Real Estate Neighborhood Data: Property Neighborhood Data Access

How do you get real estate neighborhood data? Figure out these 3 pitfalls first

Recently, a lot of agents have approached me to complain, saying that it is now more difficult to check a neighborhood information than to check the household registration. Want to know the real transaction price of the property next door? The website directly shows you the asterisks. Want to see the real evaluation of the owner's forum? Brush the page twice on the tip of frequent visits. This time you needProxy IP this magic weapon, especially specialized services like ipipgo that can help you get around these limitations.

To cite a real case: last year there is a second-hand real estate analysis of friends, want to statistics of a second-tier city 30 neighborhoods of the property fee data. As a result, he used his home network to capture 5 neighborhoods, and his IP was blocked. Later, he changed to ipipgo's dynamic residential agent.Automatic switching of IP addresses for different cities every hourThe data was collected in two days.

Teach you to use a proxy IP to capture data

Here's a practical solution (remember to replace the API in the code with your own):

import requests
from itertools import cycle

 List of proxies provided by ipipgo
proxies = [
    "http://user:pass@gateway.ipipgo.com:30001",
    "http://user:pass@gateway.ipipgo.com:30002"
]
proxy_pool = cycle(proxies)

url = "Target real estate website address"

for _ in range(10):
    current_proxy = next(proxy_pool)
    try: current_proxy = next(proxy_pool)
        response = requests.get(url,
            proxies={"http": current_proxy},
            timeout=10
        )
        print("Successfully fetching data:", response.text[:50])
    except.
        print(f "Failed request with {current_proxy}, automatically switching to next")

Note that the matching agent is selectedResidential AgentsDon't use data center IPs. many websites can now recognize server room IPs, and using ipipgo's residential proxy is closer to real user behavior. It is recommended to set a request interval of 3-5 seconds, too fast and easy to be targeted by the wind control.

A practical guide to avoiding the pit

There is a lesson in tears: a certain time to help developers do competitive analysis, did not pay attention to these details directly overturned:

Recommended for ipipgoDynamic Session FunctionsTheir IP pool covers 300+ cities across the country, and each request automatically matches the real Internet characteristics of local residents, which is more than 10 times more stealthy than ordinary proxies.

White Frequently Asked Questions QA

Q: Why do I need a paid proxy? Don't the free ones work just as well?
A: Free proxy 90% are molecules play the rest, not only slow, but also may be marked by the site as a risk IP. like ipipipgo this regular service provider, all IPs areClean IP used by real users in real lifeThe success rate can go up to 98% or more.

Q: It's so troublesome to manually switch proxies every time?
A: ipipgo provides intelligent rotation mode, after setting the parameters of region and operator, the system will automatically switch according to the preset strategy. For example, you can set "change the IP of a provincial capital city every 5 requests", without manual intervention.

Q: Is data scraping legal?
A: here to emphasize three points: 1. only collection of public data 2. control the frequency of requests does not affect the normal operation of the site 3. do not have to do illegal purposes. It is recommended to cooperate with ipipgo'sCompliance modelThe access speed will be automatically limited to avoid hitting the legal red line.

Finally, a cold knowledge: some sites will be 2-5 am access to the judgment of the low-risk time, this time period with proxy IP to capture data higher success rate. Of course, the specific strategy of each site is different, it is recommended to use ipipgo test IP to do a small batch of attempts.