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首页  >  文章  >  php教程  >  利用php爬虫分析南京房价

利用php爬虫分析南京房价

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PHP中文网原创
2016-08-20 08:48:202281浏览

利用php爬虫分析南京房价
   前些天看到csdn上的一篇文章，利用python写爬虫来分析上海房价的。感觉挺有意思的。正好最最近写snake后台也写到了文章采集，我也来用php的爬虫来分析一下南京的房价。说干就开始吧。
   本次爬虫的依赖文件: 首先是ares333大神的CURL类。我用的是初期的版本，这是https://github.com/ares333/php-curlmulti大神的github项目地址，他写的curl确实很牛！
  采集用的是phpQuery，不知道这个类的朋友，可以自行百度吧。
  至于数据的来源，我选择安居客，数据量还是可以的，打开安居客选到南京的频道。开始分析他们的页面结构，至于怎么用phpQuery分析页面结构采集的方法，这里就不做详细的介绍了。分析好结构，好，开始建立数据表。首先建立区域表，房屋交易都是分版块的，版块表结构如下CREATE TABLE `area` (<br>  `id` int(11) NOT NULL AUTO_INCREMENT,<br>  `name` varchar(155) NOT NULL COMMENT '南京市区',<br>  `url` varchar(155) NOT NULL COMMENT '房源区域连接',<br>  `pid` int(2) NOT NULL COMMENT '分类',<br>  PRIMARY KEY (`id`)<br>) ENGINE=MyISAM  DEFAULT CHARSET=utf8;    我是首先自己添加的一些区服的数据，其实可以采集这些，因为就那几个区，地址有限，就直接添加了。添加了是14条数据：
利用php爬虫分析南京房价
   初始数据准备好了，就可以开始采集所有的区域版块入口地址了。贴上代码
area.php

<?php
// +----------------------------------------------------------------------
// | 采集区域脚本
// +----------------------------------------------------------------------
// | Author: NickBai <1902822973@qq.com>
// +----------------------------------------------------------------------
set_time_limit(0);
require &#39;init.php&#39;;
//根据大区信息前往抓取
$sql = "select * from `area`";
$area = $db->query( $sql )->fetchAll( PDO::FETCH_ASSOC );
foreach($area as $key=>$vo){
    $url = $vo[&#39;url&#39;];
    $result = $curl->read($url);
    $charset = preg_match("/<meta.+?charset=[^\w]?([-\w]+)/i", $result[&#39;content&#39;], $temp) ? strtolower( $temp[1] ) : "";  
    phpQuery::$defaultCharset = $charset;  //设置默认编码
    $html = phpQuery::newDocumentHTML( $result[&#39;content&#39;] );
    $span = $html[&#39;.items .sub-items a&#39;];
    $st = $db->prepare("insert into area(name,url,pid) values(?,?,?)");
    foreach($span as $v){
        $v = pq( $v );
        //为方便分页抓取,先加入分页规则
        $href = trim( $v->attr(&#39;href&#39;) ) . &#39;p*/#filtersort&#39;;
        $st->execute([ trim( $v->text() ), $href, $vo[&#39;id&#39;]]);
    }
}


采集出的单条数据如下：百家湖    http://nanjing.anjuke.com/sale/baijiahu/p*/#filtersort        

   数据地址都有了，而且页面地址我加了*，这样就可以替换了，打开程序就能开始采集每个模块下的其他分页的书据了。最重要的主程序就要开始了；
   新建hdetail表来记录采集来的房屋数信息:

CREATE TABLE `hdetail` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `pid` int(5) NOT NULL COMMENT &#39;区域id&#39;,
  `square` int(10) DEFAULT NULL COMMENT &#39;面积&#39;,
  `housetype` varchar(55) DEFAULT &#39;&#39; COMMENT &#39;房屋类型&#39;,
  `price` int(10) DEFAULT &#39;0&#39; COMMENT &#39;单价&#39;,
  `allprice` int(10) DEFAULT &#39;0&#39; COMMENT &#39;总价&#39;,
  `name` varchar(155) DEFAULT &#39;&#39; COMMENT &#39;小区名称&#39;,
  `addr` varchar(155) DEFAULT &#39;&#39; COMMENT &#39;小区地址&#39;,
  PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8;

