I am trying to login via requests and receiving a forbidden response.
import requests
from bs4 import BeautifulSoup
header = {'Host': 'fetlife.com',
'User-Agent': 'Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:56.0) Gecko/20100101 Firefox/56.0',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
'Accept-Language': 'en-US,en;q=0.5',
'Accept-Encoding': 'gzip, deflate, br',
#'Cookie': 'language=en; _fl_sessionid=???',
'Connection': 'keep-alive',
'Upgrade-Insecure-Requests': '1',
'If-None-Match': 'W/"7d905c0faa3450522096dfbfaea7558a"',
'Cache-Control': 'max-age=0',
}
login_post_url = str('https://fetlife.com/users/sign_in')
internal_url = str('https://fetlife.com/home')
with requests.Session() as sesh:
response = sesh.get(login_post_url, headers=header)
html = response.content
soup = BeautifulSoup(html, 'lxml')
hidden_tags = soup.find_all("input", type="hidden")
payload = {'utf8': '/',
'authenticity_token': soup.find(attrs={'name': 'authenticity_token'})['value'],
'user[otp_attempt]': 'step_1',
'user_locale': 'en',
'user[login]': 'un',
'user[password]': 'pw',
}
sesh.post(login_post_url, data=payload, headers=header)
response = sesh.get(internal_url)
html = response.text
print(html)
Related
I am trying to scrape this website 'https://swimming.org.nz/results.html'. In the form that comes up, I am filling in only the Age column as 8 to 8. I am using the following code to scrape the table as suggested elsewhere in StackOverflow. I am unable to get the table. How to get all the tables for this age group 8 to 8.
import requests
from bs4 import BeautifulSoup
s = requests.Session()
r = s.get("https://swimming.org.nz/results.html")
soup = BeautifulSoup(r.content, "html.parser")
iframe_src = soup.select_one("x-MS_FIELD_AGE.FROM.L").attrs["src"]
r = s.get(f"https:{iframe_src}")
soup = BeautifulSoup(r.content, "html.parser")
for row in soup.select("x-form-text x-form-field"):
print("\t".join([e.text for e in row.select("th, td")]))
You will see that it is not necessary using BeautifulSoup if you' ve look at the developer tools on your browser. Sending request is below and response type is xml. You don't need any scraping tool. You can get all of that data changing the StartRowIndexand MaximumRowCount.
import requests
url = "https://connect.swimming.org.nz/snz-wrap-public/pages/pageRequestHandler?tunnelTarget=tableData%2F%3F&data_file=MS.COMP.RESULTS&dict_file=MS.COMP.RESULTS&doGet=true"
