BeautifulSoup-从JS中提取特定的JSON键值

BeautifulSoup - extract specific JSON key-value from JS(BeautifulSoup-从JS中提取特定的JSON键值)

本文介绍了BeautifulSoup-从JS中提取特定的JSON键值的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我正在处理BeautilfulSoup,并且正在寻找一种在JS元素中获取特定json字符串的方法。

这里是JS:

<script>window.pinball = window.pinball || [];
window.pinball.push(['add', {"srp_cleanup":"inactive","book_visit":"inactive","my_visits":"inactive"}]);
window.Rent = window.Rent || {};
window.Rent.zutron  = {"error_div":".js-generic-error","host":"rent","user_type":null,"zid":null,"origin":null,"provider":null};
window.Rent.book_visit = {"book_visit_host":"http://bookavisit.prod.services.rentpath.com"}
window.Rent.tagging = {"tealium":{"env":"prod","profile":"tealium.rent.com","account":"rentpath"}};
window.Rent.realm   = "rent";
window.Rent.data    = {"floorplans":{"1159255":{"availability":"1 Unit Available","availability_class":"floorplan-available-now","unitstyle":"aa1- 1 Bed/1 Bath","deposit":"","floorplan_id":1159255,"bed":"1 bed","listing_id":"571535","bath":"1 bath","sqft":"763 sqft","rent":"$1950 - $2322 /mo","propertyname":"Reading Commons","fp3dunfurnished":"http://image.rent.com/imgr/52ad5930427b3e739676240c01b7d6cc/650-","fp3dfurnished":"http://image1.rent.com/imgr/07733fbd8c8a6a9134d5e0af77d52cb2/650-","floorplanimage":"http://image.rent.com/imgr/44c2395728fa733c2682506d96ec68f5/650-"},"1159257":{"availability":"2 Units Available","availability_class":"floorplan-available-now","unitstyle":"aa3- 1 Bed/1 Bath","deposit":"","floorplan_id":1159257,"bed":"1 bed","listing_id":"571535","bath":"1 bath","sqft":"893 sqft","rent":"$1995 - $2531 /mo","propertyname":"Reading 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Bath","deposit":"","floorplan_id":1159263,"bed":"2 beds","listing_id":"571535","bath":"2 baths","sqft":"1201 sqft","rent":"Contact for Pricing","propertyname":"Reading Commons","fp3dunfurnished":"http://image1.rent.com/imgr/33e2bb30c9aa1fcdbbf8ce4882a18fcd/650-","fp3dfurnished":"http://image.rent.com/imgr/c4d4df83e18f2b12c8cae6dab523769b/650-","floorplanimage":"http://image.rent.com/imgr/11ac88f52ca904e7646e03b6791f8455/650-"},"1159266":{"availability":"UNAVAILABLE","availability_class":"floorplan-available-later","unitstyle":"bc7- 2 Bed/2 Bath","deposit":"","floorplan_id":1159266,"bed":"2 beds","listing_id":"571535","bath":"2 baths","sqft":"1461 sqft","rent":"Contact for Pricing","propertyname":"Reading Commons","fp3dunfurnished":"http://image.rent.com/imgr/0a3887c07a7bc05670a826cd5562c49d/650-","fp3dfurnished":"http://image.rent.com/imgr/efa94735904b40ba463cbd26bc5504cf/650-","floorplanimage":"http://image1.rent.com/imgr/36413f72b93f0b0ed2f4f89337ef719d/650-"},"1159264":{"availability":"UNAVAILABLE","availability_class":"floorplan-available-later","unitstyle":"bc5- 2 Bed/2 Bath","deposit":"","floorplan_id":1159264,"bed":"2 beds","listing_id":"571535","bath":"2 baths","sqft":"1325 sqft","rent":"Contact for Pricing","propertyname":"Reading Commons","floorplanimage":"http://image.rent.com/imgr/ce1627742dbca97cc44d726b1d906fc3/650-"},"1159267":{"availability":"UNAVAILABLE","availability_class":"floorplan-available-later","unitstyle":"bcl1-2 Bed/2 Bath","deposit":"","floorplan_id":1159267,"bed":"2 beds","listing_id":"571535","bath":"2 baths","sqft":"1500 sqft","rent":"Contact for Pricing","propertyname":"Reading Commons","fp3dunfurnished":"http://image.rent.com/imgr/a5888b34db510f6932af116e5197ce0c/650-","fp3dfurnished":"http://image1.rent.com/imgr/68f33736e29613562d9a5618eec1a4c6/650-","floorplanimage":"http://image1.rent.com/imgr/d7a833b56639b121178ddc86ac074754/650-"},"1159261":{"availability":"UNAVAILABLE","availability_class":"floorplan-available-later","unitstyle":"bc2- 2 Bed/2 Bath","deposit":"","floorplan_id":1159261,"bed":"2 beds","listing_id":"571535","bath":"2 baths","sqft":"1187 sqft","rent":"Contact for Pricing","propertyname":"Reading Commons","fp3dunfurnished":"http://image.rent.com/imgr/33e2bb30c9aa1fcdbbf8ce4882a18fcd/650-","fp3dfurnished":"http://image.rent.com/imgr/c4d4df83e18f2b12c8cae6dab523769b/650-","floorplanimage":"http://image1.rent.com/imgr/11ac88f52ca904e7646e03b6791f8455/650-"},"1159265":{"availability":"UNAVAILABLE","availability_class":"floorplan-available-later","unitstyle":"bc6- 2 Bed/2 Bath","deposit":"","floorplan_id":1159265,"bed":"2 beds","listing_id":"571535","bath":"2 baths","sqft":"1400 sqft","rent":"Contact for Pricing","propertyname":"Reading Commons","fp3dunfurnished":"http://image.rent.com/imgr/3f80d6e4386db5f450a6750c1a537b84/650-","fp3dfurnished":"http://image1.rent.com/imgr/f54aefd699a9ed3f1d8b6fb8e4ce1500/650-","floorplanimage":"http://image1.rent.com/imgr/b78bda34547615be4973da38dbd9a10f/650-"},"1159260":{"availability":"UNAVAILABLE","availability_class":"floorplan-available-later","unitstyle":"bc1- 2 Bed/2 Bath","deposit":"","floorplan_id":1159260,"bed":"2 beds","listing_id":"571535","bath":"2 baths","sqft":"1121 sqft","rent":"Contact for Pricing","propertyname":"Reading Commons","fp3dunfurnished":"http://image1.rent.com/imgr/3b4e4306d4cc2317bd271888532405a0/650-","fp3dfurnished":"http://image1.rent.com/imgr/8ca6a08b9c4eed76575520b4f1dcc03c/650-","floorplanimage":"http://image.rent.com/imgr/f25bcd28009d72a91f02d4e125340b65/650-"},"1159268":{"availability":"1 Unit 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Commons","fp3dunfurnished":"http://image1.rent.com/imgr/86b5248dfbaef2534218a8bdb724d93e/650-","fp3dfurnished":"http://image.rent.com/imgr/ee01414c664925a3463bad279f943363/650-","floorplanimage":"http://image.rent.com/imgr/ba58885223be2f4f8bfd1588d9ddca9e/650-"}},"reviews":{"startingrecordnumber":1,"totalnumberofmatchingrecords":18,"numberofrecordsreturned":10,"numberofpages":2,"endingrecordnumber":10,"pagenumber":1,"numberofrecordsperpage":10},"listing":{"id":"571535","name":"Reading Commons","address_full":"7 Archstone Circle, Reading, MA 01867","phone_desktop":"(781) 205-2341","visits_enabled":true}};
window.Rent.mapbox_api_key = "pk.eyJ1IjoibmhnbWFwYm94IiwiYSI6ImNpb2VrYW5uazAwbHp5OG0yYmp6bms5bjYifQ.4RylIPWDNDEie2NreUsbig";
window.Rent.asset_host = "rent.assets.rentpathcdn.com";