数据库有了，那么主程序奉上。

house.php

<?php
// +----------------------------------------------------------------------
// | 采集各区具体房源信息
// +----------------------------------------------------------------------
// | Author: NickBai <1902822973@qq.com>
// +----------------------------------------------------------------------
set_time_limit(0);
require &#39;init.php&#39;;
//查询各板块数据
$sql = "select * from `area` where id > 14";
$allarea = $db->query($sql)->fetchAll( PDO::FETCH_ASSOC );
//http://www.php.cn/页面不存在时,会跳转到首页
foreach($allarea as $key=>$vo){
    $url = $vo[&#39;url&#39;];
    $i = 1;
    while ( true ){
        $urls = str_replace( "*" , $i, $url);
        $result = $curl->read( $urls );
        if( "http://nanjing.anjuke.com/sale/" == $result[&#39;info&#39;][&#39;url&#39;] ){
            break;
        }
        $charset = preg_match("/<meta.+?charset=[^\w]?([-\w]+)/i", $result[&#39;content&#39;], $temp) ? strtolower( $temp[1] ) : "";  
        phpQuery::$defaultCharset = $charset;  //设置默认编码
        $html = phpQuery::newDocumentHTML( $result[&#39;content&#39;] );
        $p = $html[&#39;#houselist-mod li .house-details&#39;];
        $isGet = count( $p->elements );  //未采集到内容跳出,视为结束
        if( 0 == $isGet ){
            break;
        }
        foreach($p as $v){
            $sql = "insert into hdetail(pid,square,housetype,price,allprice,name,addr) ";
            $pid = $vo[&#39;id&#39;];
            $square =  rtrim( trim( pq($v)->find("p:eq(1) span:eq(0)")->text() ), "平方米");
            $htype = trim( pq($v)->find("p:eq(1) span:eq(1)")->text() );
            $price = rtrim ( trim( pq($v)->find("p:eq(1) span:eq(2)")->text() ), "元/m²");
            $area = explode(" ", trim( pq($v)->find("p:eq(2) span")->text() ) );
    
            $name =  str_replace( chr(194) . chr(160), "", array_shift($area) );   //utf-8中的空格无法用trim去除,所以采用此方法
            $addr = rtrim( ltrim (trim( array_pop($area) ) , "["), "]" );
            $allprice = trim( pq($v)->siblings(".pro-price")->find("span strong")->text() );
            $sql .= " value( ". $pid .",". $square .", &#39;". $htype ."&#39; ,". $price .",". $allprice .", &#39;". $name ."&#39; ,&#39;". $addr ."&#39; )";
            $db->query($sql);
        }
        echo mb_convert_encoding($vo[&#39;name&#39;], "gbk", "utf-8") . " PAGE : ". $i . PHP_EOL;
        $i++;
    }
}

  跳过前面的大区，逐个采集。建议用cmd模式运行这个脚本。因为时间较长，所以用浏览器会导致卡死现象。至于不知道怎么用cmd命令执行php的，自己百度吧。
利用php爬虫分析南京房价
  如果觉得慢的话，你们可以复制几分house.php文件，修改

$sql = "select * from `area` where id > 14";

根据id进行截取，多打开几个cmd执行，就变成多进程模式了。
利用php爬虫分析南京房价
  下面就是等待了，我是8.16号采集的，一共采集了311226条数据。好了现在数有了，就可以开始分析了。我分析的代码如下:

