Proxy IP Map Data Capture: Map Data Proxy Capture Solution

Why do I have to use a proxy IP for map data?

Now engaged in map data collection peers understand, each platform's anti-climbing mechanism is more and more ruthless. Take the case I encountered last week, there is a do local life services team, using their own office network to grab a map POI data, the results just run two days IP was blocked to death ---Even the company's intranet access is affectedThe

The doorway here is that map service providers are particularly sensitive to the frequency of single-IP requests. Take a real scenario: you want to batch access to a business district within 500 meters of the merchant information, according to conventional practice to send the coordinates of the parameters of the cycle. But once the platform found that the same IP in a short period of time dozens of consecutive requests, light is to return empty data, heavy is directly blocked IP segment.

Proxy IP combos in the real world

First of all, a real operation program, our team recently used ipipgo's static residential package to handle a province-wide map data collection:

 Python Example
import requests
from itertools import cycle

proxies = cycle(ipipgo.get_proxies(type='static')) poll static IP pools

for coord in coordinates_list: current_proxy = next(proxies)
    current_proxy = next(proxies)
    try.
        resp = requests.get(
            'https://mapapi.example.com/search',
            params={'radius':500, 'location':coord},
            params={'radius':500, 'location':coord}, proxies={'https': current_proxy}, timeout=15
            timeout=15
        )
         Data processing logic...
    except Exception as e.
        ipipgo.report_failure(current_proxy) Faulty IPs are automatically rejected.

At the heart of this program is theIP rotation + anomaly detection. With a static residential IP is not easy to trigger the platform's wind control (after all, looking like a real user), with the automatic elimination of faulty nodes of the mechanism, the collection of the success rate can be mentioned more than 82%.

Choosing a proxy IP depends on the dish

According to our experience of real testing, different scenes should be matched with different packages:

Special mention to ipipgo'sTK LineThe response time is more than 3 times faster than conventional lines when dealing with certain special coordinate system conversions, making it suitable for scenarios that require real-time geocoding processing.

A Guide to Avoiding Pitfalls (Blood Lessons Edition)

1. Don't use data center IPs on the cheap: A time to figure cheap with a certain home room IP, the results just run half an hour to be recognized, the data returned all the verification code page!

2. Remember to bring the request headerdevice fingerprint: It's best to use a real browser to generate the User-Agent, we've suffered from being blocked in seconds with Python's default header!

3. Control the rhythm of the request: do not think that the use of proxy IP can do whatever you want, it is recommended to add a random delay in the code (0.5-3 seconds)

Frequently Asked Questions QA

Q: What should I do if the proxy IP speed affects the collection efficiency?
A: choose ipipgo's cross-border line package, the measured average response of the Hong Kong node in 280ms or so, faster than the ordinary line 40%

Q: What if I need to collect overseas map data?
A: Use their international static residential IP, pay attention to choose the target country's local carrier resources (for example, grab the U.S. data to use AT&T's IP segment)

Q: How do I break the CAPTCHA when I encounter it?
A: It is recommended that a combination of two programs: ① change the higher anonymity of the static IP ② reduce the frequency of single IP requests ③ with the coding platform (the cost will rise)

How to choose a reliable service provider

It's not for nothing that ipipgo is recommended, they have three particularly useful points:

1. Supporthourly rateof flexible packages, which are especially friendly to short-term blitz collection

2. Provision of off-the-shelfSDK ToolkitThe features such as automatic IP switching and request failure retry do not require you to build your own wheels.

3. ExclusiveIP Quality Monitoring PanelThe availability of each node can be seen in real time (this is so critical to maintain the stability of the data pipeline).

Recently their new coordinate offset correction API is also quite interesting, it can automatically align the coordinate system differences between different map platforms, saving the trouble of data cleaning.