Python Ajax爬虫案例分享
作者:BoBo yeah
这篇文章主要介绍了Python Ajax爬虫案例分享,文章会从街拍链接里面爬取图片结构,下面文章对正在学习的你有一定的帮助,需要的小伙伴可以参考一下
1. 抓取街拍图片
2. 分析街拍图片结构
keyword: 街拍 pd: atlas dvpf: pc aid: 4916 page_num: 1 search_json: {"from_search_id":"20220104115420010212192151532E8188","origin_keyword":"街拍","image_keyword":"街拍"} rawJSON: 1 search_id: 202201041159040101501341671A4749C4
可以找到规律,page_num从1
开始累加,其他参数不变
3. 按功能不同编写不同方法组织代码
3.1 获取网页json格式数据
def get_page(page_num): global headers headers = { 'Host': 'so.toutiao.com', #'Referer': 'https://so.toutiao.com/search?keyword=%E8%A1%97%E6%8B%8D&pd=atlas&dvpf=pc&aid=4916&page_num=0&search_json={%22from_search_id%22:%22202112272022060101510440283EE83D67%22,%22origin_keyword%22:%22%E8%A1%97%E6%8B%8D%22,%22image_keyword%22:%22%E8%A1%97%E6%8B%8D%22}', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36', 'X-Requested-With': 'XMLHttpRequest', 'Cookie': 'msToken=S0DFBkZ9hmyLOGYd3_QjhhXgrm38qTyOITnkNb0t_oavfbVxuYV1JZ0tT5hLgswSfmZLFD6c2lONm_5TomUQXVXjen7CIxM2AGwbhHRYKjhg; _S_DPR=1.5; _S_IPAD=0; MONITOR_WEB_ID=7046351002275317255; ttwid=1%7C0YdWalNdIiSpIk3CvvHwV25U8drq3QAj08E8QOApXhs%7C1640607595%7C720e971d353416921df127996ed708931b4ae28a0a8691a5466347697e581ce8; _S_WIN_WH=262_623' } params = { 'keyword': '街拍', 'pd': 'atlas', 'dvpf': 'pc', 'aid': '4916', 'page_num': page_num, 'search_json': '%7B%22from_search_id%22%3A%22202112272022060101510440283EE83D67%22%2C%22origin_keyword%22%3A%22%E8%A1%97%E6%8B%8D%22%2C%22image_keyword%22%3A%22%E8%A1%97%E6%8B%8D%22%7D', 'rawJSON': 1, 'search_id': '2021122721183101015104402851E3883D' } url = 'https://so.toutiao.com/search?' + urlencode(params) print(url) try: response=requests.get(url,headers=headers,params=params) if response.status_code == 200: #if response.content: #print(response.json()) return response.json() except requests.ConnectionError: return None
3.2 从json格式数据提取街拍图片
def get_images(json): images = json.get('rawData').get('data') for image in images: link = image.get('img_url') yield link
3.3 将街拍图片以其md5码命名并保存图片
实现一个保存图片的方法save_image()
,其中 item 就是前面 get_images() 方法返回的一个字典。在该方法中,首先根据 item
的 title 来创建文件夹,然后请求这个图片链接,获取图片的二进制数据,以二进制的形式写入文件。图片的名称可以使用其内容的 MD5 值,这样可以去除重复。相关
代码如下:
def save_image(link): data = requests.get(link).content with open(f'./image/{md5(data).hexdigest()}.jpg', 'wb')as f:#使用data的md5码作为图片名 f.write(data)
3.4 main()调用其他函数
def main(page_num): json = get_page(page_num) for link in get_images(json): #print(link) save_image(link)
4 抓取20page今日头条街拍图片数据
这里定义了分页的起始页数和终止页数,分别为GROUP_START
和 GROUP_END
,还利用了多线程的线程池,调用其 map() 方法实现程下载。
if __name__ == '__main__': GROUP_START = 1 GROUP_END = 20 pool = Pool() groups = ([x for x in range(GROUP_START, GROUP_END + 1)]) #print(groups) pool.map(main, groups) pool.close() pool.join()