payload="StartRowIndex=0&MaximumRowCount=100&sort=BY-DSND%20COMP.DATE%20BY-DSND%20STAGE&dir=ASC&tid=extTable1620108707767_4352538&selectCriteria=GET-LIST%20CMS_TABLE_19483_65507_076_184811_&extraColumns=%3CColumns%20DynamicLinkRoot%3D%22https%3A%2F%2Fconnect.swimming.org.nz%3A443%2Fsnz-wrap-public%2Fworkflows%2F%22%3E%3CColumn%3E%3CColumnName%3EExpander%3C%2FColumnName%3E%3CField%3EFRAGMENT_DISPLAY.SPLITS%3C%2FField%3E%3CShowInExpander%3Etrue%3C%2FShowInExpander%3E%3C%2FColumn%3E%3CColumn%3E%3CFieldExpression%3E%7BMEMBER.FORE1%7D%20%7BMEMBER.SURNAME%7D%3C%2FFieldExpression%3E%3CField%3EEXPRESSION_FIELD_1%3C%2FField%3E%3CColumnName%3EName%2520%3C%2FColumnName%3E%3CWidth%3E130%3C%2FWidth%3E%3C%2FColumn%3E%3CColumn%3E%3CField%3EXGENDER%3C%2FField%3E%3CColumnName%3EGender%3C%2FColumnName%3E%3CWidth%3E50%3C%2FWidth%3E%3C%2FColumn%3E%3CColumn%3E%3CField%3EENTRANT.AGE%3C%2FField%3E%3CColumnName%3EAge%3C%2FColumnName%3E%3CWidth%3E35%3C%2FWidth%3E%3C%2FColumn%3E%3CColumn%3E%3CFieldExpression%3E%7BXCATEGORY2%7D%3C%2FFieldExpression%3E%3CField%3ECATEGORY2.NUM%24%24SNZ%3C%2FField%3E%3CColumnName%3EDistance%3C%2FColumnName%3E%3CWidth%3E70%3C%2FWidth%3E%3C%2FColumn%3E%3CColumn%3E%3CField%3EXCATEGORY1%3C%2FField%3E%3CColumnName%3EStroke%3C%2FColumnName%3E%3CWidth%3E70%3C%2FWidth%3E%3C%2FColumn%3E%3CColumn%3E%3CFieldExpression%3E%7BTIME%24%24SNZ%7D%3C%2FFieldExpression%3E%3CField%3ERESULT.TIME.MILLISECONDS%3C%2FField%3E%3CColumnName%3ETime%2520%3C%2FColumnName%3E%3CWidth%3E70%3C%2FWidth%3E%3CAlign%3Eright%3C%2FAlign%3E%3C%2FColumn%3E%3CColumn%3E%3CField%3EFINA.POINTS%24%24SNZ%3C%2FField%3E%3CColumnName%3EFINA%2520Points%3C%2FColumnName%3E%3CWidth%3E85%3C%2FWidth%3E%3CAlign%3Eright%3C%2FAlign%3E%3C%2FColumn%3E%3CColumn%3E%3CField%3EFINA.YEAR%24%24SNZ%3C%2FField%3E%3CColumnName%3EPoints%2520Year%3C%2FColumnName%3E%3CWidth%3E80%3C%2FWidth%3E%3CAlign%3Eright%3C%2FAlign%3E%3C%2FColumn%3E%3CColumn%3E%3CField%3E%24DATE%24COMP.DATE%3C%2FField%3E%3CColumnName%3EDate%3C%2FColumnName%3E%3CWidth%3E70%3C%2FWidth%3E%3CAlign%3Eright%3C%2FAlign%3E%3C%2FColumn%3E%3CColumn%3E%3CField%3EXEVENT.CODE%3C%2FField%3E%3CColumnName%3EMeet%3C%2FColumnName%3E%3CWidth%3E190%3C%2FWidth%3E%3C%2FColumn%3E%3CColumn%3E%3CField%3EPARAMETER1%3C%2FField%3E%3CColumnName%3ECourse%3C%2FColumnName%3E%3CWidth%3E50%3C%2FWidth%3E%3C%2FColumn%3E%3C%2FColumns%3E&extraColumnsDownload=%3CDownloadColumns%20DynamicLinkRoot%3D%22https%3A%2F%2Fconnect.swimming.org.nz%3A443%2Fsnz-wrap-public%2Fworkflows%2F%22%3E%3CColumn%3E%3CField%3EXGENDER%3C%2FField%3E%3CColumnName%3EGender%3C%2FColumnName%3E%3C%2FColumn%3E%3CColumn%3E%3CField%3EENTRANT.AGE%3C%2FField%3E%3CColumnName%3EAge%3C%2FColumnName%3E%3C%2FColumn%3E%3CColumn%3E%3CField%3EXCATEGORY2%3C%2FField%3E%3CColumnName%3EDistance%3C%2FColumnName%3E%3C%2FColumn%3E%3CColumn%3E%3CField%3EXCATEGORY1%3C%2FField%3E%3CColumnName%3EStroke%3C%2FColumnName%3E%3C%2FColumn%3E%3CColumn%3E%3CField%3ETIME%24%24SNZ%3C%2FField%3E%3CColumnName%3ETime%2520%3C%2FColumnName%3E%3C%2FColumn%3E%3CColumn%3E%3CField%3EFINA.POINTS%24%24SNZ%3C%2FField%3E%3CColumnName%3EFINA%2520Points%