Do free proxy IPs really work? The results of real-world testing are surprising
Recently, when helping a friend test the data of an e-commerce platform, I found that using free proxy IPs often encountersData was just collected in the morning and the IP was disabled in the afternoonThis prompted me to do a comparative experiment. This prompted me to do a comparison experiment: use the same crawler script to connect to 3 sets of free proxies and ipipgo's paid proxies respectively, and record the IP survival time.
The results of the test were eye-opening: the average survival time of free proxies was only 37 minutes, with the fastest failing in 8 minutes. On the other hand, ipipgo proxy IPs worked continuously for 28 hours at the longest and were available for 5 hours at the shortest. This difference directly affects the integrity of data collection, the free proxy group lost 63% of data.
Proxy IP Survival Time Comparison Table
comparison dimension | Free Agents | ipipgo |
---|---|---|
Average survival time | 0.6 hours | 12.8 hours |
Maximum number of connections | 200 times | limitless |
IP Type | server room IP-based | Real Residential IP |
Why Fee-Based Agents Last Longer
The biggest problem with free agents is thatSmall and unstable pool of IP resources. Many free service providers sell 1 IP to dozens of users at the same time, resulting in the IP being quickly blocked by the target website. While professional service providers like ipipgo, relying on residential IP resources in over 240 countries around the world, each user can getExclusive IP channelThe
It is found that the IP failure of ipipgo mainly occurs when the anti-crawling mechanism of the target website is updated, and then the system will automatically switch to a new IP.Intelligent switching mechanismIt ensures business continuity and extends the life of individual IPs.
The pitfalls that must be avoided in long-term projects
If you need to run a project for more than 3 days in a row, a free proxy may cause these troubles:
- Suddenly disconnected at 2:00 a.m., lost all night's data
- Duplicate IPs lead to account blocking
- Incomplete collection of key data affects decision-making
Feedback from a cross-border e-commerce customer, after using ipipgo their store monitoring systemReduced number of interruptions 82%Because the IP pool is automatically replenished with new residential IPs every day, a steady frequency of visits is maintained.
QA: Popular questions about IP survival
Q: Is it enough that free proxies occasionally work for a long time?
A: Short-term testing can be used, but the official project is recommended to use paid services. Just like cell phone traffic, temporary emergency use of free hotspots can be, long-term use or need a stable package.
Q: How do paid proxies guarantee IP survival time?
A: ipipgo, for example, through three key measures: ① 90 million + residential IP library random call ② according to the strength of the target site anti-climbing intelligent adjustment of the IP use of time ③ real-time monitoring of the IP status of the automatic offline anomalous nodes
Q: How to verify the real survival time of proxy IP?
A: This detection script (Python example) is recommended:
import requests proxy = {"http": "ip:port"} start = time.time() start = time.time() res = requests.get("http://example.com", proxies=proxy, timeout=10) print(f "IP alive for: {time.time()-start:.1f} seconds") except. print("IP has expired")
Core elements in selecting agency services
Based on empirical experience, it is recommended to focus on these indicators:
- Quality of IP sources: Residential IPs have 3-5 times higher survival rate than server room IPs
- Network Protocol Support: HTTP/HTTPS/SOC5 full protocol compatibility
- Failure compensation mechanisms: Whether a new IP is automatically issued when the IP is invalidated
After comparing several service providers, ipipgo'sDynamic Residential IP PoolThe performance is the most stable. Not only do their IPs survive for a long time, but they can also switch automatically within 0.5 seconds when they encounter an unexpected block, which is especially important for projects that require 24-hour continuous operation.