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java网络爬虫代码 javaweb爬虫
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java爬虫抓取指定数据
根据java网络编程相关的内容,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,通过使用正则表达式即可得到我们想要的内容。
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。
如何用java爬虫爬取招聘信息
1、思路java网络爬虫代码:
明确需要爬取java网络爬虫代码的信息
分析网页结构
分析爬取流程
优化
2、明确需要爬取java网络爬虫代码的信息
职位名称
工资
职位描述
公司名称
公司主页
详情网页
分析网页结构
3、目标网站-拉勾网
网站使用json作为交互数据java网络爬虫代码,分析json数据,需要的json关键数据
查看需要的信息所在的位置,使用Jsoup来解析网页
4、分析爬取流程
1.获取所有的positionId生成详情页,存放在一个存放网址列表中ListString joburls
2.获取每个详情页并解析为Job类,得到一个存放Job类的列表ListJob jobList
3.把ListJob jobList存进Excel表格中
Java操作Excel需要用到jxl
5、关键代码实现
public ListString getJobUrls(String gj,String city,String kd){
String pre_url="";
String end_url=".html";
String url;
if (gj.equals("")){
url=";city="+city+"needAddtionalResult=falsefirst=falsepn="+pn+"kd="+kd;
}else {
url=""+gj+"px=defaultcity="+city+"needAddtionalResult=falsefirst=falsepn="+pn+"kd="+kd;
}
String rs=getJson(url);
System.out.println(rs);
int total= JsonPath.read(rs,"$.content.positionResult.totalCount");//获取总数
int pagesize=total/15;
if (pagesize=30){
pagesize=30;
}
System.out.println(total);
// System.out.println(rs);
ListInteger posid=JsonPath.read(rs,"$.content.positionResult.result[*].positionId");//获取网页id
for (int j=1;j=pagesize;j++){ //获取所有的网页id
pn++; //更新页数
url=""+gj+"px=defaultcity="+city+"needAddtionalResult=falsefirst=falsepn="+pn+"kd="+kd;
String rs2=getJson(url);
ListInteger posid2=JsonPath.read(rs2,"$.content.positionResult.result[*].positionId");
posid.addAll(posid2); //添加解析的id到第一个list
}
ListString joburls=new ArrayList();
//生成网页列表
for (int id:posid){
String url3=pre_url+id+end_url;
joburls.add(url3);
}
return joburls;
}
public Job getJob(String url){ //获取工作信息
Job job=new Job();
Document document= null;
document = Jsoup.parse(getJson(url));
job.setJobname(document.select(".name").text());
job.setSalary(document.select(".salary").text());
String joball=HtmlTool.tag(document.select(".job_bt").select("div").html());//清除html标签
job.setJobdesc(joball);//职位描述包含要求
job.setCompany(document.select(".b2").attr("alt"));
Elements elements=document.select(".c_feature");
//System.out.println(document.select(".name").text());
job.setCompanysite(elements.select("a").attr("href")); //获取公司主页
job.setJobdsite(url);
return job;
}
void insertExcel(ListJob jobList) throws IOException, BiffException, WriteException {
int row=1;
Workbook wb = Workbook.getWorkbook(new File(JobCondition.filename));
WritableWorkbook book = Workbook.createWorkbook(new File(JobCondition.filename), wb);
WritableSheet sheet=book.getSheet(0);
for (int i=0;ijobList.size();i++){ //遍历工作列表,一行行插入到表格中
sheet.addCell(new Label(0,row,jobList.get(i).getJobname()));
sheet.addCell(new Label(1,row,jobList.get(i).getSalary()));
sheet.addCell(new Label(2,row,jobList.get(i).getJobdesc()));
sheet.addCell(new Label(3,row,jobList.get(i).getCompany()));
sheet.addCell(new Label(4,row,jobList.get(i).getCompanysite()));
sheet.addCell(new Label(5,row,jobList.get(i).getJobdsite()));
row++;
}
book.write();
book.close();
}
用java编写网络爬虫,用来爬网络音乐资源,再返回java页面显示该怎么实现
下面是源代码,希望可以帮到你~~
package com.ly.mainprocess;
import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.util.ArrayList;
import java.util.List;
import org.apache.http.Consts;
import org.apache.http.Header;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.NameValuePair;
import org.apache.http.StatusLine;
import org.apache.http.client.entity.UrlEncodedFormEntity;
import org.apache.http.client.methods.HttpGet;
import org.apache.http.client.methods.HttpPost;
import org.apache.http.cookie.Cookie;
import org.apache.http.impl.client.DefaultHttpClient;
import org.apache.http.message.BasicNameValuePair;
import org.apache.http.util.EntityUtils;
public class Test1 {
public static void main(String[] args){
Test1 test1 = new Test1();
System.out.println(test1.process("******","******"));
}
@SuppressWarnings("deprecation")
public boolean process(String username,String password) {
boolean ret=false;
