Proxy IP automation framework: proxy automation collection framework construction

The pain of messing with proxy pools, whoever uses it knows.

Brothers engaged in data capture understand that the proxy IP three days or two times failed to kill. Yesterday, the IP can be used, today suddenly collective strike, scripts run running into the PPT card. more disgusting is that some proxies look to work, the actual latency is ridiculously high, not as good as their own broadband direct connection.

At this time it is necessary to whole point of automation means, can not manually change the IP every day, right? Write your own framework is not difficult, the key to solve the three core problems:How to get fresh IP,How do you sift the beatable,How do you keep the scheduler from jamming?The

Build your own wheels or use off the shelf?

Online ready-made proxy pooling framework a lot, but used to know how pitiful. Either the configuration is as complex as a puzzle game, or poor scalability can only be a toy. Jerk their own framework, it is recommended to use Python + Redis combination, 30 lines of code can build out the skeleton:

import redis
from crawler import IPFetcher

 Connect to Redis for storage
pool = redis.ConnectionPool(host='localhost', port=6379)
r = redis.Redis(connection_pool=pool)

 Register the fetcher
fetcher = IPFetcher()
fetcher.register_source(ipipgo_api) Access the ipipgo API here

Note here don't be stupid and use free proxy sources, poor quality not to mention the possibility of carrying poison. Direct DockingipipgoThe API of his family's dynamic residential agent survival rate can get to 85% or more, which is much more stable than the wild card.

The validation module needs a little work.

Just detecting whether the IP can connect or not is amateurish, it has to be a whole multi-dimensional verification:

Validation scripts should addtime-out fusemechanism, don't let the crappy IP drag down the whole system. It is recommended to use asynchronous IO for this, it doubles the speed:

async def check_proxy(ip).
    async with aiohttp.ClientSession() as session.
        async with aiohttp.ClientSession() as session.
            ClientSession() as session: start = time.time()
            async with session.get('https://ipipgo.com/check', proxy=ip, timeout=5) as resp.
                latency = time.time() - start
                return latency < 2 and resp.status == 200
    except.
        return False

Scheduling strategy is more important than you think

There are advantages and disadvantages to each of the three common scheduling models:

1. polling mode: Suitable for even usage scenarios, but will kneel when encountering unexpected traffic
2. weighting: Graded by IP quality, quality IPs are used on a knife edge
3. Intelligent Switching: Dynamically adapted to the type of business, requires access to machine learning

Recommended for starting outDynamic Weighting + FailoverThe combo. Tag each IP with a success rate below 80% for automatic degradation. Here it is recommended to useExclusive static IP for ipipgoIt is especially suitable for services that require long sessions, and its stability beats that of dynamic IP.

A practical guide to avoiding the pit

Recently helped a friend get a cross-border e-commerce price monitoring system, using ipipgo's cross-border line to save a lot of things. Share a few blood and tears lessons:

• Don't save resources in the validation phase, one IP was detecting fine, but ended up disconnecting every 10 minutes!
• Scheduling strategies should distinguish between types of business, crawling images and crawling APIs have completely different IP requirements
• Remember to set the IP cooling time, high-frequency use is easy to be pulled by the target site black!

Their TK line is really something, running Tiktok data hasn't been blocked. But be careful of the traffic consumption, it is recommended to openDynamic Residential (Enterprise Edition)The package, at $9.47/GB is more build resistant than the standard version.

Frequently Asked Questions QA

Q: What should I do if the proxies suddenly fail en masse?
A: Check whether the API key is expired, if you are using ipipgo's service, their IP average survival cycle of more than 6 hours, sudden failure can contact customer service to check the line!

Q: How to choose between dynamic and static IP?
A: ordinary crawlers with dynamic residential enough, need to log in the state of the business (such as e-commerce than the price) must be on the static IP, although 35 yuan / a / month, but worry about the

Q: Is there a limit to API calls?
A: ipipgo's standard package of 3 requests per second, high concurrency demand is recommended to buy the enterprise version of the package, support customized QPS

Proxy automation is like raising fish, you need to change the water regularly (update IP), but also need to feed them well (choose a reliable service provider). If you've done it yourself, you'll know that instead of looking for a needle in a haystack of free proxies, it's better to directly use theipipgoThe off-the-shelf solution saves enough time to write a few more crawler scripts.