使用高德API可视化查看租房信息

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租房问题一直是在外奋斗的人很头疼的问题,尤其对于刚毕业出校的大学生,如何在价格、舒适、上班距离等各方面因素中选择一个最适合自己的答案。之前以深圳为例,发过深圳租房简明分析,但在适用性方面还存在很多问题,在知乎上看到有分享高德api和python解决租房问题,因此记录下来,方便更多人学习,项目课地址:高德API+Python解决租房问题。

整体项目主要分为两部分,即使用python抓取租房数据和使用高德api及数据可视化查看租房信息。

一.python 代码

python代码使用了beautifulsoup、requests、csv库,最终会在本地生成rent.csv文件,保存抓取到的租房数据。

#-*- coding:utf-8 -*-from bs4 import BeautifulSoupfrom urlparse import urljoinimport requestsimport csv#深圳租房信息地址,价格区间1000-4000,数据来源58品牌公寓url = "http://sz.58.com/pinpaigongyu/pn/{page}/?minprice=1000_4000"#已完成的页数序号,初时为0page = 0#保存文件csv_file = open("rent.csv","wb") csv_writer = csv.writer(csv_file, delimiter=',')while True:    page += 1    print "fetch: ", url.format(page=page)    response = requests.get(url.format(page=page))    html = BeautifulSoup(response.text)    house_list = html.select(".list > li")    # 循环在读不到新的房源时结束    if not house_list:        break    for house in house_list:        house_title = house.select("h2")[0].string.encode("utf8")        house_url = urljoin(url, house.select("a")[0]["href"])        house_info_list = house_title.split()        # 如果第二列是公寓名则取第一列作为地址        if "公寓" in house_info_list[1] or "青年社区" in house_info_list[1]:            house_location = house_info_list[0]        else:            house_location = house_info_list[1]        house_money = house.select(".money")[0].select("b")[0].string.encode("utf8")        csv_writer.writerow([house_title, house_location, house_money, house_url])csv_file.close()
二.html及js代码

index.html代码如下,通过调用高德api生成地图,在窗体上添加一个选择框体。

<html><head>    <meta charset="utf-8">    <meta http-equiv="X-UA-Compatible" content="IE=edge">    <meta name="viewport" content="initial-scale=1.0, user-scalable=no, width=device-width">    <title>毕业生租房</title>    <link rel="stylesheet" href="http://cache.amap.com/lbs/static/main1119.css" />    <link rel="stylesheet" href="http://cache.amap.com/lbs/static/jquery.range.css" />    <script src="http://cache.amap.com/lbs/static/jquery-1.9.1.js"></script>    <script src="http://cache.amap.com/lbs/static/es5.min.js"></script>    <script src="http://webapi.amap.com/maps?v=1.3&key=5407348a92a67591a9f03dcfab278f0d&plugin=AMap.ArrivalRange,AMap.Scale,AMap.Geocoder,AMap.Transfer,AMap.Autocomplete"></script>    <script src="http://cache.amap.com/lbs/static/jquery.range.js"></script>    <style>    .control-panel {        position: absolute;        top: 30px;        right: 20px;    }        .control-entry {        width: 280px;        background-color: rgba(119, 136, 153, 0.8);        font-family: fantasy, sans-serif;        text-align: left;        color: white;        overflow: auto;        padding: 10px;        margin-bottom: 10px;    }        .control-input {        margin-left: 120px;    }        .control-input input[type="text"] {        width: 160px;    }        .control-panel label {        float: left;        width: 120px;    }        #transfer-panel {        position: absolute;        background-color: white;        max-height: 80%;        overflow-y: auto;        top: 30px;        left: 20px;        width: 250px;    }    </style></head><body>    <div id="container"></div>    <div class="control-panel">        <div class="control-entry">            <label>选择工作地点:</label>            <div class="control-input">                <input id="work-location" type="text">            </div>        </div>        <div class="control-entry">            <label>选择通勤方式:</label>            <div class="control-input">                <input type="radio" name="vehicle" value="SUBWAY,BUS" onClick="takeBus(this)" checked/> 公交+地铁                <input type="radio" name="vehicle" value="SUBWAY" onClick="takeSubway(this)" /> 地铁            </div>        </div>        <div class="control-entry">            <label>导入房源文件:</label>            <div class="control-input">                <input type="file" name="file" onChange="importRentInfo(this)" />            </div>        </div>    </div>    <div id="transfer-panel"></div>    <script src="rent.js"></script></body></html>

