- 标题SpringBoot ES Jsoup实现JD搜索
项目效果
利用Jsoup爬虫爬取JD商城的商品信息，并将商品信息存储在ElasticSearch中，同时利用请求进行全文检索，同时完成高亮显示等功能。
2、工具简介Jsoup：jsoup 是一款Java 的Html解析器，可直接解析某个URL地址、HTML文本内容。它提供了一套非常省力的API，可通过DOM，CSS以及类似于jQuery的操作方法来取出和操作数据。
HttpClient：HttpClient 是Apache Jakarta Common 下一个子项目，可以用来提供高效的、最新的、功能丰富的支持 HTTP 协议的客户端编程工具包，并且它支持 HTTP 协议最新的版本和建议。
3、操作步骤3.1 创建SpringBoot项目
3.2 勾选对应的集成包
3.3 导入项目中需要的jar包依赖（这里需要注意Springboot版本与ES版本的冲突问题）
版本对应 ：
|
Spring Data Release Train |
Spring Data Elasticsearch |
Elasticsearch |
Spring Framework |
Spring Boot |
|
2021.2 (Raj) |
4.4.x |
7.17.4 |
5.3.x |
2.7.x |
|
2021.1 (Q) |
4.3.x |
7.15.2 |
5.3.x |
2.6.x |
|
2021.0 (Pascal) |
4.2.x[ 1 ] |
7.12.0 |
5.3.x |
2.5.x |
|
2020.0 (Ockham)[ 1 ] |
4.1.x[ 1 ] |
7.9.3 |
5.3.2 |
2.4.x |
|
Neumann[ 1 ] |
4.0.x[ 1 ] |
7.6.2 |
5.2.12 |
2.3.x |
|
Moore[ 1 ] |
3.2.x[ 1 ] |
6.8.12 |
5.2.12 |
2.2.x |
|
Lovelace[ 1 ] |
3.1.x[ 1 ] |
6.2.2 |
5.1.19 |
2.1.x |
|
Kay[ 1 ] |
3.0.x[ 1 ] |
5.5.0 |
5.0.13 |
2.0.x |
|
Ingalls[ 1 ] |
2.1.x[ 1 ] |
2.4.0 |
4.3.25 |
1.5.x |
需要导入maven依赖：
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.75</version>
</dependency>
<!--解析网页 jsoup 解析视频 tika-->
<dependency>
<groupId>org.jsoup</groupId>
<artifactId>jsoup</artifactId>
<version>1.13.1</version>
</dependency>
<dependency>
<groupId>cn.hutool</groupId>
<artifactId>hutool-all</artifactId>
<version>5.4.6</version>
</dependency>
<!-- HttpClient -->
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpclient</artifactId>
</dependency>
3.4 编写ES客户端配置类 ElasticSearchClientConfig (用于spring整体管理)
@Configuration
public class ElasticSearchClientConfig {
@Bean
public RestHighLevelClient restHighLevelClient(){
RestHighLevelClient restHighLevelClient = new RestHighLevelClient(
RestClient.builder(
new HttpHost("127.0.0.1", 9200)));
return restHighLevelClient;
}
}
3.5 编写爬虫工具类 HtmlParseUtil
//html解析工具类
public class HtmlParseUtil {
public static void main(String[] args) throws IOException {
List<Content> list = HtmlParseUtil.parseJDSearchKeyByPage("洗衣机", 2);
System.out.println(list.size());
}
public static List<Content> parseJDSearchKeyByPage(String key,int page) throws IOException {
List<Content> list = new ArrayList<>();
for (int i = 1; i <=page ; i ) {
List<Content> itemList = HtmlParseUtil.parseJDSearchKey(key, i);
list.addAll(itemList);
}
return list;
}
public static List<Content> parseJDSearchKey(String key,int page) throws IOException {
//拼接URL路径和请求参数
String url = UrlBuilder.create()
.setScheme("https")
.setHost("search.jd.com")
.addPath("Search")
.addQuery("keyword", key)
.addQuery("enc","utf-8")
.addQuery("page",String.valueOf(2*page-1)) //默认爬取前两页数据
.build();
URL url1 = new URL(url);
HttpURLConnection httpConn = (HttpURLConnection) url1.openConnection();
httpConn.setRequestMethod("GET");
/**
利用http模仿浏览器行为，防止被京东反爬虫程序
**/
httpConn.setRequestProperty("authority", "search.jd.com");
httpConn.setRequestProperty("accept", "text/html,application/xhtml xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9");
httpConn.setRequestProperty("accept-language", "zh-CN,zh;q=0.9");
httpConn.setRequestProperty("cache-control", "max-age=0");
