Practical crawler combat in Python: WeChat public account crawler

Python is an elegant programming language with powerful data processing and web crawling capabilities. In this digital age, the Internet is filled with a large amount of data, and crawlers have become an important means of obtaining data. Therefore, Python crawlers are widely used in data analysis and mining.

In this article, we will introduce how to use Python crawler to obtain WeChat public account article information. WeChat official account is a popular social media platform for publishing articles online and is an important tool for promotion and marketing of many companies and self-media.

The following are the steps:

1. Install Python crawler library

Python has many crawler libraries to choose from. In this example, we will use the python crawler library beautifulsoup4 to extract WeChat public account article information. Use pip to install this library:

pip install beautifulsoup4

2. Get the historical article link of a WeChat public account

It is very simple to grab the historical article of a public account. First we need to find the name or ID of the public account. For example: the ID of the "Zen of Python" public account is "Zen-of-Python".

It is difficult to directly capture data from the WeChat web version, so we need tools to easily obtain the article list page. In this example, I will use the service provided by Sogou WeChat Search, which can easily obtain the article list page of each public account on WeChat.

We need to install the Robot framework and Selenium library to simulate browser operations and obtain the article list page through the search engine.

pip install robotframework
pip install robotframework-seleniumlibrary
pip install selenium

3. Get additional article information

For each article link, we also need to obtain some additional article information, such as article title, publication time, author, etc. Again, we will use the beautifulsoup4 library to extract this information.

The following is a code snippet that can capture public account article links, as well as the title, publication time, reading volume and number of likes of each article:

import requests
from bs4 import BeautifulSoup
import time

url = "http://weixin.sogou.com/weixin?type=1&query={}".format("Python之禅")

# 使用Selenium工具来模拟浏览器操作
from selenium import webdriver

driver = webdriver.Chrome()
driver.get(url)

# 执行搜索动作
search_box = driver.find_element_by_xpath('//*[@id="query"]')
search_box.send_keys(u"Python之禅")
search_box.submit()

# 点击搜索结果中的公众号
element = driver.find_element_by_xpath('//div[@class="news-box"]/ul/li[2]/div[2]/h3/a')
element.click()

# 等待页面加载
time.sleep(3)

# 点击“历史消息”链接
element = driver.find_element_by_xpath('//a[@title="历史消息"]')
element.click()

# 等待页面加载
time.sleep(3)

# 获取文章链接
soup = BeautifulSoup(driver.page_source, 'html.parser')
urls = []
for tag in soup.find_all("a", href=True):
    url = tag["href"]
    if "mp.weixin.qq.com" in url:
        urls.append(url)

# 获取每篇文章的标题、发布时间、阅读量和点赞数
for url in urls:
    response = requests.get(url)
    response.encoding = 'utf-8'
    soup = BeautifulSoup(response.text, 'html.parser')

    title = soup.find('h2', {'class': 'rich_media_title'}).text.strip()
    date = soup.find('em', {'id': 'post-date'}).text.strip()
    readnum = soup.find('span', {'class': 'read_num'}).text.strip()
    likenum = soup.find('span', {'class': 'like_num'}).text.strip()
    print(title, date, readnum, likenum)

The above is the Python actual combat of this article: All contents of WeChat public account crawler. This crawler can obtain relevant information from historical articles of WeChat public accounts, and perform more specific extraction processing through the beautifulsoup4 library and Selenium tools. If you are interested in using Python crawlers to uncover more valuable information, this example is a great starting point.

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