java中完整的爬虫代码 java编写爬虫程序

Java网络爬虫怎么实现？

网络爬虫是一个自动提取网页的程序，它为搜索引擎从万维网上下载网页，是搜索引擎的重要组成。\x0d\x0a传统爬虫从一个或若干初始网页的URL开始，获得初始网页上的URL，在抓取网页的过程中，不断从当前页面上抽取新的URL放入队列，直到满足系统的一定停止条件。对于垂直搜索来说，聚焦爬虫，即有针对性地爬取特定主题网页的爬虫，更为适合。\x0d\x0a\x0d\x0a以下是一个使用java实现的简单爬虫核心代码：\x0d\x0apublic void crawl() throws Throwable { \x0d\x0a while (continueCrawling()) { \x0d\x0a CrawlerUrl url = getNextUrl(); //获取待爬取队列中的下一个URL \x0d\x0a if (url != null) { \x0d\x0a printCrawlInfo(); \x0d\x0a String content = getContent(url); //获取URL的文本信息 \x0d\x0a \x0d\x0a //聚焦爬虫只爬取与主题内容相关的网页，这里采用正则匹配简单处理 \x0d\x0a if (isContentRelevant(content, this.regexpSearchPattern)) { \x0d\x0a saveContent(url, content); //保存网页至本地 \x0d\x0a \x0d\x0a //获取网页内容中的链接，并放入待爬取队列中 \x0d\x0a Collection urlStrings = extractUrls(content, url); \x0d\x0a addUrlsToUrlQueue(url, urlStrings); \x0d\x0a } else { \x0d\x0a System.out.println(url + " is not relevant ignoring ..."); \x0d\x0a } \x0d\x0a \x0d\x0a //延时防止被对方屏蔽 \x0d\x0a Thread.sleep(this.delayBetweenUrls); \x0d\x0a } \x0d\x0a } \x0d\x0a closeOutputStream(); \x0d\x0a}\x0d\x0aprivate CrawlerUrl getNextUrl() throws Throwable { \x0d\x0a CrawlerUrl nextUrl = null; \x0d\x0a while ((nextUrl == null) (!urlQueue.isEmpty())) { \x0d\x0a CrawlerUrl crawlerUrl = this.urlQueue.remove(); \x0d\x0a //doWeHavePermissionToVisit：是否有权限访问该URL，友好的爬虫会根据网站提供的"Robot.txt"中配置的规则进行爬取 \x0d\x0a //isUrlAlreadyVisited：URL是否访问过，大型的搜索引擎往往采用BloomFilter进行排重，这里简单使用HashMap \x0d\x0a //isDepthAcceptable：是否达到指定的深度上限。爬虫一般采取广度优先的方式。一些网站会构建爬虫陷阱（自动生成一些无效链接使爬虫陷入死循环），采用深度限制加以避免 \x0d\x0a if (doWeHavePermissionToVisit(crawlerUrl) \x0d\x0a (!isUrlAlreadyVisited(crawlerUrl)) \x0d\x0a isDepthAcceptable(crawlerUrl)) { \x0d\x0a nextUrl = crawlerUrl; \x0d\x0a // System.out.println("Next url to be visited is " + nextUrl); \x0d\x0a } \x0d\x0a } \x0d\x0a return nextUrl; \x0d\x0a}\x0d\x0aprivate String getContent(CrawlerUrl url) throws Throwable { \x0d\x0a //HttpClient4.1的调用与之前的方式不同 \x0d\x0a HttpClient client = new DefaultHttpClient(); \x0d\x0a HttpGet httpGet = new HttpGet(url.getUrlString()); \x0d\x0a StringBuffer strBuf = new StringBuffer(); \x0d\x0a HttpResponse response = client.execute(httpGet); \x0d\x0a if (HttpStatus.SC_OK == response.getStatusLine().getStatusCode()) { \x0d\x0a HttpEntity entity = response.getEntity(); \x0d\x0a if (entity != null) { \x0d\x0a BufferedReader reader = new BufferedReader( \x0d\x0a new InputStreamReader(entity.getContent(), "UTF-8")); \x0d\x0a String line = null; \x0d\x0a if (entity.getContentLength() 0) { \x0d\x0a strBuf = new StringBuffer((int) entity.getContentLength()); \x0d\x0a while ((line = reader.readLine()) != null) { \x0d\x0a strBuf.append(line); \x0d\x0a } \x0d\x0a } \x0d\x0a } \x0d\x0a if (entity != null) { \x0d\x0a nsumeContent(); \x0d\x0a } \x0d\x0a } \x0d\x0a //将url标记为已访问 \x0d\x0a markUrlAsVisited(url); \x0d\x0a return strBuf.toString(); \x0d\x0a}\x0d\x0apublic static boolean isContentRelevant(String content, \x0d\x0aPattern regexpPattern) { \x0d\x0a boolean retValue = false; \x0d\x0a if (content != null) { \x0d\x0a //是否符合正则表达式的条件 \x0d\x0a Matcher m = regexpPattern.matcher(content.toLowerCase()); \x0d\x0a retValue = m.find(); \x0d\x0a } \x0d\x0a return retValue; \x0d\x0a}\x0d\x0apublic List extractUrls(String text, CrawlerUrl crawlerUrl) { \x0d\x0a Map urlMap = new HashMap(); \x0d\x0a extractHttpUrls(urlMap, text); \x0d\x0a extractRelativeUrls(urlMap, text, crawlerUrl); \x0d\x0a return new ArrayList(urlMap.keySet()); \x0d\x0a} \x0d\x0aprivate void extractHttpUrls(Map urlMap, String text) { \x0d\x0a Matcher m = (text); \x0d\x0a while (m.find()) { \x0d\x0a String url = m.group(); \x0d\x0a String[] terms = url.split("a href=\""); \x0d\x0a for (String term : terms) { \x0d\x0a // System.out.println("Term = " + term); \x0d\x0a if (term.startsWith("http")) { \x0d\x0a int index = term.indexOf("\""); \x0d\x0a if (index 0) { \x0d\x0a term = term.substring(0, index); \x0d\x0a } \x0d\x0a urlMap.put(term, term); \x0d\x0a System.out.println("Hyperlink: " + term); \x0d\x0a } \x0d\x0a } \x0d\x0a } \x0d\x0a} \x0d\x0aprivate void extractRelativeUrls(Map urlMap, String text, \x0d\x0a CrawlerUrl crawlerUrl) { \x0d\x0a Matcher m = relativeRegexp.matcher(text); \x0d\x0a URL textURL = crawlerUrl.getURL(); \x0d\x0a String host = textURL.getHost(); \x0d\x0a while (m.find()) { \x0d\x0a String url = m.group(); \x0d\x0a String[] terms = url.split("a href=\""); \x0d\x0a for (String term : terms) { \x0d\x0a if (term.startsWith("/")) { \x0d\x0a int index = term.indexOf("\""); \x0d\x0a if (index 0) { \x0d\x0a term = term.substring(0, index); \x0d\x0a } \x0d\x0a String s = //" + host + term; \x0d\x0a urlMap.put(s, s); \x0d\x0a System.out.println("Relative url: " + s); \x0d\x0a } \x0d\x0a } \x0d\x0a } \x0d\x0a \x0d\x0a}\x0d\x0apublic static void main(String[] args) { \x0d\x0a try { \x0d\x0a String url = ""; \x0d\x0a Queue urlQueue = new LinkedList(); \x0d\x0a String regexp = "java"; \x0d\x0a urlQueue.add(new CrawlerUrl(url, 0)); \x0d\x0a NaiveCrawler crawler = new NaiveCrawler(urlQueue, 100, 5, 1000L, \x0d\x0a regexp); \x0d\x0a // boolean allowCrawl = crawler.areWeAllowedToVisit(url); \x0d\x0a // System.out.println("Allowed to crawl: " + url + " " + \x0d\x0a // allowCrawl); \x0d\x0a crawler.crawl(); \x0d\x0a } catch (Throwable t) { \x0d\x0a System.out.println(t.toString()); \x0d\x0a t.printStackTrace(); \x0d\x0a } \x0d\x0a}

