colly 在golang中的地位,比之scrapy在python的作用,都是爬虫界的大佬。本文用其抓取博文资讯, 从收集器实例配置,goQuery进行dom节点数据抓取,自动分页访问,到csv数据持久化,json控制台输出,全程简单直观。
Code
抓取数据入口为社区某用户博客列表页,比如 https://learnku.com/blog/pardon
package main
import (
"encoding/csv"
"encoding/json"
"log"
"os"
"regexp"
"strconv"
"strings"
"github.com/gocolly/colly"
)
// Article 抓取blog数据
type Article struct {
ID int `json:"id,omitempty"`
Title string `json:"title,omitempty"`
URL string `json:"url,omitempty"`
Created string `json:"created,omitempty"`
Reads string `json:"reads,omitempty"`
Comments string `json:"comments,omitempty"`
Feeds string `json:"feeds,omitempty"`
}
// 数据持久化
func csvSave(fName string, data []Article) error {
file, err := os.Create(fName)
if err != nil {
log.Fatalf("Cannot create file %q: %s\n", fName, err)
}
defer file.Close()
writer := csv.NewWriter(file)
defer writer.Flush()
writer.Write([]string{"ID", "Title", "URL", "Created", "Reads", "Comments", "Feeds"})
for _, v := range data {
writer.Write([]string{strconv.Itoa(v.ID), v.Title, v.URL, v.Created, v.Reads, v.Comments, v.Feeds})
}
return nil
}
func main() {
articles := make([]Article, 0, 200)
// 1.准备收集器实例
c := colly.NewCollector(
// 开启本机debug
// colly.Debugger(&debug.LogDebugger{}),
colly.AllowedDomains("learnku.com"),
// 防止页面重复下载
// colly.CacheDir("./learnku_cache"),
)
// 2.分析页面数据
c.OnHTML("div.blog-article-list > .event", func(e *colly.HTMLElement) {
article := Article{
Title: e.ChildText("div.content > div.summary"),
URL: e.ChildAttr("div.content a.title", "href"),
Feeds: e.ChildText("div.item-meta > a:first-child"),
}
// 查找同一集合不同子项
e.ForEach("div.content > div.meta > div.date>a", func(i int, el *colly.HTMLElement) {
switch i {
case 1:
article.Created = el.Attr("data-tooltip")
case 2:
// 用空白切割字符串
article.Reads = strings.Fields(el.Text)[1]
case 3:
article.Comments = strings.Fields(el.Text)[1]
}
})
// 正则匹配替换,字符串转整型
article.ID, _ = strconv.Atoi(regexp.MustCompile(`\d+`).FindAllString(article.URL, -1)[0])
articles = append(articles, article)
})
// 下一页
c.OnHTML("a[href].page-link", func(e *colly.HTMLElement) {
e.Request.Visit(e.Attr("href"))
})
// 启动
c.Visit("https://learnku.com/blog/pardon")
// 输出
csvSave("pardon.csv", articles)
enc := json.NewEncoder(os.Stdout)
enc.SetIndent("", " ")
enc.Encode(articles)
// 显示收集器的打印信息
log.Println(c)
}
Output
控制台输出
....
"id": 30604,
"title": "教程: TodoMVC 与 director 路由",
"url": "https://learnku.com/articles/30604",
"created": "2019-07-01 12:42:01",
"reads": "650",
"comments": "0",
"feeds": "0"
},
{
"id": 30579,
"title": "flaskr 进阶笔记",
"url": "https://learnku.com/articles/30579",
"created": "2019-06-30 19:01:04",
"reads": "895",
"comments": "0",
"feeds": "0"
},
{
"id": 30542,
"title": "教程 Redis+ flask+vue 在线聊天",
"url": "https://learnku.com/articles/30542",
"created": "2019-06-29 12:19:45",
"reads": "2760",
"comments": "1",
"feeds": "2"
}
]
2019/12/20 15:50:14 Requests made: 5 (5 responses) | Callbacks: OnRequest: 0, OnHTML: 2, OnResponse: 0, OnError: 0
csv 文本输出
ID,Title,URL,Created,Reads,Comments,Feeds
37991,ferret 爬取动态网页,https://learnku.com/articles/37991,2019-12-15 10:43:03,219,0,3
37803,匿名类 与 索引重建,https://learnku.com/articles/37803,2019-12-09 19:35:09,323,1,0
37476,大话并发,https://learnku.com/articles/37476,2019-12-08 21:17:55,612,0,4
37738,三元运算符,https://learnku.com/articles/37738,2019-12-08 09:44:36,606,0,0
37719,笔试之 模板变量替换,https://learnku.com/articles/37719,2019-12-07 18:30:42,843,0,0
37707,笔试之 连续数增维,https://learnku.com/articles/37707,2019-12-07 13:50:17,872,0,0
37616,笔试之 一行代码求重,https://learnku.com/articles/37616,2019-12-05 12:10:24,792,0,0
....
Colly
- 简洁API
- 快速(单个内核上> 1k请求/秒)
- 管理请求延迟和每个域的最大并发
- 自动cookie和会话处理
- 同步/异步/并行抓取
- 分布式爬虫
- 自动编码非unicode响应
- 支持 Robots.txt
- 支持 Google App Engine
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