soup.find(xxxx) 如果文件过大无法写入,可使用requests.iter_content写 with open(filename, 'wb') as fd: for chunk in r.iter_content(chunk_size): fd.write(chunk) 这次soup.find(xxxx)找到了,并且文件里也是完整的html内容。 如果文件过大,soup = BeautifulSoup(html_handle,“lxml”) Beautifulsoup无法...
#当流下载时,下面是优先推荐的获取内容方式,iter_content()函数就是得到文件的内容,指定chunk_size=1024,大小可以自己设置哟,设置的意思就是下载一点流写一点流到磁盘中 f or chunk in res.iter_content(chunk_size=1024): if chunk: temp_size += len(chunk) file.write(chunk) file.flush() #刷新缓存##...
11、添加缓冲 with closing(requests.get(url, headers=header, stream=True)) as req: #关闭连接 with open(file_name,'wb') as f: \#打开文件 for chunk in req.iter_content(chunk_size=1024\*2): \#设置缓冲 if chunk: pbar.set_deion("【正在下载视频 %s】"%str(f.name)) f.write(chunk) ...
# 打印数据的长度 print("视频的数据长度为:", reponse_body_lenth) #path_1为完整文件保存路径 path_1 = path+t+'.mp4' # 保存抖音视频mp4格式,二进制读取 with open(path_1, "wb") as xh: # 先定义初始进度为0 write_all = 0 for chunk in r.iter_content(chunk_size=1000000): write_all +...
Why should I use iter_content and specially I'm really confused with the purpose using of chunk_size , as I have tried using it and in every way the file seems to be saved after downloading successfully. g = requests.get(url, stream=True) with open('c:/users/andriken/desktop...
withopen(filepath,'ab')asfp:fordatainresp.iter_content(chunk_size=1024): fp.write(data) 以上代码通过iter_content按块下载,块大小由参数chunk_size指定,然后将下载后的数据库写入到文件中。 而要做到断点续传, 则需要指定下载的header headers = {"Range":'bytes=%d-'% total_size,"User-Agent":"Moz...
iter_content[1] 函数本身也可以解码,只需要传入参数 decode_unicode = True 即可。 请注意,使用 iter_content 返回的字节数并不完全是 chunk_size,它是一个通常更大的随机数,并且预计在每次迭代中都会有所不同。 方法二 使用Response.raw[2] 和shutil.copyfileobj[3] ...
iter_lines:一行一行的遍历要下载的内容 使用上面两个函数下载大文件可以防止占用过多的内存,因为每次只下载小部分数据。 示例代码: r = requests.get(url_file, stream=True) f = open("file_path", "wb") for chunk in r.iter_content(chunk_size=512): # 按照块的大小读取 ...
使用Response类的接口iter_content(chunk_size=1)或者iter_lines(chunk_size=512)，chunk_size可以设置你...
for chunk in r.iter_content(chunk_size): f.write(chunk) self.getsize += chunk_size def main(self): start_time = time.time() f = open(self.name, 'wb') f.truncate(self.size) f.close() tp = ThreadPoolExecutor(max_workers=self.num) ...