Crawler Company|Big Data Collection and Anti-Crawler Cracking Technology Analysis

How Crawler Companies Crack Anti-Crawl Restrictions with Proxy IPs?

Many crawler teams have encountered this situation: just crawl a few hundred pieces of data by the target site blocked IP. this time the proxy IP becomes a key tool. Takeipipgoof residential proxies, for example, can effectively reduce the risk of being identified as machine traffic by simulating a real home network environment.

In practice, it is recommended to useDynamic IP Rotation Policy: Set up automatic IP address switching every 5-10 requests. ipipgo provides a dynamic residential IP pool that supports automatic on-demand replacement, and 90 million+ real IP resources ensure that every request looks like it's coming from a different home network.

Five screening criteria for proxy IP quality

The market agent service is uneven, quality agent must have:
1. Real equipment network environment (not server room IP)
2. Coverage of local carrier IP segments in the target area
3. Millisecond response time
4. Multi-protocol support (HTTP/HTTPS/SOCKS5)
5. Perfect IP blacklist monitoring mechanism

ipipgoThe Global Residential IP Network fulfills all five of these points simultaneously, particularly its uniqueCarrier-grade IP update systemIt monitors IP availability in each region in real time and automatically eliminates IP segments flagged by websites.

Practical combat: using proxy IP to build collection system

As an example, a Python crawler integrates proxy services through the requests library:

import requests
from itertools import cycle

proxy_pool = cycle(ipipgo.get_proxy_list()) get real-time proxy list

def make_request(url): proxy = next(ipipgo.get_proxy_list())
    proxy = next(proxy_pool)
    try.
        response = requests.get(url,
            proxies={"http": proxy, "https": proxy}, timeout=10)
            timeout=10)
        return response.text
    except.
        return make_request(url) Automatic retry mechanism

Take care to set up a reasonabletimeout retry mechanismrespond in singingRequest interval control, to avoid triggering the site's wind control rules.

Common anti-climbing tactics and cracking program

Case 1: Requesting frequency limits
An e-commerce platform is limited to 50 visits per minute
Solution: Use ipipgo'sdistributed IP poolThe request will be distributed to 200+ different regional IPs.

Case 2: User behavior analysis
Web site recognizes crawlers by mouse tracks
Solution: MatchingBrowser Fingerprint EmulationTechnology, used in conjunction with residential agents

Case 3: Captcha pop-ups
High-frequency access triggers graphical validation
Solution: SettingIP Cooling CycleThe same IP address can be used at intervals of 6 hours.

QA: Proxy IP use of high-frequency problems

Q: How to choose between dynamic and static IP?
A: Dynamic IPs are suitable for high-frequency rotation scenarios (e.g., price comparison of goods), and static IPs are suitable for scenarios that require session maintenance (e.g., account login).

Q: What should I do if my IP is blocked?
A: Immediately stop using the IP, submit anomaly feedback in the ipipgo console, the system will update the IP pool of the region within 15 minutes

Q: How can I verify if the agent is in effect?
A: Use the curl command to test:
curl --proxy http://username:password@ip:port https://api.ipipgo.com/checkip

Why do professional teams choose residential agents?

Residential agents have three core advantages over data center agents:
1. IP address from a real home broadband, with behavioral characteristics identical to those of regular users
2. Can be accurately located to the city level IP address (ipipgo supports 240+ countries and regions worldwide)
3. Support for higher concurrent requests without triggering security mechanisms

After a financial data company used ipipgo, the success rate of data collection increased from 37% to 91%, and the effective running time was extended from an average of 4 hours to 22 hours per day.