Python 遍歷網頁代碼抓取文字和圖片

Python 遍歷網頁代碼抓取文字和圖片

通過python的幾個工具requests，beautifulSoup，json, Pool暴力遍歷url抓取內容

• 獲取全量的文字和圖片鏈接
• 獲取圖片

獲取全量的文字和圖片鏈接

#!/usr/bin/python
#-*- coding:utf-8 -*-
import requests
import bs4
from multiprocessing import Pool
import json
import time
##地址就補貼了。哈哈
url_root = 'xxxx'

def geturl(num):
    return url_root + str(num);

def geturls(num):
    return map(geturl, range(14,num));

def getdata(url):
    datalist={}
    response = requests.get(url)
    if response.status_code != 200 :
        return {"noValue":"noValue"}

    soup = bs4.BeautifulSoup(response.text, "html.parser")
    ## 獲取index
    datalist['index'] = soup.title.string[4:8].encode('utf-8')
    ## 獲取內容
    for meta in soup.select('meta'):
        if meta.get('name') == 'description':
            datalist['content'] = meta.get('content').encode('utf-8')
    ##獲取圖片
    datalist['img'] = soup.find_all('img')[1]['src'].encode('utf-8')
    return datalist

if __name__ == '__main__':
    pool = Pool(processes=10)
    datalist = []
    urls = geturls(1314);
    start = time.time()
    datalist = pool.map(getdata, urls)
    end = time.time()
    print 'use:%.2f s' %(end -start)
    jsondata = json.dumps({'data':datalist}, ensure_ascii=False)
    with open('data.txt','w' ) as outfile:
        outfile.write(jsondata)
        outfile.close()

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獲取圖片

解析第一個script得到的格式化內容，通過pool併發的區下載圖片

#!/usr/bin/python
#-*- coding:utf-8 -*-
import json
import requests
from multiprocessing import Pool

def downImge(imgurl):
    file_name = imgurl.split('/')[len(imgurl.split('/')) -1 ]
    response = requests.get(imgurl, stream=True)
    if response.status_code == 200 :
        with open("image/"+file_name, 'w') as f:
            f.write(response.content)

if __name__ == "__main__":
    datalist = []
    with open('data.txt', 'r') as f:
        datalist = json.loads(f.read())
        f.close()
    imglist = []
    for item in datalist['data']:
        if item.has_key('img'):
            imglist.append(item['img'])

    pool = Pool(10)
    pool.map(downImge, imglist)

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