DefaultHttpClient httpclient = new DefaultHttpClient();
try {
HttpGet httpget;
HttpResponse response;
HttpEntity entity;
ListCookie cookies;
//组建登录的post包
HttpPost httppost = new HttpPost(""); // 用户登录
ListNameValuePair nvps = new ArrayListNameValuePair();
nvps.add(new BasicNameValuePair("nickname", username));
nvps.add(new BasicNameValuePair("password", password));
nvps.add(new BasicNameValuePair("origURL", ""));
nvps.add(new BasicNameValuePair("loginregFrom", "index"));
nvps.add(new BasicNameValuePair("ss", "10101"));
httppost.setEntity(new UrlEncodedFormEntity(nvps, Consts.UTF_8));
httppost.addHeader("Referer", "");
httppost.addHeader("Connection", "keep-alive");
httppost.addHeader("Content-Type", "application/x-www-form-urlencoded");
httppost.addHeader("Accept-Language", "zh-CN,zh;q=0.8");
httppost.addHeader("Origin", "");
httppost.addHeader("User-Agent", "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/30.0.1599.101 Safari/537.36");
response = httpclient.execute(httppost);
entity = response.getEntity();
// System.out.println("Login form get: " + response.getStatusLine());
EntityUtils.consume(entity);
// System.out.println("Post logon cookies:");
cookies = httpclient.getCookieStore().getCookies();
if (cookies.isEmpty()) {
// System.out.println("None");
} else {
for (int i = 0; i cookies.size(); i++) {
// System.out.println("- " + cookies.get(i).toString());
}
}
//进行页面跳转
String url = ""; // 页面跳转
Header locationHeader = response.getFirstHeader("Location");
// System.out.println(locationHeader.getValue());
if (locationHeader != null) {
url = locationHeader.getValue(); // 得到跳转href
HttpGet httpget1 = new HttpGet(url);
response = httpclient.execute(httpget1);
// 登陆成功。。。hoho
}
entity = response.getEntity();
// System.out.println(response.getStatusLine());
if (entity != null) {
// System.out.println("Response content length: " + entity.getContentLength());
}
// 显示结果
BufferedReader reader = new BufferedReader(new InputStreamReader(entity.getContent(), "UTF-8"));
String line = null;
while ((line = reader.readLine()) != null) {
// System.out.println(line);
}
//自动打卡
// 访问网站的子网页。
HttpPost httppost1 = new HttpPost(""); // 设置个人信息页面
httppost1.addHeader("Content-Type", "text/plain;charset=UTF-8");
httppost1.addHeader("Accept", "text/plain, */*");
httppost1.addHeader("X-Requested-With", "XMLHttpRequest");
httppost1.addHeader("Referer", "");
response = httpclient.execute(httppost1);
entity = response.getEntity();
// System.out.println(response.getStatusLine());
if(response.getStatusLine().toString().indexOf("HTTP/1.1 200 OK")=0){
ret = true;
}
if (entity != null) {
// System.out.println("Response content length: " + entity.getContentLength());
}
// 显示结果
reader = new BufferedReader(new InputStreamReader(entity.getContent(), "UTF-8"));
line = null;
while ((line = reader.readLine()) != null) {
System.out.println(line);
}
} catch (Exception e) {
} finally {
httpclient.getConnectionManager().shutdown();
}
return ret;
}
}
怎么用java写网络爬虫将网页中的指定数据下载到本地excel文档中
mport java.io.InputStream;
import java.net.*;
public class HelloHttp {
}
接著就可以仿照下列范例建立HTTP连线java网络爬虫代码:
URL url = new URL("");
HttpURLConnection http = (HttpURLConnection) url.openConnection();
http.setRequestMethod("POST");
InputStream input = http.getInputStream();
http.disconnect();
第1行建立一个URL物件,带入参数为想要建立HTTP连线的目的地,例如网站的网址。
第2行建立一个HttpURLConnection物件,并利用URL的openConnection()来建立连线。
第3行利用setRequestMethod()来设定连线的方式,一般分为POST及GET两种。
第4行将连线取得的回应载入到一个InputStream中,然後就可以将InputStream的内容取出应用,以这个例子而言java网络爬虫代码我们取得的会是网页的原始码。
第5行用disconnect()将连线关闭。
将InputStream内容取出应用的范例如下:
byte[] data = new byte[1024];
int idx = input.read(data);
String str = new String(data, 0, idx);
System.out.println(str);
input.close();
针对 str 作 regular expression 处理 , 依照需求取得内容。
java 网络爬虫怎么实现?
1、在打开的ie浏览器窗口右上方点击齿轮图标java网络爬虫代码,选择“Internet选项”,如下图所示java网络爬虫代码:
2、在打开的Internet选项窗口中,切换到安全栏,在安全选卡中点击“自定义级别”,如下图所示:
3、在“安全设置-Internet区域”界面找到“Java小程序脚本”、“活动脚本”,并将这两个选项都选择为“禁用”,然后点击确定,如下图所示:
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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