Develop Reference

Finding <p style class using BeautifulSoup

I am trying to scrape MSFT's income statement using code I found here: How to Web scraping SEC Edgar 10-K Dynamic data
They use the 'span' class to narrow the search. I do not see a span, so I am trying to use the <p class with no luck.
Here is my code, it is largely unchanged from the answer given. I changed the base_url and tried to change soup.find to 'p'. Is there a way to find the <p class or, even better, a way to find the income statement chart?
Here is the URL to the statement: https://www.sec.gov/Archives/edgar/data/789019/000156459018019062/msft-10k_20180630.htm
from bs4 import BeautifulSoup
import requests
headers = {"User-agent":"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/77.0.3865.120 Safari/537.36"}
# Obtain HTML for search page
base_url = "https://www.sec.gov/Archives/edgar/data/789019/000156459018019062/msft-10k_20180630.htm"
edgar_resp = requests.get(base_url, headers=headers)
edgar_str = edgar_resp.text
soup = BeautifulSoup(edgar_str, 'html.parser')
s = soup.find('p', recursive=True, string='INCOME STATEMENTS ')
t = s.find_next('table')
trs = t.find_all('tr')
for tr in trs:
if tr.text:
print(list(tr.stripped_strings))
Here is the code from the example:
from bs4 import BeautifulSoup
import requests
headers = {"User-agent":"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/77.0.3865.120 Safari/537.36"}
# Obtain HTML for search page
base_url = "https://www.sec.gov/Archives/edgar/data/200406/000020040621000057/jnj-20210704.htm"
edgar_resp = requests.get(base_url, headers=headers)
edgar_str = edgar_resp.text
soup = BeautifulSoup(edgar_str, 'html.parser')
s = soup.find('span', recursive=True, string='SALES BY SEGMENT OF BUSINESS ')
t = s.find_next('table')
trs = t.find_all('tr')
for tr in trs:
if tr.text:
print(list(tr.stripped_strings))
Thank you!

I'm not sure why that's not working, but you can try this:
s = soup.find('a', attrs={'name':'INCOME_STATEMENTS'})
This should match the <a name="INCOME_STATEMENTS"></a> element inside that paragraph.

BeautifulSoup doesn’t find tags

BeautifulSoup doesn’t find any tag on this page. Does anyone know what the problem can be?
I can find elements on the page with selenium, but since I have a list of pages, I don’t want to use selenium.
import requests
from bs4 import BeautifulSoup
url = 'https://dzen.ru/news/story/VMoskovskoj_oblasti_zapushhen_chat-bot_ochastichnoj_mobilizacii--b093f9a22a32ed6731e4a4ca50545831?lang=ru&from=reg_portal&fan=1&stid=fOB6O7PV5zeCUlGyzvOO&t=1664886434&persistent_id=233765704&story=90139eae-79df-5de1-9124-0d830e4d59a5&issue_tld=ru'
page = requests.get(url)
soup = BeautifulSoup(page.text, 'lxml')
soup.find_all('h1')

You can get the info on that page by adding headers to your requests, mimicking what you can see in Dev tools - Network tab main request to that url. Here is one way to get all links from that page:
import requests
from bs4 import BeautifulSoup as bs
headers = {
'Cookie': 'sso_checked=1',
'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/104.0.5112.79 Safari/537.36'
}
url = 'https://dzen.ru/news/story/VMoskovskoj_oblasti_zapushhen_chat-bot_ochastichnoj_mobilizacii--b093f9a22a32ed6731e4a4ca50545831?lang=ru&from=reg_portal&fan=1&stid=fOB6O7PV5zeCUlGyzvOO&t=1664886434&persistent_id=233765704&story=90139eae-79df-5de1-9124-0d830e4d59a5&issue_tld=ru'
r = requests.get(url, headers=headers)
soup = bs(r.text, 'html.parser')
links = [a.get('href') for a in soup.select('a')]
print(links)
Result printed in terminal:
['/news', 'https://dzen.ru/news', 'https://dzen.ru/news/region/moscow', 'https://dzen.ru/news/rubric/mobilizatsiya', 'https://dzen.ru/news/rubric/personal_feed', 'https://dzen.ru/news/rubric/politics', 'https://dzen.ru/news/rubric/society', 'https://dzen.ru/news/rubric/business', 'https://dzen.ru/news/rubric/world', 'https://dzen.ru/news/rubric/sport', 'https://dzen.ru/news/rubric/incident', 'https://dzen.ru/news/rubric/culture', 'https://dzen.ru/news/rubric/computers', 'https://dzen.ru/news/rubric/science', 'https://dzen.ru/news/rubric/auto', 'https://www.mosobl.kp.ru/online/news/4948743/?utm_source=yxnews&utm_medium=desktop', 'https://www.mosobl.kp.ru/online/news/4948743/?utm_source=yxnews&utm_medium=desktop', 'https://www.mosobl.kp.ru/online/news/4948743/?utm_source=yxnews&utm_medium=desktop', 'https://mosregtoday.ru/soc/v-podmoskove-zapustili-chat-bot-po-voprosam-chastichnoj-mobilizacii/?utm_source=yxnews&utm_medium=desktop', ...]

