Python大作网图片采集下载，多线程图片爬虫

#大作网采集
# -*- coding: UTF-8 -*-
import requests,time,json
from fake_useragent import UserAgent
from multiprocessing.dummy import Pool as ThreadPool

def ua():
    ua=UserAgent()
    headers={"User-Agent":ua.random}
    return headers

def get_list():
    img_urls=[]
    url="https://www.bigbigwork.com/q?w=texture%20patterns&c=%E7%BA%B9%E7%90%86&h=%E5%B7%A5%E4%B8%9A%E8%AE%BE%E8%AE%A1"
    response=requests.get(url,headers=ua(),timeout=6).content.decode('utf-8')
    time.sleep(1)
    response_dict=json.loads(response)
    print(len(response_dict['data']))
    datas=response_dict['data']
    for data in datas:
        img_urls.append(data['bUrl'])

    return img_urls

#单线程
def tps(img_urls):
    ua = UserAgent()
    headers = {
        'referer': 'https://www.bigbigwork.com/tupian/image/20148309331.html',
        'User-Agent': ua.random,
    }
    i=1
    for img_url in img_urls:
        r = requests.get(img_url,headers=headers,timeout=6)
        time.sleep(1)
        with open(f'{i}.jpg','wb')as f:
            f.write(r.content)
        print("下载图片成功")
        i=i+1


#多线程调用版本
def tp(img_url):
    ua = UserAgent()
    headers = {
        'referer': 'https://www.bigbigwork.com/tupian/image/20148309331.html',
        'User-Agent': ua.random,
    }
    img_name=img_url.split('/')[-1]
    r = requests.get(img_url,headers=headers,timeout=6)
    time.sleep(1)
    with open(img_name,'wb')as f:
        f.write(r.content)
    print(f"{img_name}下载图片成功")



def run():
    img_urls=get_list()
    try:
        # 开4个 worker，没有参数时默认是 cpu 的核心数
        pool = ThreadPool()
        results = pool.map(tp, img_urls)
        pool.close()
        pool.join()
        print("采集所有图片完成！")
    except:
        print("Error: unable to start thread")


if __name__=='__main__':
    run()