We Keep Coding

BeautifulSoup - Isolate contents of a specific table

I am new to data scraping with Beautiful Soup. I would like to get data from pro-football-reference on these stats: https://www.pro-football-reference.com/boxscores/201009090nor.htm#all_pbp
I would like to iterate through every row under the 'Detail Column' under the Full Play-By-Play Table so that if the Detail contains the word "Penalty" I can save that. Any chance anyone knows how I could possibly do this? This table seems different than others.
# Any example of how I extracted another element (Referee Name)
# from the same page but different table
table = soup.select_one('#all_officials').find_next(text=lambda t: isinstance(t, Comment))
table = BeautifulSoup(table, 'html.parser')
for tr in table.select('tr'):
tds = [td.get_text(strip=True) for td in tr.select('td')]
if str(*tds) != "Officials":
referee = str(*tds)
break

The table is commented out. A common and reliable way is to import Comment and handle with for comment in soup.find_all(text=lambda text: isinstance(text, Comment)) as shown here: https://stackoverflow.com/a/60381103.
For this particular instance, I am just removing the comments strings through substitution.
Then I use :-soup-contains to target the appropriate rows, filtering on only those rows within the table where the text Penalty appears in the elements with data-stat attribute having value = detail i.e. the detail column.
I then use pandas to reconstitute the table from the filtered trs html joined and then book-ended by table tags
from bs4 import BeautifulSoup as bs
import pandas as pd
import requests
import re
r = requests.get('https://www.pro-football-reference.com/boxscores/201009090nor.htm#all_pbp',
headers={'User-Agent': 'Mozilla/5.0'})
s = re.sub(r'<!--|-->', '', r.text)
soup = bs(s, 'lxml')
s2 = '<table>' + ''.join([str(i) for i in soup.select(
'#pbp tr:has([data-stat=detail]:-soup-contains("Penalty"))')]) + '</table>'
df = pd.read_html(s2)[0]
df.columns = [i.text for i in soup.select('#pbp thead > tr > th')]
df

How to scrape particular data from Yahoo Finance?

I am new to web scraping and I'm trying to scrape the "statistics" page of yahoo finance for AAPL. Here's the link: https://finance.yahoo.com/quote/AAPL/key-statistics?p=AAPL
Here is the code I have so far...
from bs4 import BeautifulSoup
from requests import get
url = 'https://finance.yahoo.com/quote/AAPL/key-statistics?p=AAPL'
response = get(url)
soup = BeautifulSoup(response.text, 'html.parser')
stock_data = soup.find_all("table")
for stock in stock_data:
print(stock.text)
When I run that, I return all of the table data on the page. However, I only want specific data from each table (e.g. "Market Cap", "Revenue", "Beta").
I tried messing around with the code by doing print(stock[1].text) to see if I could limit the amount of data returned to just the second value in each table but that returned an error message. Am I on the right track by using BeautifulSoup or do I need to use a completely different library? What would I have to do in order to only return particular data and not all of the table data on the page?

Examining the HTML-code gives you the best idea of how BeautifulSoup will handle what it sees.
The web page seems to contain several tables, which in turn contain the information you are after. The tables follow a certain logic.
First scrape all the tables on the web page, then find all the table rows (<tr>) and the table data (<td>) that those rows contain.
Below is one way of achieving this. I even threw in a function to print only a specific measurement.
from bs4 import BeautifulSoup
from requests import get
url = 'https://finance.yahoo.com/quote/AAPL/key-statistics?p=AAPL'
response = get(url)
soup = BeautifulSoup(response.text, 'html.parser')
stock_data = soup.find_all("table")
# stock_data will contain multiple tables, next we examine each table one by one
for table in stock_data:
# Scrape all table rows into variable trs
trs = table.find_all('tr')
for tr in trs:
# Scrape all table data tags into variable tds
tds = tr.find_all('td')
# Index 0 of tds will contain the measurement
print("Measure: {}".format(tds[0].get_text()))
# Index 1 of tds will contain the value
print("Value: {}".format(tds[1].get_text()))
print("")
def get_measurement(table_array, measurement):
for table in table_array:
trs = table.find_all('tr')
for tr in trs:
tds = tr.find_all('td')
if measurement.lower() in tds[0].get_text().lower():
return(tds[1].get_text())
# print only one measurement, e.g. operating cash flow
print(get_measurement(stock_data, "operating cash flow"))

Although this isn't Yahoo Finance, you can do something very similar like this...
import requests
from bs4 import BeautifulSoup
base_url = 'https://finviz.com/screener.ashx?v=152&o=price&t=MSFT,AAPL,SBUX,S,GOOG&o=price&c=0,1,2,3,4,5,6,7,8,9,25,63,64,65,66,67'
html = requests.get(base_url)
soup = BeautifulSoup(html.content, "html.parser")
main_div = soup.find('div', attrs = {'id':'screener-content'})
light_rows = main_div.find_all('tr', class_="table-light-row-cp")
dark_rows = main_div.find_all('tr', class_="table-dark-row-cp")
data = []
for rows_set in (light_rows, dark_rows):
for row in rows_set:
row_data = []
for cell in row.find_all('td'):
val = cell.a.get_text()
row_data.append(val)
data.append(row_data)
# sort rows to maintain original order
data.sort(key=lambda x: int(x[0]))
import pandas
pandas.DataFrame(data).to_csv("C:\\your_path\\AAA.csv", header=False)
This is a nice substitute in case Yahoo decided to depreciate more of the functionality of their API. I know they cut out a lot of things (mostly historical quotes) a couple years ago. It was sad to see that go away.

