Proxy IP Bulk Data Processing: Proxy Bulk Data Processing Techniques

Proxy IP batch processing? First, you need to know what you're doing.

The most important thing that you should do is to get your IP blocked! This time we have to use proxy IP batch operation. To give a real example, there is an e-commerce price comparison team, every day to sweep 100,000 pieces of commodity data. You can use the local IP to do it yourself. In less than two hours will be blocked. This is the time to useDynamic residential agent pool rotation, spreading the requests over different IPs.

There's a wonderful thing about ipipgo's dynamic residential proxies, theirAPI can spit out new IPs in real timeThe following is an example of how to do this. For example, write an automatic switching script in Python and change the IP every 50 requests. this is not easy to trigger the wind control, but also to maintain the collection speed. Their residential proxies are real home broadband IPs, much more reliable than server room IPs.

The three axes of batch processing: chunking, rotation, and job preservation

Let's start with chunked processing. Don't put your eggs in one basket, break the data into smaller portions and process them simultaneously with different IPs. Let's say 100,000 pieces of data are to be processed:

import concurrent.futures
from ipipgo_client import ProxyPool hypothetical SDK

proxy_pool = ProxyPool(api_key="your_key")
def process_chunk(chunk).
    proxy = proxy_pool.get_proxy(type='dynamic')
     Here's the specific processing logic
    return results

chunks = split_data(10000) split into 10 parts
with concurrent.futures.ThreadPoolExecutor() as executor: results = list(executor.map(processor))
    ThreadPoolExecutor() as executor: results = list(executor.map(process_chunk, chunks))

Plus the rotation strategy. ipipgo's proxy pooling supportAutomatic switching by count/timeIt is recommended to set up double insurance: forced IP change every 100 data processing or every minute. It is recommended to set up double insurance: every 100 data processed or mandatory IP change every 5 minutes. their enterprise version of dynamic proxy also supportssession hold, suitable for scenarios that require a login state.

Guide to avoiding pitfalls: don't step on these mines

Three common mistakes newbies make:

Focusing on the authentication session. ipipgo's proxy comes with aConnectivity Detection Interface, suggesting a pre-check in the code:

def check_proxy(proxy).
    try.
        requests.get('http://check.ipipgo.com', proxies=proxy, timeout=3)
        return True
    except: requests.get(''), proxies=proxy, timeout=3)
        return False

QA Session: Practical Frequently Asked Questions

Q: What should I do if the agent suddenly fails all the time?
A: Check the account balance first, then use ipipgo'sEmergency switching functionCut to alternate IP pool. Their tech customer service responds pretty quickly and can handle it within 5 minutes on weekdays.

Q: What about slow processing?
A: Try theirTK line agentThe speed of cross-border transmission has been optimized. There is a friend who does overseas comparison real test, the delay from 800ms down to about 200ms.

Q: What if I need a fixed IP?
A: directly on the static residential agent, although more expensive (35 dollars / IP / month) but good stability. Suitable for scenes that require whitelisting, such as certain payment interfaces must be bound to a fixed IP.

There is a way to choose a package

ipipgo's package selection looks at three metrics:

• Data volume size: Dynamic Standard for Small Scale Use ($7.67/GB)
• concurrency requirement: High Concurrency Select Enterprise Edition Dynamic ($9.47/GB)
• Business Type: Static homes for long term stable connections

There's a client doing social media monitoring that runs 200,000 API requests a day. They use the enterprise version of the dynamic proxy + automatic expansion and contraction strategy, the monthly cost control in about 2,000 dollars, cheaper than half of the self-built proxy pool.

Let's get real.

Proxy IP batch processing is, in the end, just eight words:Risk diversification and dynamic adjustment. Don't think about what to find a universal program, according to the business characteristics of the parameters is the king. For example, to do price monitoring, focusing on real-time, it is necessary to sacrifice some cost with low latency agent; do content aggregation, can accept a little slower, but must be stable.

Lastly, I would like to remind you that a lot of proxy service providers on the market now play word games. What is said to be millions of IP pools, the actual availability of less than 30%. ipipgo's proxy pool I have measured, the peak availability of 85% or more, especially theircross-border rail lineIt is indeed powerful and can be focused on by the old iron who does overseas business.