<?php
require "init.php";
$data = unserialize( file_get_contents(&#39;./data/nj.data&#39;) );
if( empty( $data ) ){
    //全南京
    $sql = "select avg(price) price from hdetail";
    $nanjing = intval( $db->query($sql)->fetch( PDO::FETCH_ASSOC )[&#39;price&#39;] );
    //其余数据
    $data = [
        $nanjing,
        getOtherPrice(&#39;2,3,4,5,6,7,8,10&#39;),
        getOtherPrice(&#39;1&#39;),
        getOtherPrice(&#39;2&#39;),
        getOtherPrice(&#39;3&#39;),
        getOtherPrice(&#39;4&#39;),
        getOtherPrice(&#39;5&#39;),
        getOtherPrice(&#39;6&#39;),
        getOtherPrice(&#39;7&#39;),
        getOtherPrice(&#39;8&#39;),
        getOtherPrice(&#39;9&#39;),
        getOtherPrice(&#39;10&#39;),
        getOtherPrice(&#39;11&#39;),
        getOtherPrice(&#39;12&#39;),
        getOtherPrice(&#39;13&#39;)
    ];
    //添加缓存
    file_put_contents(&#39;./data/nj.data&#39;, serialize( $data ));
}
//均价最高TOP10
$sql = "select avg(price) price,name from hdetail GROUP BY name ORDER BY price desc limit 10";
$res = $db->query($sql)->fetchAll( PDO::FETCH_ASSOC );
$x = "";
$y = "";
foreach($res as $vo){
    $x .= "&#39;" . $vo[&#39;name&#39;] . "&#39;,";
    $y .= intval( $vo[&#39;price&#39;] ). ",";
}
//均价最低TOP10
$sql = "select avg(price) price,name from hdetail GROUP BY name ORDER BY price asc limit 10";
$res = $db->query($sql)->fetchAll( PDO::FETCH_ASSOC );
$xl = "";
$yl = "";
foreach($res as $vo){
    $xl .= "&#39;" . $vo[&#39;name&#39;] . "&#39;,";
    $yl .= intval( $vo[&#39;price&#39;] ). ",";
}
//交易房型数据
$sql = "select count(0) allnum, housetype from hdetail GROUP BY housetype order by allnum desc";
$res = $db->query($sql)->fetchAll( PDO::FETCH_ASSOC );
$htype = "";
foreach($res as $vo){
    $htype .= "[ &#39;" . $vo[&#39;housetype&#39;] . "&#39;, " .$vo[&#39;allnum&#39;]. "],";
}
$htype = rtrim($htype, &#39;,&#39;);
//交易的房屋面积数据
$square = [&#39;50平米以下&#39;, &#39;50-70平米&#39;, &#39;70-90平米&#39;, &#39;90-120平米&#39;, &#39;120-150平米&#39;, &#39;150-200平米&#39;, &#39;200-300平米&#39;, &#39;300平米以上&#39;];
$sql = "select count(0) allnum, square from hdetail GROUP BY square";
$squ = $db->query($sql)->fetchAll( PDO::FETCH_ASSOC );
$p50 = 0;
$p70 = 0;
$p90 = 0;
$p120 = 0;
$p150 = 0;
$p200 = 0;
$p250 = 0;
$p300 = 0;
foreach($squ as $key=>$vo){
    if( $vo[&#39;square&#39;] < 50 ){
        $p50 += $vo[&#39;allnum&#39;];
    }
    if( $vo[&#39;square&#39;] >= 50 &&  $vo[&#39;square&#39;] < 70 ){
        $p70 += $vo[&#39;allnum&#39;];
    }
    if( $vo[&#39;square&#39;] >= 70 &&  $vo[&#39;square&#39;] < 90 ){
        $p90 += $vo[&#39;allnum&#39;];
    }
    if( $vo[&#39;square&#39;] >= 90 &&  $vo[&#39;square&#39;] < 120 ){
        $p120 += $vo[&#39;allnum&#39;];
    }
    if( $vo[&#39;square&#39;] >= 120 &&  $vo[&#39;square&#39;] < 150 ){
        $p150 += $vo[&#39;allnum&#39;];
    }
    if( $vo[&#39;square&#39;] >= 150 &&  $vo[&#39;square&#39;] < 200 ){
        $p200 += $vo[&#39;allnum&#39;];
    }
    if( $vo[&#39;square&#39;] >= 200 &&  $vo[&#39;square&#39;] < 300 ){
        $p250 += $vo[&#39;allnum&#39;];
    }
    if( $vo[&#39;square&#39;] >= 300 ){
        $p300 += $vo[&#39;allnum&#39;];
    }
}
$num = [ $p50, $p70, $p90, $p120, $p150, $p200, $p250, $p300 ];
$sqStr = "";
foreach($square as $key=>$vo){
    $sqStr .= "[ &#39;" . $vo . "&#39;, " .$num[$key]. "],";
}
//根据获取ids字符串获取对应的均价信息
function getOtherPrice($str){
    global $db;
    $sql = "select id from area where pid in(" . $str . ")";
    $city = $db->query($sql)->fetchAll( PDO::FETCH_ASSOC );
    $ids = "";
    foreach($city as $v){
        $ids .= $v[&#39;id&#39;] . ",";
    }
    $sql = "select avg(price) price from hdetail where pid in (".rtrim($ids, ",").")";
    $price = intval( $db->query($sql)->fetch( PDO::FETCH_ASSOC )[&#39;price&#39;] );
    return $price;
}
?>
<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>南京房价分析</title>
    <link rel="shortcut icon" href="favicon.ico"> <link href="css/bootstrap.min.css?v=3.3.6" rel="stylesheet">
    <link href="css/font-awesome.min.css?v=4.4.0" rel="stylesheet">
    <link href="css/animate.min.css" rel="stylesheet">
    <link href="css/style.min.css?v=4.1.0" rel="stylesheet">
</head>
<body class="gray-bg">
    <p class="wrapper wrapper-content">
        <p class="row">
            <p class="col-sm-12">
                <p class="row">
                    <p class="col-sm-12">
                        <p class="ibox float-e-margins">
                            <p class="ibox-title">
