python图像爬虫

关键词搜索

import requests
import os
page = input('请输入要爬取多少页（每页30张图）：')
queryWord = input('请输入要爬取什么：')
# page = 300
# queryWord = '车内儿童座椅'
# 车内 内饰 车内副驾驶视角 真实车内图片 车内儿童座椅
page = int(page) + 1
header = {
    'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 11_1_0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36'
}
n = 0
pn = 1
# pn是从第几张图片获取 百度图片下滑时默认一次性显示30张
for m in range(1, page):
    print('page:%%d
' %% (m))
    url = 'https://image.baidu.com/search/acjson?'
    param = {
        'tn': 'resultjson_com',
        'logid': '8846269338939606587',
        'ipn': 'rj',
        'ct': '201326592',
        'is': '',
        'fp': 'result',
        'queryWord': queryWord,
        'cl': '2',
        'lm': '-1',
        'ie': 'utf-8',
        'oe': 'utf-8',
        'adpicid': '',
        'st': '-1',
        'z': '',
        'ic': '',
        'hd': '',
        'latest': '',
        'copyright': '',
        'word': queryWord,
        's': '',
        'se': '',
        'tab': '',
        'width': '',
        'height': '',
        'face': '0',
        'istype': '2',
        'qc': '',
        'nc': '1',
        'fr': '',
        'expermode': '',
        'force': '',
        'cg': 'girl',
        'pn': pn,  # 从第几张图片开始
        'rn': '30',  # 多少张图片
        'gsm': '1e',
    }
    page_text = requests.get(url=url, headers=header, params=param)
    page_text.encoding = 'utf-8'
    try:
        page_text = page_text.json()
    except:
        pn += 29
        continue

    info_list = page_text['data']
    del info_list[-1]
    img_path_list = []
    for i in info_list:
        img_path_list.append(i['thumbURL'])
    if(len(info_list) == 0):
        break
    for img_path in img_path_list:
        img_data = requests.get(url=img_path, headers=header).content
        save_path = './download/'+queryWord+'/' #保存路径
        if(not os.path.exists(save_path)):
            os.makedirs(save_path)
        img_path = save_path + str(n) + '.jpg'
        with open(img_path, 'wb') as fp:
            fp.write(img_data)
        n = n + 1

    pn += 29
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输入想要爬取的数量和关键词
运行效果:

以图搜图爬虫

1. 创建图像文件夹，把想要搜索的图像放在该文件夹下
   例如 在当前目录下创建’./false_neg/’
2. 运行img2img.py

import numpy as np
from urllib.parse import urlparse, parse_qs
import requests
import re
import os
import json

###############################################################
img_seed = "./false_neg/" #替换成自己的图像文件夹
###############################################################

img_ls = os.listdir(img_seed)
for img in img_ls:
    if('.jpg' not in img):
        continue
    img_path = img_seed+img
    data = {
        'image': open(img_path, 'rb')
    }
    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/68.0.3440.106 Safari/537.36'
    }
    r = requests.post(
        'https://graph.baidu.com/upload?tn=pc&from=pc&image_source=PC_UPLOAD_IMAGE_MOVE&range={%%22page_from%%22:%%20%%22shituIndex%%22}&extUiData%%5bisLogoShow%%5d=1', files=data, headers=headers).text

    url = json.loads(r)["data"]["url"]
    o = urlparse(url)
    q = parse_qs(o.query, True)
    sign = q['sign'][0]
    r1 = requests.get(url, headers=headers).text
    r0 = requests.get(
        "https://graph.baidu.com/ajax/pcsimi?sign={}".format(sign)).text

    l = json.loads(r0)["data"]["list"]
    img_path_list = []
    for i in l:
        img_path_list.append(i['thumbUrl'])

    n = 0
    for img_path in img_path_list:
        img_data = requests.get(url=img_path, headers=headers).content
        save_path = img_seed+img.split('.')[0]+'/' #保存路径
        if(not os.path.exists(save_path)):
            os.makedirs(save_path)
        img_path = save_path + img + str(n) + '.jpg'
        with open(img_path, 'wb') as fp:
            fp.write(img_data)
        n = n + 1
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