从zoopla访问属性信息的python包
pyzoopla的Python项目详细描述
pyzoopla
从Zoopla网站访问功能的python包。允许您搜索当前待售/待租房产的详细信息，以及查询房价和价值
安装
$ pip install pyzoopla
单元测试
运行此包的单元测试：
$ python -m pytest tests/
示例用法
查找特定区域的房价，并获取稍后使用的房产ID列表。
>>> from pyzoopla.prices import PricesSearch
>>> results = PricesSearch(location='sw7')
>>> print(results)
https://www.zoopla.co.uk/house-prices/hp20/
>>> results.assumed_search_location
'SW7'
>>> results.total_properties
8944
>>> results.total_pages
224
>>> results.market_activity()
{'period': 20, 'property_type': 'all', 'average_price': 1139919, 'num_sales': 7229, 'average_value': 2609459, 'value_change': 1994923}
>>> results.market_activity(period=1, property_type='terraced')
{'period': 1, 'property_type': 'terraced', 'average_price': 4494545, 'num_sales': 22, 'average_value': 4347526, 'value_change': -319628}
>>> results.all_properties(page_limit=1)
['23188074', '23188094', '23188099', '23188106', '23188193', '23188201', '23188221', '23188313', '23188342', '23188427', '23188464', '23188484', '23188503', '23188543', '23188575', '23188615', '23188657', '23188914', '23188966', '23188979', '23189038', '23189178', '23189398', '23189512', '23189584', '23189685', '23189699', '23189892', '23190158', '23190179', '23190216', '23190302', '23190337', '23190344', '23190382', '23190516', '23190549', '23190747', '23190786', '23191054']
查找特定属性的详细信息。
>>> from pyzoopla.properties import PropertyDetails
>>> prop = PropertyDetails(property_id='23191054')
>>> prop
https://www.zoopla.co.uk/property/1-kendrick-mews/london/sw7-3hg/23191054
>>> prop.details()
{'acorn_type': '16', 'activity': 'property_details', 'country_code': 'gb', 'incode': '3HG', 'listing_id': '23191054', 'location': 'SW73HG', 'num_baths': 'null', 'num_beds': 'null', 'outcode': 'SW7', 'page': '/property/details/', 'postal_area': 'SW', 'price': '2408399', 'price_estimate': '2408399', 'price_last_sale': '850000', 'price_temptme': 'null', 'property_type': '', 'rental_value': 'null', 'section': 'home-values'}
>>> prop.location()
{'is_approximate': False, 'latitude': 51.493346, 'longitude': -0.176681}
>>> prop.property_value()
{'buy': {'value': 2408000, 'lower_bound': 2047000, 'upper_bound': 2770000}, 'rent': {'value': nan, 'lower_bound': nan, 'upper_bound': nan}, 'confidence': nan}
>>> prop.value_change()
period value value_change perc_change
0 last sold (Jul 2002) 850000 1558000 183.3
1 1 month ago 2403200 4000 0.2
2 3 months ago 2412850 5950 -0.2
3 6 months ago 2282450 124800 5.5
4 1 year ago 2434800 26800 -1.1
5 2 years ago 2427400 18900 -0.8
6 3 years ago 2197100 211150 9.6
7 4 years ago 2213250 194400 8.8
8 5 years ago 1887150 521000 27.6
>>> prop.sales_history()
{'date': ['Jul 2002', 'Feb 2000'], 'status': ['Sold', 'Sold'], 'price': [850000, 660000], 'listing_id': [nan, nan]}
pyzoopla也可以在命令行上使用。要为给定位置刮除属性详细信息（您可以复制并粘贴视频中的命令）：
有关完整选项的详细信息：python3 -m pyzoopla -h
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