前言
在写nodejs爬虫的过程中,原网站可能会对某一时间段内集中访问该页面的ip进行封杀。那么如何动态设置每次爬取使用的ip地址以及浏览器头部信息呢?
动态userAgent
这是我收集到的常用的浏览器头部信息,每次爬取的时候从中随机选取一个,并使用superAgent设置请求头部的User-Agent字段就好了。
userAgent.js
const userAgents = [
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.0.12) Gecko/20070731 Ubuntu/dapper-security Firefox/1.5.0.12',
'Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0; Acoo Browser; SLCC1; .NET CLR 2.0.50727; Media Center PC 5.0; .NET CLR 3.0.04506)',
'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.56 Safari/535.11',
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_3) AppleWebKit/535.20 (KHTML, like Gecko) Chrome/19.0.1036.7 Safari/535.20',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.0.8) Gecko Fedora/1.9.0.8-1.fc10 Kazehakase/0.5.6',
'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.71 Safari/537.1 LBBROWSER',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Win64; x64; Trident/5.0; .NET CLR 3.5.30729; .NET CLR 3.0.30729; .NET CLR 2.0.50727; Media Center PC 6.0) ,Lynx/2.8.5rel.1 libwww-FM/2.14 SSL-MM/1.4.1 GNUTLS/1.2.9',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; .NET CLR 1.1.4322; .NET CLR 2.0.50727)',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; QQBrowser/7.0.3698.400)',
'Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; QQDownload 732; .NET4.0C; .NET4.0E)',
'Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:2.0b13pre) Gecko/20110307 Firefox/4.0b13pre',
'Opera/9.80 (Macintosh; Intel Mac OS X 10.6.8; U; fr) Presto/2.9.168 Version/11.52',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.8.0.12) Gecko/20070731 Ubuntu/dapper-security Firefox/1.5.0.12',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; LBBROWSER)',
'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.0.8) Gecko Fedora/1.9.0.8-1.fc10 Kazehakase/0.5.6',
'Mozilla/5.0 (X11; U; Linux; en-US) AppleWebKit/527+ (KHTML, like Gecko, Safari/419.3) Arora/0.6',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; .NET4.0E; QQBrowser/7.0.3698.400)',
'Opera/9.25 (Windows NT 5.1; U; en), Lynx/2.8.5rel.1 libwww-FM/2.14 SSL-MM/1.4.1 GNUTLS/1.2.9',
'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36'
]
module.exports = userAgents
app.js
import request from 'superagent'
import userAgents from '../src/userAgent'
async function doRequest(){
let userAgent = userAgents[parseInt(Math.random() * userAgents.length)]
request.get('http://www.xxx.com')
.set({ 'User-Agent': userAgent })
.timeout({ response: 5000, deadline: 60000 })
.end(async(err, res) => {
// 处理数据
})
}
动态ip
设置动态IP需要用到一个superagent插件—superagent-proxy,除此之外为了避免每次爬取时都去获取一次动态IP的列表,我将爬取到的动态IP列表存放在redis中,并设置10分钟的过期时间。数据过期之后再重新发送获取动态IP的请求。 ps: 这里我使用的动态IP是爬虫网络科技公司提供的免费代理,因为免费所以难免会有些缺陷。有时候使用他的代理ip并不能访问得通,我在后面会做单独的处理。
package.json
{
"name": "xxx",
"version": "1.0.0",
"description": "xxx",
"main": "arf.js",
"scripts": {
"arf": "nodemon src/app.js --exec babel-node --config package.json"
},
"keywords": [
"爬虫"
],
"author": "lidikang",
"license": "MIT",
"dependencies": {
"bluebird": "^3.5.1",
"cheerio": "^1.0.0-rc.2",
