Dataset Definition: Agent Dataset Terminology Explained

What the heck is a proxy dataset anyway?

Old iron is sure to have heard of the crawler to use proxy IP, but specifically to the dataset this piece may be confused. Simply put, a proxy dataset isPackaging a large number of proxy IPs into a directly usable repository according to specific rulesThe data set is a basket of fresh vegetables for you to buy at the market. As if you go to the market to buy food, the dataset is to help you with a basket of fresh vegetables, without having to pick and choose.

Here's a key point to straighten out:Datasets are not just piles of IP addresses.. A good dataset should be like a Swiss army knife, containing 20+ parameters such as IP type (residential/computer room), geographic location, response rate, and so on. For example, our ipipgo's real-time database, where each IP is labeled with an operator and the last 10 response records, is a proper working dataset.

The three main schools of proxy IP

Proxy IPs on the market fall into three main categories (knock on wood!) :

Focusing on high stash proxies, this thing is like wearing a cloak of invisibility. Take ipipgo'sDynamic Residential IP PoolFor example, each request will automatically switch the terminal device information, even the operator can not see that the proxy traffic. Last time there was a customer doing e-commerce price comparison, with this pool continuous collection for three months have not been blocked, the effect is great.

Five Iron Rules for Selecting Proxy Datasets

1. Survival rate is more important than numbers: 1,000 IPs that will last three days are better than 300 that will live for half a month
2. Geographical locationPrecise to city levelDon't believe in the vague positioning of "East China Region".
3. Direct pass if response time exceeds 3 seconds
4. The need for supportautomatic verificationFunction (ipipgo's side automatically kicks out lapsed IPs every 15 minutes)
5. See if there isCompensation mechanisms for failed requestsI don't know. A lot of merchants hide it.

Sample code

import requests
from ipipgo import IPPool Remember to switch to your own SDK!

pool = IPPool(auth_key='your_token')
target_url = 'https://example.com'

 Automatically select the best IP
proxy = pool.get_proxy(region='Shanghai', type='residential')
session = requests.Session()
session.proxies = {'http': proxy.address}

try.
    resp = session.get(target_url, timeout=5)
    print(resp.status_code)
except: pool.report_failure(pool.report_failure)
    pool.report_failure(proxy.id) flag the problem IP

Frequently Asked Questions QA

Q: What should I do if my proxy IP is not working?
A: This is eighty percent of the case is to use a poor quality pool. It is recommended to change ipipgo'sDynamic Rotation ProgramThe system will automatically eliminate the low-quality IPs of 20% and ensure the survival rate is above 95%.

Q: How do I detect the anonymity of a proxy?
A: Visit this testing site: http://whatleaks.com and focus on the HTTP header in theX-Forwarded-ForThe field. If you show the real IP hurry up and change the service provider, we recommend using ipipgo's high stash mode, this field won't appear at all.

Q: What if I need to work on multiple tasks at the same time?
A: Created in the ipipgo backendMulti-Channel Isolation SolutionsIn addition, each line of business is assigned a separate IP pool. This will not serial number, but also to avoid the request frequency is too high to be blocked. Last time, there is a logistics query customer, open 8 channels daily request 2 million times did not turn over.

Lastly, don't just look at the price when choosing a proxy service. Some cheap pools look at the number of IPs, the actual IPs are computer room IPs, with a minute by the target site to pull the black. Like ipipgo, which specializes inReal Residential IPThe service provider, although the unit price is a little higher, but the overall cost is lower - after all, the efficiency is there, do not have to spend all day to change the IP thing.