Zillow Data Capture Tool: Real Estate Trend Capture Solution

When Real Estate Agents Meet Zillow Crawlers

Recently, a friend who is a real estate agent in the U.S. complained to me that they have to manually check Zillow's listing information every day, and their eyes are almost blurred. This reminds me of the painful experience of writing my own crawler three years ago when I was blocked by the website's IP - my account couldn't be logged in for three consecutive days, which almost delayed my client's purchase of a house. Only later did I realize thatProxy IP with the right, data capture efficiency can be more than tripled!The

Why is your crawler always found by Zillow?

Let's start with a real-life example: a real estate company polled 10 servers for crawling, only to receive a warning letter from Zillow on the third day. The problem was in three areas:

ipipgo hands-on configuration guide

Here's a recommendation for ipipgoDynamic Residential IP PackageTheir home IP pool covers all 50 states and supports automatic IP changes. see this Python example:

import requests
from random import uniform

proxies = {
    'http': 'http://user:pass@gateway.ipipgo.com:9020',
    'https': 'http://user:pass@gateway.ipipgo.com:9020'
}

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
}

 Randomized stops between crawls
def safe_scrape(url).
    try.
        resp = requests.get(url, headers=headers, proxies=proxies, timeout=10)
        return resp.text
    except Exception as e.
        print(f "Crawl error: {str(e)}")
    finally.
        time.sleep(uniform(1.2, 3.8)) Random delay is more natural

A guide to the three main pitfalls to avoid in data collection

1. IP purity makes the difference between success and failure: Residential proxies from ipipgo are recommended, their IPs are real home broadband and are harder to recognize than server room IPs!

2. Request frequency should be like a real person: Never set fixed intervals, humans don't browse the web with the precision of a stopwatch!

3. There's something to be said for data cleansingZillow's home price data sometimes comes with special symbols, so remember to filter out the $ and the , sign with a regular expression!

Frequently Asked Questions

Q: How can I recover quickly after getting my IP blocked?
A: Immediately switch ipipgo's alternate gateway, they have an automatic fusion mechanism that detects abnormalities and will automatically assign new IPs

Q: How do I assign IPs to capture multiple regions at the same time?
A: It is recommended that each region be divided into zip codes and each region be bound to a specific IP segment. ipipgo supports geo-location to select IPs, for example, to capture California's use of their West Coast nodes.

Q: What should I do if the agent speed affects the collection efficiency?
A: Tests have found that the response speed of ipipgo is generally within 800ms, if you encounter nodes with high latency, just add a retry decorator in the code

Tips for realizing real estate data

Lastly, I'd like to share a practical experience: comparing the captured listing price with the historical transaction price, and using ipipgo to maintain a long-term stable collection, can accurately predict the regional home price trend. A client relied on this model and plunked down 10 villas in Austin last year, and now the rental yield reaches 9%...

All of this is really just to tell you thatChoosing the right proxy service provider can really make things twice as effective as they are twice as good. Recently see ipipgo official website is doing activities, new users to send 10G traffic, do real estate data friends may want to try. After all, data collection is like fishing, both good technology and equipment in place, not?