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求用JAVA编写一个网络爬虫的程序

先根据一个链接，抓取该页面；解析该页面，搜取出该页面中有用的链接，根据链接地址循环抓取就OK了；--简单爬行器原理

抓取完文件后还需要一个功能好点的文档解析器来解析出文件中的内容；--文件解析器

再根据关键字（分词器）处理这些页面，建立自己的搜索引擎；--分词器不好解决

我也正在搞这方面

呵呵

java 网络爬虫怎么实现

网络爬虫是一个自动提取网页的程序，它为搜索引擎从万维网上下载网页，是搜索引擎的重要组成。

传统爬虫从一个或若干初始网页的URL开始，获得初始网页上的URL，在抓取网页的过程中，不断从当前页面上抽取新的URL放入队列，直到满足系统的一定停止条件。对于垂直搜索来说，聚焦爬虫，即有针对性地爬取特定主题网页的爬虫，更为适合。

以下是一个使用java实现的简单爬虫核心代码：

public void crawl() throws Throwable {

while (continueCrawling()) {

CrawlerUrl url = getNextUrl(); //获取待爬取队列中的下一个URL

if (url != null) {

printCrawlInfo();

String content = getContent(url); //获取URL的文本信息

//聚焦爬虫只爬取与主题内容相关的网页，这里采用正则匹配简单处理

if (isContentRelevant(content, this.regexpSearchPattern)) {

saveContent(url, content); //保存网页至本地

//获取网页内容中的链接，并放入待爬取队列中

Collection urlStrings = extractUrls(content, url);

addUrlsToUrlQueue(url, urlStrings);

} else {

System.out.println(url + " is not relevant ignoring ...");

}

//延时防止被对方屏蔽

Thread.sleep(this.delayBetweenUrls);

}

}

closeOutputStream();

}

private CrawlerUrl getNextUrl() throws Throwable {

CrawlerUrl nextUrl = null;

while ((nextUrl == null) (!urlQueue.isEmpty())) {

CrawlerUrl crawlerUrl = this.urlQueue.remove();

//doWeHavePermissionToVisit：是否有权限访问该URL，友好的爬虫会根据网站提供的"Robot.txt"中配置的规则进行爬取

//isUrlAlreadyVisited：URL是否访问过，大型的搜索引擎往往采用BloomFilter进行排重，这里简单使用HashMap

//isDepthAcceptable：是否达到指定的深度上限。爬虫一般采取广度优先的方式。一些网站会构建爬虫陷阱（自动生成一些无效链接使爬虫陷入死循环），采用深度限制加以避免

if (doWeHavePermissionToVisit(crawlerUrl)

(!isUrlAlreadyVisited(crawlerUrl))

isDepthAcceptable(crawlerUrl)) {

nextUrl = crawlerUrl;

// System.out.println("Next url to be visited is " + nextUrl);

}

}

return nextUrl;

}

private String getContent(CrawlerUrl url) throws Throwable {

//HttpClient4.1的调用与之前的方式不同

HttpClient client = new DefaultHttpClient();

HttpGet httpGet = new HttpGet(url.getUrlString());

StringBuffer strBuf = new StringBuffer();

HttpResponse response = client.execute(httpGet);

if (HttpStatus.SC_OK == response.getStatusLine().getStatusCode()) {

HttpEntity entity = response.getEntity();

if (entity != null) {

BufferedReader reader = new BufferedReader(

new InputStreamReader(entity.getContent(), "UTF-8"));

String line = null;

if (entity.getContentLength() 0) {

strBuf = new StringBuffer((int) entity.getContentLength());

while ((line = reader.readLine()) != null) {

strBuf.append(line);

}

}

}

if (entity != null) {

nsumeContent();

}

}

//将url标记为已访问

markUrlAsVisited(url);

return strBuf.toString();

}

public static boolean isContentRelevant(String content,

Pattern regexpPattern) {

boolean retValue = false;

if (content != null) {

//是否符合正则表达式的条件

Matcher m = regexpPattern.matcher(content.toLowerCase());

retValue = m.find();

}

return retValue;

}

public List extractUrls(String text, CrawlerUrl crawlerUrl) {

Map urlMap = new HashMap();

extractHttpUrls(urlMap, text);

extractRelativeUrls(urlMap, text, crawlerUrl);

return new ArrayList(urlMap.keySet());

}

private void extractHttpUrls(Map urlMap, String text) {

Matcher m = (text);

while (m.find()) {

String url = m.group();

String[] terms = url.split("a href=\"");

for (String term : terms) {

// System.out.println("Term = " + term);

if (term.startsWith("http")) {

int index = term.indexOf("\"");

if (index 0) {

term = term.substring(0, index);

}

urlMap.put(term, term);

System.out.println("Hyperlink: " + term);

}

}

}

}

private void extractRelativeUrls(Map urlMap, String text,

CrawlerUrl crawlerUrl) {

Matcher m = relativeRegexp.matcher(text);

URL textURL = crawlerUrl.getURL();

String host = textURL.getHost();

while (m.find()) {

String url = m.group();

String[] terms = url.split("a href=\"");

for (String term : terms) {

if (term.startsWith("/")) {

int index = term.indexOf("\"");

if (index 0) {

term = term.substring(0, index);

