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How to extract job description (web-scrapping) from the site using python

I tried to extract job description from a job site. i got all the details except job description. I'm attaching my code and details below. From this code I got company details location and some other datas separately. Like that i need job description of the full jobs. While running appending Job_Description I didn't get any data.
import requests
from bs4 import BeautifulSoup
headers = {
"User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:88.0) Gecko/20100101 Firefox/88.0"
}
url = "https://in.indeed.com/jobs?q=software%20engineer&l=Kerala&sort=date&vjk=ce1481bc5c182a25"
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.110 Safari/537.36'}
soup = BeautifulSoup(requests.get(url, headers=headers).content, "html.parser")
Links = soup.find("div", {"class":"pagination"}).find_all('a')
Page= [tag['href'] for tag in Links]
for pageid in range(0,2):
pageid=10*pageid
website=f'https://in.indeed.com//jobs?q=software+engineer&l=Kerala&sort=date&start={pageid}'
soup = BeautifulSoup(requests.get(website, headers=headers).content, "html.parser")
SubLinks = soup.find("div", {"class":"pagination"}).find_all('a')
Page=list(set(Page+ [tag['href'] for tag in SubLinks]))
for job in soup.select('a[id^="job_"]'):
job_id = job["id"].split("_")[-1]
#s = BeautifulSoup(requests.get(api_url.format(job_id=job_id), headers=headers).content,"html.parser",)
data=[]
Company_Name=[]
Location=[]
Job_Description=[]
for div_block in soup.find_all('span', class_=['companyName',],style=None):
Company_Name.append([line.strip() for line in div_block.stripped_strings])
for div_block in soup.find_all('div', class_=['companyLocation'],style=None):
Location.append([line.strip() for line in div_block.stripped_strings])
for div_block in soup.find_all('div',class_=['jobsearch-JobComponent-description icl-u-xs-mt--md'],style=None):
Job_Description.append([line.strip() for line in div_block.stripped_strings])

Since you are working on the paginated search section of indeed.com you are not going to be getting the full job description unless you select the job and go into it.
With that said, I believe what you are looking for is the job snippet which would give you the results you are looking for based on the search criteria of your code.
for div_block in soup.find_all('div',class_=['job-snippet'],style=None):
Job_Description.append([line.strip() for line in div_block.stripped_strings])
Based on what you are looking for I think you want to actually get all of the data instead of just the snippet so I would consider doing it this way.
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import requests, json
from bs4 import BeautifulSoup
def main():
url = "https://in.indeed.com/jobs?q=software%20engineer&l=Kerala&sort=date&vjk=ce1481bc5c182a25"
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.51 Safari/537.36'}
soup = BeautifulSoup(requests.get(url, headers=headers).content, "html.parser")
job_card = None
for row in str(soup).split('\n'):
if 'window.mosaic.providerData["mosaic-provider-jobcards"]=' in row:
job_card = row.replace('window.mosaic.providerData["mosaic-provider-jobcards"]=', '').replace(';', '')
job_card_data = json.loads(job_card)
job_list = list()
for job in job_card_data['metaData']['mosaicProviderJobCardsModel']['results']:
job_dict = job
job_full_soup_url = 'https://in.indeed.com{}'.format(job['viewJobLink'])
job_full_soup = BeautifulSoup(requests.get(job_full_soup_url, headers=headers).content, "html.parser")
for div_block in job_full_soup.find_all('div', class_=['jobsearch-jobDescriptionText'],style=None):
job_dict['full_description'] = [line.strip() for line in div_block.stripped_strings]
job_list.append(job_dict)
print(json.dumps(job_list, indent=4))
if __name__ == '__main__':
main()

How to get a specific tr element without class or id from a html document with BeafutifulSoup?

I have got this webpage https://www.epant.gr/apofaseis-gnomodotiseis/item/1451-apofasi-730-2021.html
and I need to scrape the second last row from the large table.
In other words, I need to get this (Ένδικα Μέσα -) from the table.
This is my progress so far
from bs4 import BeautifulSoup as soup
import requests
import csv
URL = 'https://www.epant.gr/apofaseis-gnomodotiseis/item/1451-apofasi-730-2021.html'
headers1 = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.45 Safari/537.36",
"X-Amzn-Trace-Id": "Root=1-61acac03-6279b8a6274777eb44d81aae",
"X-Client-Data": "CJW2yQEIpLbJAQjEtskBCKmdygEIuevKAQjr8ssBCOaEzAEItoXMAQjLicwBCKyOzAEI3I7MARiOnssB" }
page = requests.get(URL, headers = headers1)
soup1 = BeautifulSoup(page.content,"html.parser")
soup2 = BeautifulSoup(soup1.prettify(), "html.parser")
soup3 = soup2.find('td', text = "Ένδικα Μέσα")
print(soup3)
Thank you very much
Thank you very much, it works like a charm