3C%2FColumnName%3E%3C%2FColumn%3E%3CColumn%3E%3CField%3EFINA.YEAR%24%24SNZ%3C%2FField%3E%3CColumnName%3EPoints%2520Year%3C%2FColumnName%3E%3C%2FColumn%3E%3CColumn%3E%3CField%3E%24DATE%24COMP.DATE%3C%2FField%3E%3CColumnName%3EDate%3C%2FColumnName%3E%3C%2FColumn%3E%3CColumn%3E%3CField%3EXEVENT.CODE%3C%2FField%3E%3CColumnName%3EMeet%3C%2FColumnName%3E%3C%2FColumn%3E%3CColumn%3E%3CField%3EPARAMETER1%3C%2FField%3E%3CColumnName%3ECourse%3C%2FColumnName%3E%3C%2FColumn%3E%3C%2FDownloadColumns%3E"
headers = {
'Connection': 'keep-alive',
'sec-ch-ua': '" Not A;Brand";v="99", "Chromium";v="90", "Google Chrome";v="90"',
'accept': '*/*',
'x-requested-with': 'XMLHttpRequest',
'accept-language': 'tr-TR,tr;q=0.9,en-US;q=0.8,en;q=0.7,ru;q=0.6',
'sec-ch-ua-mobile': '?0',
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.93 Safari/537.36',
'content-type': 'application/x-www-form-urlencoded; charset=UTF-8',
'Origin': 'https://connect.swimming.org.nz',
'Sec-Fetch-Site': 'same-origin',
'Sec-Fetch-Mode': 'cors',
'Sec-Fetch-Dest': 'empty',
'Referer': 'https://connect.swimming.org.nz/snz-wrap-public/workflows/COMP.RESULTS.FIND',
'Cookie': 'JSESSIONID=93F2FEA63BA41ECB2505E2D1CD76374D; _ga=GA1.3.1735786808.1620106921; _gid=GA1.3.1806138988.1620106921'
}
response = requests.request("POST", url, headers=headers, data=payload)
print(response.text)
I'm trying to scrape website with BS4. This is the website that I have:
https://www.wsl.ch/de/ueber-die-wsl/news/alle-news.html
I want to scrape all urls of the news articles that are on this page. If I just put url in request lib, I will not get URLs of the website. But If i go to inspect page -> network, there is one post request that returns HTML that has all urls ( href-s ).
I have to use post request In order to get all URLs on the website, but the problem is that Im always getting error 408.
url = 'https://www.wsl.ch/de/ueber-die-wsl/news/alle-news.filter.html?tx_wslfilter_filter%5Baction%5D=ajax&tx_wslfilter_filter%5Bcontroller%5D=Filter&cHash=88a50dfb12c7c7e03ce68f244dbfda20'
headers = {
'Accept-Encoding': 'gzip, deflate, br',
'Accept-Language': 'en-GB,en-US;q=0.9,en;q=0.8',
'Connection': 'keep-alive',
'Content-Length': '757',
'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',
'Host': 'www.wsl.ch',
'Origin': 'https://www.wsl.ch',
'Referer': 'https://www.wsl.ch/de/ueber-die-wsl/news/alle-news.html',
'Sec-Fetch-Dest': 'empty',
'Sec-Fetch-Mode': 'cors',
'Sec-Fetch-Site': 'same-origin',
'Server-Timing': 'miss, db;dur=63, app;dur=55.2'}
response = requests.post(url, headers = headers)
print(response)
soup = BeautifulSoup(response.content, 'html.parser')
print(soup)
I have tried with and without headers but its the same.
What should I do?
You are not sending body in your post request.