rent.js代码如下,完成对事件的监听和功能调用。

var map = new AMap.Map("container", {        resizeEnable: true,        zoomEnable: true,        center: [114.085947, 22.547],        zoom: 11    });    var scale = new AMap.Scale();    map.addControl(scale);    var arrivalRange = new AMap.ArrivalRange();    var x, y, t, vehicle = "SUBWAY,BUS";    var workAddress, workMarker;    var rentMarkerArray = [];    var polygonArray = [];    var amapTransfer;    var infoWindow = new AMap.InfoWindow({        offset: new AMap.Pixel(0, -30)    });    var auto = new AMap.Autocomplete({        input: "work-location"    });        AMap.event.addListener(auto, "select", workLocationSelected);    function takeBus(radio) {        vehicle = radio.value;        loadWorkLocation()    }    function takeSubway(radio) {        vehicle = radio.value;        loadWorkLocation()    }    function importRentInfo(fileInfo) {        var file = fileInfo.files[0].name;        loadRentLocationByFile(file);    }    function workLocationSelected(e) {        workAddress = e.poi.name;        loadWorkLocation();    }    function loadWorkMarker(x, y, locationName) {        workMarker = new AMap.Marker({            map: map,            title: locationName,            icon: 'http://webapi.amap.com/theme/v1.3/markers/n/mark_r.png',            position: [x, y]        });    }    function loadWorkRange(x, y, t, color, v) {        arrivalRange.search([x, y], t, function(status, result) {            if (result.bounds) {                for (var i = 0; i < result.bounds.length; i++) {                    var polygon = new AMap.Polygon({                        map: map,                        fillColor: color,                        fillOpacity: "0.4",                        strokeColor: color,                        strokeOpacity: "0.8",                        strokeWeight: 1                    });                    polygon.setPath(result.bounds[i]);                    polygonArray.push(polygon);                }            }        }, {            policy: v        });    }    function addMarkerByAddress(address) {        var geocoder = new AMap.Geocoder({            city: "深圳",            radius: 1000        });        geocoder.getLocation(address, function(status, result) {            if (status === "complete" && result.info === 'OK') {                var geocode = result.geocodes[0];                rentMarker = new AMap.Marker({                    map: map,                    title: address,                    icon: 'http://webapi.amap.com/theme/v1.3/markers/n/mark_b.png',                    position: [geocode.location.getLng(), geocode.location.getLat()]                });                rentMarkerArray.push(rentMarker);                rentMarker.content = "<div>房源:<a target = '_blank' href='http://sz.58.com/pinpaigongyu/?key=" + address + "'>" + address + "</a><div>"                rentMarker.on('click', function(e) {                    infoWindow.setContent(e.target.content);                    infoWindow.open(map, e.target.getPosition());                    if (amapTransfer) amapTransfer.clear();                    amapTransfer = new AMap.Transfer({                        map: map,                        policy: AMap.TransferPolicy.LEAST_TIME,                        city: "深圳市",                        panel: 'transfer-panel'                    });                    amapTransfer.search([{                        keyword: workAddress                    }, {                        keyword: address                    }], function(status, result) {})                });            }        })    }    function delWorkLocation() {        if (polygonArray) map.remove(polygonArray);        if (workMarker) map.remove(workMarker);        polygonArray = [];    }    function delRentLocation() {        if (rentMarkerArray) map.remove(rentMarkerArray);        rentMarkerArray = [];    }    function loadWorkLocation() {        delWorkLocation();        var geocoder = new AMap.Geocoder({            city: "深圳",            radius: 1000        });        geocoder.getLocation(workAddress, function(status, result) {            if (status === "complete" && result.info === 'OK') {                var geocode = result.geocodes[0];                x = geocode.location.getLng();                y = geocode.location.getLat();                loadWorkMarker(x, y);                loadWorkRange(x, y, 60, "#3f67a5", vehicle);                map.setZoomAndCenter(12, [x, y]);            }        })    }    function loadRentLocationByFile(fileName) {        delRentLocation();        var rent_locations = new Set();        $.get(fileName, function(data) {            data = data.split("\n");            data.forEach(function(item, index) {                rent_locations.add(item.split(",")[1]);            });            rent_locations.forEach(function(element, index) {                addMarkerByAddress(element);            });        });    }

三.结果展示
使用本地的webstorm打开页面

 

输入工作地点为深圳北站,红色标记为工作地点,阴影为距离工作地点一小时的区域


倒入之前使用python得到的房源文件,蓝色为可选择的房源


点击任一蓝色标记,可查看其距离工作地点的路径及时长,点击房源即可跳转至58的房源链接


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