window.zutron_host = "http://zutron.primedia.com";
window.ONESEARCH_URL = "http://onesearch.svc.primedia.com";

window.Rent.pageType = "pdp";

// these two globals are used in onesearch.js, not sure where else
window.channel = "apartments";
window.APPLICATION = "rent";

window.googletag = window.googletag || {};
window.googletag.cmd = window.googletag.cmd || [];

// SID is used by the Moving Leads Service
window.Rent.MOVING_LEADS_SID = 96;</script>

我能够通过BeautifulSoup拉出JS,并且我正在查找与window.Rent.data键相对应的json字符串。

是否有无需求助于re即可完成此操作的方法?

推荐答案

想法是将正则表达式模式与捕获组一起使用。然后,使用该正则表达式通过文本定位script元素,然后从脚本本身提取子字符串。然后,您可以使用json.loads()将JSON字符串加载到Python对象中:

import json
import re

from bs4 import BeautifulSoup

data = """
your HTML here"""

soup = BeautifulSoup(data, "html.parser")

pattern = re.compile(r"window.Rent.datas+=s+({.*?});
")
script = soup.find("script", text=pattern)

data = pattern.search(script.text).group(1)
data = json.loads(data)
print(data)

还有另一种方式-JavaScript解析器-I've experimented with slimit on StackOverflow a couple of times,请查看。

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