
First, why is data collection always blocked? First understand the rules of the game
Do Google Maps crawler brothers have encountered this dead cycle: just grabbed half an hour of data, IP address was pulled black. At this time, do not be in a hurry to scold the street, first look at their own is not stepping on the red line.
Google Maps access restrictions look at three main metrics:Frequency of single-IP visits,Request Behavior Model,Account linkage risk. Just like a bank monitoring abnormal ATM withdrawals, the system finds that a certain IP is madly swiping map data in a short period of time, and the defense mechanism will be triggered directly.
Second, the correct opening posture of the proxy IP
The proxy IPs mentioned here are not asking you to do something bad, it's the same reason why you open a chain of stores to be divided into multiple outlets. Let's say you open 10 branches, each store receives 50 customers per day, surely it is more stable than a separate store to hardwire 500 people per day.
recommendedDynamic Residential IP Pool for ipipgoThis thing has two tricks up its sleeve:
| dominance | effect |
|---|---|
| Real User Behavior Simulation | Random request intervals and irregular click trajectories |
| IP auto-rotation mechanism | Automatic switching of outlets every 50-100 requests |
Third, hand to teach you to ride the collection system
Here's a scenario that any white person can get started with, taking Python as a chestnut:
import requests
from itertools import cycle
List of proxies from ipipgo backend
proxies = ["123.45.67.89:8000", "234.56.78.90:8000"]
proxy_pool = cycle(proxies)
for page in range(1,100): current_proxy = next(proxies)
current_proxy = next(proxy_pool)
current_proxy = next(proxy_pool)
response = requests.get(
"https://www.google.com/maps/search/餐厅",
proxies={"http": current_proxy},
timeout=10
)
Add your data handling code here
except.
print(f"{current_proxy} this IP is down, move to the next one!")
Fourth, you can't have one without the three-piece suite to save your life.
Don't think you can rest on your laurels by just changing your IP, these three tricks have to work together:
- Request intervals to be arbitraryDon't be stupid and set a fixed 2 seconds, today it's 0.5-3 seconds random, tomorrow it's 1-5 seconds random!
- User agents should be fickle: a mix of Chrome, Firefox, and Edge versions
- To touch the fish during the collection periodDon't do raids in the middle of the night, just like real users.
v. guide to demining common problems
Q: What should I do if I use a proxy IP and still get blocked?
A: 80% is the IP quality is not good, free proxy is basically the IP room. suggest changing ipipgo residential proxy, their IP are real home broadband.
Q: How fast can I collect?
A: This depends on the specific configuration. If you use ipipgo's 50 high stash IP rotation, with the request interval optimization, it's not a big problem to grab 50,000-80,000 pieces of data a day
Q: Will I be held legally responsible?
A: Focus on the purpose of collection and subsequent use. Simply collecting basic information such as publicly available merchant names and addresses, and taking care not to violate the privacy policy.
Sixth, choose the agent service provider's eyes of fire
Agent service providers on the market are a mixed bag, to teach you a few identification tricks:
- Check IP source: use whois to check IP attribution, server room IP glance fake
- Surveying connectivity: 20 consecutive tests, success rate lower than 90% direct pass
- Look at the after-sales protectionThe ones like ipipgo that promise a 15-minute response time to failures are the ones that you can use.
Finally, to do data collection is like fishing, rush to the net may be no harvest. Use a good proxy IP this "invisibility cloak", with humanized operation rhythm, in order to get data in a long stream. Just into the pit of the proposed first from the ipipgo experience package to test the water, do not come up to buy an annual membership, suitable for their own is the king's way.

