python获取新发地菜价信息

北京市丰台区新发地是一个商品批发市场品牌称号。北京有两家市场使用了该称号，一是北京新发地农产品中心批发市场。二是北京新发地国际水产城。

我们查看网页源代码发现，其表格中的数据来自后台的post请求。

遂爬取之，代码如下：

import requests
import csv

url = "http://www.xinfadi.com.cn/getPriceData.html"
dic = {
    "limit": "",
    "current": "",
    "pubDateStartTime": "",
    "pubDateEndTime": "",
    "prodPcatid": "",
    "prodCatid": "",
    "prodName": "",
}
r1 = requests.post(url, data=dic)
resp = r1.json()
print(resp)
all_count = int(resp["count"])
limit = int(resp["limit"])
all_page_number = int(all_count / limit)

with open("新发地菜价.csv", mode="a+", newline='') as f:
    csvwriter = csv.writer(f)

    for i in range(1, all_page_number):
        dic1 = {
            "limit": limit,
            "current": i,
            "pubDateStartTime": "",
            "pubDateEndTime": "",
            "prodPcatid": "",
            "prodCatid": "",
            "prodName": "",
        }
        r1 = requests.post(url, data=dic)
        list = resp["list"]
        count = list
        for iter in list:
            prodName = iter["prodName"]
            avgPrice = iter["avgPrice"]
            highPrice = iter["highPrice"]
            lowPrice = iter["lowPrice"]
            place = iter["place"]
            prodCat = iter["prodCat"]
            pubDate = iter["pubDate"]
            unitInfo = iter["unitInfo"]
            csvwriter.writerow([prodName, avgPrice, highPrice, lowPrice, place, prodCat, pubDate, unitInfo])
print("Over")

因为这个数据量比较大 同步爬取的效率会比较低，大概会花费几十分钟时间。结果如下：