You near to a solution - Clean up you soups and try to get the parent of your result, this will give you the whole tr:
soup.find('td', text = "Ένδικα Μέσα").parent.get_text(strip=True)
or find_next('td) to access the text of its neighbour:
soup.find('td', text = "Ένδικα Μέσα").find_next('td').text
Example
from bs4 import BeautifulSoup
import requests
import csv
URL = 'https://www.epant.gr/apofaseis-gnomodotiseis/item/1451-apofasi-730-2021.html'
headers1 = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.45 Safari/537.36",
"X-Amzn-Trace-Id": "Root=1-61acac03-6279b8a6274777eb44d81aae",
"X-Client-Data": "CJW2yQEIpLbJAQjEtskBCKmdygEIuevKAQjr8ssBCOaEzAEItoXMAQjLicwBCKyOzAEI3I7MARiOnssB" }
page = requests.get(URL, headers = headers1)
soup = BeautifulSoup(page.content,"html.parser")
row = soup.find('td', text = "Ένδικα Μέσα").parent.get_text(strip=True)
print(row)
Output
Eνδικα Μέσα -

You can use the selector for that field. There's a easy way to copy the selector for a element using the inspector of your browser and clicking the html tag that you want in copy > Copy Selector.
With beautiful soup you can use the soup.select(selector). The documentation describes this better.

How do I get the price from this website using BeautifulSoup?

So I'm new to parsing HTML with Python, and I want to get the price of this lumber from the following link:
https://www.lowes.com/pd/2-in-x-4-in-x-8-ft-Whitewood-Stud-Common-1-5-in-x-3-5-in-x-96-in-Actual/1000074211
This is what I have so far, but I'm getting an error that says "AttributeError: 'NoneType' object has no attribute 'text'" :
import requests
from bs4 import BeautifulSoup
HEADERS = {'User-Agent':"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML,
like Gecko) Chrome/91.0.4472.164 Safari/537.36"}
URL = "https://www.lowes.com/pd/2-in-x-4-in-x-8-ft-Whitewood-Stud-Common-1-5-in-x-3-5-in-x-96-
in-Actual/1000074211"
r = requests.get(URL,headers=HEADERS)
c=r.content
soup = BeautifulSoup(c, "html.parser")
price_box = soup.find("div", class_="sq-bqyKva.ehfErk")
price=price_box.text.strip()
print(price)
Why am I getting this error and how can I fix it?

I can't see the site, but most probably you're getting the error because BS cannot find any element with a class called "sq-bqyKva.ehfErk".
Can you print out the soup and search for the class manually to see that it actually exists?
Also, based on the class name it looks like the div you are trying to find is dynamically generated using JavaScript which means it is not loaded into DOM when the request is made, which means BS won't be able to find it. If this is the case you might want to look into using other tools such as Selenium.

The site is dynamic, relying on a script to populate the page with data from a JSON string, which can be found in a script tag and parsed via the json module to access the price:
from bs4 import BeautifulSoup as soup
import json
headers = {'User-Agent':"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.164 Safari/537.36"}
d = soup(requests.get('https://www.lowes.com/pd/2-in-x-4-in-x-8-ft-Whitewood-Stud-Common-1-5-in-x-3-5-in-x-96-in-Actual/1000074211', headers=headers).text, 'html.parser')
data = json.loads(d.select_one('script[data-react-helmet="true"][type="application/ld+json"]').contents[0])
price = data[2]['offers']['price']
Output:
5.98

This is a really difficult site. You will not be able to access the price using that class name. Web scraping becomes difficult if your site has javascript DOM elements. "View Source" will get you the response that Beautifulsoup will get. On closer inspection, your page price is inside a json value under a "script" tag:
import requests
from bs4 import BeautifulSoup
import json
HEADERS = {'User-Agent':"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML,like Gecko) Chrome/91.0.4472.164 Safari/537.36"}
URL = "https://www.lowes.com/pd/2-in-x-4-in-x-8-ft-Whitewood-Stud-Common-1-5-in-x-3-5-in-x-96-in-Actual/1000074211"
r = requests.get(URL,headers=HEADERS)
soup = BeautifulSoup(r.content, "html.parser")
contents = soup.find("script")
json_object = json.loads(contents.text)
print(json_object[2]["offers"]["price"])

