Python爬取Json数据,Python,Json数据
后端开发-Python教程
Python教学栏目介绍爬取Json数据实例下金理财源码,ubuntu登录界面在哪,爬虫做职业调查,php多人访问,seo.jinhyeoklzw
本文中以爬取其中的AI流转率数据为例。08分目录源码,ubuntu远程屏幕共享,python 非阻塞爬虫,php mtqq,seo416lzw
该地址返回的响应内容为Json类型，其中红框标记的项即为AI流转率值：大富翁源码c,vscode 语法 着色,如何找到下载好的ubuntu,重复安装Tomcat,sqlite实现递归查询,wap上传插件,什么是前端响应式框架,企业微信爬虫软件,php 实验,seo_yoon,礼品定制网站源码,pos机网页模板,html静态模板免费下载,lcd12864串口程序lzw
实现代码如下：
import requestsimport jsonimport csv # 爬虫地址url = 'https://databank.yushanfang.com/api/ecapi?path=/databank/crowdFullLink/flowInfo&fromCrowdId=3312&beginTheDate=201810{}&endTheDate=201810{}&toCrowdIdList[0]=3312&toCrowdIdList[1]=3313&toCrowdIdList[2]=3314&toCrowdIdList[3]=3315' # 携带cookie进行访问headers = {'Host':'databank.yushanfang.com','Referer':'https://databank.yushanfang.com/','Connection':'keep-alive','User-Agent':'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36','Cookie':'_tb_token_=iNkDeJLdM3MgvKjhsfdW; bs_n_lang=zh_CN; cna=aaj1EViI7x0CATo9kTKvjzgS; ck2=072de851f1c02d5c7bac555f64c5c66d; c_token=c74594b486f8de731e2608cb9526a3f2; an=5YWo5qOJ5pe25Luj5a6Y5pa55peX6Iiw5bqXOnpmeA%3D%3D; lg=true; sg=\"=19\"; lvc=sAhojs49PcqHQQ%3D%3D; isg=BPT0Md7dE_ic5Ie3Oa85RxaMxbLK3UqJMMiN6o5VjH8C-ZRDtt7aRXb3fXGEAVAP',} rows = []for n in range(20, 31): row = [] row.append(n) for m in range (21, 32): if m < n + 1: row.append("") else: # 格式化请求地址，更换请求参数 reqUrl = url.format(n, m) # 打印本次请求地址 print(url) # 发送请求，获取响应结果 response = requests.get(url=reqUrl, headers=headers, verify=False) text = response.text # 打印本次请求响应内容 print(text) # 将响应内容转换为Json对象 jsonobj = json.loads(text) # 从Json对象获取想要的内容 toCntPercent = jsonobj['data']['interCrowdInfo'][1]['toCntPercent'] # 生成行数据 row.append(str(toCntPercent)+"%") # 保存行数据 rows.append(row) # 生成Excel表头header = ['AI流转率', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31'] # 将表头数据和爬虫数据导出到Excel文件with open('D:\\res\\pachong\\tmall.csv', 'w', encoding='gb18030') as f : f_csv = csv.writer(f) f_csv.writerow(header) f_csv.writerows(rows)import csvimport jsonimport sslimport urllib.request # 爬虫地址url = 'https://databank.yushanfang.com/api/ecapi?path=/databank/crowdFullLink/flowInfo&fromCrowdId=3312&beginTheDate=201810{}&endTheDate=201810{}&toCrowdIdList[0]=3312&toCrowdIdList[1]=3313&toCrowdIdList[2]=3314&toCrowdIdList[3]=3315' # 不校验证书ssl._create_default_https_context = ssl._create_unverified_context # 携带cookie进行访问headers = {'Host':'databank.yushanfang.com','Referer':'https://databank.yushanfang.com/','Connection':'keep-alive','User-Agent':'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36','Cookie':'_tb_token_=iNkDeJLdM3MgvKjhsfdW; bs_n_lang=zh_CN; cna=aaj1EViI7x0CATo9kTKvjzgS; ck2=072de851f1c02d5c7bac555f64c5c66d; c_token=c74594b486f8de731e2608cb9526a3f2; an=5YWo5qOJ5pe25Luj5a6Y5pa55peX6Iiw5bqXOnpmeA%3D%3D; lg=true; sg=\"=19\"; lvc=sAhojs49PcqHQQ%3D%3D; isg=BPT0Md7dE_ic5Ie3Oa85RxaMxbLK3UqJMMiN6o5VjH8C-ZRDtt7aRXb3fXGEAVAP',} rows = []n = 20while n <31: row = [] row.append(n) m =21 while m <32: if m < n + 1: row.append("") else: # 格式化请求地址，更换请求参数 reqUrl = url.format(n, m) # 打印本次请求地址 print(reqUrl) # 发送请求，获取响应结果 request = urllib.request.Request(url=reqUrl, headers=headers) response = urllib.request.urlopen(request) text = response.read().decode('utf8') # 打印本次请求响应内容 print(text) # 将响应内容转换为Json对象 jsonobj = json.loads(text) # 从Json对象获取想要的内容 toCntPercent = jsonobj['data']['interCrowdInfo'][1]['toCntPercent'] # 生成行数据 row.append(str(toCntPercent) + "%") m = m+1 rows.append(row) n = n+1 # 生成Excel表头header = ['AI流转率', '21', '22', '23', '24', '25', '26', '27', '28', '29', '30', '31'] # 将表头数据和爬虫数据导出到Excel文件with open('D:\\res\\pachong\\tmall.csv', 'w', encoding='gb18030') as f : f_csv = csv.writer(f) f_csv.writerow(header) f_csv.writerows(rows)导出内容如下：
到此这篇关于使用Python爬取Json数据的文章就介绍到这了。