IPIPGO ip proxy BeautifulSoup Tutorial: Getting Started with Web Parsing

BeautifulSoup Tutorial: Getting Started with Web Parsing

Hands-on teaching you to use BeautifulSoup to disassemble web page data What's the biggest headache for people doing data collection? The structure of web pages changes every day! This is where the web parser BeautifulSoup comes in. Today we will talk about how to use this thing, together with ipipgo proxy service, guaranteed to make your crawler stable...

BeautifulSoup Tutorial: Getting Started with Web Parsing

HandySoup teaches you to disassemble web data with BeautifulSoup

What's the biggest headache for people doing data collection? The structure of the web page changes every day! This is the time to rely onWebpage parserBeautifulSoup. Today we're going to natter on about how to use this stuff, paired withipipgoThe proxy service is guaranteed to keep your crawlers steady as old dogs.

Don't be sloppy with your environmental preparations

First install the two essential libraries and open cmd to dislike them directly:


pip install beautifulsoup4 requests

Note that the requests version is not too new, old projects are prone to problems. If the installation gets stuck, tryipipgoThe exclusive download channel provided (specifically ask customer service for it) can be quite a bit faster.

Basic operation three axes

Look at this code, we are going to catch the price of an e-commerce company:


from bs4 import BeautifulSoup
import requests

url = 'https://example.com/product'
resp = requests.get(url)
soup = BeautifulSoup(resp.text, 'html.parser')

price_tag = soup.find('span', class_='price-num')
print(f "Current price: {price_tag.text}")

Here's the point!class_The underlining is not a slip of the hand, it's a Python syntax requirement. If the site has a backcrawl, remember to add the following to requests.getipipgoThe proxy parameters of the


proxies = {
    'http': 'http://用户名:密码@gateway.ipipgo.com:9020',
    'https': 'https://用户名:密码@gateway.ipipgo.com:9020'
}
resp = requests.get(url, proxies=proxies)

Practical Tips and Tricks

What to do in these situations:

problematic phenomenon prescription
Label attributes change dynamically With the contains selector
Data hidden in JavaScript Get on the Selenium + BeautifulSoup combo!
IP suddenly blocked Switch Nowipipgobackup node

Take a real case: a customer used ouripipgoThe residential proxy, together with the following code, successfully breaks the access restrictions of a platform:


soup.select('div[class^="product_"]') Match divs whose class starts with product_

Frequently Asked Questions QA

Q: Why is the parsed data empty?
A: 80% of the site is loaded with dynamic content, either on Selenium, or check if the IP is banned - this is the time to use theipipgoTry another IP.

Q: What should I do if I always encounter SSL certificate errors?
A: In requests.get addverify=Falseparameter, but it is more recommended to use theipipgoHTTPS proxy with its own certificate validation

Q: How can I improve the parsing speed?
A: two optimizations: 1. use lxml parser instead of the default html.parser 2. match theipipgoHigh-speed data center agent with latency down to 60%

anti-blocking secret

Remember these three don'ts:


1. do not use a fixed User-Agent
2. Do not use high-frequency access (interval <2 seconds)
3. Do not use only a single IP (important!)

weipipgoUsers have a tart operation: in the code integrated IP pool automatic switching function, with BeautifulSoup's abnormal retry mechanism, continuous operation for 30 days without overturning the car.

Lastly, a word of caution: web parsing is not a metaphysics, more practice is the king. If you encounter problems that you can't solve, remember toipipgoThe technical support at any time standby, after all, our family's agent service with free technical advice, do not need to use it!

This article was originally published or organized by ipipgo.https://www.ipipgo.com/en-us/ipdaili/34453.html

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