"eventproxy": "^1.0.0",
"mongoose": "^4.13.6",
"mongoose-findorcreate": "^2.0.0",
"progress": "^2.0.0",
"redis": "^2.8.0",
"superagent": "^3.8.1",
"superagent-proxy": "^1.0.2"
},
"devDependencies": {
"babel-cli": "^6.26.0",
"babel-preset-es2015": "^6.24.1",
"babel-preset-stage-2": "^6.24.1",
"nodemon": "^1.12.4"
},
"nodemonConfig": {
"ignore": [
"ips.json",
"docs/*"
],
"delay": "2500"
}
}
app.js
import request from 'superagent'
import requestProxy from 'superagent-proxy'
import redis from 'redis'
// superagent添加使用代理ip的插件
requestProxy(request)
// redis promise化
bluebird.promisifyAll(redis.RedisClient.prototype)
bluebird.promisifyAll(redis.Multi.prototype)
// 建立mongoose和redis连接
const redisClient = connectRedis()
/**
* 初始化redis
*/
function connectRedis() {
let client = redis.createClient(config.REDIS_URL)
client.on("ready", function(err) {
console.log('redis连接 √')
})
client.on("error", function(err) {
console.log(`redis错误,${err} ×`);
})
return client
}
/**
* 请求免费代理,读取redis,如果代理信息已经过期,重新请求免费代理请求
*/
async function getProxyIp() {
// 先从redis读取缓存ip
let localIpStr = await redisClient.getAsync('proxy_ips')
let ips = null
// 如果本地存在,则随机返回其中一个ip,否则重新请求
if (localIpStr) {
let localIps = localIpStr.split(',')
return localIps[parseInt(Math.random() * localIps.length)]
} else {
let ipsJson = (await request.get('http://api.pcdaili.com/?orderid=888888888&num=100&protocol=1&method=1&an_ha=1&sp1=1&sp2=1&format=json&sep=1')).body
let isRequestSuccess = false
if (ipsJson && ipsJson.data.proxy_list) {
ips = ipsJson.data.proxy_list
isRequestSuccess = true
} else {
ips = ['http://127.0.0.1']
}
// 将爬取结果存入本地,缓存时间10分钟
if (isRequestSuccess) {
redisClient.set("proxy_ips", ips.join(','), 'EX', 10 * 60)
}
return ips[parseInt(Math.random() * ips.length)]
}
}
async function doRequest(){
let userAgent = userAgents[parseInt(Math.random() * userAgents.length)]
let ip = await getProxyIp()
let useIp = 'http://' + ip
request.get('http://www.xxx.com')
.set({ 'User-Agent': userAgent })
.timeout({ response: 5000, deadline: 60000 })
.proxy(ip)
.end(async(err, res) => {
// 处理数据
})
}
之前说爬虫网络科技的免费ip有些缺陷—代理成功率有些低。这点必须想办法去修复,原理其实很简单,既然一次不成功那我就换个IP再试,直到成功了我才去开始执行解析html的逻辑
async function doRequest(){
let userAgent = userAgents[parseInt(Math.random() * userAgents.length)]
let ip = await getProxyIp()
let useIp = 'http://' + ip
request.get('http://www.xxx.com')
.set({ 'User-Agent': userAgent })
.timeout({ response: 5000, deadline: 60000 })
.proxy(ip)
.end(async(err, res) => {
if (err) {
console.log(`爬取页面失败,${err},正在重新寻找代理ip... ×`)
// 如果是代理ip无法访问,另外选择一个代理
doRequest('http://' + await getProxyIp(), userAgents[parseInt(Math.random() * userAgents.length)])
return
}
// 解析html
console.log('爬取页面 √')
await parseDivision(res.text)
})
}
如果你有啥疑问,欢迎写信到我的邮箱([email protected])与我讨论。
原文请查看http://andyliwr.github.io/2017/12/05/nodejs_spider_ip/
赞 👍
你可以试试控制并发请求数目来爬虫,比这代理 ip 简捷很多。
推荐几个库:
- 随机UA生成库:random-ua 或 modern-random-ua
- 爬虫库:crawler
@dkvirus 老哥 , 使用那个async 控制并发吗?这样不会提示访问频繁是吗
@jaxQin 使用的 async 库,我爬小说时并发数控制在 5,3400 多章的小说很顺利的趴下来了,速度还可以,关键是不用担心反爬机制。