Python Crawler Agent Switching Pain Points in Real Scenarios
Many friends who are new to network data collection have encountered this situation: the program runs normally for the first half hour, and then suddenly gets stuck and does not move. This is often because the target website detects abnormal access frequency and blocks the current IP address. At this time, it is necessary toDynamic switching of proxy IPsto keep the crawler running continuously.
Core Equipment Selection: Dynamic vs. Static Proxies
Proxy IPs on the market fall into two main categories (as shown in the table):
typology | Applicable Scenarios | specificities |
---|---|---|
Dynamic Residential Agents | High Frequency Data Acquisition | Automatic IP rotation, closer to real user behavior |
Static Data Center Agent | long session operation | Fixed IP address for stability |
Take the service provided by ipipgo as an example, their dynamic residential proxy pool covers more than 240 regions around the world, and each request can obtain real residential IPs in different regions, which is especially suitable for those who need toSimulate real user distributionof the acquisition scenario.
Hands-on configuration of Python agent environment
Implementing proxy switching at the code level is actually quite simple. Take the commonly used requests library as an example:
import requests from itertools import cycle Sample proxy list from ipipgo proxies = [ "http://user:pass@gateway.ipipgo.com:8000", "http://user:pass@gateway.ipipgo.com:8001". More proxies nodes... ] proxy_pool = cycle(proxies) def get_with_proxy(url): current_proxy = next(proxy_pool) try. current_proxy = next(proxy_pool) try: response = requests.get(url, proxies={"http": current_proxy}, timeout=10) timeout=10) return response.text except. print(f "Proxy {current_proxy} failed, automatically switching to the next one.") return get_with_proxy(url)
Here theloop iteratorRealize automatic switching, when a proxy fails, it will automatically try the next node. It is recommended to work with the API provided by ipipgo to dynamically update the proxy list to ensure that the latest available IPs are obtained every time.
Five key details in the real world
1. timeout setting: It is recommended to set it at 10-15 seconds to avoid blocking the whole process with a single request.
2. retry with an exception: Retry mechanism for connection timeout, authentication failure, etc.
3. request interval: even if using a proxy, set a reasonable delay (0.5-2 seconds)
4. IP Geographic Distribution: Specify country-specific export IPs through ipipgo's region selection feature
5. Protocol Support: Ensure that the proxy service supports HTTP/HTTPS/SOCKS5 protocols.
Frequently Asked Questions QA
Q: What should I do if my proxy IP is blocked after a few times?
A: Choose a highly anonymous proxy service like ipipgo, their residential proxies come with real device fingerprints, which can effectively reduce the probability of being blocked.
Q: How can I verify if the agent is in effect?
A: Add IP detection logic in the code, recommended to use the ipipgo provided by theIP Authentication Interface, which returns information about the currently used egress IP in real time.
Q: What if I need to collect offshore data?
A: ipipgo's global node repository supports accurate IP targeting down to the city level, and through their control panel you can filter country-specific proxy resources directly.
Long-term maintenance recommendations
It is recommended that the proxy management module be packaged independently to work with a log monitoring system to record the usage of each IP. When the failure rate of an IP exceeds a threshold, it is automatically updated with a replacement via ipipgo's API interface. This kind ofDynamic maintenance mechanismIt can keep the crawler running stably for 7×24 hours.