What is Data Aggregation: Proxy IP in Big Data

What exactly is data aggregation?

To put it bluntly, data aggregation is like a big sweep of the vegetable market before closing. Merchants need to get a clear picture of the prices, stocks and types of vegetables in different stalls so that they can set reasonable prices the next day. In the Internet era, enterprises have to collect product information, user reviews, price fluctuations from various websites, and the process of packaging and organizing these scattered data is data aggregation.

There's a big problem here: a lot of sites have set upLimitations on the number of visits. Just like the supermarket security guards found that people frequently enter and exit the warehouse, directly pull the blacklist. At this time we need proxy IP to be the "cloak of invisibility", so that the data collector wears a different vest to "move goods".

How can a proxy IP solve the collection problem?

Let's take a real scenario: a price comparison website wants to capture the price data of 30 e-commerce platforms. If it only uses its own server IP, it will be blocked in less than half an hour. This time with proxy IP pool rotation, equivalent to each time to send a different courier to pick up the goods, the site simply can not distinguish who is who.

import requests
from ipipgo import get_proxy call ipipgo's SDK

def fetch_data(url):
    proxy = get_proxy(type='https') Automatically fetch latest proxy
    try: response = requests.get(url)
        response = requests.get(url, proxies={"https": proxy}, timeout=10)
        return response.text
    except.
        return get_proxy(new=True) Automatically change to new IP in case of problems

This pseudo-code shows the typical flow of a developer's operations when using the ipipgo service. The focus is onAutomatic IP changerespond in singingException handling, like playing a game of Renewal, to ensure that the collection does not stop swinging.

Three must-have tools for data veterans

Doing data aggregation is like driving a long-haul truck, you have to have all this gear on hand:

In particular.Intelligent speed controlThis function is like installing cruise control on a car. ipipgo's system automatically adjusts the request interval according to the response speed of the target website, which is neither as slow as a snail nor as fast as being kicked off the line.

Five guidelines for avoiding pitfalls in the real world

1. Don't put your eggs in one basket.: Using multiple proxy providers at the same time? Re! It's easy to conflict with different APIs, ipipgo's hybrid packages already include different carrier lines!

2. IP authentication can't be beatThe first thing you need to do is to check the availability of the proxy, just like you need to step on the gas twice to test drive a car. ipipgo provides a real-time testing interface to avoid using "dumb" IPs!

3. There's something to be said for keeping the conversation going.: Some sites have to be logged in before they can be captured, remember to assign fixed IPs to the same session, which ipipgo's session hold function can handle automatically!

4. Flow camouflage should be natural: Remember to bring common browser identifiers in the Header, don't use Python's default User-Agent, ipipgo's smart terminal emulation takes care of these details automatically!

5. Don't be lazy about exception handling

QA time: what you might want to ask