Python Beautiful Soup find string and extract following string - python

I am programming a web crawler with the help of beautiful soup.I have the following html code:
<tr class="odd-row">
<td>xyz</td>
<td class="numeric">5,00%</td>
</tr>
<tr class="even-row">
<td>abc</td>
<td class="numeric">50,00%</td
</tr>
<tr class="odd-row">
<td>ghf</td>
<td class="numeric">2,50%</td>
My goal is to write the numbers after class="numeric" to a specific variable. I want to do this conditional on the string above the class statement (e.g. "xyz", "abc", ...).
At the moment I am doing the following:
for c in soup.find_all("a", string=re.compile('abc')):
abc=c.string
But of course it returns the string "abc" and not the number in the tag afterwards.
So basically my question is how to adress the string after class="numeric" conditional on the string beforehand.
Thanks for your help!!!

Once you find the correct tdwhich I presume is what you meant to have in place of a then get the next sibling with the class you want:
h = """<tr class="odd-row">
<td>xyz</td>
<td class="numeric">5,00%</td>
</tr>
<tr class="even-row">
<td>abc</td>
<td class="numeric">50,00%</td
</tr>
<tr class="odd-row">
<td>ghf</td>
<td class="numeric">2,50%</td>"""
from bs4 import BeautifulSoup
soup = BeautifulSoup(h)
for td in soup.find_all("td",text="abc"):
print(td.find_next_sibling("td",class_="numeric"))
If the numeric td is always next you can just call find_next_sibling():
for td in soup.find_all("td",text="abc"):
print(td.find_next_sibling())
For your input both would give you:
td class="numeric">50,00%</td>

If I understand your question correctly, and if I assume your html code will always follow your sample structure, you can do this:
result = {}
table_rows = soup.find_all("tr")
for row in table_rows:
table_columns = row.find_all("td")
result[table_columns[0].text] = tds[1].text
print result #### {u'xyz': u'2,50%', u'abc': u'2,50%', u'ghf': u'2,50%'}
You got a dictionary eventually with the key names are 'xyz','abc'..etc and their values are the string in class="numeric"

So as I understand your question you want to iterate over the tuples
('xyz', '5,00%'), ('abc', '50,00%'), ('ghf', '2,50%'). Is that correct?
But I don't understand how your code produces any results, since you are searching for <a> tags.
Instead you should iterate over the <tr> tags and then take the strings inside the <td> tags. Notice the double next_sibling for accessing the second <td>, since the first next_sibling would reference the whitespace between the two tags.
html = """
<tr class="odd-row">
<td>xyz</td>
<td class="numeric">5,00%</td>
</tr>
<tr class="even-row">
<td>abc</td>
<td class="numeric">50,00%</td
</tr>
<tr class="odd-row">
<td>ghf</td>
<td class="numeric">2,50%</td>
</tr>
"""
from bs4 import BeautifulSoup
soup = BeautifulSoup(html, 'html.parser')
for tr in soup.find_all("tr"):
print((tr.td.string, tr.td.next_sibling.next_sibling.string))

Related

Adding a new table to tbody using Beautiful Soup

I am trying to add another row to this table in my HTML page. The table has four columns.
enter image description here
This is the code I have so far:
#Table Data
newVersion = soup.new_tag('td',{'colspan':'1'},**{'class': 'confluenceTd'})
newRow = soup.new_tag('tr')
newRow.insert(1,newVersion)
tableBody = soup.select("tbody")
#This is a magic number
soup.insert(tableBody[1],newRow)
I have only filled in one column (the version) and I have inserted it into the a 'tr' tag. The idea being I could fill in the other 3 columns and insert them into the tr.
The tableBody[1] is due to the their being multiple tables on the page, which don't have unique IDs or classes.
The problem line is the soup.insert(tableBody[1],newRow) as it raises:
TypeError: '<' not supported between instances of 'int' and 'Tag'
But how do I provide a reference point for the insertion of the tr tag?
To create a new tag with different attributes, you can use the attr parameter of new_tag.
newVersion = soup.new_tag('td', attrs= {'class': 'confluenceTd', 'colspan': '1'})
Since you haven't provided any HTML code, I have tried to reproduce the HTML code based on your input.
This code will append the newly created row to the tbody.
from bs4 import BeautifulSoup
s = '''
<table>
<thead>
</thead>
<tbody>
<tr>
<td colspan="1" class="confluenceTd">1.0.17</td>
<td colspan="1" class="confluenceTd">...</td>
<td colspan="1" class="confluenceTd">...</td>
<td colspan="1" class="confluenceTd">...</td>
</tr>
</tbody>
</table>
'''
soup = BeautifulSoup(s, 'html.parser')
newVersion = soup.new_tag('td', attrs= {'class': 'confluenceTd', 'colspan': '1'})
newRow = soup.new_tag('tr')
newRow.insert(1,newVersion)
tableBody = soup.select("tbody")
#This is a magic number
tableBody[0].append(newRow)
print(soup)
Output
<table>
<thead>
</thead>
<tbody>
<tr>
<td class="confluenceTd" colspan="1">1.0.17</td>
<td class="confluenceTd" colspan="1">...</td>
<td class="confluenceTd" colspan="1">...</td>
<td class="confluenceTd" colspan="1">...</td>
</tr>
<tr><td class="confluenceTd" colspan="1"></td></tr></tbody>
</table>

