Web crawling API: data collection interface

These days you can't do data collection without a proxy IP.

Do crawl brothers understand, now the site anti-climbing mechanism that is called a strict. Last week I personally saw a programmer brother, wrote a collection script, the results just run half an hour on the IP was blocked, anxious straight grip hair. This time we have to move out of ourSecret Weapon - Proxy IPThis is like putting a cloak on a crawler. This thing is like putting a cloak of invisibility on a crawler, changing its vest for each request, so the site can't tell if it's a real person or a machine.

To give a real case: there is a team doing e-commerce price comparison, the original use of fixed IP to capture data, on average, every 15 minutes was blocked once. Later, it changed to ipipgo's dynamic residential proxy.The request success rate shot straight up from 37% to 92%The collection efficiency has more than tripled. What does this mean? Choose the right agent service, directly determine the life and death of data collection.

Choose a proxy IP to look at these three hard indicators

The market is full of agency service providers, but there are really not many reliable ones. I have summarized aThree principles for avoiding pitfalls::

Focusing on this concurrent support, many small agents will bury a mine here. Previously, there is a company that does public opinion monitoring, at the same time open 800 threads to collect, the result is that the proxy server directly collapsed. Later, we changed the ipipgoResilient Expansion ProgramThe peaks are as steady as an old dog at 2,000 threads.

Hands-on API connection

Take ipipgo's API as an example of a three-step docking process:

 A Python chestnut
import requests

def get_proxy():
    api_url = "https://api.ipipgo.com/getproxy"
    params = {
        "key": "Your key",
        "protocol": "https",
        "count": 10 Take 10 IPs at a time
    }
    resp = requests.get(api_url, params=params)
    return resp.json()['proxies']

 Initiate the request using a proxy
proxy_list = get_proxy()
for proxy in proxy_list.
    try: response = requests.get("goal")
        response = requests.get("Target site", proxies={"https": proxy})
        print("Capture successful:", response.text[:100])
        break
    except.
        print(f "IP {proxy} failed, automatically switching to next")

Watch this.Automatic switching mechanismEspecially important, that try-except block in the code is a life preserver. Tested with this method, even if encountered 20% invalid IP, can successfully complete the collection task.

QA Time: Common Pitfalls for Newbies

Q: Why does my agent slow down when I use it?
A: 80% is the quality of the IP pool is not good. ipipgo's IP is automatically refreshed every 15 minutes, it is recommended to add a timer in the code to re-acquire a batch of new IP every 20 minutes.

Q: How do I break into Cloudflare protection?
A: Got to use a residential proxy + browser fingerprinting disguise. ipipgo'sPremium PackageRemember to add "type": "resident" to the API parameters.

Q: How can I tell if a proxy is in effect?
A: There is a native method - in the code to print the response.headers in the X-Forwarded-For field, if the display and your local IP is not the same, that the proxy is in effect.

Say something from the heart.

In the data collection business.Don't save the agent's money.The first thing you need to do is to get your hands on a free agent. I've seen people using free proxies before, and as a result, the data they pick up are all advertisements for phishing sites. ipipgo has recently had an experiential activity that sends 5G of traffic to new users, so we recommend trying before you buy. Remember, a good proxy service is to pick the data of the iron rice bowl, choose the right one can make your crawler less three years detour.

Finally remind a tip: do not use a fixed value when setting the request interval, add a random float. For example, an average of 1 second request, can be designed as a random number between 0.8-1.2 seconds, so that it is more difficult to be recognized by the site.