由于毕设模仿知乎作了个网站,须要点数据,因此打算爬点知乎的数据,原本想经过python写个爬虫,可是发现go也有个挺好用的爬虫库——goquery,若是你学过前端,那你彻底能够在半个小时以内用goquery写出一个爬虫前端
goquery相似jquery,它是jquery的go语言版本实现,使用它,能够很方便对HTML进行处理。python
它能够经过HTML Element元素,也能够经过Id选择器,Class选择器,以及属性选择器去筛选数据mysql
github:https://github.com/PuerkitoBio/goqueryjquery
如下是我爬取知乎数据的demo代码git
package main import ( "fmt" "log" "net/http" "strconv" "strings" "github.com/PuerkitoBio/goquery" _ "github.com/go-sql-driver/mysql" ) func ExampleScrape() { for i := 321450693; i > 321450680; i-- { res, err := http.Get("https://www.zhihu.com/question/" + strconv.Itoa(i)) if err != nil || res.StatusCode != 200 { continue } doc, err := goquery.NewDocumentFromReader(res.Body) if err != nil { log.Fatal(err) } doc.Find(".QuestionHeader .QuestionHeader-content .QuestionHeader-main").Each(func(i int, s *goquery.Selection) { questionTitle := s.Find(".QuestionHeader-title").Text() questionContent := s.Find(".QuestionHeader-detail").Text() questionContent = questionContent[0 : len(questionContent)-12] fmt.Println("questionTitle:", questionTitle) fmt.Println("questionContent:", questionContent) }) doc.Find(".ContentItem-actions").Each(func(i int, s *goquery.Selection) { }) doc.Find(".ListShortcut .List .List-item ").Each(func(i int, s *goquery.Selection) { head_url, _ := s.Find("a img").Attr("src") author := s.Find(".AuthorInfo-head").Text() fmt.Println("head_url:", head_url) fmt.Println("author:", author) voters := s.Find(".Voters").Text() voters = strings.Split(voters, " ")[0] content := s.Find(".RichContent-inner").Text() //带标签的能够用Html() createTime := s.Find(".ContentItem-time").Text() createTime = strings.Split(createTime, " ")[1] commentCount := s.Find(".ContentItem-actions span").Text() fmt.Println("voters:", voters) fmt.Println("content:", content) fmt.Println("createTime:", createTime) fmt.Println("commentCount : ", commentCount) }) } } func main() { ExampleScrape() }