IPIPGO ip proxy Economic and financial data resources: proxy collection of financial data

Economic and financial data resources: proxy collection of financial data

When the financial data meets the crawler: hand in hand to teach you to avoid the pit guide The counterparts engaged in financial analysis understand that the market data is the lifeblood. However, the major platforms are now anti-reptile and anti-thief like, not moving to block IP. last week, my colleague Lao Zhang was continuously blocked 20 IP, the project is almost yellow. This time there is a reliable...

Economic and financial data resources: proxy collection of financial data

When Financial Data Meets Crawler: A Hands-On Guide to Avoiding Pitfalls

The financial analysis counterparts understand that the market data is the lifeblood. However, the major platforms are now anti-reptile and anti-thief like, not moving to block IP. last week, my colleague Lao Zhang because continuously blocked 20 IP, the project is almost yellow. This time there is a reliable proxy IP service, can really save life.

Three major pain points in financial data collection

1. Account-linked blocking: Frequent operation of the same IP will trigger the wind control
2. Geographical limitation traps: Some local data must be obtained using a local IP address.
3. Captcha bombing: Frequent visits will result in human-machine authentication and delays


 Python example: collecting data with ipipgo dynamic agent
import requests
from itertools import cycle

proxies = cycle([
    'http://user:pass@gateway.ipipgo.com:30001',
    'http://user:pass@gateway.ipipgo.com:30002'
])

for page in range(1,101): current_proxy = next(proxies)
    current_proxy = next(proxies)
    try: current_proxy = next(proxies)
        response = requests.get(
            'https://finance-data-source.com',
            proxies={'http': current_proxy},
            timeout=10
        )
        print(f'Page {page} captured successfully')
    except.
        print('IP failure auto switching...')

Choose a proxy IP by looking at these hard indicators

norm shoddy service provider ipipgo program
IP Survival Time 3-5 minutes From 30 minutes
Geographical coverage 20+ countries 200+ Cities
fail and try again manual switching automatic second cutting

Practical experience: three key tips

1. IP warm-up strategy: new to get the agent to do 5 low-frequency requests first, do not come up to catch data hard!
2. Traffic camouflage: remember to set the random request interval (floating between 0.5-3 seconds)
3. abnormal melting mechanism: 10-minute suspension for 3 consecutive unsuccessful requests

Frequently Asked Questions First Aid Kit

Q: Will it be expensive to proxy IPs?
A: ipipgo per volume billing model is more flexible, new users to send 5G traffic package, enough for small-scale projects with half a month!

Q: What should I do if I encounter a sudden IP failure?
A: Their API returns a list of available IPs in real time, and it is recommended that the IP pool be updated every 20 minutes

Q: What if I need to use multiple IPs at the same time?
A: Select "Mixed Locale Mode" directly from the ipipgo console, and the system will automatically assign exits to the different zones.

Tell the truth.

I've used seven or eight proxy services, and finally locked ipipgo on a solid. Last Wednesday we ran five crawlers at the same time, a day with more than 800 IP actually did not turn over. Especially to say that their technical customer service, two o'clock in the morning, but also a second back to the work order, which is too important to rush the project.

Finally, to remind the novice: do not buy cheap junk proxy, was blocked the loss of data value enough to buy three years of service. Remember to add failure retry logic when setting up the proxy, and refer to the above code example for specific parameters.

This article was originally published or organized by ipipgo.https://www.ipipgo.com/en-us/ipdaili/38942.html

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