
What is the Proxy IP Dataset really good for? A hands-on guide to getting your hands on the data
Recently, I've been asked by many friends for proxy IP data, saying that the publicly available addresses on the Internet either don't work or are as slow as a snail's pace. I know this too well! Last year, when I was doing a crawler project, I almost pulled my hair out to find a reliable proxy IP. Later foundA professional team for a professional job.Like the one we use.ipipgoProxy service that directly saves 90% tossing time.
Don't step on these potholes!
White's favorite thing to do is to search the whole network for free agents, the result is that 8 out of 10 are phishing. Last month I personally saw a colleague with a free IP crawl data, the next day the account was blocked. If you want me to say, you have to pay attention to three points in your own collection:
Pseudo-code example (do not copy directly)
import requests
from bs4 import BeautifulSoup
def scrape_proxies(): url = "some free proxy site".
url = "some free proxy site"
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
Here you may encounter the anti-crawl mechanism...
You may also get a fake proxy...
See? It takes half a day just to get a crawler going, let alone verify usability. That's whenipipgo off-the-shelf APIThe advantage of this comes out, doesn't it smell good to take the verified agent pool directly?
Five golden rules for dataset screening
Buying a proxy IP dataset is not like picking cabbage in a vegetable market, you have to look at these hard indicators:
- Survival rate must be 85% or higher(ipipgo can do 92%)
- Response time of less than 3 seconds is considered passable
- The anonymity level must be at least anonymous
- Evenly distributed geographically
- Support for the HTTPS protocol is fundamental
Hidden Trope To Watch Out For When Buying Proxy IPs
Some businesses on the market to play word games, said what "millions of IP pool", the actual available IP less than 10%. here to teach you three tricks to prevent pitfalls:
1. Be sure toTry before you pay(like ipipgo offers a 2 hour test)
2. See if volume-based billing is supported
3. Check that the API documentation is complete
Proxy IP dataset application scenarios
Don't think it's only for programmers, you might need it for these situations too:
- Doing market research to catch competitors' prices
- Preventing IP blocking during data cleansing
- Test your own website's risk control system
- Multi-account management to prevent correlation
This is the time to useDynamic Residential Proxy for ipipgo, much more stable than regular server room IPs.
QA time: what you might want to ask
Q: Is there really that big a difference between free proxies and paid proxies?
A: Let's put it this way, the free agent is like a public restroom, anyone can use but health is not guaranteed. Paid agents are like their own restrooms, although they have to spend money, but they can be used with confidence.
Q: How do I test the quality of the proxies?
A: ipipgo comes with detection tools in the background, mainly looking at these three items:
1. Connection success rate
2. Average speed of response
3. Anonymity testing
Q: What is the right package for my first purchase?
A: It is recommended to start withThe ipipgo experience packGetting started, 19 bucks can measure 500 IPs, enough for a small project.
Say something from the heart.
Proxy IP business is very deep, some merchants sell recycled used IP as new. Our team has tested seven or eight service providers and finally locked in theipipgo. Not that it's absolutely perfect, but people can do it7×24 hours real-time IP pool updateThis point hangs over the peers.
Lastly, I would like to remind you that buying proxy IP datasets is not the more expensive the better, the key is to see whether it matches the needs. If you are doing overseas business, remember to chooseNodes of ipipgoIf you're doing domestic data collection, they're more cost-effective with their provincial pinpointing IPs.

