
Cloud function crawler can't handle dynamic IP?
Recently, a lot of data collection of old iron and I complained, with AWS Lambda to do the crawler is always the target site blocked IP. after all, the cloud function is a new environment every time you start, build their own proxy pool maintenance costs and high. At this time it is necessary to change the way of thinking -Soldering dynamic proxy IP services directly into the workflow of cloud functionsThe
The traditional approach is either to use a fixed IP (blocked in minutes) or to make your own IP pool (maintenance be damned). Nowadays it is popular toReady-to-Use Agent Program, especially suitable for Lambda this kind of billing by the second of the stateless architecture. For example, with ipipgo's Dynamic Residential Proxy, every time the function executes, it automatically changes to a new IP, and you don't even have to write your own retry mechanism.
Three tricks to make the cloud function crawler "stealth"
The first trick: dynamic IP injection
During the initialization phase of the function, proxy addresses are obtained in real time via the ipipgo API. Be careful to pick theirshort-lived IP package(the 5-minute auto-expiration kind), which ensures that a single task is completed and avoids IP re-use.
Tip #2: Request Fingerprint Confusion
In conjunction with proxy IP replacement, randomize adjustments each time:
| parameters | Camouflage methods |
|---|---|
| User-Agent | Use the device fingerprint library provided by ipipgo |
| request interval | Randomized delay 0.5-3 seconds |
| HTTPS fingerprinting | Turn on their TLS obfuscation mode |
Tip #3: Distributed Fault Tolerance
Set the maximum number of retries for Lambda to 3 when an IP block is detected:
1. Destroy the current function instance immediately
2. Triggering new function calls
3. New instances automatically get new proxy IPs
With this combo, the success rate can be mentioned above 92%.
ipipgo hands-on access guide
Take Python for example, and match the configuration in Lambda like this:
import requests
from ipipgo import get_proxy this is their official SDK
def handler(event, context): proxy = get_proxy(type='dynamic', region='us')
proxy = get_proxy(type='dynamic', region='us')
The point is: you have to set the timeout to disconnect automatically
session = requests.Session()
session.proxies = {"https": proxy}
resp = session.get('Target site', timeout=(3.1, 6))
return resp.text
pay attention toClosing the Connection Pool(to avoid IP residue), it is recommended to create a new Session for each request. ipipgo's SDK has built-in automatic authentication, so you don't have to handle the authentication string yourself.
Frequently Asked Questions QA
Q:How does Cloud Function store proxy IP configuration?
A: Never put environment variables! It is recommended to use ipipgo's Instant API to get them, they are <200ms responsive and fully catch up with function cold starts.
Q: What should I do if I encounter a CAPTCHA?
A: ipipgo's enterprise version of the package with CAPTCHA blacklist function, will automatically skip the nodes with CAPTCHA, than using the coding platform to save 60% cost.
Q: Not enough IPs when function concurrency is high?
A: Turn it on at their consoleburst expansion modeIt supports the generation of up to 500 new IPs per second, which is enough to cope with traffic spikes.
Brothers who engage in cloud function crawler, there is really no need to toss their own IP pool. Service providers that specialize in dynamic proxies like ipipgo.You can get 5,000 valid requests for $1.It's cheaper than the self-build program, not to mention the key to saving money. Recently, they also have a new user free trial activities, receive a test quota first run up and then say.

