使用URLConnection爬取评论

Myth丶恋晨 2022-03-20 03:16 356阅读 0赞

本文将示例如何使用 [SpiderHttpUtils ][SpiderHttpUtils]来爬取某知名\*猫平台的评论信息。

以 [https://detail.tmall.com/item.htm?id=18539499729][https_detail.tmall.com_item.htm_id_18539499729] 宝贝为例，使用Fiddler抓包工具获取到它的评论请求地址如下，其中的 currentPage 参数即为被爬取的评论的页码。

![20190210110629439.png][]

pom.xml 文件中引入依赖包：

<parent>
    		<groupId>org.springframework.boot</groupId>
    		<artifactId>spring-boot-starter-parent</artifactId>
    		<version>1.5.7.RELEASE</version>
    		<relativePath />
    	</parent>
    	<dependencies>
    		<dependency>
    			<groupId>org.apache.commons</groupId>
    			<artifactId>commons-text</artifactId>
    			<version>1.6</version>
    		</dependency>
    		<dependency>
    			<groupId>org.apdplat</groupId>
    			<artifactId>word</artifactId>
    			<version>1.3</version>
    		</dependency>
    		<dependency>
    			<groupId>org.json</groupId>
    			<artifactId>json</artifactId>
    		</dependency>
    		<dependency>
    			<groupId>junit</groupId>
    			<artifactId>junit</artifactId>
    			<scope>test</scope>
    		</dependency>
    	</dependencies>

爬取评论的完整代码如下：

import java.io.BufferedReader;
    import java.io.BufferedWriter;
    import java.io.File;
    import java.io.FileOutputStream;
    import java.io.FileReader;
    import java.io.FileWriter;
    import java.io.IOException;
    import java.io.OutputStreamWriter;
    import java.text.MessageFormat;
    import java.util.ArrayList;
    import java.util.Collections;
    import java.util.HashMap;
    import java.util.Iterator;
    import java.util.List;
    import java.util.Map;
    import java.util.Random;
    import java.util.regex.Matcher;
    import java.util.regex.Pattern;
    
    import org.apache.commons.text.StringEscapeUtils;
    import org.apdplat.word.WordSegmenter;
    import org.apdplat.word.segmentation.SegmentationAlgorithm;
    import org.apdplat.word.segmentation.Word;
    import org.json.JSONArray;
    import org.json.JSONObject;
    import org.junit.Test;
    
    import spider.SpiderHttpUtils;
    
