爬虫标题代码java java爬虫jsoup

JAVA怎么弄爬虫 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 = https://www.04ip.com/post/false;
if (content != null) {
//是否符合正则表达式的条件
Matcher m = regexpPattern.matcher(content.toLowerCase());
retValue = https://www.04ip.com/post/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=https://www.04ip.com/"");
for (String term : terms) {
// System.out.println("Term = "term);
if (term.startsWith("http")) {
int index = term.indexOf("\"");
if (index0) {
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=https://www.04ip.com/"");
for (String term : terms) {
if (term.startsWith("/")) {
int index = term.indexOf("\"");
if (index0) {
term = term.substring(0, index);
}
String s = //"hostterm;
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();
}
}
Java网络爬虫怎么实现?网络爬虫是一个自动提取网页爬虫标题代码java的程序爬虫标题代码java,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爬虫标题代码java:\x0d\x0apublic void crawl() throws Throwable {\x0d\x0awhile (continueCrawling()) {\x0d\x0aCrawlerUrl url = getNextUrl(); //获取待爬取队列中的下一个URL\x0d\x0aif (url != null) {\x0d\x0aprintCrawlInfo();\x0d\x0aString 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\x0aif (isContentRelevant(content, this.regexpSearchPattern)) {\x0d\x0asaveContent(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\x0aCollection urlStrings = extractUrls(content, url);\x0d\x0aaddUrlsToUrlQueue(url, urlStrings);\x0d\x0a} else {\x0d\x0aSystem.out.println(url" is not relevant ignoring ...");\x0d\x0a}\x0d\x0a\x0d\x0a//延时防止被对方屏蔽\x0d\x0aThread.sleep(this.delayBetweenUrls);\x0d\x0a}\x0d\x0a}\x0d\x0acloseOutputStream();\x0d\x0a}\x0d\x0aprivate CrawlerUrl getNextUrl() throws Throwable {\x0d\x0aCrawlerUrl nextUrl = null;\x0d\x0awhile ((nextUrl == null)(!urlQueue.isEmpty())) {\x0d\x0aCrawlerUrl crawlerUrl = this.urlQueue.remove();\x0d\x0a//doWeHavePermissionToVisit爬虫标题代码java: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\x0aif (doWeHavePermissionToVisit(crawlerUrl)\x0d\x0a(!isUrlAlreadyVisited(crawlerUrl))\x0d\x0aisDepthAcceptable(crawlerUrl)) {\x0d\x0anextUrl = crawlerUrl;\x0d\x0a// System.out.println("Next url to be visited is "nextUrl);\x0d\x0a}\x0d\x0a}\x0d\x0areturn 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\x0aHttpClient client = new DefaultHttpClient();\x0d\x0aHttpGet httpGet = new HttpGet(url.getUrlString());\x0d\x0aStringBuffer strBuf = new StringBuffer();\x0d\x0aHttpResponse response = client.execute(httpGet);\x0d\x0aif (HttpStatus.SC_OK == response.getStatusLine().getStatusCode()) {\x0d\x0aHttpEntity entity = response.getEntity();\x0d\x0aif (entity != null) {\x0d\x0aBufferedReader reader = new BufferedReader(\x0d\x0anew InputStreamReader(entity.getContent(), "UTF-8"));\x0d\x0aString line = null;\x0d\x0aif (entity.getContentLength()0) {\x0d\x0astrBuf = new StringBuffer((int) entity.getContentLength());\x0d\x0awhile ((line = reader.readLine()) != null) {\x0d\x0astrBuf.append(line);\x0d\x0a}\x0d\x0a}\x0d\x0a}\x0d\x0aif (entity != null) {\x0d\x0ansumeContent();\x0d\x0a}\x0d\x0a}\x0d\x0a//将url标记为已访问\x0d\x0amarkUrlAsVisited(url);\x0d\x0areturn strBuf.toString();\x0d\x0a}\x0d\x0apublic static boolean isContentRelevant(String content,\x0d\x0aPattern regexpPattern) {\x0d\x0aboolean retValue = https://www.04ip.com/post/false;/x0d/x0aif (content != null) {/x0d/x0a//是否符合正则表达式的条件/x0d/x0aMatcher m = regexpPattern.matcher(content.toLowerCase());/x0d/x0aretValue = m.find();/x0d/x0a}/x0d/x0areturn retValue;/x0d/x0a}/x0d/x0apublic List extractUrls(String text, CrawlerUrl crawlerUrl) {/x0d/x0aMap urlMap = new HashMap();/x0d/x0aextractHttpUrls(urlMap, text);/x0d/x0aextractRelativeUrls(urlMap, text, crawlerUrl);/x0d/x0areturn new ArrayList(urlMap.keySet());/x0d/x0a}/x0d/x0aprivate void extractHttpUrls(Map urlMap, String