def google_search(query, api_key): search = GoogleSearch({"q": query, "api_key": api_key}) results = search.get_dict() return results['organic_results'] api_key = 'YOUR_API_KEY' query = 'Python programming' search_results = google_search(query, api_key) for result in search_res...
print(div.get_text() + "\n\n") 当我检查页面时,我发现搜索标题包含在h3标签中。我们可以利用这些信息来提取标题。 # Find all the search result divs divs = soup.select("#search div.g") for div in divs: # Search for a h3 tag results = div.select("h3") # Check if we have found ...
下面是一个简单的Python爬虫示例,它尝试发送一个HTTP GET请求到谷歌搜索页面,并解析返回的HTML内容。但请注意,由于谷歌的反爬虫机制,这个示例可能无法正常工作。 python import requests from bs4 import BeautifulSoup def scrape_google_search(query): # 谷歌搜索URL search_url = f"https://www.google.com/searc...
import time, random from xgoogle.search import GoogleSearch, SearchError f = open('a.txt','wb') for i in range(0,2): wt = random.uniform(2, 5) gs = GoogleSearch("about") gs.results_per_page = 10 gs.page = i results = gs.get_results() #Try not to annnoy Google, with a...
("keyword") is None: if self.keyword is None: return [] else: query = self.keyword else: query = kwargs.get("keyword") query = query.replace(' ', '+') URL = f"http://google.com/search?q={query}" page = 1 while True: try: print("当前正在搜索【" + str(query) + "】,...
append(item) print(results) 这样就可以了。这个脚本非常简单,而且容易出错。但至少它能带你入门,从此你就可以编写自己的 Google 爬虫了。你可以从 GitHub上下载整个脚本,地址是: https://github.com/getlinksc/scrape_google 原文链接: https://hackernoon.com/how-to-scrape-google-with-python-bo7d2tal (*...
import requests from bs4 import BeautifulSoup import csv import random import time def get_google_search_results(keyword, language_code, domain_list, num_results=10): base_url = "https://www.google.com/search" params = { "q": keyword, "hl": language_code, "num": num_results, } heade...
result_urls = [] def crawl_result_urls(): req = Request('https://google.com/search?q=' + slugify_keyword, headers={'User-Agent': 'Mozilla/5.0'}) html = urlopen(req).read() bs = BeautifulSoup(html, 'html.parser') results = bs.find_all('div', class_='ZINbbc') try: for resu...
results = search_google(query='site:linkedin.com -inurl:dir "at ses Satellites" "Current"') print(results) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. ...
Once you run the code you will get a beautiful JSON response like this. Finally, we were able to scrape Google and parse the data. Storing data to a CSV file We are going to use the pandas library to save the search results to a CSV file. The first step would be to import this...