    public class SpiderTest {
    
    	public Map<String, String> getHeaders() {
    		Map<String, String> headers = new HashMap<String, String>();
    		headers.put("Host", "rate.tmall.com");
    		headers.put("Referer",
    				" https://detail.tmall.com/item.htm?spm=a220m.1000858.1000725.1.50be3bd8ewlaTd&id=41504319950&user_id=1975415428&cat_id=2");
    		// headers.put("Accept-Language",
    		// "zh-CN,zh;q=0.9,en;q=0.8,zh-TW;q=0.7");
    		headers.put("User-Agent",
    				"Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36");
    		headers.put("Cookie",
    				"cna=LuKHFKl4TlECAXQZ4Ux2g/Nd; cookie2=1d8425e75fcbd3cdaa40611db6680374; t=17fe97a643f4e1510f9e2977f9cbdd7d; _tb_token_=5734e153a5d34; otherx=e%3D1%26p%3D*%26s%3D0%26c%3D0%26f%3D0%26g%3D0%26t%3D0; x=__ll%3D-1%26_ato%3D0; dnk=pengjun%5Cu674E; lid=pengjun%E6%9D%8E; hng=CN%7Czh-CN%7CCNY%7C156; sn=%E5%85%A8%E6%A3%89%E6%97%B6%E4%BB%A3%E5%AE%98%E6%96%B9%E6%97%97%E8%88%B0%E5%BA%97%3Azfx; tk_trace=1; tracknick=pengjun%5Cu674E;lgc=pengjun%5Cu674E; enc=0F%2FkiNyKc%2F1vIUcjp6C7VI6tjD6K9gSaTtAQPlmY8CraZFMzXZMEcgDnr0LKd0SvSeKPrUQAqqEU%2Bq0O3aXG4Q%3D%3D; SHTSID=F8504BDA308C40A1867B84AA984C7914; uc1=cookie16=WqG3DMC9UpAPBHGz5QBErFxlCA%3D%3D&cookie21=U%2BGCWk%2F7pY%2FF&cookie15=UtASsssmOIJ0bQ%3D%3D&existShop=false&pas=0&cookie14=UoTZ5OSpoR6Xcg%3D%3D&tag=8&lng=zh_CN; uc3=vt3=F8dByEze4ekEsQsgc1A%3D&id2=VWeT3jqq6jDz&nk2=E6EQ1CLKS%2FnL&lg2=VT5L2FSpMGV7TQ%3D%3D; _l_g_=Ug%3D%3D; unb=682167773; cookie1=V3oTBcYJDILlbjtF3qOSEAd2Amf77M7oTu0rSZnkuIc%3D; login=true; cookie17=VWeT3jqq6jDz; _nk_=pengjun%5Cu674E;csg=1d4e91d8; skt=af3747a6827ebc42; _m_h5_tk=0ca05f482e46af75317d66b214d43689_1550465686263; _m_h5_tk_enc=2c51b947b84a5ef62f7c6523f04bbce9; x5sec=7b22726174656d616e616765723b32223a223762303932326363393666646437303062663361636430393164343932353530434b4731714f4d46454a335338706254376175634a686f4c4e6a67794d5459334e7a637a4f7a453d227d; whl=-1%260%260%260; l=bBN1mgHrvxpFLmphBOCwNQKXnqQTlIRRguSJGpWpi_5LUsvecl7OllzxWUv6Vj5P9zLB42mIJ0JTgFyQ5Ppf.; isg=BMPDJZxTm0CbSVClfvjWFCVzUofBKAVE096Au_WgcyLLtOHWfQtayJoiKgRfFK9y");
    		return headers;
    	}
    
    	/**
    	 * 爬取评论内容
    	 */
    	@Test
    	public void testSpider() throws IOException, InterruptedException {
    		// 构建正则表达式对响应内容进行匹配过滤
    		String regEx = "jsonp\\d+\\?\\(([\\s\\S]*)\\)";
    		Pattern pat = Pattern.compile(regEx);
    
    		// 请求地址
    		String url = null;
    		// 响应内容
    		String retStr = null;
    		Random random = new Random();
    		// 用来保存评论到文件
    		FileOutputStream fos = new FileOutputStream(new File("D:/简柔洁面巾_评论.txt"));
    		OutputStreamWriter osw = new OutputStreamWriter(fos, "UTF-8");
    		BufferedWriter bw = new BufferedWriter(osw);
    		int lineCount = 0;
    		// 逐页对评论进行爬取并写入文件
    		for (int i = 1; i < 100; i++) {
    			System.out.println("开始爬取第 " + i + " 页评论");
    			url = MessageFormat.format(
    					" https://rate.tmall.com/list_detail_rate.htm?itemId=41504319950&spuId=303661613&sellerId=1975415428&order=3&currentPage={0}&append=0&content=1&tagId=&posi=&picture=&groupId=&ua=098%23E1hvnpvRvphvUvCkvvvvvjiPRLspljEhn2qpsjthPmPyljDvRsLhtjrWPLsyAjn8RphvCvvvphmCvpvZ7Dl0eP5w7Di43kS5PbE4Bxi%2Fz1htvpvhvvCvpUwCvvpv9hCv2QhvCvvvMMGEvpCWvXfYMBlre8g7%2B3%2Bilj7Jyb8rwZDl%2BboJ%2BulABzcGeE9fV5EUAWAXeBOqb64B9Cka%2BfvsxI2heB6t%2BFBCAfyp%2Bu0OjomUy4oGULIKogyCvvOCvhE2zWoivpvUvvCC8Nrej68tvpvIvvCvpvvvvvvvvhOVvvvCw9vvB9OvvUHmvvCVC9vv9ogvvhOVvvmCb9hCvvOv9hCvvvvtvpvhvvCvp8wCvvpvvhHh9phv2HiwJSaQzHi475CnzT6Cvvyv9XRbIQvvD7w%3D&needFold=0&_ksTS=1550459693930_943&callback=jsonp944",
    					i);
    			retStr = SpiderHttpUtils.sendGet(true, url, null, getHeaders(), "utf-8");
    			Thread.sleep(random.nextInt(4000) + 2000);
    			Matcher mat = pat.matcher(retStr);
    			if (mat.find()) {
    				String jsonstr = mat.group(1);
    				String finalJson = StringEscapeUtils.unescapeJava(jsonstr);
    				try {
    					JSONObject retJson = new JSONObject(finalJson);
    					JSONObject rateDetail = retJson.getJSONObject("rateDetail");
    					JSONArray rateList = rateDetail.getJSONArray("rateList");
    					for (int index = 0; index < rateList.length(); index++) {
    						JSONObject jsonObject = rateList.getJSONObject(index);
    						bw.write(jsonObject.getString("rateContent"));
    						lineCount += 1;
    						bw.newLine();
    					}
    				} catch (Exception e) {
    					e.printStackTrace();
    					System.out.println(jsonstr);
    					// break;
    				}
    			}
    		}
    		// 关闭文件流
    		bw.close();
    		System.out.println("共爬取 " + lineCount + " 行评论");
    	}
    