import requests from urllib.parse import urlencode from hashlib import md5 from multiprocessing.pool import Pool def get_page(page_num): global headers headers = { 'Host': 'so.toutiao.com', #'Referer': 'https://so.toutiao.com/search?keyword=%E8%A1%97%E6%8B%8D&pd=atlas&dvpf=pc&aid=4916&page_num=0&search_json={%22from_search_id%22:%22202112272022060101510440283EE83D67%22,%22origin_keyword%22:%22%E8%A1%97%E6%8B%8D%22,%22image_keyword%22:%22%E8%A1%97%E6%8B%8D%22}', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36', 'X-Requested-With': 'XMLHttpRequest', 'Cookie': 'msToken=S0DFBkZ9hmyLOGYd3_QjhhXgrm38qTyOITnkNb0t_oavfbVxuYV1JZ0tT5hLgswSfmZLFD6c2lONm_5TomUQXVXjen7CIxM2AGwbhHRYKjhg; _S_DPR=1.5; _S_IPAD=0; MONITOR_WEB_ID=7046351002275317255; ttwid=1%7C0YdWalNdIiSpIk3CvvHwV25U8drq3QAj08E8QOApXhs%7C1640607595%7C720e971d353416921df127996ed708931b4ae28a0a8691a5466347697e581ce8; _S_WIN_WH=262_623' } params = { 'keyword': '街拍', 'pd': 'atlas', 'dvpf': 'pc', 'aid': '4916', 'page_num': page_num, 'search_json': '%7B%22from_search_id%22%3A%22202112272022060101510440283EE83D67%22%2C%22origin_keyword%22%3A%22%E8%A1%97%E6%8B%8D%22%2C%22image_keyword%22%3A%22%E8%A1%97%E6%8B%8D%22%7D', 'rawJSON': 1, 'search_id': '2021122721183101015104402851E3883D' } url = 'https://so.toutiao.com/search?' + urlencode(params) print(url) try: response=requests.get(url,headers=headers,params=params) if response.status_code == 200: #if response.content: #print(response.json()) return response.json() except requests.ConnectionError: return None def get_images(json): images = json.get('rawData').get('data') for image in images: link = image.get('img_url') yield link def save_image(link): data = requests.get(link).content with open(f'./image/{md5(data).hexdigest()}.jpg', 'wb')as f:#使用data的md5码作为图片名 f.write(data) def main(page_num): json = get_page(page_num) for link in get_images(json): #print(link) save_image(link) if __name__ == '__main__': GROUP_START = 1 GROUP_END = 20 pool = Pool() groups = ([x for x in range(GROUP_START, GROUP_END + 1)]) #print(groups) pool.map(main, groups) pool.close() pool.join()
到此这篇关于Python Ajax爬虫案例分享的文章就介绍到这了,更多相关Python Ajax爬虫内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!
您可能感兴趣的文章:
- Python7个爬虫小案例详解(附源码)下篇
- Python7个爬虫小案例详解(附源码)中篇
- Python7个爬虫小案例详解(附源码)上篇
- 利用Python爬虫爬取金融期货数据的案例分析
- Python爬虫采集Tripadvisor数据案例实现
- Python爬虫入门案例之爬取去哪儿旅游景点攻略以及可视化分析
- Python爬虫入门案例之爬取二手房源数据
- Python爬虫入门案例之回车桌面壁纸网美女图片采集
- Python爬虫之Scrapy环境搭建案例教程
- 用Python爬虫破解滑动验证码的案例解析
- python爬虫系列网络请求案例详解
- python爬虫破解字体加密案例详解
- python爬虫线程池案例详解(梨视频短视频爬取)
- python爬虫scrapy框架的梨视频案例解析
- python爬虫利器之requests库的用法(超全面的爬取网页案例)
- Python爬虫实战案例之爬取喜马拉雅音频数据详解
- Python爬虫Scrapy框架CrawlSpider原理及使用案例
- Python爬虫之对CSDN榜单进行分析