可以从
XXXXXXXXXXXXXXXXXXXXXX/api/getdata_XXXXXXXXXXXXXp 这里获得数据
用post方法向这个地址传送以下参数：
city:"5p2t5bee" //"杭州"的base64编码
type:"SE9VUg==" //"HOUR"的base64编码
startTime:"MjAxNi0wMy0xMyAyMDowMDowMA==" //开始时间2016-03-13 20:00:00的编码
endTime:"MjAxNi0wMy0xNCAyMzowMDowMA==" //结束时间2016-03-14 23:00:00的编码
然后页面返回数据：
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
两次base64解码后得到：
<code class="lang-html">{"total":27,"rows":[{"time":"2016-03-13 20:00:00","aqi":"196","pm2_5":"147","pm10":"217","co":"1.501","no2":"77.000","o3":"35.000","so2":"30.000","rank":"351"},{"time":"2016-03-13 21:00:00","aqi":"185","pm2_5":"139","pm10":"206","co":"1.297","no2":"66.000","o3":"36.000","so2":"27.000","rank":"349"},{"time":"2016-03-13 22:00:00","aqi":"169","pm2_5":"128","pm10":"186","co":"1.137","no2":"58.000","o3":"38.000","so2":"22.000","rank":"347"},{"time":"2016-03-13 23:00:00","aqi":"170","pm2_5":"129","pm10":"185","co":"1.078","no2":"60.000","o3":"34.000","so2":"22.000","rank":"349"},{"time":"2016-03-14 00:00:00","aqi":"155","pm2_5":"118","pm10":"172","co":"0.999","no2":"54.000","o3":"40.000","so2":"20.000","rank":"337"},{"time":"2016-03-14 01:00:00","aqi":"122","pm2_5":"92","pm10":"133","co":"0.861","no2":"42.000","o3":"51.000","so2":"17.000","rank":"301"},{"time":"2016-03-14 02:00:00","aqi":"83","pm2_5":"61","pm10":"88","co":"0.784","no2":"28.000","o3":"73.000","so2":"13.000","rank":"217"},{"time":"2016-03-14 03:00:00","aqi":"72","pm2_5":"52","pm10":"74","co":"0.799","no2":"30.000","o3":"68.000","so2":"13.000","rank":"182"},{"time":"2016-03-14 04:00:00","aqi":"59","pm2_5":"42","pm10":"62","co":"0.796","no2":"31.000","o3":"63.000","so2":"13.000","rank":"136"},{"time":"2016-03-14 05:00:00","aqi":"58","pm2_5":"41","pm10":"61","co":"0.835","no2":"34.000","o3":"55.000","so2":"14.000","rank":"124"},{"time":"2016-03-14 06:00:00","aqi":"62","pm2_5":"44","pm10":"67","co":"0.831","no2":"35.000","o3":"51.000","so2":"14.000","rank":"142"},{"time":"2016-03-14 07:00:00","aqi":"69","pm2_5":"50","pm10":"79","co":"0.861","no2":"45.000","o3":"41.000","so2":"15.000","rank":"156"},{"time":"2016-03-14 08:00:00","aqi":"79","pm2_5":"58","pm10":"93","co":"0.892","no2":"49.000","o3":"46.000","so2":"20.000","rank":"176"},{"time":"2016-03-14 09:00:00","aqi":"87","pm2_5":"64","pm10":"98","co":"0.882","no2":"39.000","o3":"72.000","so2":"22.000","rank":"190"},{"time":"2016-03-14 10:00:00","aqi":"87","pm2_5":"64","pm10":"97","co":"0.894","no2":"38.000","o3":"84.000","so2":"23.000","rank":"185"},{"time":"2016-03-14 11:00:00","aqi":"93","pm2_5":"69","pm10":"101","co":"0.863","no2":"37.000","o3":"98.000","so2":"24.000","rank":"218"},{"time":"2016-03-14 12:00:00","aqi":"98","pm2_5":"73","pm10":"111","co":"0.872","no2":"33.000","o3":"113.000","so2":"22.000","rank":"247"},{"time":"2016-03-14 13:00:00","aqi":"113","pm2_5":"85","pm10":"128","co":"0.872","no2":"32.000","o3":"155.000","so2":"22.000","rank":"295"},{"time":"2016-03-14 14:00:00","aqi":"123","pm2_5":"93","pm10":"139","co":"0.893","no2":"33.000","o3":"141.000","so2":"22.000","rank":"314"},{"time":"2016-03-14 15:00:00","aqi":"130","pm2_5":"99","pm10":"147","co":"0.866","no2":"32.000","o3":"147.000","so2":"20.000","rank":"326"},{"time":"2016-03-14 16:00:00","aqi":"137","pm2_5":"104","pm10":"155","co":"0.843","no2":"34.000","o3":"151.000","so2":"19.000","rank":"337"},{"time":"2016-03-14 17:00:00","aqi":"143","pm2_5":"109","pm10":"162","co":"0.833","no2":"38.000","o3":"147.000","so2":"19.000","rank":"340"},{"time":"2016-03-14 18:00:00","aqi":"144","pm2_5":"110","pm10":"162","co":"0.864","no2":"46.000","o3":"137.000","so2":"19.000","rank":"342"},{"time":"2016-03-14 19:00:00","aqi":"144","pm2_5":"110","pm10":"162","co":"0.884","no2":"56.000","o3":"118.000","so2":"17.000","rank":"337"},{"time":"2016-03-14 20:00:00","aqi":"147","pm2_5":"112","pm10":"168","co":"0.914","no2":"74.000","o3":"90.000","so2":"16.000","rank":"336"},{"time":"2016-03-14 21:00:00","aqi":"143","pm2_5":"109","pm10":"169","co":"0.910","no2":"70.000","o3":"79.000","so2":"15.000","rank":"325"},{"time":"2016-03-14 22:00:00","aqi":"134","pm2_5":"102","pm10":"158","co":"0.851","no2":"60.000","o3":"79.000","so2":"16.000","rank":"298"}]}杭州</code>就是所要的数据了。
个人认为用python来拉取比较方便。。