I have corrected your code, now you will not get 408 (timeout)
from bs4 import BeautifulSoup
import requests
url = 'https://www.wsl.ch/de/ueber-die-wsl/news/alle-news.filter.html?tx_wslfilter_filter%5Baction%5D=ajax&tx_wslfilter_filter%5Bcontroller%5D=Filter&cHash=88a50dfb12c7c7e03ce68f244dbfda20'
headers = {
'Accept-Encoding': 'gzip, deflate, br',
'Accept-Language': 'en-GB,en-US;q=0.9,en;q=0.8',
'Connection': 'keep-alive',
'Content-Length': '757',
'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',
'Host': 'www.wsl.ch',
'Origin': 'https://www.wsl.ch',
'Referer': 'https://www.wsl.ch/de/ueber-die-wsl/news/alle-news.html',
'Sec-Fetch-Dest': 'empty',
'Sec-Fetch-Mode': 'cors',
'Sec-Fetch-Site': 'same-origin',
'Server-Timing': 'miss, db;dur=63, app;dur=55.2'}
data='tx_wslfilter_filter%5Btype%5D=news&tx_wslfilter_filter%5Bslf%5D=0&tx_wslfilter_filter%5Blang%5D=0&tx_wslfilter_filter%5Bpage%5D=1&tx_wslfilter_filter%5Bperpage%5D=10&tx_wslfilter_filter%5Bkeyword%5D=&tx_wslfilter_filter%5Ball%5D=1&tx_wslfilter_filter%5Bcategory%5D%5B10%5D=10&tx_wslfilter_filter%5Bcategory%5D%5B11%5D=11&tx_wslfilter_filter%5Bcategory%5D%5B12%5D=12&tx_wslfilter_filter%5Bcategory%5D%5B13%5D=13&tx_wslfilter_filter%5Bcategory%5D%5B1%5D=1&tx_wslfilter_filter%5Btag%5D%5B76%5D=76&tx_wslfilter_filter%5Btag%5D%5B1%5D=1&tx_wslfilter_filter%5Btag%5D%5B11%5D=11&tx_wslfilter_filter%5Btag%5D%5B7%5D=7&tx_wslfilter_filter%5Btag%5D%5B9%5D=9&tx_wslfilter_filter%5Btag%5D%5B8%5D=8&tx_wslfilter_filter%5Btag%5D%5B52%5D=52&tx_wslfilter_filter%5Byear%5D=0'
response = requests.post(url,data=data, headers = headers)
print(response)
soup = BeautifulSoup(response.content, 'html.parser')
print(soup)
Im trying to get data from one api, and I have key for it, but Im always getting an 401 error and when I print it {"error":"API key required."}.
What am I doing wrong?
I have tried these 5 things, and error is always the same:
import json
import requests
api_url = "https://idir.uta.edu/claimbuster/api/v2/score/text/Denver%20lost%20to%20LA%20Lakers"
response = requests.get(api_url, headers = {'Authorization': 'Token xxx'})
#response = requests.get(api_url, headers = {'Authorization': 'xxx'})
#response = requests.get(api_url, headers = {'Auth': 'Token xxx'})
#response = requests.get(api_url, headers = {'Auth': 'xxx'})
#response = requests.get(api_url,key ='xxx')
#response = requests.get(api_url, headers = {'x-api-key': 'Token xxx'}
The documentation says it should be
import requests
headers = {
'Connection': 'keep-alive',
'Accept': 'application/json, text/javascript, */*; q=0.01',
'X-Requested-With': 'XMLHttpRequest',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.121 Safari/537.36',
'x-api-key': 'Token xxx',
'Sec-Fetch-Site': 'same-origin',
'Sec-Fetch-Mode': 'cors',
'Sec-Fetch-Dest': 'empty',
'Referer': '',
'Accept-Language': '*',
}
response = requests.get(api_url, headers=headers)
I am trying to scrape a webpage that posts prices for the Mexico power market. The webpage has checkboxes that need to be checked for the file with prices to show up. Once I get the relevant box checked, I want to pull the links on the page and check if the particular file I am looking for is posted. I am getting stuck in the first part where I get the checkbox selected using requests.post. I used fiddler to track the changes when I post and passed those arguments in through requests.post.
I was expecting to be able to parse out all the 'href' links in the response but I didn't get any. Any help in redirecting me toward a solution would be greatly appreciated.
