我使用以下脚本从网页中提取内部和外部链接。然后根据我的需要编写另一个脚本来处理这些链接。
import requests
from urllib.parse import urlparse, urljoin
from bs4 import BeautifulSoup
import colorama
# init the colorama module
colorama.init()
GREEN = colorama.Fore.GREEN
GRAY = colorama.Fore.LIGHTBLACK_EX
RESET = colorama.Fore.RESET
YELLOW = colorama.Fore.YELLOW
# initialize the set of links (unique links)
internal_urls = set()
external_urls = set()
total_urls_visited = 0
def is_valid(url):
"""
Checks whether `url` is a valid URL.
"""
parsed = urlparse(url)
return bool(parsed.netloc) and bool(parsed.scheme)
def get_all_website_links(url):
"""
Returns all URLs that is found on `url` in which it belongs to the same website
"""
# all URLs of `url`
urls = set()
soup = BeautifulSoup(requests.get(url).content, "html.parser")
for a_tag in soup.findAll("a"):
href = a_tag.attrs.get("href")
if href == "" or href is None:
# href empty tag
continue
# join the URL if it's relative (not absolute link)
href = urljoin(url, href)
parsed_href = urlparse(href)
# remove URL GET parameters, URL fragments, etc.
href = parsed_href.scheme + "://" + parsed_href.netloc + parsed_href.path
if not is_valid(href):
# not a valid URL
continue
if href in internal_urls:
# already in the set
continue
if domain_name not in href:
# external link
if href not in external_urls:
print(f"{GRAY}[!] External link: {href}{RESET}")
external_urls.add(href)
continue
print(f"{GREEN}[*] Internal link: {href}{RESET}")
urls.add(href)
internal_urls.add(href)
return urls
def crawl(url, max_urls=1000):
"""
Crawls a web page and extracts all links.
You'll find all links in `external_urls` and `internal_urls` global set variables.
params:
max_urls (int): number of max urls to crawl, default is 30.
"""
global total_urls_visited
total_urls_visited += 1
print(f"{YELLOW}[*] Crawling: {url}{RESET}")
links = get_all_website_links(url)
for link in links:
if total_urls_visited > max_urls:
break
crawl(link, max_urls=max_urls)
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser(description="Link Extractor Tool with Python")
parser.add_argument("url", help="The URL to extract links from.")
parser.add_argument("-m", "--max-urls", help="Number of max URLs to crawl, default is 30.", default=30, type=int)
args = parser.parse_args()
url = args.url
max_urls = args.max_urls
# domain name of the URL without the protocol
domain_name = urlparse(url).netloc
crawl(url, max_urls=max_urls)
# save the internal links to a file
with open(f"{domain_name}_internal_links.txt", "w") as f:
for internal_link in internal_urls:
print(internal_link.strip(), file=f)
# save the external links to a file
with open(f"{domain_name}_external_links.txt", "w") as f:
for external_link in external_urls:
print(external_link.strip(), file=f)
我已经在许多网站上测试了脚本,它工作得很好。但过了一段时间,我得到一个错误(许多不同的错误),脚本停止。
例如:
requests.exceptions.InvalidSchema: No connection adapters were found for
是否有一种错误不可知的方法来保持脚本运行?
requests.exceptions。InvalidSchema:
没有找到连接适配器
根据错误信息,您需要包含协议模式,因为没有http://
或https://
部分,请求无法连接到远程服务器。
尝试打印您的请求url,以防出现错误,以获得特定的信息。
在较新的代码中避免旧的语法findAll()
而使用find_all()
或select()
与css selectors
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