python - 优化我的 Python Scraper

Question

这是一个冗长的问题，我可能只需要有人为我指明正确的方向。我正在构建一个网络抓取工具来从 ESPN 的网站上获取篮球运动员的信息。 URL 结构非常简单，因为每张玩家卡片在 URL 中都有一个特定的 ID。为了获取信息，我正在编写一个从 1-~6000 的循环来从他们的数据库中抓取玩家。我的问题是是否有更有效的方法来做到这一点？

from bs4 import BeautifulSoup
from urllib2 import urlopen
import requests 
import nltk
import re




age = [] # Empty List to store player ages

BASE = 'http://espn.go.com/nba/player/stats/_/id/' # Base Structure of Player Card URL
def get_age(BASE): #Creates a function
    #z = range(1,6000) # Create Range from 1 to 6000
    for i in range(1, 6000): # This is a for loop
        BASE_U = BASE + str(i) + '/' # Create URL For Player   
        r = requests.get(BASE_U)
        soup = BeautifulSoup(r.text)
        #Prior to this step, I had to print out the soup object and look through the HTML in order to find the tag that contained my desired information 
        # Get Age of Players        
        age_tables = soup.find_all('ul', class_="player-metadata") # Grabs all text in the metadata tag
        p = str(age_tables) # Turns text into a string
    #At this point I had to look at all the text in the p object and determine a way to capture the age info
        if "Age: " not in p: # PLayer ID doesn't exist so go to next to avoid error
        continue
        else:
            start = p.index("Age: ") + len("Age: ") # Gets the location of the players age 
            end = p[start:].index(")") + start  
            player_id.append(i) #Adds player_id to player_id list
            age.append(p[start:end]) # Adds player's age to age list

get_age(BASE)

任何帮助，即使是很小的帮助，我们都将不胜感激。即使它只是给我指明了正确的方向，也不一定是直接的解决方案

谢谢，本

Answer 1

就像网络安全中的端口扫描器，多线程会大大加快你的编程速度。