Question

我想定期检查Google列出的子域名。

要获取子域列表，请在Google搜索框中键入“site：example.com” - 这会列出所有子域结果（我们的域名超过20页）。

仅提取“site：example.com”搜索返回的地址的网址的最佳方法是什么？

我正在考虑编写一个小的python脚本，它将执行上述搜索并从搜索结果中重新编写URL（在所有结果页面上重复）。这是一个好的开始吗？可以有更好的方法吗？

干杯。

Answer 1

正则表达式是解析HTML的一个坏主意。阅读并依赖格式良好的HTML是神秘的。

为Python尝试BeautifulSoup。这是一个示例脚本，它返回网站前10页的网址：domain.com Google查询。

import sys # Used to add the BeautifulSoup folder the import path
import urllib2 # Used to read the html document

if __name__ == "__main__":
    ### Import Beautiful Soup
    ### Here, I have the BeautifulSoup folder in the level of this Python script
    ### So I need to tell Python where to look.
    sys.path.append("./BeautifulSoup")
    from BeautifulSoup import BeautifulSoup

    ### Create opener with Google-friendly user agent
    opener = urllib2.build_opener()
    opener.addheaders = [('User-agent', 'Mozilla/5.0')]

    ### Open page & generate soup
    ### the "start" variable will be used to iterate through 10 pages.
    for start in range(0,10):
        url = "http://www.google.com/search?q=site:stackoverflow.com&start=" + str(start*10)
        page = opener.open(url)
        soup = BeautifulSoup(page)

        ### Parse and find
        ### Looks like google contains URLs in <cite> tags.
        ### So for each cite tag on each page (10), print its contents (url)
        for cite in soup.findAll('cite'):
            print cite.text

输出：

stackoverflow.com/
stackoverflow.com/questions
stackoverflow.com/unanswered
stackoverflow.com/users
meta.stackoverflow.com/
blog.stackoverflow.com/
chat.meta.stackoverflow.com/
...

当然，您可以将每个结果附加到列表中，以便为子域解析它。我刚刚进入Python并在几天前刮擦，但这应该让你开始。

Answer 2

Google Custom Search API可以以ATOM XML格式提供结果

Getting Started with Google Custom Search

Answer 3

另一种使用 requests, bs4 的方法：

import requests, lxml
from bs4 import BeautifulSoup

headers = {
    "User-Agent":
    "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/72.0.3538.102 Safari/537.36 Edge/18.19582"
}

params = {'q': 'site:minecraft.fandom.com'}

html = requests.get(f'https://www.google.com/search?q=',
                    headers=headers,
                    params=params).text
soup = BeautifulSoup(html, 'lxml')

for container in soup.findAll('div', class_='tF2Cxc'):
   link = container.find('a')['href']
   print(link)

输出：

https://minecraft.fandom.com/wiki/Podzol
https://minecraft.fandom.com/wiki/Pumpkin
https://minecraft.fandom.com/wiki/Swimming
https://minecraft.fandom.com/wiki/Polished_Blackstone
https://minecraft.fandom.com/wiki/Nether_Quartz_Ore
https://minecraft.fandom.com/wiki/Blacksmith
https://minecraft.fandom.com/wiki/Grindstone
https://minecraft.fandom.com/wiki/Spider
https://minecraft.fandom.com/wiki/Crash
https://minecraft.fandom.com/wiki/Tuff

要使用分页从每个页面获取这些结果：

from bs4 import BeautifulSoup
import requests, urllib.parse
import lxml

def print_extracted_data_from_url(url):

    headers = {
        "User-Agent":
        "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.19582"
    }
    response = requests.get(url, headers=headers).text

    soup = BeautifulSoup(response, 'lxml')

    print(f'Current page: {int(soup.select_one(".YyVfkd").text)}')
    print(f'Current URL: {url}')
    print()

    for container in soup.findAll('div', class_='tF2Cxc'):
        head_link = container.a['href']
        print(head_link)

    return soup.select_one('a#pnnext')


def scrape():
    next_page_node = print_extracted_data_from_url(
        'https://www.google.com/search?hl=en-US&q=site:minecraft.fandom.com')

    while next_page_node is not None:
        next_page_url = urllib.parse.urljoin('https://www.google.com', next_page_node['href'])

        next_page_node = print_extracted_data_from_url(next_page_url)

scrape()

部分输出：

Results via beautifulsoup

Current page: 1
Current URL: https://www.google.com/search?hl=en-US&q=site:minecraft.fandom.com

https://minecraft.fandom.com/wiki/Podzol
https://minecraft.fandom.com/wiki/Pumpkin
https://minecraft.fandom.com/wiki/Swimming
https://minecraft.fandom.com/wiki/Polished_Blackstone
https://minecraft.fandom.com/wiki/Nether_Quartz_Ore
https://minecraft.fandom.com/wiki/Blacksmith
https://minecraft.fandom.com/wiki/Grindstone
https://minecraft.fandom.com/wiki/Spider
https://minecraft.fandom.com/wiki/Crash
https://minecraft.fandom.com/wiki/Tuff

或者，您可以使用来自 SerpApi 的 Google Search Engine Results API。这是一个付费 API，可免费试用 5,000 次搜索。

要集成的代码：

from serpapi import GoogleSearch
import os

params = {
  "engine": "google",
  "q": "site:minecraft.fandom.com",
  "api_key": os.getenv('API_KEY')
}

search = GoogleSearch(params)
results = search.get_dict()

for result in results['organic_results']:
  link = result['link']
  print(link)

输出：

https://minecraft.fandom.com/wiki/Podzol
https://minecraft.fandom.com/wiki/Pumpkin
https://minecraft.fandom.com/wiki/Swimming
https://minecraft.fandom.com/wiki/Polished_Blackstone
https://minecraft.fandom.com/wiki/Nether_Quartz_Ore
https://minecraft.fandom.com/wiki/Blacksmith
https://minecraft.fandom.com/wiki/Grindstone
https://minecraft.fandom.com/wiki/Spider
https://minecraft.fandom.com/wiki/Crash
https://minecraft.fandom.com/wiki/Tuff

使用分页：

import os
from serpapi import GoogleSearch

def scrape():
  
  params = {
    "engine": "google",
    "q": "site:minecraft.fandom.com",
    "api_key": os.getenv("API_KEY"),
  }

  search = GoogleSearch(params)
  results = search.get_dict()

  print(f"Current page: {results['serpapi_pagination']['current']}")

  for result in results["organic_results"]:
      print(f"Title: {result['title']}\nLink: {result['link']}\n")

  while 'next' in results['serpapi_pagination']:
      search.params_dict["start"] = results['serpapi_pagination']['current'] * 10
      results = search.get_dict()

      print(f"Current page: {results['serpapi_pagination']['current']}")

      for result in results["organic_results"]:
          print(f"Title: {result['title']}\nLink: {result['link']}\n")
scrape()

<块引用>

免责声明，我为 SerpApi 工作。

提取Google搜索结果

3 个答案: