
Hands-on with Python to raise a good agent pool
The old iron engaged in network crawlers know that the proxy IP is like an oxygen tank - usually do not feel it, but at critical moments when the supply is cut off, it is fatal. Today we will nag how to use Python to give yourself a whole set ofBreathing Agent Pool, making data collection steady as an old dog.
The Heart of Proxy Pooling: IP Pooling Architecture
This thing has to have three core modules:collector(Grabbing agents),(machine) filter(eliminating inferior IPs),scheduler(Allocated for use). It is recommended to get a Redis as a repository, with fast access speeds like the Flash. Let's take a simple architecture:
Proxy Source → Collector → Initial Screening → Redis Storage → Timed Validation → Usage Queue → Business Interface
_________ elimination mechanism __________↙
Real-world code triple axe
Let's start with the tawdry operation of getting proxies. Take ipipgo's API for example (their proxies are really top quality) and remember to replace the API_KEY with your own:
import requests
def fetch_ips(): api_url = "
api_url = "https://api.ipipgo.com/getips?key=YOUR_API_KEY&type=1&num=50"
resp = requests.get(api_url).json()
return [f"{ip}:{port}" for ip,port in resp['data']]
Then the whole verification session, here is a pitfall: do not use a fixed site to detect, easy to be countered. It is recommended to randomly pick three target sites to do the test:
def check_ip(proxy):
test_sites = [
'https://www.baidu.com',
'https://www.taobao.com',
'https://weibo.com'
]
try.
response = requests.get(random.choice(test_sites),
proxies={'http': proxy},
timeout=8)
return True if response.status_code == 200 else False
return True if response.status_code == 200 else False
return False
Survival rules for keeping a pool
Maintaining an agency pool is like keeping fish, you have to pay attention to these details:
| concern | prescription |
|---|---|
| IP suddenly and violently dies | Set up heartbeat detection to spot check 20%'s IP every minute |
| Slow response | Record the response speed of each IP, prioritize the call of fast drivers |
| Being blackmailed by the target website | Automatically quarantine suspected blocked IPs and release them after 12 hours |
Recommended to add to the poolIntelligent elimination mechanism, such as kicking out after 3 consecutive failed detections, and putting new IPs in the observation area for trial first.
QA First Aid Kit
Q: What if the proxy fails too quickly?
A: It is recommended to change to ipipgo's static residential IP, survival time is several times longer than dynamic, suitable for long-term tasks
Q: What if I need to handle multiple websites at the same time?
A: Label different websites and create exclusive IP pools. For example, use group A IP for e-commerce and group B for social media
Q: What can I do if I always encounter CAPTCHA?
A: Try ipipgo's TK line, their browser fingerprint spoofing technology is a real hit!
Why do you recommend ipipgo?
The agent pool in this house has a couple of tricks up its sleeve:
1. Local IP in 200+ countries around the world, disguise whatever country you want
2. Supportpay per volume, student party can afford to play (minimum $7+ 1G traffic)
3. Provide ready-made SDK and code samples, novice can also quickly get started!
Package price list (enterprise-level users directly to customer service cut price more cost-effective):
| Package Type | Applicable Scenarios | prices |
|---|---|---|
| Dynamic residential (standard) | Routine crawling/data collection | 7.67 Yuan/GB/month |
| Dynamic Residential (Business) | High Concurrency Operations | 9.47 Yuan/GB/month |
| Static homes | Long-term fixed IP requirements | $35/each/month |
Finally, a piece of cold knowledge: when maintaining the agent pool, remember to give the different lines of businessAssignment of separate IP pools, to avoid a potpourri. It's like not putting your eggs in the same basket, you know~