httpConn.setRequestProperty("cookie", "__jdv=122270672|direct|-|none|-|1657610731752; __jdu=1657610731752947367087; pinId=zrLGvhk9izSm009P6x9LOw; pin=apple_ggUEIRS; unick=apple_ggUEIRS; ceshi3.com=000; _tp=70MDtYz0RbaKAAA4iyM/QQ==; _pst=apple_ggUEIRS; shshshfpb=daS4RVr0Yk9w65Hio31lN-g; shshshfpa=03fd05de-1795-e1be-7faa-dbe1342ebbcd-1657504705; rkv=1.0; areaId=12; ipLoc-djd=12-988-0-0; TrackID=1xjK9942JTH1cA13hCy9lpjoF4VUsywFztnHXMZa8fMqdod6dnvsJBqV2ZD7UVJXPOj_9eOcIbRSs8MdtE1dIc4M7Ie1oRPm-h1ZW-hdOnb9Gtb_DRX3_JGb_ZkJexJcQ; qrsc=3; PCSYCityID=CN_320000_320500_0; user-key=93bcac49-c4f4-4018-8b25-0766e0c16eda; cn=0; shshshfp=fc6aabe0109953d6062026a77f8bb1e5; __jda=122270672.1657610731752947367087.1657610732.1657610732.1657610732.1; __jdb=122270672.12.1657610731752947367087|1.1657610732; __jdc=122270672; shshshsID=fcfca37eb1dce4e7ebabf041ed253e70_6_1657612610164; thor=D83906BED82DBCAAD56166802034A7EB66575CF409BC09A49AFAF3487B79FEB995355C1A9063238C46E44EDF6CFED6A8324081B64A2FC4E00045BBAB6836FB7D4A6F24F6FBF97FE1F6A3014B93F3032242CB6FE9BF9D997B81005B34FA33DC1505BFB42E7DA2FE2D5991823CAEC187EE28A13F59C3698528BFD659FBAB4CFF16650B12DA4813475B5BF6F26CFCF2C198; 3AB9D23F7A4B3C9B=4YK7NHSJLWRZZ3CXJ4A22DRHHX7TAZBRBGGHDONJODT3TACJJJ65IS72HOSU4LFNHG6ZV3WAFDYORHCEBRJYYI6ZL4");
httpConn.setRequestProperty("sec-ch-ua", "\".Not/A)Brand\";v=\"99\", \"Google Chrome\";v=\"103\", \"Chromium\";v=\"103\"");
httpConn.setRequestProperty("sec-ch-ua-mobile", "?0");
httpConn.setRequestProperty("sec-ch-ua-platform", "\"macOS\"");
httpConn.setRequestProperty("sec-fetch-dest", "document");
httpConn.setRequestProperty("sec-fetch-mode", "navigate");
httpConn.setRequestProperty("sec-fetch-site", "none");
httpConn.setRequestProperty("sec-fetch-user", "?1");
httpConn.setRequestProperty("upgrade-insecure-requests", "1");
httpConn.setRequestProperty("user-agent", "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/103.0.0.0 Safari/537.36");
InputStream responseStream = httpConn.getResponseCode() / 100 == 2
? httpConn.getInputStream()
: httpConn.getErrorStream();
Scanner s = new Scanner(responseStream).useDelimiter("\\A");
String response = s.hasNext() ? s.next() : "";
Document document = Jsoup.parse(response);
// Document document = Jsoup.connect(url).userAgent("Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/80.0.3987.100 Safari/537.36").cookie("wlfstk_smdl","4jxg7p5cy2jz7afp41rull7hc3y9mkjr").timeout(30000).get();
Element j_goodsList = document.getElementById("J_goodsList");
if(j_goodsList==null)
return new ArrayList<>(); ;
Element gl_warp= j_goodsList.getElementsByClass("gl-warp").get(0);
ArrayList<Content> contents = new ArrayList<>();
for (Element child : gl_warp.children()) {
//img图片路径是存放在懒加载路径里面。
String img =child.getElementsByTag("img").eq(0).attr("data-lazy-img");
String price = child.getElementsByClass("p-price").eq(0).text();
String name = child.getElementsByClass("p-name").eq(0).text();
Content content = new Content();
content.setImg(img);
content.setTitle(name);
content.setPrice(price);
contents.add(content);
}
return contents;
}
}
3.6 编写前端页面 index.html
<!DOCTYPE html>
<html xmlns:th="http://www.thymeleaf.org">
<head>
<meta charset="utf-8"/>
<title>ES仿京东实战</title>
<link rel="stylesheet" th:href="@{/css/style.css}"/>
</head>
<body class="pg">
<div class="page" id="app">
<div id="mallPage" class=" mallist tmall- page-not-market ">
<!-- 头部搜索 -->
<div id="header" class=" header-list-app">
<div class="headerLayout">
<div class="headerCon ">
<!-- Logo-->
<h1 id="mallLogo">
<img th:src="@{/images/jdlogo.png}" alt="">
</h1>
<div class="header-extra">
<!--搜索-->
<div id="mallSearch" class="mall-search">
<form name="searchTop" class="mallSearch-form clearfix">
<fieldset>
<legend>天猫搜索</legend>