Unable to acces element while having a SRE match using BeautifulSoup

I scrape the page like this:
s1 =bs4DerivativePage.find_all('table',class_='not-clickable zebra’)
With output:
[<table class="not-clickable zebra" data-price-format="{price}" data-quote-detail="0" data-stream-id="723288" data-stream-quote-option="Standard">
<tbody><tr>
<td><strong>Stop loss-niveau</strong></td>
<td>141,80447</td>
<td class="align-left"><strong>Type</strong></td>
<td>Turbo's</td>
</tr>
<tr>
<td><strong>Financieringsniveau</strong></td>
<td>135,05188</td>
I need to retrieve the value from Financieringsniveau.
The following gives a match:
finNiveau=re.search('Financieringsniveau’,LineIns1)
However I need the numerical value 135,05188. How does one does this?
You can use .findNext()
Ex:
from bs4 import BeautifulSoup
s = """<table class="not-clickable zebra" data-price-format="{price}" data-quote-detail="0" data-stream-id="723288" data-stream-quote-option="Standard">
<tbody><tr>
<td><strong>Stop loss-niveau</strong></td>
<td>141,80447</td>
<td class="align-left"><strong>Type</strong></td>
<td>Turbo's</td>
</tr>
<tr>
<td><strong>Financieringsniveau</strong></td>
<td>135,05188</td></tr></tbody></table>"""
soup = BeautifulSoup(s, "html.parser")
print(soup.find(text="Financieringsniveau").findNext("td").text) #Search using text and the use findNext
Output:
135,05188
Assuming that data-stream-id attribute value is unique (in combination with table tag) you can use CSS selectors and avoid re. This is a fast retrieval method.
from bs4 import BeautifulSoup
html = '''
<table class="not-clickable zebra" data-price-format="{price}" data-quote-detail="0" data-stream-id="723288" data-stream-quote-option="Standard">
<tbody><tr>
<td><strong>Stop loss-niveau</strong></td>
<td>141,80447</td>
<td class="align-left"><strong>Type</strong></td>
<td>Turbo's</td>
</tr>
<tr>
<td><strong>Financieringsniveau</strong></td>
<td>135,05188</td>
'''
soup = BeautifulSoup(html, 'lxml')
print(soup.select_one('table[data-stream-id="723288"] td:nth-of-type(6)').text)

Established html table line to python

Let's say, i have an HTML Table like this:
<tr>
<td class="Klasse gerade">12A<br></td>
<td class="Stunde gerade">4<br></td>
<td class="Fach gerade">GEO statt GE<br></td>
<td class="Lehrer gerade"><br></td>
<td class="Vertretung gerade">Herr Grieger<br></td>
<td class="Raum gerade">603<br></td>
<td class="Anmerkung gerade"><br></td>
</tr>
<tr>
<td class="Klasse gerade">10A<br></td>
<td class="Stunde gerade">2<br></td>
<td class="Fach gerade">MA statt GE<br></td>
<td class="Lehrer gerade"><br></td>
<td class="Vertretung gerade">Herr Grieger<br></td>
<td class="Raum gerade">406<br></td>
<td class="Anmerkung gerade"><br></td>
</tr>
if phrase the HTML to python(2.7) with:
link = "http://www.test.com/vplan.html"
f = urllib.urlopen(link)
vplan = f.read()
print vplan
how can i do this?: if td=10A then print the complete tr of 10A
Sorry for the bad formulation but this is in my opinion the easiest was to explain my question and don't wonder about the German word's (I'm a German)
You need an HTML parser like Beautifulsoup. Assuming the table in question is the only one or the first one in the document, the program may look like this:
#!/usr/bin/env python
import urllib
from bs4 import BeautifulSoup
def main():
link = 'http://www.test.com/vplan.html'
soup = BeautifulSoup(urllib.urlopen(link), 'lxml')
table = soup.find('table')
rows = [x.find_parent('tr') for x in table.find_all(text='10A')]
for row in rows:
for cell in row.find_all('td'):
print cell.text
print '-' * 10

How to use BeauifulSoup for parsing data in following example?