}

String s = //" + host + term;

urlMap.put(s, s);

System.out.println("Relative url: " + s);

}

}

}

}

public static void main(String[] args) {

try {

String url = "";

Queue urlQueue = new LinkedList();

String regexp = "java";

urlQueue.add(new CrawlerUrl(url, 0));

NaiveCrawler crawler = new NaiveCrawler(urlQueue, 100, 5, 1000L,

regexp);

// boolean allowCrawl = crawler.areWeAllowedToVisit(url);

// System.out.println("Allowed to crawl: " + url + " " +

// allowCrawl);

crawler.crawl();

} catch (Throwable t) {

System.out.println(t.toString());

t.printStackTrace();

}

}

用java编写 网络爬虫求代码和流程 急

import java.awt.*;

import java.awt.event.*;

import java.io.*;

import java.net.*;

import java.util.*;

import java.util.regex.*;

import javax.swing.*;

import javax.swing.table.*;//一个Web的爬行者(注：爬行在这里的意思与抓取，捕获相同)

public class SearchCrawler extends JFrame{

//最大URL保存值

private static final String[] MAX_URLS={"50","100","500","1000"};

//缓存robot禁止爬行列表

private HashMap disallowListCache=new HashMap();

//搜索GUI控件

private JTextField startTextField;

private JComboBox maxComboBox;

private JCheckBox limitCheckBox;

private JTextField logTextField;

private JTextField searchTextField;

private JCheckBox caseCheckBox;

private JButton searchButton;

//搜索状态GUI控件

private JLabel crawlingLabel2;

private JLabel crawledLabel2;

private JLabel toCrawlLabel2;

private JProgressBar progressBar;

private JLabel matchesLabel2;

//搜索匹配项表格列表

private JTable table;

//标记爬行机器是否正在爬行

private boolean crawling;

//写日志匹配文件的引用

private PrintWriter logFileWriter;

//网络爬行者的构造函数

public SearchCrawler(){

//设置应用程序标题栏

setTitle("搜索爬行者");

//设置窗体大小

setSize(600,600);

//处理窗体关闭事件

addWindowListener(new WindowAdapter(){

public void windowClosing(WindowEvent e){

actionExit();

}

});

//设置文件菜单

JMenuBar menuBar=new JMenuBar();

JMenu fileMenu=new JMenu("文件");

fileMenu.setMnemonic(KeyEvent.VK_F);

JMenuItem fileExitMenuItem=new JMenuItem("退出",KeyEvent.VK_X);

fileExitMenuItem.addActionListener(new ActionListener(){

public void actionPerformed(ActionEvent e){

actionExit();

}

});

fileMenu.add(fileExitMenuItem);

menuBar.add(fileMenu);

setJMenuBar(menuBar);

如何用Java写一个爬虫

我主要使用Jsoup解析，获取源码有时候使用Jsoup，比较复杂的时候比如需要换ip，改编码或者模拟登陆的时候使用HttpClient，以下是抓取开源中国新闻的一段代码，可以运行。

package demo;

import java.io.IOException;

import org.jsoup.Jsoup;

import org.jsoup.nodes.Document;

import org.jsoup.nodes.Element;

import org.jsoup.select.Elements;

/**

*

* 使用JSoup 解析网页，语法使用 JS，css，Jquery 选择器语法，方便易懂

*

* Jsoup教程网：jsoup开发指南,jsoup中文使用手册,jsoup中文文档

*

* @author geekfly

*

*/

public class JsoupDemo {

public static void main(String[] args) throws IOException {

String url = "新闻资讯 - 开源中国社区";

Document document = Jsoup.connect(url).userAgent("Mozilla/5.0 (Windows NT 6.1; rv:30.0) Gecko/20100101 Firefox/30.0").get();

Elements elements = document.select("#RecentNewsList .List li");

for (Element element : elements) {

Elements titleElement = element.select("h2 a");

String title = titleElement.text();

String link = titleElement.attr("href").trim();

Elements dataElement = element.select(".date");

Elements autherElement = dataElement.select("a");

String auther = autherElement.text();

autherElement.remove();

String date = dataElement.text();

String detail = element.select(".detail").text();

System.out.println("链接： " + link);

System.out.println("标题： " + title);

System.out.println("作者： " + auther);

System.out.println("发布时间： " + date);

System.out.println("详细信息： " + detail);

System.out.println();

System.out.println();

}

System.out.println(elements.size());

}

}