<div class="mallSearch-input clearfix">
<div class="s-combobox" id="s-combobox-685">
<div class="s-combobox-input-wrap">
<input v-model="keyword" type="text" autocomplete="off" value="dd" id="mq"
class="s-combobox-input" aria-haspopup="true"
>
</div>
</div>
<button type="submit" id="searchbtn" @click.prevent="searchKey">搜索</button>
</div>
</fieldset>
</form>
<ul class="relKeyTop">
<li><a>Java</a></li>
<li><a>前端</a></li>
<li><a>Linux</a></li>
<li><a>大数据</a></li>
<li><a>理财</a></li>
</ul>
</div>
</div>
</div>
</div>
</div>
<!-- 商品详情页面 -->
<div id="content">
<div class="main">
<!-- 品牌分类 -->
<form class="navAttrsForm">
<div class="attrs j_NavAttrs" style="display:block">
<div class="brandAttr j_nav_brand">
<div class="j_Brand attr">
<div class="attrKey">
品牌
</div>
<div class="attrValues">
<ul class="av-collapse row-2">
<li><a href="#"> </a></li>
<li><a href="#"> Java </a></li>
</ul>
</div>
</div>
</div>
</div>
</form>
<!-- 排序规则 -->
<div class="filter clearfix">
<a class="fSort fSort-cur">综合<i class="f-ico-arrow-d"></i></a>
<a class="fSort">人气<i class="f-ico-arrow-d"></i></a>
<a class="fSort">新品<i class="f-ico-arrow-d"></i></a>
<a class="fSort">销量<i class="f-ico-arrow-d"></i></a>
<a class="fSort">价格<i class="f-ico-triangle-mt"></i><i class="f-ico-triangle-mb"></i></a>
</div>
<!-- 商品详情 -->
<div class="view grid-nosku">
<!-- <div class="product">-->
<!-- <div class="product-iWrap">-->
<!-- <!–商品封面–>-->
<!-- <div class="productImg-wrap">-->
<!-- <a class="productImg">-->
<!-- <img src="https://img.alicdn.com/bao/uploaded/i1/3899981502/O1CN01q1uVx21MxxSZs8TVn_!!0-item_pic.jpg">-->
<!-- </a>-->
<!-- </div>-->
<!-- <!–价格–>-->
<!-- <p class="productPrice">-->
<!-- <em><b>¥</b>2590.00</em>-->
<!-- </p>-->
<!-- <!–标题–>-->
<!-- <p class="productTitle">-->
<!-- <a> dkny秋季纯色a字蕾丝dd商场同款连衣裙 </a>-->
<!-- </p>-->
<!-- <!– 店铺名 –>-->
<!-- <div class="productShop">-->
<!-- <span>店铺： Java </span>-->
<!-- </div>-->
<!-- <!– 成交信息 –>-->
<!-- <p class="productStatus">-->
<!-- <span>月成交<em>999笔</em></span>-->
<!-- <span>评价 <a>3</a></span>-->
<!-- </p>-->
<!-- </div>-->
<!-- </div>-->
<div class="product" v-for="(item,index) in result" :key="index item">
<div class="product-iWrap">
<!--商品封面-->
<div class="productImg-wrap">
<a class="productImg">
<img :src="'http:' item.img">
</a>
</div>
<!--价格-->
<p class="productPrice">
<!-- <em><b>¥</b>2590.00</em>-->
<em>{
{item.price}}</em>
</p>
<!--标题-->
<p class="productTitle">
<a v-html="item.title"> </a>
<!-- <a> {
{item.title}}} </a>-->
</p>
<!-- 店铺名 -->
<div class="productShop">
<span>店铺： Java </span>
</div>
<!-- 成交信息 -->
<p class="productStatus">
<span>月成交<em>999笔</em></span>
<span>评价 <a>3</a></span>
</p>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<script th:src="@{/js/jquery.min.js}"></script>
<script th:src="@{/js/axios.min.js}"></script>
<script th:src="@{/js/vue.min.js}"></script>
<script>
new Vue({
el:"#app",
data:{
keyword:"",
result:[]
},
methods:{
async searchKey(){
let keyword = this.keyword;
console.log(keyword);
let res = await axios.post("ES/Search",{
keyword,
pageSize:20,
pageNo:1
})
console.log(res);
if(res!=null&& res!=undefined){
// alert("查询成功")
this.result = res.data;
}
}
}
})
</script>
</body>
</html>
3.7 创建商品pojo类 Content
@Data
public class Content {
private String img;
private String title;
private String price;
}
3.8 编写爬虫同步逻辑代码
/** Controller层代码 **/
@Slf4j
@RestController
@RequestMapping("/ES")
