Python 如何加快 aiohttp 解析器 bs4

任务是从站点获取数据.我有800个URL需要请求.但这需要很长时间.我用aiohttp.在这个阶段，我收到了很多链接，通过点击每个链接，我也得到了很多链接.我应用了aiohttp，但代码仍然很慢:390.9560036659241秒.很抱歉，如果这是一个简单的问题，但我对asyncio几乎没有经验，因此如果有人能提供帮助，我将不胜感激.谢谢

import json
import time
import requests
from bs4 import BeautifulSoup
import datetime
import csv
import asyncio
import aiohttp

iso_data = []
iso_list = []
iso_catalogue = []
iso_links = ''
start_time = time.time()


async def get_page_data(session, url):          #get links 256 from main page
    url = "https://www.iso.org/standards-catalogue/browse-by-tc.html"

    async with session.get(url=url) as response:
        response_text = await response.text()

        soup = BeautifulSoup(response_text, "lxml")
        iso_link = soup.find("tbody")

        for iso in iso_link.find_all("tr"):
            iso_url = iso.find('a').attrs['href']
            d = iso.find('a').text
            m = iso.find('td', {'data-title': 'Title'}).text

            try:
                level_2 = (f'{d}{m}').strip()
            except:
                level_2 = "nothing"
            iso_links = f'https://www.iso.org{iso_url}'
            iso_list.append(iso_links)
            iso_data.append({'level_1': 'tc', 'level_2': level_2})
        return iso_list


async def collect_data():                            #get 800 links
   
    async with aiohttp.ClientSession() as session:
        for i in iso_list:
            response = await session.get(url=i)
            soup = BeautifulSoup(await response.text(), "lxml")
            row = soup.find_all('td', attrs={'data-title': 'Subcommittee'})
            if row:
                for el in row:
                    a = el.find('a').attrs['href']
                    iso_catalogue.append(f'https://www.iso.org{a}')
            else:
                iso_catalogue.append(iso_links)
        return iso_catalogue


async def gather_data():
    url = "https://www.iso.org/standards-catalogue/browse-by-tc.html"
    async with aiohttp.ClientSession() as session:
        response = await session.get(url=url)
        soup = BeautifulSoup(await response.text(), "lxml")

        tasks = []

        task = asyncio.create_task(get_page_data(session, url))
        tasks.append(task)

        await asyncio.gather(*tasks)

async def worker_iso(q):

    for urls in out:
        while True:
            response = await q.get(urls)
            soup = BeautifulSoup(await response.text(), "lxml")
            for i in soup.find_all('tr', {'ng-show': 'pChecked || pChecked == null'}):
                a1 = i.find('a').attrs['href']
                iso_standarts = f'https://www.iso.org{a1}'
                iso_standart.append(iso_standarts)

            q.task_done()


def main():

    asyncio.run(gather_data())
    asyncio.run(collect_data())

    cur_time = datetime.datetime.now().strftime("%d_%m_%Y_%H_%M")

    finish_time = time.time() - start_time
    print(f"Spend time: {finish_time}")


if __name__ == "__main__":
    main()
 ``