Proxy IP e-commerce crawler program: breaking through the anti-crawl Amazon / Shopee data collection

Proxy IP e-commerce crawler practical guide

Do e-commerce data collection old iron know, Amazon and Shopee's anti-climbing mechanism than the subway security is still strict. Last week a beauty category buddies spit out, they wrote a crawler script just run two days was blocked more than a dozen IP, angry almost smashed the keyboard. Today we will nag how to use proxy IP to break the game, focusing on my test effective ipipgo program.

Why is your crawler always blocked?

The platform's anti-crawl system stares at three main features:Request frequency, IP traces, device fingerprintsThe same IP will visit 500 consecutive pages of product details in 1 hour. As a chestnut, the same IP in 1 hour to visit 500 consecutive product details page, this operation is like wearing fluorescent clothing to play escape room - minutes exposed.

Last year we tested, with ordinary server room IP to catch Amazon data, the average survival time is less than 15 minutes. Later changed to dynamic residential IP, survival time directly flipped 20 times. Here we must praise ipipgo's dynamic residential agent, their IP pool is bottomless, 90 million + real home IP random switching, and personally test the continuous collection of 6 hours have not triggered the wind control.

Gold Partner Configuration Program

This combo is recommended:

 Python Example
import requests
from itertools import cycle

proxies = [
    "http://user:pass@gateway.ipipgo-rotate.com:3000", "http://user:pass@gateway.ipipgo-rotate.com:3000", "http://user:pass@gateway.ipipgo-rotate.com:3000", "http://user:pass@gateway.ipipgo-rotate.com:3000
    "http://user:pass@gateway.ipipgo-rotate.com:3001"
]
proxy_pool = cycle(proxies)

for page in range(1,100): current_proxy = next(proxy_pool)
    current_proxy = next(proxy_pool)
    current_proxy = next(proxy_pool)
        response = requests.get(url, proxies={"http": current_proxy
            proxies={"http": current_proxy},
            headers=mimic real browser headers, timeout=10
            timeout=10
        )
         Processing data logic...
    except Exception as e.
        print(f "IP {current_proxy} failed, switching automatically")

Note three key points:
1. Random IP switching per request (ipipgo supports automatic rotation)
2. Setting a random delay of 3-8 seconds between requests
3. Match the real browser fingerprint header

Special Scenario Attack Tips

Don't panic when you get a CAPTCHA pop-up, try these wildcards:
- With ipipgo.Static Residential IPBind fixed devices to simulate real user behavior trajectories
- Capture times follow peak traffic at the target site (e.g., 10 a.m. EST)
- Automatically switch city-level location IPs when encountering graphical CAPTCHA (ipipgo supports city-level pinpointing)

QA First Aid Kit

Q: What should I do if my proxy IP is slow?
A: Go with ipipgo'scross-border rail lineWith the package, the measured latency can be suppressed to less than 2ms. Don't use free proxies, it's slower than a donkey cart.

Q: What should I do if my IP is blocked halfway through the collection?
A: Add an abnormal retry mechanism in the code, ipipgo's Enterprise Edition package can cut 300+ IPs per minute, sealing? There is no such thing!

Q: How do I get around the need to collect data from multiple countries?
A: Use them directlyGlobal dynamic residential poolIt supports 220+ countries and regions to switch. The last time to help customers catch six countries in Southeast Asia data, configure 5 geolocation parameters to get it done.

Guide to avoiding the pit

Five common mistakes newbies make:
1. Setting the request interval to a fixed value (instantly recognizable by the platform)
2. Forgot to clean up cookies (different IPs with the same cookie is tantamount to self-destruction)
3. Use only head agents without changing terminals (remember to randomize device fingerprints)
4. Ignoring SSL fingerprinting (SOCKS5 protocol from ipipgo is recommended)
5. Collection strategy is too straight (do not always climb in accordance with the order of product ID, appropriate mixing point random jump)

Finally say a real case: a 3C seller with our program, data collection efficiency from 20,000 per day to 200,000, the key is that they use ipipgo'sSERP APIDirectly connected to the BI system, now engaged in competitor analysis like playing. Remember, choose the right proxy IP service provider, crawling this matter will be half successful.