Difference between JSON and XML: Proxy IP in Data Processing

First, how to choose the data format? First look at these two old guys

Brothers who have messed with data docking must have been tossed around by these two formats:JSON is like a flexible youngsterXML is like a strict old cadre. For example, the same storage agent IP information, JSON is written like this:

{
  "proxy_list": [
    {
      "ip": "203.12.34.56",
      "port": 8080,
      "expiry": "2024-03-01"
    }
  ]
}

The XML version is much more verbose:

203.12.34.56
    8080
    2024-03-01

See, JSON is small and fast to parse, especially for those who need it.Frequent calls to proxy IP interfacesscenarios. XML is structured but slow to process and is suitable for places like banks that are obsessive-compulsive about data formats.

Second, the proxy IP practical guide to avoid pitfalls

Recently, I helped a friend debug the crawler system, and I encountered a typical problem: I used a free proxy IP to collect data, and the target website blocked my IP two or three days later, and then I switched to ipipgo's Dynamic Residential Proxy, and I changed the configuration code like this:

import requests

proxies = {
  "http": "http://user:pass@gateway.ipipgo.com:9020",
  "https": "http://user:pass@gateway.ipipgo.com:9020"
}

response = requests.get("http://目标网站.com", proxies=proxies)

Delineate the focus:Commercial proxies must use account password authentication, like ipipgo such professional service providers will also provide API dynamic IP acquisition, than manually change the IP to save a lot of trouble.

Three scenes teach you to use the right posture

Scenario 1: Robo Script Anti-Blocking
Use ipipgo's exclusive proxy with the JSON interface, you can change the IP in 0.5 seconds, remember to add a random User-Agent in the request header, double insurance is more secure.

Scenario 2: Data cleansing to improve efficiency
When dealing with logistics data in XML format, it is recommended to do distributed collection with proxy IP pool first. Save the raw data to different nodes, and finally merge and clean it, and it is not a dream to increase the speed by 5 times.

Scenario 3: Cross-platform docking without scratching
When we do system integration for our customers, we use ipipgo's HTTPS proxy + JSON-RPC solution to perfectly solve the cross-language communication problems between Java and Python systems.

IV. QA Time: 5 Favorite Questions for Newbies

Q: What should I do if my proxy IP suddenly fails?
A: Check if the account balance is sufficient, you can enable auto-renewal if you use ipipgo. If it's an API call, remember to handle the retry mechanism (add a try-except block in the code)

Q: What if I want to process JSON and XML at the same time?
A: It is recommended to use ipipgo's intelligent routing function to distribute requests of different formats to dedicated proxy nodes, the configuration file is written like this:

{
  "json_services": ["gateway01.ipipgo.com" ], "xml_services": ["gateway02.ipipgo.com"], {
  "xml_services": ["gateway02.ipipgo.com"]
}

Q: Slow agents affect business?
A: Priority is given to static residential proxies, and the delay can be controlled within 200ms. ipipgo's business packages with QoS guarantee are especially suitable for speed-sensitive scenarios.

V. Three Iron Laws for Selecting Service Providers

As a final rant, keep these three points in mind when picking a proxy IP service provider:
1. Must be providedReal Residential IP（"The IP of the server room is a catch.)
2. To haveIP Availability Monitoring(ipipgo backend can see node status in real time)
3. SupportMulti-protocol access(HTTP/HTTPS/Socks5 must be at least two)

Don't be greedy and use free agents, the loss of blocked numbers is real money. Like our team now all changed to use ipipgo's enterprise version, with automatic switching and fault alarm function, no longer need to get up in the middle of the night to deal with proxy failure.