v=soup.find_all(class_=['sister0','sister']) print(v) v=soup.find_all(text=['Tillie']) print(v,type(v[0])) v=soup.find_all(id=['link1','link2']) print(v) v=soup.find_all(href=['link1','link2']) print(v) #######
#print(soup.find('ul', attrs={ 'id' : 'mylist'})) print(soup.find('ul', id='mylist')) The code example findsultag that hasmylistid. The commented line has is an alternative way of doing the same task. BeautifulSoup find all tags With thefind_allmethod we can find all elements...
try: # Maybe multiple grips listed, key one should be in there grips = soup.findAll('p', {'id':'grip'})[0] grips = " ".join(grips.split()) # Normalize extra spaces except IndexError: title = "UNKNOWN" try: # Hide some stuff in the HTML tags moose = soup.findAll('meta',...
soup.find_all(id='link2') # [Lacie] 3)text 参数 通过text 参数可以搜搜文档中的字符串内容,与 name 参数的可选值一样, text 参数接受 字符串 , 正则表达式 , 列表 soup.find_all(text="Elsie") # [u'Elsie'] soup.find_all(text=["Tillie", "Elsie", "Lacie"]) # [u'Elsie', u'Lacie'...
find_all('a'): print(link.get('href')) In this example, the code fetches the web page, parses it, and then prints out all the hyperlinks it finds. It’s a simple way to collect data without needing to comb through the code manually. Pros Here are the pros of using Beautiful...
BeautifulSoup allows us to find sibling elements using 4 main functions: - find_previous_sibling to find the single previous sibling- find_next_sibling to find the single next sibling- find_all_next to find all the next siblings- find_all_previous to find all previous si...
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# Maybe multiple grips listed, key one should be in there grips = soup.findAll('p', {'id':'grip'})[0] grips = " ".join(grips.split()) # Normalize extra spaces except IndexError: title = "UNKNOWN" try: # Hide some stuff in the HTML tags moose =...
You can find more info about this option in the [Crawl website with relative links](./crawl-website-with-relative-links) example. + +::: + + + + + {BeautifulSoupExample} + + + + + {PlaywrightExample} + + + diff --git a/docs/examples/crawl_multiple_urls.mdx b/docs/examples/...
python -m pip install 'crawlee[all]'Then, install the Playwright dependencies:playwright installVerify that Crawlee is successfully installed:python -c 'import crawlee; print(crawlee.__version__)'For detailed installation instructions see the Setting up documentation page....