Golang网络爬虫框架gocolly/colly（三）

本文主要是介绍Golang网络爬虫框架gocolly/colly（三），希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！

熟悉了《Golang 网络爬虫框架gocolly/colly 一》和《Golang 网络爬虫框架gocolly/colly 二》之后就可以在网络上爬取大部分数据了。本文接下来将爬取中证指数有限公司提供的行业市盈率。（http://www.csindex.com.cn/zh-CN/downloads/industry-price-earnings-ratio）
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定义数据结构体：

type ZhjhHyShyl struct {Hydm string        `json:"行业代码"`Hymc string        `json:"行业名称"`Zxsj *float64      `json:"最新数据"`Gpjs int           `json:"股票家数"`Ksjs int           `json:"亏损家数"`Jygy *float64      `json:"近一个月"`Jsgy *float64      `json:"近三个月"`Jlgy *float64      `json:"近六个月"`Jyn  *float64      `json:"近一年"`Zhy  []*ZhjhHyShyl `json:"细分行业"`
}

接下来为gocolly调用准备，将用户代理设置为Chrome浏览器，该值可以通过Fiddler工具查看：

c.UserAgent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 Edge/16.16299"

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还可以利用Fiddler设置更多的Request Header，将爬虫工具伪装成浏览器。

接下来F12调用浏览器调试器查看目标数据的元素，拷贝jQuery选择器，然后改成相对路径。
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完成所有的数据抓取代码:

package mainimport ("encoding/json""fmt""log""strconv""strings""github.com/PuerkitoBio/goquery""github.com/gocolly/colly"
)//证监会行业市盈率
type ZhjhHyShyl struct {Hydm string        `json:"行业代码"`Hymc string        `json:"行业名称"`Zxsj *float64      `json:"最新数据"`Gpjs int           `json:"股票家数"`Ksjs int           `json:"亏损家数"`Jygy *float64      `json:"近一个月"`Jsgy *float64      `json:"近三个月"`Jlgy *float64      `json:"近六个月"`Jyn  *float64      `json:"近一年"`Zhy  []*ZhjhHyShyl `json:"细分行业"`
}func main() {var err errorc := colly.NewCollector()c.UserAgent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 Edge/16.16299"zjhHyShyl := make([]*ZhjhHyShyl, 0)c.OnRequest(func(r *colly.Request) {fmt.Printf("%+v\r\n%+v\r\n", *r, *(r.Headers))})c.OnHTML("td>table.list-div-table>tbody>tr", func(e *colly.HTMLElement) {hyShy := ZhjhHyShyl{Hydm: e.ChildText("td:first-child"),Hymc: e.ChildText("td:nth-child(2)"),}zxsj, err := strconv.ParseFloat(e.ChildText("td:nth-child(3)"), 64)if err == nil {hyShy.Zxsj = &zxsj}gpjs, err := strconv.ParseInt(e.ChildText("td:nth-child(4)"), 10, 32)if err == nil {hyShy.Gpjs = int(gpjs)}ksjs, err := strconv.ParseInt(e.ChildText("td:nth-child(5)"), 10, 32)if err == nil {hyShy.Ksjs = int(ksjs)}jygy, err := strconv.ParseFloat(e.ChildText("td:nth-child(6)"), 64)if err == nil {hyShy.Jygy = &jygy}jsgy, err := strconv.ParseFloat(e.ChildText("td:nth-child(7)"), 64)if err == nil {hyShy.Jsgy = &jsgy}jlgy, err := strconv.ParseFloat(e.ChildText("td:nth-child(8)"), 64)if err == nil {hyShy.Jlgy = &jlgy}jyn, err := strconv.ParseFloat(e.ChildText("td:nth-child(9)"), 64)if err == nil {hyShy.Jyn = &jyn}zjhHyShyl = append(zjhHyShyl, &hyShy)hyShy.Zhy = make([]*ZhjhHyShyl, 0)e.DOM.Parent().Parent().Next().Find("table.list-div-table>tbody>tr").Each(func(_ int, s *goquery.Selection) {zhy := ZhjhHyShyl{Hydm: strings.Trim(s.Find("td:nth-child(1)").Text(), "\r\n\t "),Hymc: strings.Trim(s.Find("td:nth-child(2)").Text(), "\r\n\t "),}zxsj, err := strconv.ParseFloat(strings.Trim(s.Find("td:nth-child(3)").Text(), "\r\n\t "), 64)if err == nil {zhy.Zxsj = &zxsj}gpjs, err := strconv.ParseInt(strings.Trim(s.Find("td:nth-child(4)").Text(), "\r\n\t "), 10, 32)if err == nil {zhy.Gpjs = int(gpjs)}ksjs, err := strconv.ParseInt(strings.Trim(s.Find("td:nth-child(5)").Text(), "\r\n\t "), 10, 32)if err == nil {zhy.Ksjs = int(ksjs)}jygy, err := strconv.ParseFloat(strings.Trim(s.Find("td:nth-child(6)").Text(), "\r\n\t "), 64)if err == nil {zhy.Jygy = &jygy}jsgy, err := strconv.ParseFloat(strings.Trim(s.Find("td:nth-child(7)").Text(), "\r\n\t "), 64)if err == nil {zhy.Jsgy = &jsgy}jlgy, err := strconv.ParseFloat(strings.Trim(s.Find("td:nth-child(8)").Text(), "\r\n\t "), 64)if err == nil {zhy.Jlgy = &jlgy}jyn, err := strconv.ParseFloat(strings.Trim(s.Find("td:nth-child(9)").Text(), "\r\n\t "), 64)if err == nil {zhy.Jyn = &jyn}hyShy.Zhy = append(hyShy.Zhy, &zhy)})})c.OnScraped(func(_ *colly.Response) {bData, _ := json.MarshalIndent(zjhHyShyl, "", "\t")fmt.Println(string(bData))})err = c.Visit("http://www.csindex.com.cn/zh-CN/downloads/industry-price-earnings-ratio?date=2017-12-27&type=zjh1")if err != nil {log.Fatal(err)}
}

运行后的部分结果：

{"行业代码": "D","行业名称": "电力、热力、燃气及水的生产和供应业","最新数据": 20.12,"股票家数": 107,"亏损家数": 5,"近一个月": 19.51,"近三个月": 19.7,"近六个月": 19.87,"近一年": 18.9,"细分行业": [{"行业代码": "44","行业名称": "电力、热力生产和供应业","最新数据": 18.75,"股票家数": 70,"亏损家数": 3,"近一个月": 18.28,"近三个月": 18.43,"近六个月": 18.55,"近一年": 17.44,"细分行业": null}, {"行业代码": "45","行业名称": "燃气生产和供应业","最新数据": 28.4,"股票家数": 22,"亏损家数": 2,"近一个月": 25.71,"近三个月": 25.33,"近六个月": 25.38,"近一年": 27.24,"细分行业": null}, {"行业代码": "46","行业名称": "水的生产和供应业","最新数据": 27.78,"股票家数": 15,"亏损家数": 0,"近一个月": 27.88,"近三个月": 29.33,"近六个月": 30.56,"近一年": 29.64,"细分行业": null}]
}