
First, why use proxy IP to engage in JSON parsing?
Brothers engaged in crawling have encountered this situation: the target site suddenly dumped a 429 error code to you, or return some messy fake data. If you use ipipgo's proxy IP pool at this time, it's like installing an IP pool for your program.Automatic Face Changing Mask, you can ask for data with a new identity for each request.
To give a real case: last year there is an e-commerce price comparison brother, with their own servers directly grab a platform price data, the result is less than half an hour IP was sealed to death. Later changed to ipipgo rotating proxy program, ran for three days without a moth.
import requests
from ipipgo_proxy import get_proxy This is the hypothetical official SDK for ipipgo_.
def fetch_json(url):
proxies = {
"http": get_proxy(),
"https": get_proxy()
}
resp = requests.get(url, proxies=proxies, timeout=10)
return resp.json() if resp.status_code == 200 else None
Second, the proxy IP configuration of the three pits
Don't look at the agent to use simple, the actual operation of these pits step in one will be enough for you to drink a pot:
| pothole | symptomatic | cure |
|---|---|---|
| Proxy lapses not processed | The program is suddenly stuck and won't move | Add a retry mechanism. |
| IP switching too often | Recognized as abnormal traffic | Control switching frequency |
| SSL authentication is not handled. | HTTPS requests report errors | Turn off certificate validation |
It's recommended to use ipipgo's smart scheduling service, their API takes care of this shit automatically. For example, theirlong connection mode, a single IP can be used for a full 30 minutes before switching, much more stable than manual switching.
Third, the actual battle in the tawdry operation
Here is a masterpiece: using proxy IP with request interval jitter. For example, the normal access interval is 3 seconds, suddenly a certain time to wait 8 seconds and then request. This trick against anti-climbing mechanism is particularly effective, the actual test can reduce the ban rate of 70% or more.
import random
import time
def smart_request(url): proxy = ipipgo.get_proxy()
proxy = ipipgo.get_proxy()
time.sleep(3 + random.randint(0,5)) Randomly wait 3-8 seconds.
Omit specific request code here...
If you're using ipipgo.Business Scenario PresetsThe function is much less trouble, they have optimization solutions for different scenarios such as e-commerce, social, search engine, etc., much stronger than blindly adjusting the reference by yourself.
IV. Frequently Asked Questions QA
Q: What should I do if my proxy IP is not working?
A: It is recommended to use ipipgo's survival detection service, their IP pool automatically eliminates failed nodes every 5 minutes, which is more reliable than writing your own detection scripts.
Q: What should I do if I encounter encoding problems when parsing JSON?
A: First check the response header Content-Type, if it is application/json direct parsing. You can try resp.content.decode('unicode_escape') if you encounter garbled code.
Q: How can I tell if a proxy is in effect?
A: Print the X-Forwarded-For field in the resp.request.headers in the code, and you can see the proxy IP currently in use.
V. Why ipipgo?
There are a few points in their house that they can really hit:
1. Exclusive IP pools are not watered down, unlike some platforms that use shared IPs to fill up the numbers.
2. Response speed can be measured to less than 80ms, similar to local requests.
3. there is a 24-hour online technical customer service, the last time I asked a question at two o'clock in the middle of the night, I actually answered in seconds!
Especially for projects that do long-term data collection, use hismonthly subscriptionCan save a lot of silver. Recently it seems to be doing activities, new users to send 10G traffic experience, you can first whoring wave to try the effect.

