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Visible and search URLs for webscraping

When I try to apply filters on the website before webscaping - it yields me to the following URL - https://www.marktplaats.nl/l/auto-s/p/2/#f:10898,10882
However, when I apply it in my script to retrieve href for each and every advertisement, it yields results from this website - https://www.marktplaats.nl/l/auto-s/p/2, completely neglecting 2 of my filters (namely #f:10898,10882).
Can you please advise me what is my problem?
import requests
import bs4
import pandas as pd
frames = []
for pagenumber in range (0,2):
url = 'https://www.marktplaats.nl/l/auto-s/p/'
add_url='/#f:10898,10882'
txt = requests.get(url + str(pagenumber)+add_url)
soup = bs4.BeautifulSoup(txt.text, 'html.parser')
soup_table = soup.find('ul', 'mp-Listings mp-Listings--list-view')
for car in soup_table.findAll('li'):
link = car.find('a')
sub_url = 'https://www.marktplaats.nl/' + link.get('href')
sub_soup = requests.get(sub_url)
soup1 = bs4.BeautifulSoup(sub_soup.text, 'html.parser')

I would suggest that you use their api instead which seems to be open.
If you open the link you will see all the same listings you are searching for (try to find something to format the json, since it will look like just a bunch a text), with the appropriate filters and no need to parse html. You can also modify it easily in request just by changing the headers.
https://www.marktplaats.nl/lrp/api/search?attributesById[]=10898&attributesById[]=10882&l1CategoryId=91&limit=30&offset=0
In code it would look something like this:
def getcars():
url = 'https://www.marktplaats.nl/lrp/api/search'
querystring = {
'attributesById[]': 10898,
'attributesById[]': 10882,
'l1CategoryId': 91,
'limit': 30,
'offset': 0
}
headers = {
}
response = requests.get(url, headers=headers, params=querystring)
x = response.json()
return x
cars = getcars()

Problems with data retrieving using Python web scraping

I wrote a simple code for scraping data from a web page but I mention all the thing like object class with tag but my program does not scrape data. One more thing there is an email that I also want to scrape but not know how to mention its id or class. Could you please guide me - how can I fix this issue? Thanks!
Here is my code:
import requests
from bs4 import BeautifulSoup
import csv
def get_page(url):
response = requests.get(url)
if not response.ok:
print('server responded:', response.status_code)
else:
soup = BeautifulSoup(response.text, 'html.parser') # 1. html , 2. parser
return soup
def get_detail_data(soup):
try:
title = soup.find('hi',class_="page-header",id=False).text
except:
title = 'empty'
print(title)
try:
email = soup.find('',class_="",id=False).text
except:
email = 'empty'
print(email)
def main():
url = "https://www.igrc.org/clergydetail/2747164"
#get_page(url)
get_detail_data(get_page(url))
if __name__ == '__main__':
main()

