Proxy IP to get Python JSON data: Python Proxy IP to get JSON

Hands-on with Python Picking and Plucking JSON Data

Nine out of ten of the data thing, planted in the anti-crawl mechanism. At this timeproxy IPIt is your locksmith, especially when using Python to toss JSON data, without this thing minutes to be pulled by the site black. Let's take ipipgo family proxy service to give a chestnut today, hand in hand to teach you how to play around with this set.

Why do you have to use a proxy IP?

Take a realistic scenario: you wrote a crawler script to catch the price of goods on an e-commerce platform, the first three days well, the fourth day suddenly returned a 403 error. This is a typical IP ban. At this time, if there is a proxy IP pool, like guerrilla warfare, change the armor to continue to work.

import requests

 A dead giveaway for not using proxies
response = requests.get('https://api.example.com/data.json')
print(response.json()) There is a good chance that you will get shut down here.

Real-world tricks: putting a vest on Python

Here's the kicker, we need to put a proxy vest on the requests library. We recommend using ipipgo'sDynamic Residential Agents, their home IP survives for a long time and is suitable for long term battles.

proxies = {
    'http': 'http://username:password@gateway.ipipgo.com:9020',
    'https': 'http://username:password@gateway.ipipgo.com:9020'
}

try.
    response = requests.get('https://api.target.com/data.json', proxies=proxies, timeout=10)
    data = response.json()
    print(data['price'])
except Exception as e.
    print(f "Rollover: {str(e)}")

Guide to avoiding pitfalls: the three major taboos of proxy settings

Advanced Play: Batch Harvesting Data

To engage in high-volume data collection, you have to use a two-pronged approach of multithreading + proxy pooling. ipipgo's API interface can fetch fresh IPs in real time, and with this code template, efficiency takes off straight away:

from concurrent.futures import ThreadPoolExecutor

def fetch_data(url).
     Here we call ipipgo's API to get a new IP.
    fresh_proxy = get_ipipgo_proxy()
    proxies = {'https': fresh_proxy}
     Omitting specific request code...

with ThreadPoolExecutor(max_workers=5) as executor: urls = ['', urls = ['https': fresh_proxy'].
    urls = ['https://api1.com','https://api2.com']
    executor.map(fetch_data, urls)

Frequently Asked Questions QA

Q: What should I do if my proxy IP suddenly fails?
A: Go with ipipgo'sIntelligent Package SwitchingThey have failed to automatically change the IP address of their home to save 70%.

Q：Returned JSON data garbled?
A: It's probably a coding problem, add aresponse.encoding = 'utf-8'try out

Q: How can I tell if a proxy is in effect?
A: Print in coderesponse.request.proxySee if you're using ipipgo's IP.

Heartfelt advice

Don't believe in those free agents, nine out of ten are pits. Like ipipgo professional service providers, although it costs a bit of silver, but it is stable and reliable. Especially when doing business projects, the cost of the agent compared to the risk of being blocked, it is just a drop in the bucket. Recently used his newMixed dialing agent, the real-world test ran for 12 hours straight without dropping the chain, so it does have a couple of tricks up its sleeve.