text) {/x0d/x0aMatcher m = (text);/x0d/x0awhile (m.find()) {/x0d/x0aString url = m.group();/x0d/x0aString[] terms = url.split("a href=https://www.04ip.com/"");\x0d\x0afor (String term : terms) {\x0d\x0a// System.out.println("Term = "term);\x0d\x0aif (term.startsWith("http")) {\x0d\x0aint index = term.indexOf("\"");\x0d\x0aif (index0) {\x0d\x0aterm = term.substring(0, index);\x0d\x0a}\x0d\x0aurlMap.put(term, term);\x0d\x0aSystem.out.println("Hyperlink: "term);\x0d\x0a}\x0d\x0a}\x0d\x0a}\x0d\x0a}\x0d\x0aprivate void extractRelativeUrls(Map urlMap, String text,\x0d\x0aCrawlerUrl crawlerUrl) {\x0d\x0aMatcher m = relativeRegexp.matcher(text);\x0d\x0aURL textURL = crawlerUrl.getURL();\x0d\x0aString host = textURL.getHost();\x0d\x0awhile (m.find()) {\x0d\x0aString url = m.group();\x0d\x0aString[] terms = url.split("a href=https://www.04ip.com/"");\x0d\x0afor (String term : terms) {\x0d\x0aif (term.startsWith("/")) {\x0d\x0aint index = term.indexOf("\"");\x0d\x0aif (index0) {\x0d\x0aterm = term.substring(0, index);\x0d\x0a}\x0d\x0aString s = //"hostterm;\x0d\x0aurlMap.put(s, s);\x0d\x0aSystem.out.println("Relative url: "s);\x0d\x0a}\x0d\x0a}\x0d\x0a}\x0d\x0a\x0d\x0a}\x0d\x0apublic static void main(String[] args) {\x0d\x0atry {\x0d\x0aString url = "";\x0d\x0aQueue urlQueue = new LinkedList();\x0d\x0aString regexp = "java";\x0d\x0aurlQueue.add(new CrawlerUrl(url, 0));\x0d\x0aNaiveCrawler crawler = new NaiveCrawler(urlQueue, 100, 5, 1000L,\x0d\x0aregexp);\x0d\x0a// boolean allowCrawl = crawler.areWeAllowedToVisit(url);\x0d\x0a// System.out.println("Allowed to crawl: "url" "\x0d\x0a// allowCrawl);\x0d\x0acrawler.crawl();\x0d\x0a} catch (Throwable t) {\x0d\x0aSystem.out.println(t.toString());\x0d\x0at.printStackTrace();\x0d\x0a}\x0d\x0a}
谁有java网络爬虫的代码,经打包给我/*
最简单的爬虫
*/
import java.io.File;
import java.net.URL;
import java.net.URLConnection;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.Scanner;
import java.util.UUID;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
public class DownMM {
public static void main(String[] args) throws Exception {
//out为输出的路径,注意要以\\结尾
String out = "D:\\JSP\\pic\\java\\";
try{
File f = new File(out);
if(! f.exists()) {
f.mkdirs();
}
}catch(Exception e){
System.out.println("no");
}
String url = "
Pattern reg = Pattern.compile("img src=https://www.04ip.com/"(.*?)\"");
for(int j=0, i=1; i=10; i){
URL uu = new URL(url i);
URLConnection conn = uu.openConnection();
conn.setRequestProperty("User-Agent", "Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko");
Scanner sc = new Scanner(conn.getInputStream());
Matcher m = reg.matcher(sc.useDelimiter("\\A").next());
while(m.find()){
Files.copy(new URL(m.group(1)).openStream(), Paths.get(outUUID.randomUUID()".jpg"));
System.out.println("已下载:" j);
}
}
}
}
如何用Java写一个爬虫原理即是保存cookie数据保存登陆后的cookie.以后每次抓取页面把cookie在头部信息里面发送过去 。系统是根据cookie来判断用户的 。有了cookie就有了登录状态,以后的访问都是基于这个cookie对应的用户的 。补充:Java是一种可以撰写跨平台应用软件的面向对象的程序设计语言 。Java技术具有卓越的通用性、高效性、平台移植性和安全性 , 广泛应用于PC、数据中心、游戏控制台、科学超级计算机、移动电话和互联网,同时拥有全球最大的开发者专业社群 。
java爬虫抓取指定数据根据java网络编程相关爬虫标题代码java的内容爬虫标题代码java , 使用jdk提供的相关类可以得到url对应网页的html页面代码 。
针对得到的html代码爬虫标题代码java,通过使用正则表达式即可得到爬虫标题代码java我们想要的内容 。
比如,我们如果想得到一个网页上所有包括“java”关键字的文本内容,就可以逐行对网页代码进行正则表达式的匹配 。最后达到去除html标签和不相关的内容,只得到包括“java”这个关键字的内容的效果 。
从网页上爬取图片的流程和爬取内容的流程基本相同 , 但是爬取图片的步骤会多一步 。
需要先用img标签的正则表达式匹配获取到img标签,再用src属性的正则表达式获取这个img标签中的src属性的图片url,然后再通过缓冲输入流对象读取到这个图片url的图片信息,配合文件输出流将读到的图片信息写入到本地即可 。
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?。?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(){
【爬虫标题代码java java爬虫jsoup】public void actionPerformed(ActionEvent e){
actionExit();
}
});
fileMenu.add(fileExitMenuItem);
menuBar.add(fileMenu);
setJMenuBar(menuBar);
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