Below is the relevant portion of the code I am using:
data{
"ctl00$ContentPlaceHolder1$toolkit":"ctl00$ContentPlaceHolder1$UpdatePanel1|ctl00$ContentPlaceHolder1$treePrincipal",
"_EVENTTARGET": "ctl00$ContentPlaceHolder1$treePrincipal",
"__EVENTARGUMENT":{"commandName":"Check","index":"0:0:0:0"},
"__VIEWSTATE": "/verylongstringhere",
"__VIEWSTATEGENERATOR":"6B88769A",
"__EVENTVALIDATION":"/wEdAAPhpIpHlL5kdIfX6MRCtKcRwfFVx5pEsE3np13JV2opXVEvSNmVO1vU+umjph0Dtwe41EcPKcg0qvxOp6m6pWTIV4q0ZOXSBrDwJTrxjo3dZg==",
"ctl00_ContentPlaceHolder1_treePrincipal_ClientState":{"expandedNodes":[],"collapsedNodes":
[],"logEntries":[],"selectedNodes":[],"checkedNodes":["0","0:0","0:0:0","0:0:0:0"],"scrollPosition":0},
"ctl00_ContentPlaceHolder1_ListViewNodos_ClientState":"",
"ctl00_ContentPlaceHolder1_NotifAvisos_ClientState":"",
"ctl00$ContentPlaceHolder1$NotifAvisos$hiddenState":"",
"ctl00_ContentPlaceHolder1_NotifAvisos_XmlPanel_ClientState":"",
"ctl00_ContentPlaceHolder1_NotifAvisos_TitleMenu_ClientState":"",
"__ASYNCPOST":"true"
}
headers = {
'Accept': '*/*',
'Accept-Encoding': 'gzip, deflate, br',
'Accept-Language': 'en-US,en;q=0.9',
'Cache-Control': 'no-cache',
'Connection': 'keep-alive',
'Content-Length': '26255',
'Content-Type': 'application/x-www-form-urlencoded; charset=UTF-8',
'Cookie': '_ga=GA1.3.1966843891.1571403663; _gid=GA1.3.1095695800.1571665852',
'Host': 'www.cenace.gob.mx',
'Origin': 'https://www.cenace.gob.mx',
'Referer': 'https://www.cenace.gob.mx/SIM/VISTA/REPORTES/PreEnergiaSisMEM.aspx',
'Sec-Fetch-Mode': 'cors',
'Sec-Fetch-Site': 'same-origin',
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko)
Chrome/77.0.3865.120 Safari/537.36',
'X-MicrosoftAjax': 'Delta=true',
'X-Requested-With': 'XMLHttpRequest'
}
url ="https://www.cenace.gob.mx/SIM/VISTA/REPORTES/PreEnergiaSisMEM.aspx"
r= requests.post(url,data=data, headers=headers, verify=False)
This is what Fiddler showed on the Post:enter image description here
Maybe you have incorrect __EVENTVALIDATION or __VIEWSTATE fields. You can get the initial page & scrape all the inputs with the initial values.
The following code grabs the input on the first requests, edit them like you did & then send the POST request scraping all the href values :
import requests
import json
from bs4 import BeautifulSoup
base_url = "https://www.cenace.gob.mx"
url = "{}/SIM/VISTA/REPORTES/PreEnergiaSisMEM.aspx".format(base_url)
r = requests.get(url)
soup = BeautifulSoup(r.text, "html.parser")
payload = dict([
(t['name'],t.get('value',''))
for t in soup.select("input")
if t.has_attr('name')
])
payload['ctl00$ContentPlaceHolder1$toolkit'] = 'ctl00$ContentPlaceHolder1$UpdatePanel1|ctl00$ContentPlaceHolder1$treePrincipal'
payload['__EVENTTARGET'] = 'ctl00$ContentPlaceHolder1$treePrincipal'
payload['__ASYNCPOST'] = 'true'
payload['__EVENTARGUMENT']= json.dumps({
"commandName":"Check",
"index":"0:1:1:0"
})
payload['ctl00_ContentPlaceHolder1_treePrincipal_ClientState'] = json.dumps({
"expandedNodes":[], "collapsedNodes":[],
"logEntries":[], "selectedNodes":[],
"checkedNodes":["0","0:1","0:1:1","0:1:1:0"],
"scrollPosition":0
})
r = requests.post(url, data = payload, headers= {
"User-Agent": "Mozilla/5.0 (X11; Linux x86_64)"
})
soup = BeautifulSoup(r.text, "html.parser")
print([
"{}/{}".format(base_url, t["href"])
for t in soup.findAll('a')
if not t["href"].startswith('javascript')
])
i want to scrape the url below
https://turo.com/search?airportCode=EWR&customDelivery=true&defaultZoomLevel=11&endDate=04%2F05%2F2019&endTime=11%3A00&international=true&isMapSearch=false&itemsPerPage=200&location=EWR&locationType=Airport&maximumDistanceInMiles=30&sortType=RELEVANCE&startDate=03%2F05%2F2019&startTime=10%3A00
i want all the href link of the cars listed so that i can scrape forward
but i am unable to get it
please help
You can pull in the json response with the query and work with that:
import requests
from pandas.io.json import json_normalize
base_url = 'https://turo.com'
url = 'https://turo.com/api/search?'
