python - 使用 BeautifulSoup 和 Requests 解析 html 页面源代码时内存泄漏

Question

因此，基本思想是通过使用 beautifulsoup 删除 HTML 标记和脚本，向某些列表 URL 发出获取请求并解析来自这些页面源的文本。 python 版本 2.7

问题是，在每次请求时，解析器函数都会在每次请求时不断添加内存。尺寸逐渐增大。

def get_text_from_page_source(page_source):
    soup = BeautifulSoup(open(page_source),'html.parser')
#     soup = BeautifulSoup(page_source,"lxml")
    # kill all script and style elements
    for script in soup(["script", "style"]):
        script.decompose()    # rip it out
    # get text
    text = soup.get_text()
    # break into lines and remove leading and trailing space on each
    lines = (line.strip() for line in text.splitlines())
    # break multi-headlines into a line each
    chunks = (phrase.strip() for line in lines for phrase in line.split("  "))
    # drop blank lines
    text = '\n'.join(chunk for chunk in chunks if chunk)

    # print text
    return text

甚至在本地文本文件解析内存泄漏。例如:

#request 1
response = requests.get(url,timeout=timeout)
parsed_string_from_html_source = get_text_from_page_source(response.content) #100 MB

#request 2
response = requests.get(url,timeout=timeout)
parsed_string_from_html_source = get_text_from_page_source(response.content) #150 MB
#request 3
response = requests.get(url,timeout=timeout)
parsed_string_from_html_source = get_text_from_page_source(response.content) #300 MB

Answer 1

你可以尝试调用垃圾收集器:

import gc
response.close()
response = None
gc.collect()

这也可能对您有所帮助:Python high memory usage with BeautifulSoup