                                <h5>全南京以及各区二手房均价</h5>
                                <p class="ibox-tools">
                                    <a class="collapse-link">
                                        <i class="fa fa-chevron-up"></i>
                                    </a>
                                    <a class="close-link">
                                        <i class="fa fa-times"></i>
                                    </a>
                                </p>
                            </p>
                            <p class="ibox-content">
                               <p id="container"></p>
                            </p>
                        </p>
                    </p>
                </p>
            </p>
        </p>
        <p class="row">
            <p class="col-sm-6">
                <p class="row">
                    <p class="col-sm-12">
                        <p class="ibox float-e-margins">
                            <p class="ibox-title">
                                <h5>均价最高的小区TOP10</h5>
                                <p class="ibox-tools">
                                    <a class="collapse-link">
                                        <i class="fa fa-chevron-up"></i>
                                    </a>
                                    <a class="close-link">
                                        <i class="fa fa-times"></i>
                                    </a>
                                </p>
                            </p>
                            <p class="ibox-content">
                               <p id="avgpriceh"></p>
                            </p>
                        </p>
                    </p>
                </p>
            </p>
            <p class="col-sm-6">
                <p class="row">
                    <p class="col-sm-12">
                        <p class="ibox float-e-margins">
                            <p class="ibox-title">
                                <h5>均价最低的小区TOP10</h5>
                                <p class="ibox-tools">
                                    <a class="collapse-link">
                                        <i class="fa fa-chevron-up"></i>
                                    </a>
                                    <a class="close-link">
                                        <i class="fa fa-times"></i>
                                    </a>
                                </p>
                            </p>
                            <p class="ibox-content">
                               <p id="avgpricel"></p>
                            </p>
                        </p>
                    </p>
                </p>
            </p>
        </p>
        <p class="row">
            <p class="col-sm-6">
                <p class="row">
                    <p class="col-sm-12">
                        <p class="ibox float-e-margins">
                            <p class="ibox-title">
                                <h5>交易房型比例</h5>
                                <p class="ibox-tools">
                                    <a class="collapse-link">
                                        <i class="fa fa-chevron-up"></i>
                                    </a>
                                    <a class="close-link">
                                        <i class="fa fa-times"></i>
                                    </a>
                                </p>
                            </p>
                            <p class="ibox-content">
                               <p id="htype"></p>
                            </p>
                        </p>
                    </p>
                </p>
            </p>
            <p class="col-sm-6">
                <p class="row">
                    <p class="col-sm-12">
                        <p class="ibox float-e-margins">
                            <p class="ibox-title">
                                <h5>交易房屋面积比例</h5>
                                <p class="ibox-tools">
                                    <a class="collapse-link">
                                        <i class="fa fa-chevron-up"></i>
                                    </a>
                                    <a class="close-link">
                                        <i class="fa fa-times"></i>
                                    </a>
                                </p>