    	/**
    	 * 对爬取到的评论内容进行分词
    	 */
    	@Test
    	public void testWord() throws IOException {
    		FileReader reader = new FileReader("D:/简柔洁面巾_评论.txt");
    		BufferedReader br = new BufferedReader(reader);
    		String str = null;
    		Map<String, IKWord> map = new HashMap<String, IKWord>();
    		while ((str = br.readLine()) != null) {
    			List<Word> words = WordSegmenter.seg(str, SegmentationAlgorithm.BidirectionalMaximumMatching);
    			for (Word word : words) {
    				String text = word.getText();
    				IKWord ikWord = map.get(text);
    				if (map.containsKey(text)) {
    					ikWord.addCount(1);
    				} else {
    					ikWord = new IKWord();
    					ikWord.setWord(text);
    					ikWord.setCount(1);
    					map.put(text, ikWord);
    				}
    			}
    		}
    		br.close();
    		reader.close();
    
    		FileWriter writer = new FileWriter("D:/简柔洁面巾_分词.txt");
    		BufferedWriter bw = new BufferedWriter(writer);
    		List<IKWord> list = new ArrayList<IKWord>();
    		list.addAll(map.values());
    		Collections.sort(list);
    		Iterator<IKWord> iterator = list.iterator();
    		while (iterator.hasNext()) {
    			IKWord next = iterator.next();
    			bw.write(next.getWord() + " " + next.getCount());
    			bw.newLine();
    		}
    		bw.close();
    		writer.close();
    	}
    }

public class IKWord implements Comparable<IKWord> {
    
    	private Integer count;
    
    	private String word;
    
    	@Override
    	public int compareTo(IKWord that) {
    		return that.count - this.count;
    	}
    
    	public boolean equals(IKWord that) {
    		return (this.word.equals(that.word));
    	}
    
    	public Integer getCount() {
    		return count;
    	}
    
    	public void setCount(Integer count) {
    		this.count = count;
    	}
    
    	public String getWord() {
    		return word;
    	}
    
    	public void setWord(String word) {
    		this.word = word;
    	}
    
    	public void addCount(Integer count) {
    		this.count += count;
    	}
    
    }

[SpiderHttpUtils]: https://blog.csdn.net/pengjunlee/article/details/85257375
[https_detail.tmall.com_item.htm_id_18539499729]: https://detail.tmall.com/item.htm?id=18539499729
[20190210110629439.png]: /images/20220320/5bf9ebe07ebe44bcb3d16e1440e8b9ab.png