I am a beginner in Python and BeautifulSoup and I am trying to make a web scraper. However, I am facing some issues and can't figure out a way out. Here is my issue:
This is part of the HTML from where I want to scrap:
<tr>
<td class="num cell-icon-string" data-sort-value="6">
<td class="cell-icon-string"><a class="ent-name" href="/pokedex/charizard" title="View pokedex for #006 Charizard">Charizard</a></td>
</tr>
<tr>
<td class="num cell-icon-string" data-sort-value="6">
<td class="cell-icon-string"><a class="ent-name" href="/pokedex/charizard" title="View pokedex for #006 Charizard">Charizard</a><br>
<small class="aside">Mega Charizard X</small></td>
</tr>
Now, I want to extract "Charizard" from 1st table row and "Mega Charizard X" from the second row. Right now, I am able to extract "Charizard" from both rows.
Here is my code:
#!/usr/bin/env python3
from bs4 import BeautifulSoup
soup = BeautifulSoup(open("data.html"), "lxml")
poke_boxes = soup.findAll('a', attrs = {'class': 'ent-name'})
for poke_box in poke_boxes:
poke_name = poke_box.text.strip()
print(poke_name)
import bs4
html = '''<tr>
<td class="num cell-icon-string" data-sort-value="6">
<td class="cell-icon-string"><a class="ent-name" href="/pokedex/charizard" title="View pokedex for #006 Charizard">Charizard</a></td>
</tr>
<tr>
<td class="num cell-icon-string" data-sort-value="6">
<td class="cell-icon-string"><a class="ent-name" href="/pokedex/charizard" title="View pokedex for #006 Charizard">Charizard</a><br>
<small class="aside">Mega Charizard X</small></td>
</tr>'''
soup = bs4.BeautifulSoup(html, 'lxml')
in:
[tr.get_text(strip=True) for tr in soup('tr')]
out:
['Charizard', 'CharizardMega Charizard X']
you can use get_text() to concatenate all the text in the tag, strip=Ture will strip all the space in the string
You'll need to change your logic to go through the rows and check to see if the small element exists, if it does print out that text, otherwise print out the anchor text as you are now.
soup = BeautifulSoup(html, 'lxml')
trs = soup.findAll('tr')
for tr in trs:
smalls = tr.findAll('small')
if smalls:
print(smalls[0].text)
else:
poke_box = tr.findAll('a')
print(poke_box[0].text)

find next td based on td with span tag in

How to find next td of a td with a span in it?
html_text = """
<tr class="someClass">
<td> </td>
<td>A normal string</td>
<td class="someClass">10</td>
<td class="someClass">11</td>
<td class="someClass">12</td>
<td> </td>
</tr>
<tr class="someClass">
<td> </td>
<td>Non normal string <span style="font-size:10px">(with span)</span></td>
<td class="someClass">2 000</td>
<td class="someClass">2 100</td>
<td class="someClass">2 150</td>
<td> </td>
</tr>
"""
To get the td after the td with "A normal string" in it I would simply just find it by:
a_normal_string = str(soup.find("td", text="A normal string").find_next('td'))
a_normal_string = re.findall(r'\d+', a_normal_string)
print a_normal_string #['10']
However, in the second tr where i need to find the td after the td with a Non normal string above method will not work. So how to deal with a td containing spans?
First thought was to find it by regex and compile a_nonnormal_string = str(soup.find("td", text=re.compile(r'A non normal string')).find_next('td')) but this is not applicable as well.
This is just an example of two trs but the actually website has hundreds of trs.
One option would be to solve it with a searching function, using get_text() to check the text against a desired string (note that get_text() returns the complete text of an element including its child elements, but .string does not - it would be None if there are child elements - this is actually the reason why your second approach does not work):
tds = soup.find_all(lambda tag: tag.name == "td" and "normal string" in tag.get_text())
for td in tds:
a_normal_string = td.find_next('td').get_text()
print(a_normal_string)
Prints:
10
2 000

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