AI Data Collection Tools: AI Agent Data Collection System

I. Proxy IP is the oxygen tank for AI data collection

Do network crawling friends know (yes, is deliberately misspelled), the site anti-climbing mechanism is like a high-voltage power grid. Last week an e-commerce price comparison team to find me spit: just start the collection program for 5 minutes, the IP address is blocked to death. At this time it is necessary to likeipipgoSuch a proxy IP service provider is the equivalent of putting a magic mask on a machine that changes faces.

Take a real scenario: an AI training company wants to capture the real-time prices of 30 e-commerce platforms. With local IP operation, it is equivalent to letting the same person change 30 sets of clothes every day to go to the supermarket to copy the price - if the security guards do not catch you, who to catch? Through ipipgo's dynamic residential IP pool, it is equivalent to hiring ground pushers from 200 countries to take turns recording, and each action is the normal browsing of "local residents".

import requests

proxies = {
    'http': 'http://user:pass@proxy.ipipgo.cc:24000',
    'https': 'http://user:pass@proxy.ipipgo.cc:24000'
}

response = requests.get('Target site', proxies=proxies, timeout=10)

Second, choose dynamic or static? Look at the business scenarios

Many newbies are prone to fall head over heels in the choice of IP type, here to draw aDummies Cross Reference::

Last week, I encountered a typical case: a cross-border team used a data center IP to capture Amazon data, which resulted in triggering the wind control. Switching to ipipgo'sDynamic Residential (Enterprise Edition)After that, the collection success rate soared from 23% to 89%, which is $1.8 per GB more expensive, but saves the cost of the risk of being blocked.

III. Five practical guidelines for avoiding pitfalls

1. Don't think of proxies as a panacea.: Even if you use ipipgo's 200 country IPs, set random access intervals. I've seen the most tigerish programmers set 0.1 seconds request frequency, as a result, the quality IP pool play waste!

2. There's something to be said for protocol selection: Mainstream websites are now on HTTPS, but some old systems still use HTTP. it is recommended to enable it in the ipipgo backend.Protocol auto-adaptationfunctionality

3. Location should be precise: Don't use German IPs if you need US data, ipipgo's client can select IPs by state, such as specifically wanting Texas IPs for localized content collection

4. There's a trick to keeping the conversation going.: For scenarios where you need to keep the login state, remember to add the session hold parameter to the code. Here's a Python example:

session = requests.Session()
session.proxies.update(proxies)
session.get('login page') keep the cookie state

5. Traffic monitoring can't be understated: ipipgo background real-time traffic statistics should always look at, a sudden surge in traffic may be a bug in the crawler. I've seen someone run off 200GB in one night, and found that it was a dead request!

IV. Quick questions and answers to frequently asked questions

Q: What should I do if my proxy IP is slow?
A: Priority check the protocol settings, with Socks5 protocol is usually faster than HTTP 20%. if it does not work, contact ipipgo customer service to switch the exclusive channel

Q: What if I need to manage thousands of IPs at the same time?
A: Use their API interface to do automated management, support batch extraction, release, status query. Enterprise Edition users can also apply for customized development

Q: What should I do if I encounter website upgrade anti-climbing?
A: ipipgo's 1v1 technical consultants can help design IP rotation strategies, and they've dealt with all sorts of oddball anti-crawl mechanisms

Q: What should I do if my static IP is flagged?
A: Submit an exception report in the console and it will be handled within 2 hours. If it is a long-term demand, it is recommended to buy multiple static IP for disaster recovery

V. Hidden techniques for cost control

Recently, I helped a friend optimize a data collection project and reduced the monthly agency cost from 4,700 to 1,300:

1. For round-the-clock collection readTargeted website active hoursharvest
2. Combined with ipipgopay per volume+Monthly Packages
3. Openingdata compressionFeature (can save 30% traffic)
4. Set up IP auto-release rules (15 minutes of inactivity for auto-recovery)

The last thing I want to say is: don't just look at the price of the proxy service. Some cheap service providers to the IP early into the blacklist, with this IP work is equivalent to wearing transparent clothes on the street - they feel hidden, in fact, other people can see clearly. ipipipgoDynamic Residential IP PoolUpdated daily with 20% resources, this is the option that really solves the problem.