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36',
'Accept': '*/*',
'Accept-Encoding': 'gzip, deflate, br',
'Accept-Language': 'en-US,en;q=0.9',
'Connection': 'keep-alive',
'Host': 'turo.com',
'Referer': 'https://turo.com/search'}
params = {
'airportCode': 'EWR',
'customDelivery': 'true',
'defaultZoomLevel': '11',
'endDate': '04/05/2019',
'endTime': '11:00',
'international': 'true',
'isMapSearch': 'false',
'itemsPerPage': '200',
'location': 'EWR',
'locationType': 'Airport',
'maximumDistanceInMiles': '30',
'sortType': 'RELEVANCE',
'startDate': '03/05/2019',
'startTime': '10:00'}
response = requests.get(url, headers=headers, params=params)
data = response.json()
search_id = data['searchId']
print (search_id)
for ele in data['list']:
link = ele['vehicle']['url']
print (base_url + link)
links_list = [ base_url + ele['vehicle']['url'] for ele in data['list'] ]
# If you want to Manipulate a table of the data
df = json_normalize(data['list'])
Output:
https://turo.com/rentals/cars/nj/jersey-city/ford-mustang/385739
https://turo.com/rentals/suvs/nj/jersey-city/mazda-cx-9/84783
https://turo.com/rentals/cars/nj/chatham-township/mercedes-benz-s-class/439410
https://turo.com/rentals/cars/nj/edgewater/bmw-3-series/360338
https://turo.com/rentals/cars/nj/edgewater/mercedes-benz-s-class/528415
https://turo.com/rentals/cars/nj/jersey-city/mercedes-benz-c-class/546598
https://turo.com/rentals/cars/nj/wallington/bmw-3-series/523288
https://turo.com/rentals/cars/nj/edgewater/mercedes-benz-c-class/402723
https://turo.com/rentals/cars/nj/east-brunswick/dodge-charger/474370
https://turo.com/rentals/cars/nj/dover/mini-cooper/562685
https://turo.com/rentals/cars/nj/east-brunswick/dodge-challenger/245816
https://turo.com/rentals/cars/nj/city-of-orange/bmw-3-series/441085
https://turo.com/rentals/cars/nj/aberdeen-township/chevrolet-corvette/329734
https://turo.com/rentals/suvs/nj/montvale/nissan-rogue/551766
https://turo.com/rentals/cars/nj/haledon/ford-mustang/527092
https://turo.com/rentals/suvs/nj/montvale/toyota-rav4/551789
https://turo.com/rentals/cars/nj/wallington/bmw-3-series/506047
https://turo.com/rentals/suvs/nj/englewood/toyota-rav4/205796
https://turo.com/rentals/cars/nj/jersey-city/audi-tt-rs/454914
https://turo.com/rentals/suvs/nj/newark/jeep-grand-cherokee/547858
https://turo.com/rentals/suvs/nj/scotch-plains/acura-mdx/494289
https://turo.com/rentals/suvs/nj/jersey-city/dodge-journey/371145
https://turo.com/rentals/cars/nj/jersey-city/tesla-model-s/450268
https://turo.com/rentals/cars/nj/ridgefield-park/bmw-m3/479442
https://turo.com/rentals/suvs/nj/edgewater/bmw-x3/509043
https://turo.com/rentals/suvs/nj/lodi/kia-sorento/535604
https://turo.com/rentals/suvs/nj/scotch-plains/bmw-x5/555187
https://turo.com/rentals/suvs/nj/west-new-york/audi-q5/317033
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