Python Web Crawling Libraries: Scrapy vs BeautifulSoup

I. Crawler tool selection determines the efficiency ceiling

If you're a data crawler, you know that choosing the wrong tool is like drinking soup with chopsticks - it's a lot of work, and Scrapy and BeautifulSoup are old enemies that newbies tend to have trouble choosing. Let's not play false today, directly on the hard food, focusing on how to combine theproxy ip serviceto maximize their power.

Let's start with a whole comparison table to hold the floor:

Second, the correct opening posture of the proxy IP

Anyone who has used web crawling knows thatIP blocking is a common occurrenceIt's time to call in our savior - ipipgo's proxy service. This time we have to call out our savior - ipipgo's proxy service. Here is the key point: Scrapy comes with a middleware mechanism with a proxy is really fragrant, while using BeautifulSoup, you have to cooperate with the requests library to get a little bit of action.

As a practical example: to configure ipipgo's high stash proxy with Scrapy's middleware, add these lines of code directly to settings.py:

DOWNLOADER_MIDDLEWARES = {
    'scrapy.downloadermiddlewares.httpproxy.HttpProxyMiddleware': 543,
}
IPIPGO_PROXY = 'http://用户名:密码@gateway.ipipgo.com:9020'

BeautifulSoup this side will have to encapsulate a session object, it is recommended to use the requests of the Session class with the ipipgo rotating proxy pool, each request randomly change the export IP, so that the anti-sealing effect of the bar.

Third, anti-blocking practical skills publicized

Don't think that just because you've hooked up with an agent that everything will be fine, here are a couple ofLessons in bloodGotta keep that in mind:

1. 千万别用免费代理（高不说，还可能被反爬标记）
2. High-frequency visits remember to control request intervals (randomized pauses recommended)
3. User-Agent header should be changed frequently
4. Don't be tough when it comes to CAPTCHA, and don't feel bad about using a coding platform.

Here's a must for ipipgoDynamic Residential AgentsThe IP pool of their home is updated every day with 200,000+ real residential IPs, and with the concurrent features of Scrapy, the speed of data grabbing takes off directly. Last week, they used their services to catch an e-commerce platform, ran for three consecutive days did not trigger the wind control, stable batch.

IV. Soul-searching session (QA)

Q: Which one to choose for small-scale crawling?
A: If you grab dozens of pages, BeautifulSoup + requests combination is completely enough. But remember to be sure to match ipipgo's pay-per-use agent, new users to send 1G flow enough for you to play half a month.

Q: What should I do if I encounter Cloudflare protection?
A: on ipipgo'sLong-lasting static residential agentThe IP can be used for a full 24 hours, and with the browser fingerprinting camouflage, it has been personally tested to break 90%'s 5-second shield.

Q: How can asynchronous crawlers avoid being blocked?
A: Scrapy's concurrency is not too high (it is recommended to control within 32 threads), and the number of IP pools is more than twice the number of threads. ipipgo's Enterprise Edition package supports real-time extraction of APIs, which is just right for this scenario.

V. Pit Avoidance Guide and Upgrade Route

A common fatal mistake made by newbies is to write proxy configurations in code that has to be redeployed as soon as you want to make changes. The veteran driver's approach is:

1. Access ipipgo's API to the crawler's proxy manager
2. Setting up automatic heartbeat detection (weeding out failed agents)
3. Different websites are segregated by different IP pools
4. Enabling IP whitelisting for critical tasks

Finally, a piece of cold knowledge: if you use Scrapy, make sure to turn on theRETRY_TIMESParameters, with ipipgo's automatic IP switching function, encountered 429 status code automatically change IP retry, the success rate directly increased 60% is not a dream.