Data collection company: Enterprise-level automated collection services

Why do real businesses always roll over when it comes to crawling data?

Recently with a few friends to do e-commerce nagging, found that they are in the headache of the same problem: self-developed crawler program every now and then on the IP blocked. an older brother is even worse, just deployed the price comparison system less than three days of operation, the server IP directly to be blacklisted. This thing is actually very common, now the anti-climbing mechanism of the site with the installation of the radar like, ordinary fixed IP and hold up the ID card online no difference.

There is a misunderstanding here, many people think that buying a few more servers and switching them around will solve the problem. In fact, nowadays websites are playingBehavioral Characteristics RecognitionThe same IP segment will be caught if there is a sudden increase in the number of visits. Last week, there is a customer and I complained, their technical team tossed half a month to get the distributed collection system, and finally lost to the target site's geographic location verification.

A life-preserving trio for enterprise-grade acquisition

These three pieces of equipment are indispensable for a solid automated collection:

1. living IP pools (dynamically changing access identities)
2. anthropomorphic trajectory (do not let the program like a robot)
3. anomaly meltdown mechanism (see the wrong immediately retreat)

Focus on the IP pool thing. There are many proxy service providers on the market, but the ones that are suitable for enterprise scenarios have to fulfill a few hard criteria:

I was helping a clothing brand with their data center, and the IP of one of their original proxies was constantly showing upgeographic drift--Obviously to collect regional weather data, the result of IP positioning in Hainan's server suddenly popped up in Heilongjiang. Later replaced with ipipgo's city-level positioning function, this problem is completely solved.

Hands on teaching you how to play with proxy IPs

Here's a real-world example given in Python, using the requests library in conjunction with the ipipgo API:

import requests

def get_proxy().
     Get dynamic proxy from ipipgo (remember to replace your API key)
    resp = requests.get("https://api.ipipgo.com/get?key=YOUR_KEY&format=json")
    return f "http://{resp.json()['proxy']}"

url = "Target website address"
headers = {"User-Agent": "masquerading as browser UA"}

for _ in range(100).
    try: response = requests.get(url, url, url, url, url)
        response = requests.get(url,
                              proxies={"http": get_proxy()},
                              headers=headers,
                              timeout=8)
         Processing the collected data...
    except Exception as e.
        print(f "Error capturing: {str(e)}")
         Automatically triggering ipipgo's exception flagging feature

Watch this.timeout parameterEspecially important, set too short easy to misjudgment, too long and affect the efficiency. According to our test, 8-12 seconds is a more appropriate interval. Also remember to do randomization in the headers, do not let User-Agent uniform.

Common pitfalls QA

Q: What should I do if my proxy IP often times out?
A: 80% is using a low quality shared IP pool. ipipgo's dedicated lines support TCP long connections, we suggest adding a retry mechanism in the code and contacting them for technical tuning of the routing strategy.

Q: What if I need to capture a website that requires a login?
A: Remember two principles: ① the same IP fixed corresponding to a group of accounts ② do not change the IP during the login state survival. ipipgo's session hold function can be bound to a specific exit IP, to avoid triggering the account anomaly detection.

Q: Are there any legal risks associated with transnational collection?
A: Focus on the robots protocol of the website from which the data originated. Use ipipgo's compliance audit function to automatically identify and filter pages that are prohibited from crawling, a service unique to their home.

What to look for in a service provider

Finally, I would like to give you a reminder, don't just compare the price. Last year, a company doing travel data bought a proxy IP from a small workshop for a cheap price, and found a large number of IPs halfway through the collection.dirty data--Some IPs actually carry cookie information from former users, which almost led to legal disputes. ipipgo does a better job of this, with a thorough data wipe every time an IP is recovered, and PCI-DSS certification underpinning it.

If you can't decide, you can just ask for a trial package. Like ipipgo, new subscribers can get5GB free traffic, enough to test the underlying functionality. Remember that enterprise-level acquisition is a systematic project, a good proxy IP is like a car's transmission, usually do not feel the existence of, but critical moments off the chain can kill.