As noticed the value of the email is not in plain text. The html is loaded via JS in a script tag :
<script type="text/javascript">document.write(String.fromCharCode(60,97,32,104,114,101,102,61,34,35,34,32,115,116,121,108,101,61,34,117,110,105,99,111,100,101,45,98,105,100,105,58,98,105,100,105,45,111,118,101,114,114,105,100,101,59,100,105,114,101,99,116,105,111,110,58,114,116,108,59,34,32,111,110,99,108,105,99,107,61,34,116,104,105,115,46,104,114,101,102,61,83,116,114,105,110,103,46,102,114,111,109,67,104,97,114,67,111,100,101,40,49,48,57,44,57,55,44,49,48,53,44,49,48,56,44,49,49,54,44,49,49,49,44,53,56,44,49,49,52,44,49,49,49,44,57,56,44,54,52,44,49,48,57,44,49,48,49,44,49,49,54,44,49,48,52,44,49,49,49,44,49,48,48,44,49,48,53,44,49,49,53,44,49,49,54,44,52,54,44,57,57,44,57,57,41,59,34,62,38,35,57,57,59,38,35,57,57,59,38,35,52,54,59,38,35,49,49,54,59,38,35,49,49,53,59,38,35,49,48,53,59,38,35,49,48,48,59,38,35,49,49,49,59,38,35,49,48,52,59,38,35,49,49,54,59,38,35,49,48,49,59,38,35,49,48,57,59,38,35,54,52,59,38,35,57,56,59,38,35,49,49,49,59,38,35,49,49,52,59,60,47,97,62));</script>
which contains all the characters code (ascii code). When decoded will gives :
cc.tsidohtem#bor
which needs to be decoded too. We just needs the mailto which is present in onclick (the content in the mailto is unchanged whereas the text of the a tag is reversed (using direction: rtl as noticed by Hugo) :
mailto:john#doe.inc
The following python code extracts the mail :
import requests
from bs4 import BeautifulSoup
import re
r = requests.get("https://www.igrc.org/clergydetail/2747164")
soup = BeautifulSoup(r.text, 'html.parser')
titleContainer = soup.find(class_ = "page-header")
title = titleContainer.text.strip() if titleContainer else "empty"
emailScript = titleContainer.findNext("script").text
def parse(data):
res = re.search('\(([\d+,]*)\)', data, re.IGNORECASE)
return "".join([
chr(int(i))
for i in res.group(1).split(",")
])
emailData1 = parse(emailScript)
email = parse(emailData1)
print(title)
print(email.split(":")[1])
One could reproduce this encoding the other way around using the following code :
def encode(data):
return ",".join([str(ord(i)) for i in data])
mail = "john#doe.inc"
encodedMailTo = encode("mailto:" + mail)
encodedHtmlEmail = "".join(["&#" + str(ord(i)) + ";" for i in mail])
htmlContainer = f'{encodedHtmlEmail}'
encodedHtmlContainer = encode(htmlContainer)
scriptContainer = f'<script type="text/javascript">document.write(String.fromCharCode({encodedHtmlContainer}));</script>'
print(scriptContainer)

Problem sending data through post request in Python

I am trying to input a decision start and end date into 2 input boxes on the Gosport Council website by sending a post request. Whenever I print out the text received from after I send the request it gives me the info shown on the input page, not the loaded page
import requests
payload = {
"applicationDecisionStart": "1/8/2018",
"applicationDecisionEnd": "1/10/2018",
}
with requests.Session() as session:
r = session.get("https://publicaccess.gosport.gov.uk/online-applications/search.do?action=advanced", timeout=10, data=payload)
print(r.text)
If I execute it I want it to print out the HTML with the href links for example
<a href="/online-applications/applicationDetails.do?keyVal=PEA12JHO07E00&activeTab=summary">
But my code won't show anything like this

I observe the POST, not GET which you are doing, is as follows (ignoring empty fields in POST):
from bs4 import BeautifulSoup as bs
import requests
payload = {
'caseAddressType':'Application'
,'date(applicationDecisionStart)' :'1/8/2018'
,'date(applicationDecisionEnd)': '1/10/2018'
, 'searchType' : 'Application'
}
with requests.Session() as s:
r = s.post('https://publicaccess.gosport.gov.uk/online-applications/advancedSearchResults.do?action=firstPage', data = payload)
soup = bs(r.content, 'lxml')
info = [(item.text.strip(), item['href']) for item in soup.select('#searchresults a')]
print(info)
## later pages
#https://publicaccess.gosport.gov.uk/online-applications/pagedSearchResults.do?action=page&searchCriteria.page=2
Loop over pages:
from bs4 import BeautifulSoup as bs
import requests
payload = {
'caseAddressType':'Application'
,'date(applicationDecisionStart)' :'1/8/2018'
,'date(applicationDecisionEnd)': '1/10/2018'
, 'searchType' : 'Application'
}
with requests.Session() as s:
r = s.post('https://publicaccess.gosport.gov.uk/online-applications/advancedSearchResults.do?action=firstPage', data = payload)
soup = bs(r.content, 'lxml')
info = [(item.text.strip(), item['href']) for item in soup.select('#searchresults a')]
print(info)
pages = int(soup.select('span + a.page')[-1].text)
for page in range(2, pages + 1):
r = s.get('https://publicaccess.gosport.gov.uk/online-applications/pagedSearchResults.do?action=page&searchCriteria.page={}'.format(page))
soup = bs(r.content, 'lxml')
info = [(item.text.strip(), item['href']) for item in soup.select('#searchresults a')]
print(info)