Python 3 BeautifulSoup Scraping Content After "Read More" Text

I've recently started looking into purchasing some land, and I'm writing a little app to help me organize details in Jira/Confluence to help me keep track of who I've talked to and what I talked to them about in regards to each parcel of land individually.
So, I wrote this little scraper for landwatch(dot)com:
[url is just a listing on the website]
from bs4 import BeautifulSoup
import requests
def get_property_data(url):
headers = ({'User-Agent':
'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.36'})
response = requests.get(url, headers=headers) # Maybe request Url with read more already gone
soup = BeautifulSoup(response.text, 'html5lib')
title = soup.find_all(class_='b442a')[0].text
details = soup.find_all('p', class_='d19de')
price = soup.find_all('div', class_='_260f0')[0].text
deets = []
for i in range(len(details)):
if details[i].text != '':
deets.append(details[i].text)
detail = ''
for i in deets:
detail += '<p>' + i + '</p>'
return [title, detail, price]
Everything works great except that the class d19de has a ton of values hidden behind the Read More button.
While Googling away at this, I discovered How to Scrape reviews with read more from Webpages using BeautifulSoup, however I either don't understand what they're doing well enough to implement it, or this just doesn't work anymore:
import requests ; from bs4 import BeautifulSoup
soup = BeautifulSoup(requests.get("http://www.mouthshut.com/product-reviews/Lakeside-Chalet-Mumbai-reviews-925017044").text, "html.parser")
for title in soup.select("a[id^=ctl00_ctl00_ContentPlaceHolderFooter_ContentPlaceHolderBody_rptreviews_]"):
items = title.get('href')
if items:
broth = BeautifulSoup(requests.get(items).text, "html.parser")
for item in broth.select("div.user-review p.lnhgt"):
print(item.text)
Any thoughts on how to bypass that Read More button? I'm really hoping to do this in BeautifulSoup, and not selenium.
Here's an example URL for testing: https://www.landwatch.com/huerfano-county-colorado-recreational-property-for-sale/pid/410454403

That data is present within a script tag. Here is an example of extracting that content, parsing with json, and outputting land description info as a list:
from bs4 import BeautifulSoup
import requests, json
url = 'https://www.landwatch.com/huerfano-county-colorado-recreational-property-for-sale/pid/410454403'
headers = ({'User-Agent':
'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.36'})
response = requests.get(url, headers=headers) # Maybe request Url with read more already gone
soup = BeautifulSoup(response.text, 'html5lib')
all_data = json.loads(soup.select_one('[type="application/ld+json"]').string)
details = all_data['description'].split('\r\r')
You may wish to examine what else is in that script tag:
from pprint import pprint
pprint(all_data)

How do you extract a body paragraph of text through BeautifulSoup?

I am trying to extract text from websites using BeautifulSoup but willing to explore other options. Currently I am trying to use something like this:
from bs4 import BeautifulSoup
from urllib.request import Request, urlopen
boston_url = 'https://www.mass.gov/service-details/request-for-proposal-rfp-notices'
hdr = {'User-Agent': 'Mozilla/5.0'}
req = Request(boston_url,headers=hdr)
webpage = urlopen(req)
htmlText = webpage.read().decode('utf-8')
pageText = BeautifulSoup(htmlText, "html.parser")
body = pageText.find_all(text=True)
The goal being to figure out how to extract the text in the red box.You can see the output I get from the CMD photo below. It is very messy and i'm not sure how to find body paragraphs of text from that. I could loop over the output and look for certain words but I need to do this to multiple sites and I won't know what's in the body paragraph.