public class ESController {
@Resource
EsDataSearchService esDataSearchService;
/**
* 导入数据进入es
* @param keyword
* @return
* @throws Exception
*/
@GetMapping("/data/{keyword}")
public boolean SynchronizeData(@PathVariable("keyword") String keyword) throws Exception {
return esDataSearchService.SynchronizeData(keyword);
}
}
/** Service层代码 **/
@Service
public class EsDataSearchServiceImpl implements EsDataSearchService {
@Resource
RestHighLevelClient restHighLevelClient;
@Override
public boolean SynchronizeData(String keyword)throws Exception {
List<Content> contents = HtmlParseUtil.parseJDSearchKeyByPage(keyword,2) ;
//创建批量操作请求
BulkRequest jd_goods = new BulkRequest();
jd_goods.timeout("2m");
//将爬取出来的数组同步进入es
for (Content content : contents) {
//新增添加请求
jd_goods.add(
new IndexRequest("jd_goods")
.source(JSON.toJSONString(content), XContentType.JSON)
);
}
//批量请求
BulkResponse response = restHighLevelClient.bulk(jd_goods, RequestOptions.DEFAULT);
return !response.hasFailures();
}
}
注意：通过将爬取的数据转成数组，再通过es批量处理，将数据同步进入es
3.9 编写查询接口
/** Controller层代码 **/
@PostMapping("/Search")
public List<Content> SearchData(@RequestBody SearchObject searchObject) {
return esDataSearchService.SearchData(searchObject,true);
}
/** Service层代码 **/
@SneakyThrows
@Override
public List<Content> SearchData(SearchObject searchObject,boolean flag) {
SearchRequest request = new SearchRequest();
request.indices("jd_goods");
SearchSourceBuilder builder = new SearchSourceBuilder();
//分页
builder.from((searchObject.getPageNo()-1)*searchObject.getPageSize());
builder.size(searchObject.getPageSize());
HighlightBuilder highlightBuilder = new HighlightBuilder();
//多个高亮显示
highlightBuilder.requireFieldMatch(false);
highlightBuilder.preTags("<span style='color:red;'>");
highlightBuilder.postTags("</span>");
highlightBuilder.field("title");
builder.highlighter(highlightBuilder);
//精准匹配 必须完全相同 否则无法展示
TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("title", searchObject.getKeyword());
MatchPhraseQueryBuilder queryBuilders = QueryBuilders.matchPhraseQuery("title", searchObject.getKeyword());
builder.query(queryBuilders);
//带中文的匹配
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
//boolQueryBuilder.must(QueryBuilders.matchPhraseQuery("title",searchObject.getKeyword()));
builder.query(boolQueryBuilder);
builder.timeout(new TimeValue(60, TimeUnit.SECONDS));
request.source(builder);
//执行搜索
SearchResponse response = restHighLevelClient.search(request, RequestOptions.DEFAULT);
//获取结果
List<Content> res = new ArrayList<>();
SearchHits hits = response.getHits();
for (SearchHit hit : hits.getHits()) {
Content content = JSON.parseObject(hit.getSourceAsString(), Content.class);
Map<String, HighlightField> highlightFields = hit.getHighlightFields();
HighlightField title = highlightFields.get("title");
if(title!=null){
Text[] fragments = title.fragments();
StringBuffer str = new StringBuffer("");//利用StringBuffer拼接效率更高
for (Text fragment : fragments) {
str.append(fragment);
}
content.setTitle(str.toString());
}
res.add( content);
}
//没有就现插入
if(res.size()==0&&flag){
//第一次没有查找到数据，则进行一次数据爬取再执行查询。
this.SynchronizeData(searchObject.getKeyword());
Thread.sleep(1000);//线程睡眠1s 因为同步es数据是异步操作，等待同步完成。
res = this.SearchData(searchObject,false);
}
return res;
}
3.10 启动项目，通过 启动端口进行访问（记得打开ES服务）
Elasticsearch 是一个分布式、高扩展、高实时的搜索与 数据分析 引擎。它能很方便地使大量数据具有搜索、分析和探索的能力。
它可以做实时数据存储，es检索数据本身扩展性很好，可以扩展到上百台服务器，处理PB级别(大数据时代）的数据。
,
