Python爬取百度图片，教你动态数据抓包

r囧r小猫 2022-11-09 14:10 229阅读 0赞

# 前言 #

对于刚入门爬虫的小白来说，对于动态加载网页很是头疼，动态加载是各大网站最基础的一种反扒手段，今天就以百度图片爬取为例，带大家感受一下动态爬虫的关键所在，也就是Ajax请求抓包分析，本文仅供参考学习使用！

以下文章来源于Python代码大全，作者 Python代码狂人

Python爬虫、数据分析、网站开发等案例教程视频免费在线观看

https://space.bilibili.com/523606542

# [Python学习交流群：1039649593][Python_1039649593] #

# 1.抓取目标： #

百度NBA图片

![Python爬取百度图片，教你动态数据抓包][Python]

# 2.抓取结果 #

![Python爬取百度图片，教你动态数据抓包][Python 1]

# 3.详细步骤分析 #

（1）对于分析是不是动态加载关键所在就是当滚动鼠标滑轮的时候，观察XHR里面的包有没有变化，如果说这里面包的数量有所更新，该页面就极有可能是动态请求，经分析的百度图片为动态加载。

![Python爬取百度图片，教你动态数据抓包][Python 2]

（2）找到动态加载包之后，我们分析该包的请求，其难点就是对查询参数的分析，在这里我建议大家至少找两组关键字进行对比，找出不同包的关键字区别，看出其变化规律（那棵树偷偷提醒一下大家，去寻找一个名为pn的查询参数）整个的动态其实都是他一人在操控。找到包之后进行request请求，在进行数据解析提取出图片url就OK了。（对于图片一定要写入二进制哦！）

![Python爬取百度图片，教你动态数据抓包][Python 3]

# 4.完整源代码 #

本次抓取需要用的工具包requests和json

import requests as rq
    import json
    import time
    import os
    count = 1
    
    def crawl(page):
        global count
        if not os.path.exists('E://桌面/NBA'):
            os.mkdir('E://桌面/NBA')
        url = 'https://image.baidu.com/search/acjson?'
        header = {
            # 'Referer': 'https://image.baidu.com/search/index?ct=201326592&cl=2&st=-1&lm=-1&nc=1&ie=utf-8&tn=baiduimage&ipn=r&rps=1&pv=&fm=rs4&word',
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.82 Safari/537.36'
        }
        param = {
        "tn": "resultjson_com",
        "logid": "11007362803069082764",
        "ipn": "rj",
        "ct": "201326592",
        "is": "",
        "fp": "result",
        "queryWord": "NBA",
        "cl": "2",
        "lm": "-1",
        "ie": "utf-8",
        "oe": "utf-8",
        "adpicid": "",
        "st": "-1",
        "z": "",
        "ic": "",
        "hd": "",
        "latest": "",
        "copyright": "",
        "word": "NBA",
        "s": "",
        "se": "",
        "tab": "",
        "width": "",
        "height": "",
        "face": "0",
        "istype": "2",
        "qc": "",
        "nc": "1",
        "fr": "",
        "expermode": "",
        "force": "",
        "pn": page,
        "rn": "30",
        "gsm": "1e",
        "1615565977798": "",
        }
        response = rq.get(url, headers=header, params=param)
        result = response.text
        # print(response.status_code)
        j = json.loads(result)
        # print(j)
        img_list = []
        for i in j['data']:
            if 'thumbURL' in i:
                # print(i['thumbURL'])
                img_list.append(i['thumbURL'])
        # print(len(img_list))
    
        for n in img_list:
            r = rq.get(n, headers=header)
            with open(f'E://桌面/NBA/{count}.jpg', 'wb') as f:
                f.write(r.content)
            count += 1
    
    
    if __name__ == '__main__':
        for i in range(30, 601, 30):
            t1 = time.time()
            crawl(i)
            t2 = time.time()
            t = t2 - t1
            print('page {0} is over!!!  耗时{1:.2f}秒！'.format(i//30, t))

[Python_1039649593]: https://jq.qq.com/?_wv=1027&k=SBLaYU2c
[Python]: /images/20221023/796e7129a639410bbfa7d2744e9d6ea8.png
[Python 1]: /images/20221023/e064c07d180d43cb93bf755790c10632.png
[Python 2]: /images/20221023/ed53c1779dca496992ec74bdfa7a4ffe.png
[Python 3]: /images/20221023/1284eda922034e5393bdabec31f22e8a.png