
Why is downloading real estate data always blocked? You may have stepped into these pitfalls
Recently, a lot of friends complained to me, saying that it is more difficult to catch a house price information than to find an object. Obviously just want to get some real estate offers, transaction records, the results of just grabbing two pages on the jump verification code, and then grab the direct IP blocking. this thing, to put it bluntly, is the site to us as a "wool party" to prevent it.
Last week there was an agency guy who was even worse, their company wrote their own crawler, and it was blocked for three days in a row for more than 20 IPs. then they used what I saidThe Great Proxy IP RotationNow it's crawling 50,000+ pieces of data per day steadily. Here head doorway is actually two points:Fake it like it's real.(math.) genusThe IPs are changing fast enough.The
Hands on with building a crawl program
First of all, let's talk about a real case: a data company uses this set of solutions to get stable monthly data of new/second-hand houses in 50 cities across the country. Their core configuration looks like this:
| assemblies | Configuration points |
|---|---|
| Proxy IP Type | Dynamic residential IP (don't use server room IP) |
| Request frequency | Single IP ≤ 3 times per minute |
| request header | Randomly Generated Browser Fingerprints |
The focus here is on proxy IP selection. Anyone who has used ipipgo knows that theirDynamic Residential IP PoolThere is a masterpiece - each request automatically switch city nodes. For example, the first time you request to show Shanghai Telecom, the next time may become Guangzhou Mobile, perfect simulation of the geographical distribution of real users.
import requests
from itertools import cycle
API interface provided by ipipgo
proxy_list = [
"http://user:pass@gateway.ipipgo.com:30001",
"http://user:pass@gateway.ipipgo.com:30002", ...
... More proxy nodes
]
proxy_pool = cycle(proxy_list)
for page in range(1, 101): proxy = next(proxy_pool)
proxy = next(proxy_pool)
try: response = requests.get()
response = requests.get(
url="https://fangjia.xxx.com/list",
url="", proxies={"http": proxy},
headers={"User-Agent": "Random UA"}, timeout=10
timeout=10
)
Processing data...
except Exception as e.
print(f "Request failed, switching IP automatically: {e}")
Must-see anti-blocking tips for beginners
Name a few details that are easy to overlook:
1. Do not catch data in the early hours of the morning, the site is less traffic at this time, the abnormal request is particularly conspicuous
2. Remember to set the random delay, which is recommended to fluctuate between 0.5 and 3 seconds
3. Don't fight when encountering CAPTCHA, use a coding platform or pause for half an hour.
4. Regularly clean up cookies, do not let the site remember your "fingerprints".
A friend was dead set on not being able to capture the data before, and then realized that the User-Agent wasn't randomly replaced. Use ipipgo'sBrowser Fingerprint EmulationAfter that, the success rate shot straight up from 40% to 95%.
Frequently Asked Questions
Q: Do I have to buy a proxy service? Can I build my own server?
A: Ordinary server IP segment is too centralized, the site a catch. ipipgo's 2,000,000 + dynamic IP pool, distributed in more than 200 cities across the country, which is the bottom of the professional anti-seizure.
Q: How much IP volume is needed per day to be sufficient?
A: Based on 3 requests per minute, a single IP can handle 4320 requests per day. If it is 100,000 level data volume, it is recommended to prepare 30-50 high stash IP rotation.
Q: How long does ipipgo's IP survive?
A: Dynamic residential IP default 15-minute replacement, you can also manually switch instantly. Tested three days of continuous capture did not trigger the banning mechanism.
Tell the truth.
You've been in this business long enough to realize that the technical means are allStable agent resources are kingIt is a good idea to use ipipgo's emergency capacity expansion service. Last year, during the double eleven, a customer temporarily to catch competitor promotional data, relying on ipipgo's emergency expansion services, hard to handle 200,000 data collection in 3 hours.
Finally, to remind the newbie friends: do not buy cheap junk proxy, those a few dollars of shared IP, nine out of ten are blacklisted regulars. Regular service providers such as ipipgo, although the price is higher, but people have aIP Quality Inspectionrespond in singingReal-time replacement mechanismInstead, the math works out to be more cost-effective.

