Google Map Crawl API: POI Data Collection Solution

I. Why must I use a proxy IP to collect POI data?

The old iron of data collection should understand, directly dislike Google Maps API fierce, minutes will be blocked IP. this is like eating 20 cupcakes at the supermarket tasting counter, the security guards do not stare at you to stare at who? Especially when collecting store information, coordinates and points of these POI data, the system is very sensitive to high-frequency access.

That's when it's time toproxy IP poolTo cover up. Through ipipgo this kind of professional service provider to provide a residential agent, each request for a different "vest", so that the target site that is different users in the normal visit. The test found that the same IP continuous request more than 50 times, the probability of triggering the verification as high as 80%, while the dynamic proxy can reduce this risk to 5% below.

Second, the proxy IP selection to avoid the pit guide

Agent services on the market is a mixed bag, choose the wrong type of money may be spent in vain. Give the guys a comparison table:

Here's the kicker.Dynamic Residential AgentsThis kind of IP pool automatically replaces the export IP every 5-10 minutes, and with ipipgo's intelligent routing technology, it can simulate the network environment of real users. When the actual test collection of Google Maps POI data, it can stably obtain 30,000+ data points in a single day without triggering the wind control.

Third, the hand to configure the collection script

Here's a demo of the core code in Python, note the proxy settings section:

import requests
from itertools import cycle

 List of proxies provided by ipipgo
proxies = [
    "http://user:pass@gateway.ipipgo.com:8001",
    "http://user:pass@gateway.ipipgo.com:8002".
    ... Prepare at least 20 proxies
]

proxy_pool = cycle(proxies)

def get_poi(keyword).
    current_proxy = next(proxy_pool)
    try: current_proxy = next(proxy_pool)
        resp = requests.get(
            "https://maps.googleapis.com/..." ,
            proxies={"http": current_proxy},
            timeout=10
        )
        return resp.json()
    except.
        print(f "IP failover: {current_proxy}")
        return get_poi(keyword)

Here's the key point.Automatic switching of invalid IPsrespond in singingtimeout retry mechanismThe API gateway of ipipgo supports status monitoring, and dead IPs will be eliminated automatically, which is much more convenient than building your own proxy pool.

IV. Shredded experience in the field

1. Do not use a fixed User-Agent in the headers, it is recommended to randomly change the browser logo every 50 times.
2. Don't be too regular in the request interval, 0.8-3 seconds random pause is more realistic.
3. Prioritize the collection of non-sensitive fields (store name, address), ratings / telephone and other sensitive information after the take
4. Don't fight when encountering CAPTCHA, cut IP immediately and reduce the frequency.

V. Frequently Asked Questions QA

Q: How much IP volume is needed per day?
A: Based on 2000 requests per hour, it is recommended to prepare 50+ entrances, which is just covered by ipipgo's business packages

Q: Can I still use my blocked IP?
A：After the residential proxy is blocked, ipipgo will automatically update the IP pool, usually 2 hours back to usable!

Q: What should I do if I can't get the collection efficiency up?
A: open ipipgo concurrent channel service, support multiple IP requests at the same time, speed up 5 times is not a dream!

As a final reminder, data collection is aboutfig. economy will get you a long way.. Use a good proxy IP is like playing a game of chicken, frequent changes to live to the end. Instead of tossing free proxies, why don't you use a regular army like ipipgo and save time to dig up tens of thousands more data?