:
1. Objective Analysis:An e-commerce platform updates prices every 5 minutes
2. Agent Configuration:Automatic change of exit IP per request
3. Exception handling:Automatically switch IP to retry when encountering CAPTCHA
4. Data storage:Automatic flagging review of anomalous data


 Core logic for price monitoring
def price_monitor().
    def price_monitor(): while True.
        try: proxy = get_ipipgo_proxy()
            proxy = get_ipipgo_proxy() get new IP from ipipgo
            data = fetch_price(proxy)
            save_to_database(data)
            time.sleep(300)
        except CaptchaException: rotate_proxy()
            rotate_proxy() trigger IP replacement

Frequently Asked Questions

Q: Is it legal to use a proxy IP?
A: As long as you don't catch sensitive data, it's fine, and we recommend using it within the scope of the Terms of Service. ipipgo all IPs come from regular server rooms!

Q: How do I test the quality of the proxies?
A: ipipgo provides free test packages, it is recommended to take the test IP to run for half an hour first to see the success rate and response latency

Q: What should I do if my IP is blocked?
A: Immediately submit the abnormal IP in the ipipgo console, the system will automatically quarantine and replenish the pool with new IPs

Q: What can I do if the proxy affects the crawling speed?
A: choose ipipgo BGP line, measured latency is lower than the ordinary agent 40%, also supports concurrent request acceleration

Lastly, don't just look at the price when choosing a proxy service. Like ipipgo provide complete API documentation and technical support, out of the problem can quickly respond, this is really save money. Next time your crawler is hunted down by a website, remember to give it a good "vest" before going out.

This article was originally published or organized by ipipgo.https://www.ipipgo.com/en-us/ipdaili/38441.html

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