                            </p>
                            <p class="ibox-content">
                               <p id="square"></p>
                            </p>
                        </p>
                    </p>
                </p>
            </p>
        </p>
    </p>
    <script type="text/javascript" src="js/jquery.min.js?v=2.1.4"></script>
    <script type="text/javascript" src="js/bootstrap.min.js?v=3.3.6"></script>
    <script type="text/javascript" src="http://cdn.hcharts.cn/highcharts/highcharts.js"></script>
    <script type="text/javascript">
        $(function () {
            $(&#39;#container&#39;).highcharts({
                chart: {
                    type: &#39;column&#39;
                },
                title: {
                    text: &#39;全南京以及各区二手房均价&#39;
                },
                subtitle: {
                    text: &#39;来源于安居客8.16的数据&#39;
                },
                xAxis: {
                    categories: [&#39;全南京&#39;,&#39;江南八区&#39;,&#39;江宁区&#39;,&#39;鼓楼区&#39;,&#39;白下区&#39;,&#39;玄武区&#39;,&#39;建邺区&#39;,&#39;秦淮区&#39;,&#39;下关区&#39;,&#39;雨花台区&#39;,&#39;浦口区&#39;,&#39;栖霞区&#39;,&#39;六合区&#39;,
                    &#39;溧水区&#39;,&#39;高淳区&#39;,&#39;大厂&#39;],
                    crosshair: true
                },
                yAxis: {
                    min: 0,
                    title: {
                        text: &#39;元/m²&#39;
                    }
                },
                tooltip: {
                    headerFormat: &#39;<span style="font-size:10px">{point.key}</span><table>&#39;,
                    pointFormat: &#39;<tr><td style="color:{series.color};padding:0">{series.name}: </td>&#39; +
                    &#39;<td style="padding:0"><b>{point.y:.1f} 元/m²</b></td></tr>&#39;,
                    footerFormat: &#39;</table>&#39;,
                    shared: true,
                    useHTML: true
                },
                plotOptions: {
                    column: {
                        pointPadding: 0.2,
                        borderWidth: 0,
                        dataLabels:{
                         enabled:true// dataLabels设为true    
                        }
                    } 
                },
                series: [{
                    name: &#39;平均房价&#39;,
                    data: [<?php echo implode(&#39;,&#39;, $data); ?>]
                }]
            });
            //均价最高top10
            $(&#39;#avgpriceh&#39;).highcharts({
                chart: {
                    type: &#39;column&#39;
                },
                title: {
                    text: &#39;均价最高的小区TOP10&#39;
                },
                subtitle: {
                    text: &#39;来源于安居客8.16的数据&#39;
                },
                xAxis: {
                    categories: [<?=$x; ?>],
                    crosshair: true
                },
                yAxis: {
                    min: 0,
                    title: {
                        text: &#39;元/m²&#39;
                    }
                },
                tooltip: {
                    headerFormat: &#39;<span style="font-size:10px">{point.key}</span><table>&#39;,
                    pointFormat: &#39;<tr><td style="color:{series.color};padding:0">{series.name}: </td>&#39; +
                    &#39;<td style="padding:0"><b>{point.y:.1f} 元/m²</b></td></tr>&#39;,
                    footerFormat: &#39;</table>&#39;,
                    shared: true,
                    useHTML: true
                },
                plotOptions: {
                    column: {
                        pointPadding: 0.2,
                        borderWidth: 0,
                        dataLabels:{
                         enabled:true// dataLabels设为true    
                        }
                    } 
                },
                series: [{
                    name: &#39;平均房价&#39;,
                    data: [<?=$y; ?>]
                }]
            });
            //均价最低top10
            $(&#39;#avgpricel&#39;).highcharts({
                chart: {
                    type: &#39;column&#39;
                },
                title: {
                    text: &#39;均价最低的小区TOP10&#39;
                },
                subtitle: {
                    text: &#39;来源于安居客8.16的数据&#39;
                },
                xAxis: {
                    categories: [<?=$xl; ?>],
                    crosshair: true
                },
                yAxis: {
