
Why Baidu crawlers need proxy pools? Getting to the bottom of the pain point
Engaged in data collection know, Baidu domestic station anti-climbing mechanism is more and more strict. To cite a real case: an e-commerce company with a fixed IP to catch the ranking of goods, the results of the next day, the IP directly blocked, the entire team data source out of supply. This time if you use thedynamic agent pool, the IP rotates and the anti-climbing system simply can't figure out the pattern.
Here's the point:High-frequency access must be blocked IPThe first thing you need to do is to get the data from the IP address! Especially to do competitor analysis, SEO monitoring and such a need to continue to grasp the data business, single IP hard shoulder is looking for death. Last year, there was a friend who did public opinion monitoring, because he did not change the agent, triggered the CAPTCHA for three days in a row, and finally the project was directly yellow.
Proxy pool practical program to teach you the value of the hand-me-down
Do not organize those false, directly on the dry goods. Building a proxy pool is mainly divided into four steps:
Sample code: Python requests using proxy pools
import requests
from ipipgo import get_proxy here with ipipgo's SDK
def baidu_crawler(url): proxy = get_proxy(type='https')
proxy = get_proxy(type='https') Automatically get the latest proxies.
try: res = requests.get(url)
res = requests.get(url, proxies={"https": proxy}, timeout=10)
return res.text
except.
mark_failed(proxy) Automatically marking a failed proxy
return baidu_crawler(url) auto-retry
Note that these three potholes should never be stepped on:
1. Don't use free agents(Slow to respond and easily exposed)
2. Do not set a fixed switching frequency(Regular visits amount to self-immolation)
3. Be sure to check the validity of the IP(Failed IPs kicked out of the pool in a timely manner)
Why do we recommend ipipgo?
Our team has tested 7 agency services on the market, and ipipgo is a solid winner on three key metrics:
| norm | ipipgo | Industry average |
|---|---|---|
| IP Survival Time | 12-36 hours | 2-8 hours |
| Request Response Speed | ≤800ms | 1.5-3s |
| Geographical coverage | 34 provinces nationwide | key city |
Special mention of theirIntelligent Routing TechnologyIt can automatically match the nearest proxy according to the server location of the target website. Last month, I helped a customer to do local life data collection, and the collection speed was directly increased by 3 times with this function.
Frequently Asked Questions QA
Q: What should I do if my proxy IP suddenly fails?
A: ipipgo has aSeconds switchingFunction, automatically change IP address in case of failure, up to 3 retries to ensure no dropouts
Q: What package should I choose to capture a large amount of data?
A: According to the peak business selection, such as 100,000 requests per day, choose the enterprise version of the package, do not save the money, be blocked IP loss is greater!
Q: Does it support multi-threaded concurrency?
A: API support for ipipgoBulk IP Pool AcquisitionThe maximum number of IPs is 200 at a time, perfectly adapted to the distributed crawler.
Tell the truth.
I've seen too many people fall in this matter, there is a team of travel price comparison, can not afford to buy proxy services, their own tossing servers to engage in IP pools. As a result, two months of light server costs spent more than 20,000, not counting the cost of technical labor. Then change ipipgo annual package, directly save 60% cost.
Final Reminder: Doing Baidu CrawlerNever use transparent proxies! Be sure to pick a high stash proxy, ipipgo'sDeep anonymity modelPro-tested to be effective, X-Forwarded-For all these headers are cleanly handled for you.

