
Why do business information databases always drive you crazy?
Doing market research friends understand that finding enterprise information is like finding a needle in a haystack. The official website data is incomplete, the business information is slow to update, and the third-party platform always gives you a limited flow. The worst thing is, with the same IP frequently check the data, minutes by the system to pull the black, before crawling the data all for nothing.
Last week, a customer doing financial risk control complained to me that their team used the traditional method to collect the enterprise's shareholding structure, and as a result, the IP was blocked for three consecutive days, and the project was almost canceled. At this time, we have to move out of ourSecret Weapon - Dynamic Proxy IP, later on, we'll talk specifically about how to break this.
How did proxy IPs become a data collection savior?
Let's take a real example: you want to batch check the abnormal business records of 1000 enterprises. If you use the company's network to check directly, less than 50 will be found by the target site abnormal traffic. At this time, if you use ipipgo's dynamic residential IP, the system sees each visit is a different region of the "real user", the success rate of data collection directly more than tripled.
import requests
from ipipgo import get_proxy
Get a dynamic residential IP
proxy = get_proxy(type='residential', region='random')
Configure the crawler parameters
headers = {'User-Agent': 'Mozilla/5.0'}
resp = requests.get(
'https://企业信息查询接口'.
proxies={"http": proxy, "https": proxy},
timeout=10,
headers=headers
)
Choose a proxy IP service provider by looking at these hard indicators
There are many proxy IP service providers on the market, but there are also many pits. Here are a few easy to step on the minefield:
| norm | shoddy service provider | ipipgo program |
|---|---|---|
| IP Survival Time | 3-5 minutes to expiration | 30-minute stable connection |
| IP purity | Flagged by multiple platforms | Real Life Housing IP |
| Concurrency support | Up to 20 threads | Support 500+ concurrency |
Special reminder: some service providers will disguise the data center IP as a residential IP, this with two days will be anti-climbing system to identify. ipipgo IP are real home broadband resources, we have a customer continued to collect enterprise search data for three months did not trigger the wind control.
Hands-on teaching you with proxy IP system
Here's a grounded configuration scenario to give an example of a Python crawler:
- Create API key in ipipgo backend
- Set up an automatic IP change policy (recommended 1 change per 200 requests)
- Configure a failure retry mechanism (especially when encountering CAPTCHA)
Here's the kicker.IP Rotation Strategy, many people fall head over heels here. It is recommended to adjust the level of protection according to the target site:
- General website: IP changes every 5 minutes
- Intermediate protection: IP change per session
- Metamorphosis level protection: change IP for each request + simulate real human operation intervals
Frequently Asked Questions QA
Q: Do I still have to maintain my own IP pool with a proxy IP?
A: No need at all! ipipgo's intelligent scheduling system will automatically allocate available IP, but also recommend the optimal program according to your business scenario. There is a friend who does competitive analysis, originally we need to hire someone to maintain the IP pool, now we save 2 labor costs.
Q: Will I be blocked for collecting enterprise data?
A: It is important to use the right method. Last week, I helped a credit agency to optimize the program, changed the fixed IP to ipipgo's dynamic IP + request header randomization, and the success rate of data acquisition soared from 37% to 92%.
Q: How is information on multinational enterprises collected?
A: ipipgo supports local IP resources in 200+ countries around the world. There is a law firm doing overseas mergers and acquisitions, which needs to obtain the data of Chinese, American and European enterprises at the same time, and uses our geo-location function to directly specify the local IP of each country, and the data integrity is improved by 80%.
Finally, enterprise data collection is a long-term project. Seen too many teams can not afford to invest in the early stage, the later by the data quality problems tossed to death. Choose the right proxy IP program, can really let you go three years less curved road. What specific business scenarios are not sure, go directly to the official website of ipipgo to find technical customer service nagging, they give the program more reliable than the online copy.

