这次给大家带来地图搜租房功能实现，地图搜租房功能实现的注意事项有哪些，下面就是实战案例，一起来看一下。

layout: post
title: 半个小时教你写一个毕设之地图搜租房
category: 其他
date: 2018-05-23
tags:

• 其他

半个小时教你写一个毕设之地图搜租房

首先需要一个Python3环境,怎么准备我就不多说了,实在不会的出门右转看一下廖雪峰老师的博客.

HTML部分

• 代码来自:高德API+Python解决租房问题,简单改了下加载数据部分

代码路径:/static/index.html

    
    
    
    
    
    
    
    
    
    
    


    

    

        

            选择工作地点：
            

                
            
        

        

            选择通勤方式：
            

                 公交+地铁
                 地铁
            
        

    

    

    

Python flask部分

Python3环境,使用安装Flask,pymysql,BeautifulSoup

pip install Flask;
pip install pymysql;
pip install beautifulsoup4;
pip install requests;

然后直接上代码咯.

路径:/app.py

from flask import Flask, request
from flask import jsonify
from flask import render_template
from flask import Response
import requests
from bs4 import BeautifulSoup
import pymysql
app = Flask(name)
@app.route("/get_houses_db/")
def get_houses_db():
    # 从数据库读出来的数据,url为房源url,address为房源定位地址
    houses = []
    # Connect to the database
    connection = pymysql.connect(host='127.0.0.1',
                                 user='root',
                                 password='123',
                                 db='你的数据库名字',
                                 charset='utf8mb4',
                                 cursorclass=pymysql.cursors.DictCursor)
    try:
        with connection.cursor() as cursor:
            # Read a single record
            sql = "SELECT 你的URL字段,你的地址字段 FROM 你的房源数据表 where 1=1;"
            keyword = request.args.get('keyword')
            if keyword is not None:
                sql = sql + "查询字段 like %%s%" % keyword
            cursor.execute(sql)
            houses = cursor.fetchall()
    finally:
        connection.close()
    return jsonify(houses)
@app.route("/get_houses", methods=['POST', 'GET'])
def get_houses():
    # 直接从网页获取数据,url为房源url,address为房源定位地址
    houses = []
    city = request.args.get('city')
    if city is None:
        city = 'bj'
    city_url = 'http://%s.58.com' % city
    for page_num in range(1, 10):
        url = "%s/pinpaigongyu/pn/%d/" % (city_url, page_num)
        headers = {
            'connection': "keep-alive",
            'upgrade-insecure-requests': "1",
            'user-agent': "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/66.0.3359.181 Safari/537.36",
            'accept': "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8",
            'accept-encoding': "gzip, deflate",
            'accept-language': "zh-CN,zh;q=0.9,en;q=0.8,da;q=0.7",
            'cookie': "f=n; f=n; id58=c5/njVsEqPqC7y9vB/RHAg==; 58tj_uuid=ac94c044-cbb8-451c-b6be-974f90197010; new_uv=1; utm_source=; spm=; init_refer=https%253A%252F%252Fcn.bing.com%252F; als=0; f=n; new_session=0; qz_gdt=; Hm_lvt_dcee4f66df28844222ef0479976aabf1=1527032264,1527032267,1527032270,1527032380; Hm_lpvt_dcee4f66df28844222ef0479976aabf1=1527032421; ppStore_fingerprint=3283C76981CCD1090B42ACBBF624A4C9613FE967CDC69C58%EF%BC%BF1527032420843",
            'cache-control': "no-cache",
        }
        response = requests.request("GET", url, headers=headers)
        htmlSoup = BeautifulSoup(response.text, "html.parser")
        ul = htmlSoup.find(attrs={"class": "list"})
        if ul is None:
            continue
        li_list = ul.find_all("li")
        if li_list is None:
            continue
        for li in li_list:
            house = {}
            house['url'] = '%s/%s' % (city_url, li.find("a")['href'])
            house['address'] = li.find("h2").text
            houses.append(house)
    return jsonify(houses)
@app.route('/')
def index():
    return app.send_static_file('index.html')
if name == 'main':
    app.run(port=8888)
# python3 安装flask之后,安装命令pip install Flask
# 运行 python app.py

效果图:

相信看了本文案例你已经掌握了方法，更多精彩请关注php中文网其它相关文章！

推荐阅读：

天天团购系统

天天团购系统是一套强大的开源团购程序，采用PHP+mysql开发，系统内置支付宝、财付通、GOOGLE地图等接口，支持短信发送团购券和实物团购快递发货等；另外可通过Ucenter模块，与网站已有系统无缝整合，实现用户同步注册、登陆、退出。 天天团购系统是一套创新的开源团购程序，拥有多达10项首创功能，同时支持虚拟和实物团购，内置类似淘宝的快递配送体系，并提供强大的抽奖、邀请返利等营销功能，让您轻松

下载

JS中的JSON和Math使用案例分析

EasyCanvas绘图库在Pixeler项目开发中使用实战总结

PromiseA+的实现步骤详解