How to scrape a part of a google search result

I want to scrape the information from AMD stock that google provide.
I have been able to scrape the whole webpage, but as soon I try to get a specific div or class I am not able to find anything and the console returns [].
When scraping the whole page I cannot find those classes either, after searching I found that this is possibly hidden by Javascript and can somehow be accesed with Selenium? I tried to use Selenium Webdriver but this got me nowhere.
This is what i have so far:
import requests
from bs4 import BeautifulSoup
import urllib3
from selenium import webdriver
requests.headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.117 Safari/537.36"}
url = "https://www.google.com/search?q=amd+stock&oq=amd+stock&aqs=chrome..69i57j35i39j0l5j69i60.1017j0j7&sourceid=chrome&ie=UTF-8"
source_code = requests.get(url, requests.headers)
soup = BeautifulSoup(source_code.text, "html.parser")
amd = soup.find_all('div', attrs = {'class': 'aviV4d'})
print(amd)
When printing 'soup' I get the whole page, but when printing 'amd' I get [].

Your code is ok, but use headers= parameter in request() call:
import requests
from bs4 import BeautifulSoup
headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.117 Safari/537.36"}
url = "https://www.google.com/search?q=amd+stock&oq=amd+stock&aqs=chrome..69i57j35i39j0l5j69i60.1017j0j7&sourceid=chrome&ie=UTF-8"
source_code = requests.get(url, headers=headers)
soup = BeautifulSoup(source_code.text, "html.parser")
amd = soup.find('div', attrs = {'class': 'aviV4d'})
print(amd.get_text(strip=True, separator='|').split('|')[:3])
Prints:
['Advanced Micro Devices', 'NASDAQ: AMD', '48,16']

That's a dynamic page, it's not gonna give the stock price by just requesting the page source via requests. You will have to use scraping to do that. Try this instead:
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
options = Options()
options.add_argument("--incognito")
chromedriver_path = './chromedriver'
driver = webdriver.Chrome(executable_path=chromedriver_path, options=options)
driver.get("https://www.google.com/search?q=amd+stock&oq=amd+stock&aqs=chrome..69i57j35i39j0l5j69i60.1017j0j7&sourceid=chrome&ie=UTF-8")
time.sleep(2)
x = driver.find_element_by_xpath('//*[#id="knowledge-finance-wholepage__entity-summary"]/div/g-card-section/div/g-card-section/span[1]/span/span[1]')
print(x.text)
driver.quit()
Output:
48.16

I believe you need to add amd.response or amd.text
print(amd.response)
print(amd.text)

Why is my CSS selector not working with beautifulsoup but works fine as a chrome console query?

I have a css selector that works fine when executing it in the chrome JS Console, but does not work when running it through beautifulsoup on one example, yet works on another (I'm unable to discern the difference between the two).
url_1 = 'https://www.amazon.com/s?k=bacopa&page=1'
url_2 = 'https://www.amazon.com/s?k=acorus+calamus&page=1'
The following query works fine on both when executing it in the chrome console.
document.querySelectorAll('div.s-result-item')
Then running the two urls through beautifulsoup, this is the output I get.
url_1 (works)
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36'}
r = requests.get(url_1, headers=headers)
soup = BeautifulSoup(r.content, 'html.parser')
listings = soup .select('div.s-result-item')
print(len(listings))
output: 53 (correct)
url_2 (does not work)
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36'}
r = requests.get(url_2, headers=headers)
soup = BeautifulSoup(r.content, 'html.parser')
listings = soup.select('div.s-result-item')
print(len(listings))
output: 0 (incorrect - expected: 49)
Does anyone know what might be going on here and how I can get the css selector to work with beautifulsoup?

I think it is the html. Change the parser to 'lxml'. You can also shorten your css selector to just class and re-use connection with Session object for efficiency.
import requests
from bs4 import BeautifulSoup as bs
urls = ['https://www.amazon.com/s?k=bacopa&page=1','https://www.amazon.com/s?k=acorus+calamus&page=1']
with requests.Session() as s:
for url in urls:
r = s.get(url, headers = {'User-Agent' : 'Mozilla/5.0'})
soup = bs(r.content, 'lxml')
listings = soup.select('.s-result-item')
print(len(listings))

Try selenium library to download the webpage
from selenium import webdriver
from bs4 import BeautifulSoup
url_1 = 'https://www.amazon.com/s?k=bacopa&page=1'
url_2 = 'https://www.amazon.com/s?k=acorus+calamus&page=1'
#set chrome webdriver path
driver = webdriver.Chrome('/usr/bin/chromedriver')
#download webpage
driver.get(url_2)
soup = BeautifulSoup(driver.page_source, 'html.parser')
listings = soup.find_all('div',{'class':'s-result-item'})
print(len(listings))
O/P:
url_1: 50
url_2 : 48