Extract text from selected tags with Beautiful Soup

I want to extract text from th tags in a table so I can print a list of metro stations from a table in a Wikipedia page. I only need text from a certain table (there are two of them in the page)
import urllib.request
url = "https://en.wikipedia.org/wiki/List_of_London_Underground_stations"
page = urllib.request.urlopen(url)
from bs4 import BeautifulSoup
soup = BeautifulSoup(page, "lxml")
stations_table = soup.find("table", class_= "wikitable sortable plainrowheaders")
stations_table
for i in soup.find_all('th', stations_table):
print(i.text)
I can get the table stored in the stations_table variable but cannot print the text in th tags within the wikitable sortable plainrowheaders table. While it does print the station name, it also prints the headers:
Station
Local authority
Zone(s)[†]
Opened[4]
Main lineopened
Usage[5]
How can I filter those out?

It shows all th in table - not only stations but also headers like Stations, Lines
To skip it I search all tr, skip first row and then I search th in every row
for i in stations_table.find_all('tr')[1:]
print(i.find('th').text.strip())
Full code
import urllib.request
from bs4 import BeautifulSoup
url = "https://en.wikipedia.org/wiki/List_of_London_Underground_stations"
page = urllib.request.urlopen(url)
soup = BeautifulSoup(page, "html.parser")
stations_table = soup.find("table", class_= "wikitable sortable plainrowheaders")
for i in stations_table.find_all('tr')[1:]:
print(i.find('th').text.strip())
#print(i.th.text.strip())

for i in soup.find_all('th', stations_table):
searches for all the table headings and the table rows. What can be done for this, is to extract all the rows and start printing from the second row (ignoring the title's row) as below
for i in stations_table.find_all('tr')[1:]:
print(i.find('th').text)

How to only scrape the first item in a row using Beautiful Soup

I am currently running the following python script:
import requests
from bs4 import BeautifulSoup
origin= ["USD","GBP","EUR"]
i=0
while i < len(origin):
page = requests.get("https://www.x-rates.com/table/?from="+origin[i]+"&amount=1")
soup = BeautifulSoup(page.content, "html.parser")
tables = soup.findChildren('table')
my_table = tables[0]
rows = my_table.findChildren(['td'])
i = i +1
for rows in rows:
cells = rows.findChildren('a')
for cell in cells:
value = cell.string
print(value)
To scrape data from this HTML:
https://i.stack.imgur.com/DkX83.png
The problem I have is that I'm struggling to only scrape the first column without scraping the second one as well because they are both under tags and in the same table row as each other. The href is the only thing which differentiates between the two tags and I have tried filtering using this but it doesn't seem to work and returns a blank value. Also when i try to sort the data manually the output is amended vertically and not horizontally, I am new to coding so any help would be appreciated :)

There is another way you might wanna try as well to achieve the same:
import requests
from bs4 import BeautifulSoup
keywords = ["USD","GBP","EUR"]
for keyword in keywords:
page = requests.get("https://www.x-rates.com/table/?from={}&amount=1".format(keyword))
soup = BeautifulSoup(page.content, "html.parser")
for items in soup.select_one(".ratesTable tbody").find_all("tr"):
data = [item.text for item in items.find_all("td")[1:2]]
print(data)

It is easier to follow what happens when you print every item you got from the top e.g. in this case from table item. The idea is to go one by one so you can follow.
import requests
from bs4 import BeautifulSoup
origin= ["USD","GBP","EUR"]
i=0
while i < len(origin):
page = requests.get("https://www.x-rates.com/table/?from="+origin[i]+"&amount=1")
soup = BeautifulSoup(page.content, "html.parser")
tables = soup.findChildren('table')
my_table = tables[0]
i = i +1
rows = my_table.findChildren('tr')
for row in rows:
cells = row.findAll('td',class_='rtRates')
if len(cells) > 0:
first_item = cells[0].find('a')
value = first_item.string
print(value)

How to not repeat yourself by finding all tables in HTML

In my HTML code, I have 8 tables. Here is how I am trying to get them:
url ="http://www.uefa.com/worldcup/season=2014/standings/"
r = requests.get(url)
soup = BeautifulSoup(r.content)
table = soup.find("table")
This piece of code gives me only the first one table. Now the action takes place:
rows = table.findAll('tr')
data = [[td.text.strip().encode("utf-8") for td in tr.findAll("td")] for tr in rows]
head = [[th.text.strip().encode("utf-8") for th in tr.findAll("th")] for tr in rows]
for i in data:
if i:
flag = i[1][:3] + ".png"
i.insert(1, Datas(i, "http://img.uefa.com/imgml/flags/18x18/" + flag))
return render(request, 'Titles.html', {"data": data})
After action ends, I'm wondering how to start extracting second table with the same variables? Of course I could add more variables like data1, data2, head1, head2 and so on. However I don't want to repeat myself.
So maybe you can help me and find the better way to do it?

You probably want something like this:
import requests
from bs4 import BeautifulSoup
soup = BeautifulSoup(requests.get(url).text)
tables = soup.find_all('table') # this returns 8 tables
print len(tables)
for table in tables:
for tr in table.find_all('tr'):
print tr.text
print
If you try that code, you can see you get the content out of each table,