the url and data is incorrect
use Chrome to analysis the response
press f12 to open Developer tools,change to item "network".then submit your page,analysis the first request initiated by Chrome.
what you need:
Hearders-general-request url
Hearders-request headers
Hearders-data
you need some packages to parser th html, such as bs4

Scraping and parsing multi-page (aspx) table

I'm trying to scrape information on greyhound races. For example, I want to scrape http://www.gbgb.org.uk/RaceCard.aspx?dogName=Hardwick%20Serena. This page shows all results for the dog Hardwick Serena, but it is split over several pages.
Inspecting the page, it shows under the 'next page' button:
<input type="submit" name="ctl00$ctl00$mainContent$cmscontent$DogRaceCard$lvDogRaceCard$ctl00$ctl03$ctl01$ctl12" value=" " title="Next Page" class="rgPageNext">.
I was hoping for a HTML link, that I could use for the next iteration of the scrape, but no luck.
Further inspection, by looking at network traffic, shows that the browser send a horribly long (hashed?) string for __VIEWSTATE, among others. Likely to protect the database?
I'm looking for a way to scrape all pages of one dog, either by iterating over all pages, or by increasing the page length to show 100+ lines on page 1. The underlying database is .aspx.
I'm using Python 3.5 and BeautifulSoup.
current code:
import requests
from bs4 import BeautifulSoup
url = 'http://www.gbgb.org.uk/RaceCard.aspx?dogName=Hardwick%20Serena'
with requests.session() as s:
s.headers['user-agent'] = 'Mozilla/5.0'
r = s.get(url)
soup = BeautifulSoup(r.content, 'html5lib')
target = 'ctl00$ctl00$mainContent$cmscontent$DogRaceCard$btnFilter_input'
data = { tag['name']: tag['value']
for tag in soup.select('input[name^=ctl00]') if tag.get('value')
}
state = { tag['name']: tag['value']
for tag in soup.select('input[name^=__]')
}
data.update(state)
numberpages = int(str(soup.find('div', 'rgWrap rgInfoPart')).split(' ')[-2].split('>')[1].split('<')[0])
# for page in range(last_page + 1):
for page in range(numberpages):
data['__EVENTTARGET'] = target.format(page)
#data['__VIEWSTATE'] = target.format(page)
print(10)
r = s.post(url, data=data)
soup = BeautifulSoup(r.content, 'html5lib')
tables = soup.findChildren('table')
my_table = tables[9]
rows = my_table.findChildren(['th', 'tr'])
tabel = [[]]
for i in range(len(rows)):
cells = rows[i].findChildren('td')
tabel.append([])
for j in range(len(cells)):
value = cells[j].string
tabel[i].append(value)
table = []
for i in range(len(tabel)):
if len(tabel[i]) == 16:
del tabel[i][-2:]
table.append(tabel[i])

