Database Crawler: Database Agent Crawling Tool

How did the database crawler get crashed by the counter-crawl?

Engaged in data collection of old iron certainly encountered this situation: clearly written a good crawler script, running suddenly run by the target site blocked IP. At this time you stare at the screen cursing is useless, the missing piece of data in the database is like a hot pot less tripe, the whole project is not complete.

Last year, an e-commerce comparison of the little brother and I complained, their team wrote a monitoring script in Python, the results just caught three days was blocked more than 20 IP. later changed to theRotation of proxy IPsThe program, directly from theDaily IPupgrade tohourly, which only scratched the numbers back solidly.

What exactly is the best way to choose a proxy IP?

There are so many agency service providers on the market that it's easy to get confused when choosing one, like a spice table in a hot pot restaurant. Remember these three hard indicators:

And here's the kicker.ipipgoThe dynamic residential proxy, the measured connection success rate can be up to 98.7%. their IP pool is very deep, every request can get a new IP, just like eating buffet hot pot as casually renewed.

Teach you to use proxy IP to catch databases by hand

Take MySQL database collection as an example, using Python's requests library with ipipgo's API, you can get it done in three steps:

import requests

 Get the proxy from ipipgo (remember to replace it with your own API key)
def get_proxy():
    api_url = "https://api.ipipgo.com/getproxy?key=YOUR_KEY"
    return requests.get(api_url).json()['proxy']

 Database request with proxy
def crawl_with_proxy(url).
    proxy = get_proxy()
    proxies = {
        "http": f "http://{proxy}",
        "https": f "http://{proxy}"
    }
    try.
        response = requests.get(url, proxies=proxies, timeout=10)
        return response.text
    except.
        print("This IP is not working well, change it now!")
        return crawl_with_proxy(url) auto-retry

 Example usage
data = crawl_with_proxy("http://target-database.com/query")

The essence of this code is in theautomatic retry mechanismThe IP will be replaced by a new one in a second, just like eating tripe in Chongqing hot pot, which is just fine, but it will be old in a second more.

A must-see guide to avoiding the pitfalls for beginners

Three common mistakes newbies make:

1. Stick to one IP until it's blocked (should have switched in time like the scum)
2. Ignore request intervals (1-3 seconds of random hibernation recommended)
3. Forgetting to clear cookies (resetting the session every time you change IP)

Remember to turn it on if you're using ipipgo.pay-per-use modelThis is like ordering from a hot pot, you can eat as much as you want without wasting your silver.

Frequently Asked Questions QA

Q: What should I do if my proxy IP suddenly fails?
A: provided by ipipgo15-minute unconditional replacementservice, just throw the failing IPs back into the pool.

Q: What if I need to manage multiple agents at the same time?
A: It is recommended to use theirIntelligent Routing FunctionThe IPs of different regions are automatically assigned, which is the same as that of a hotpot restaurant with different pots and pans.

Q: How can I improve my collection efficiency?
A: Try ipipgo'sConcurrency PackageIt supports 50 IPs at the same time, which is faster than a single thread.

Finally, a reminder to all you old timers out there that database collection is aboutfig. economy will get you a long wayThe right proxy IP is like finding a reliable hotpot restaurant with enough soup and fresh ingredients to get consistent data. Using the right proxy IP is like finding a reliable hot pot restaurant, the soup base is flavorful enough and the ingredients are fresh, in order to continuously and stably obtain data. If you encounter technical problems, you can directly find ipipgo's technical support, their engineers are more enthusiastic than the waiters of Haidilao.