It's probably simpler than you make it. Let's try to simplify it:
import requests
from bs4 import BeautifulSoup as bs
boston_url = 'https://www.mass.gov/service-details/request-for-proposal-rfp-notices'
hdr = {'User-Agent': 'Mozilla/5.0'}
req = requests.get(boston_url,headers=hdr)
soup = bs(req.text,'lxml')
soup.select('main main div.ma__rich-text>p')[0].text
Output:
'PERAC has not reviewed the RFP notices or other related materials posted on this page for compliance with M.G.L. Chapter 32, section 23B. The publication of these notices should not be interpreted as an indication that PERAC has made a determination as to that compliance.'

You can use the bs.find('p', text=re.compile('PERAC')) to extract that paragraph:
from bs4 import BeautifulSoup
import requests
import re
headers = {
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) '
'AppleWebKit/537.36 (KHTML, like Gecko) '
'Chrome/83.0.4103.61 Safari/537.36'
}
boston_url = (
'https://www.mass.gov/service-details/request-for-proposal-rfp-notices'
)
resp = requests.get(boston_url, headers=headers)
bs = BeautifulSoup(resp.text)
bs.find('p', text=re.compile('PERAC'))

Python crawler can't find element

I was practicing the crawler by using Python.
My target is to find the test date on GRE website.
Here is what I've done now.
import urllib2
from bs4 import BeautifulSoup
from urllib2 import urlopen, Request
gre_url = 'https://ereg.ets.org/ereg/public/testcenter/availability/seats?testId=30&testName=GRE+General+Test&location=Taipei+City%2C+Taiwan&latitude=25.0329636&longitude=121.56542680000007&testStartDate=April-01-2017&testEndDate=May-31-2017&currentTestCenterCount=0&sourceTestCenterCount=0&adminCode=&rescheduleFlow=false&isWorkflow=true&oldTestId=30&oldTestTime=&oldTestCenterId=&isUserLoggedIn=true&oldTestTitle=&oldTestCenter=&oldTestType=&oldTestDate=&oldTestTimeInfo=&peviewTestSummaryURL=%2Fresch%2Ftestpreview%2Fpreviewtestsummary&rescheduleURL='
data = urllib2.urlopen(gre_url).read()
soup = BeautifulSoup(data, "html.parser")
print soup.select('div.panel-heading.accordion-heading') # return []
However, it seems that it can't extract the element div.panel-heading.accordion-heading from data.
How do I fix it?

You need to do it in multiple steps visiting subsequent URLs before making the final get requests to check the availability. Here is something that works for me using requests.Session():
import json
import requests
from bs4 import BeautifulSoup
start_url = "https://www.ets.org/gre/revised_general/register/centers_dates/"
workflow_url = "https://ereg.ets.org/ereg/public/workflowmanager/schlWorkflow?_p=GRI"
seats_url = "https://ereg.ets.org/ereg/public/testcenter/availability/seats"
with requests.Session() as session:
session.headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Safari/537.36'}
session.get(start_url)
session.get(workflow_url)
response = session.get("https://ereg.ets.org/ereg/public/testcenter/availability/seats?testId=30&testName=GRE+General+Test&location=New+York%2C+NY%2C+United+States&latitude=40.7127837&longitude=-74.00594130000002&testStartDate=March-27-2017&testEndDate=April-30-2017&currentTestCenterCount=0&sourceTestCenterCount=0&adminCode=&rescheduleFlow=false&isWorkflow=true&oldTestId=30&oldTestTime=&oldTestCenterId=&isUserLoggedIn=true&oldTestTitle=&oldTestCenter=&oldTestType=&oldTestDate=&oldTestTimeInfo=&peviewTestSummaryURL=%2Fresch%2Ftestpreview%2Fpreviewtestsummary&rescheduleURL=")#
soup = BeautifulSoup(response.content, "html.parser")
result = json.loads(soup.select_one('#findSeatResponse')['value'])
for date in result['sortedDates']:
print(date['displayDate'])
Of course, change the last URL to the desired one.