How To Speed Up Parsing Using Beautifulsoup?

I want to make a list of music festivals in Korea, so I tried to crawl a website selling festival tickets: import requests from bs4 import BeautifulSoup INTERPARK_BASE_URL = 'http

Solution 1:

import requests
from bs4 import BeautifulSoup
import json
from datetime import datetime as dt
import csv


defSoup(content):
    soup = BeautifulSoup(content, 'html.parser')
    return soup


defMain(url):
    r = requests.get(url)
    soup = Soup(r.content)
    spans = soup.findAll('span', class_='fw_bold')
    links = [f"{url[:27]}{span.a['href']}"for span in spans]
    return links


defParent():
    links = Main(
        "http://ticket.interpark.com/TPGoodsList.asp?Ca=Liv&SubCa=Fes")
    withopen("result.csv", 'w', newline="", encoding="utf-8") as f:
        writer = csv.writer(f)
        writer.writerow(["Name", "Singers", "Location", "Date", "ImageUrl"])
        with requests.Session() as req:
            for link in links:
                r = req.get(link)
                soup = Soup(r.content)
                script = json.loads(
                    soup.find("script", type="application/ld+json").text)
                name = script["name"]
                print(f"Extracting: {name}")
                singers = script["performer"]["name"]
                location = script["location"]["name"]
                datelist = list(script.values())[3:5]
                datest = []
                image = script["image"]
                for date in datelist:
                    date = dt.strptime(date,
                                       '%Y%m%d').strftime('%d-%m-%Y')
                    datest.append(date)
                writer.writerow(
                    [name, singers, location, " : ".join(datest), *image])


Parent()

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View-Output