                    min: 0,
                    title: {
                        text: &#39;元/m²&#39;
                    }
                },
                tooltip: {
                    headerFormat: &#39;<span style="font-size:10px">{point.key}</span><table>&#39;,
                    pointFormat: &#39;<tr><td style="color:{series.color};padding:0">{series.name}: </td>&#39; +
                    &#39;<td style="padding:0"><b>{point.y:.1f} 元/m²</b></td></tr>&#39;,
                    footerFormat: &#39;</table>&#39;,
                    shared: true,
                    useHTML: true
                },
                plotOptions: {
                    column: {
                        pointPadding: 0.2,
                        borderWidth: 0,
                        dataLabels:{
                         enabled:true// dataLabels设为true    
                        }
                    } 
                },
                series: [{
                    name: &#39;平均房价&#39;,
                    data: [<?=$yl; ?>]
                }]
            });
             // Radialize the colors
            Highcharts.getOptions().colors = Highcharts.map(Highcharts.getOptions().colors, function (color) {
                return {
                    radialGradient: { cx: 0.5, cy: 0.3, r: 0.7 },
                    stops: [
                        [0, color],
                        [1, Highcharts.Color(color).brighten(-0.3).get(&#39;rgb&#39;)] // darken
                    ]
                };
            });
            //房型类型
            $(&#39;#htype&#39;).highcharts({
                chart: {
                    plotBackgroundColor: null,
                    plotBorderWidth: null,
                    plotShadow: false
                },
                title: {
                    text: &#39;交易的二手房型比例&#39;
                },
                tooltip: {
                    pointFormat: &#39;{series.name}: <b>{point.percentage:.1f}%</b>&#39;
                },
                plotOptions: {
                    pie: {
                        allowPointSelect: true,
                        cursor: &#39;pointer&#39;,
                        dataLabels: {
                            enabled: true,
                            format: &#39;<b>{point.name}</b>: {point.percentage:.1f} %&#39;,
                            style: {
                                color: (Highcharts.theme && Highcharts.theme.contrastTextColor) || &#39;black&#39;
                            },
                            connectorColor: &#39;silver&#39;
                        }
                    }
                },
                series: [{
                    type: &#39;pie&#39;,
                    name: &#39;Browser share&#39;,
                    data: [
                        <?=$htype; ?>
                    ]
                }]
            });
            //房型面积类型
            $(&#39;#square&#39;).highcharts({
                chart: {
                    plotBackgroundColor: null,
                    plotBorderWidth: null,
                    plotShadow: false
                },
                title: {
                    text: &#39;交易的二手房面积比例&#39;
                },
                tooltip: {
                    pointFormat: &#39;{series.name}: <b>{point.percentage:.1f}%</b>&#39;
                },
                plotOptions: {
                    pie: {
                        allowPointSelect: true,
                        cursor: &#39;pointer&#39;,
                        dataLabels: {
                            enabled: true,
                            format: &#39;<b>{point.name}</b>: {point.percentage:.1f} %&#39;,
                            style: {
                                color: (Highcharts.theme && Highcharts.theme.contrastTextColor) || &#39;black&#39;
                            },
                            connectorColor: &#39;silver&#39;
                        }
                    }
                },
                series: [{
                    type: &#39;pie&#39;,
                    name: &#39;Browser share&#39;,
                    data: [
                        <?=$sqStr; ?>
                    ]
                }]
            });
        });
    </script>
</body>
</html>

   

页面效果如下:
利用php爬虫分析南京房价
利用php爬虫分析南京房价
利用php爬虫分析南京房价
利用php爬虫分析南京房价
利用php爬虫分析南京房价
  哈哈，房价果然很是吓人，二手房都这个价钱了。还有什么有趣的信息，你自己可以去发掘。


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