
Crawlers don't use proxies these days? Beware of being blacklisted by websites!
We do crawler brother understand, directly with their own IP to glean data, minutes by the target site to detect abnormal traffic. Light is to restrict access, heavy is permanently banned - especially like Ragflow such as the need to frequently access the data platform, no reliable proxy IP body protection, is simply running naked online.
Recently, I helped a friend to debug the Ragflow crawler when I planted a headache. At that time, crawling commodity price data, the first half hour is still normal, the result suddenly can not receive a response. A check of the logs found that the HTTP status code all change 403, get, the IP has been accurately recognized by others.
Bug example (direct connection crawler)
import requests
url = 'https://example.com/data'
response = requests.get(url) bare request
print(response.status_code) output 403
Top 3 Pain Points of Ragflow Crawler
Combined with our actual experience of stepping on the pit, we have compiled a list of these damning questions:
| concern | manifestations | result |
|---|---|---|
| IP exposure | Single IP High Frequency Access | Trigger the wind control mechanism |
| Geographical limitation | Inaccessibility of specific areas | Incomplete data collection |
| CAPTCHA interception | Suddenly a verification page pops up | Crawler process interruption |
The right way to open ipipgo proxy
Then I switched.Dynamic Residential Proxy for ipipgo, the problem is solved. Their IP pool has more than 20 million real residential IPs, and each request can change the export IP of different regions, which perfectly solves these three problems:
Correct posture (proxy model)
proxies = {
'http': 'http://用户名:密码@1.2.3.4:8080',
'https': 'http://用户名:密码@1.2.3.4:8080'
}
response = requests.get(url, proxies=proxies)
Here's something to keep in mind.Don't write usernames and passwords directly in the code.It is recommended to use environment variables to store them. ipipgo backend can directly generate the proxy address with authentication and copy it over to use it.
A practical guide to avoiding the pit
Name a few details that are easy to roll over:
- Don't use free proxies for cheap, those IPs have already been flagged by various websites.
- Request intervals of at least 3 seconds, more robust with random delays
- Don't fight with CAPTCHA, change IP and try again!
As a chestnut, crawling Ragflow user comments with ipipgo'son-demand billing modelEspecially cost-effective. Set the threshold of automatic IP switching, when encountering 3 consecutive request failures, it will automatically change the export IP, the code looks like this:
from random import choice
ip_pool = ipipgo.get_proxy_pool() get the latest IP pool
retry_count = 0
while retry_count < 3: current_proxy = choice(ip_pool)
current_proxy = choice(ip_pool)
try: current_proxy = choice(ip_pool)
response = requests.get(url, proxies=current_proxy)
break
except: current_proxy = choice(ip_pool)
current_proxy = request.get(url, proxies=current_proxy) break except. retry_count +=1
ip_pool.remove(current_proxy)
Frequently Asked Questions QA
Q: Will proxy IP speeds slow down?
A: It's important to choose the right service provider! ipipgo's nodes have an average response speed of <80ms, which is faster than some cloud servers' direct connection. The key is that their IP purity is high, unlike public proxies that compete for bandwidth.
Q: What should I do if my IP is blocked?
A: Turn it on in the ipipgo backendAutomatic phase-out mechanismThe system monitors IP availability in real time and automatically takes down failed IPs within 10 seconds while replenishing new IPs to the resource pool.
Q: How can I tell if a proxy is in effect?
A: A visit to the address http://ip.ipipgo.com/checkip will return information about the exit IP and attribution currently in use.
Tell the truth.
Don't believe those who say "proxy IP universal" nonsense, the key is still to see how to use. We recommend that you apply for a proxy IP at ipipgo first.Free Trial PackageIf you want to test it, run it for two days in a test environment and observe the effect. They have a particularly useful "traffic analysis" function, you can clearly see the success rate of each IP, response time and these key indicators.
Finally, I would like to remind you that crawlers have to be careful about what they are doing. Set a reasonable request frequency, avoid the peak hours of the website, don't catch a target to the death. Good use of proxy IP this double-edged sword, both to ensure the efficiency of data collection, but also do not give people a server to add blockage, which is the long-term solution.