In this case, for each page requested a POST request is issued with form url encoded parameter __EVENTTARGET & __VIEWSTATE :
__VIEWSTATE can be easily extracted from an input tag
__EVENTTARGET is different for each page and the value is passed from a javacript function for each page link so you can extract it with a regex :
<a href="javascript:__doPostBack('ctl00$ctl00$mainContent$cmscontent$DogRaceCard$lvDogRaceCard$ctl00$ctl03$ctl01$ctl07','')">
<span>2</span>
</a>
The python script :
from bs4 import BeautifulSoup
import requests
import re
# extract data from page
def extract_data(soup):
tables = soup.find_all("div", {"class":"race-card"})[0].find_all("tbody")
item_list = [
(
t[0].text.strip(), #date
t[1].text.strip(), #dist
t[2].text.strip(), #TP
t[3].text.strip(), #StmHCP
t[4].text.strip(), #Fin
t[5].text.strip(), #By
t[6].text.strip(), #WinnerOr2nd
t[7].text.strip(), #Venue
t[8].text.strip(), #Remarks
t[9].text.strip(), #WinTime
t[10].text.strip(), #Going
t[11].text.strip(), #SP
t[12].text.strip(), #Class
t[13].text.strip() #CalcTm
)
for t in (t.find_all('td') for t in tables[1].find_all('tr'))
if t
]
print(item_list)
session = requests.Session()
url = 'http://www.gbgb.org.uk/RaceCard.aspx?dogName=Hardwick%20Serena'
response = session.get(url)
soup = BeautifulSoup(response.content, "html.parser")
# get view state value
view_state = soup.find_all("input", {"id":"__VIEWSTATE"})[0]["value"]
# get all event target values
event_target = soup.find_all("div", {"class":"rgNumPart"})[0]
event_target_list = [
re.search('__doPostBack\(\'(.*)\',', t["href"]).group(1)
for t in event_target.find_all('a')
]
# extract data for the 1st page
extract_data(soup)
# extract data for each page except the first
for link in event_target_list[1:]:
print("get page {0}".format(link))
post_data = {
'__EVENTTARGET': link,
'__VIEWSTATE': view_state
}
response = session.post(url, data=post_data)
soup = BeautifulSoup(response.content, "html.parser")
extract_data(soup)

Getting data from AJAX in Python

I follow the website and successfully get the AJAX data from jobs page for Apple.com
The teaching website: http://toddhayton.com/2015/03/11/scraping-ajax-pages-with-python/
here is the complete code, which is correct:
import json
import requests
from bs4 import BeautifulSoup
class AppleJobsScraper(object):
def __init__(self):
self.search_request = {
"jobType":"0",
"sortBy":"req_open_dt",
"sortOrder":"1",
"filters":{
"locations":{
"location":[{
"type":"0",
"code":"USA"
}]
}
},
"pageNumber":"0"
}
def scrape(self):
jobs = self.scrape_jobs()
for job in jobs:
#print(job)
pass
def scrape_jobs(self, max_pages=3):
jobs = []
pageno = 0
self.search_request['pageNumber'] = pageno
while pageno < max_pages:
payload = {
'searchRequestJson': json.dumps(self.search_request),
'clientOffset': '-300'
}
r = requests.post(
url='https://jobs.apple.com/us/search/search-result',
data=payload,
headers={
'X-Requested-With': 'XMLHttpRequest'
}
)
s = BeautifulSoup(r.text)
if not s.requisition:
break
for r in s.findAll('requisition'):
job = {}
job['jobid'] = r.jobid.text
job['title'] = r.postingtitle and \
r.postingtitle.text or r.retailpostingtitle.text
job['location'] = r.location.text
jobs.append(job)
# Next page
pageno += 1
self.search_request['pageNumber'] = pageno
return jobs
if __name__ == '__main__':
scraper = AppleJobsScraper()
scraper.scrape()
I almost understand the code provided by the website, except one of a little piece of section.
for r in s.findAll('requisition'):
job = {}
job['jobid'] = r.jobid.text
job['title'] = r.postingtitle and \
r.postingtitle.text or r.retailpostingtitle.text
job['location'] = r.location.text
jobs.append(job)
I am curious about what s.findAll('requisition') means.
Of course, I should print out the website text by print(s.get_text()) to see what the source code of website looks like.
But what I get does not look like a website code, which makes me more confused.
So I want to know why the code can use s.findAll('requisition') to get the data.
And why the code know it can use job['jobid'], job['title'], job['location'] to get the data it wants.
I am really appreciate for your help!

In that code you are using Beautiful Soup, which is a HTML parser. This tool provides to you the findAll method, which will find all the "requisition" tags on the document. So, this methods return a list containing all the matches, and each list element is a Tag object, and as you can read on the docs, a Tag object is a tag in the original document.