Here is my python script so far.
from urllib.request import urlopen as uReq
from bs4 import BeautifulSoup as soup
my_url = 'my_company_website'
#opening up connection, grabbing the page
uClient = uReq(my_url)
page_html = uClient.read()
uClient.close()
#html parsing
page_soup = soup(page_html, "html.parser")
#grabs each product
containers = page_soup.findAll("div",{"class":"navigator-content"})
print (containers)
After this, in inspect element it is like below,
<div class ="issue-table-container">
<div>
<table id ="issuetable" class>
<thead>...</thead>
<tbody>...<t/body> (This contains all the information i want to print)
</table>
How to print the table and export to csv
For each of the containers you should grab the table [1], then you have to find the body of the table and iterate over its rows [2] and compile a line for your csv file with the table cells (td) [3]
for container in containers:
table = container.find(id="issuetable") [1]
#if you are exactly sure of the structure and/or if the tables have different/unique ids and there is only one table per container you can also do:
table = container.table [1]
for tr in table.tbody.find_all("tr"): [2]
line = ""
for td in tr: [3]
line += td.text+"," #Adding the text in the td to the line followed by the separator of your choice in this case comma
csvfile.write(line[:-1]+"/n") #add the line (replace "/n" with your system's new line character for extra portability)
There are different ways of navigating the soup tree depending on your need and on how flexible you script needs to be.
Have a look at https://www.crummy.com/software/BeautifulSoup/bs4/doc/ and check out the find / find_all sections.
Good luck!
/Teo
Related
i ues this code
import urllib.request
fp = urllib.request.urlopen("https://english-thai-dictionary.com/dictionary/?sa=all")
mybytes = fp.read()
mystr = mybytes.decode("utf8")
fp.close()
print(mystr)
x = 'alt'
for item in mystr.split():
if (x) in item:
print(item.strip())
I get Thai word from this code but I didn't know how to get Eng word.Thanks
If you want to get words from table you should use parsing library like BeautifulSoup4. Here is an example how you can parse this (I'm using requests to fetch and beautifulsoup here to parse data):
First using dev tools in your browser identify table with content you want to parse. Table with translations has servicesT class attribute which occurs only once in whole document:
import requests
from bs4 import BeautifulSoup
url = 'https://english-thai-dictionary.com/dictionary/?sa=all;ftlang=then'
response = requests.get(url)
soup = BeautifulSoup(response.text, 'lxml')
# Get table with translations
table = soup.find('table', {'class':'servicesT'})
After that you need to get all rows that contain translations for Thai words. If you look up page's source file you will notice that first few <tr rows are headers that contain only headers so we will omit them. After that we wil get all <td> elements from row (in that table there are always 3 <td> elements) and fetch words from them (in this table words are actually nested in and ).
table_rows = table.findAll('tr')
# We will skip first 3 rows beacause those are not
# contain information we need
for tr in table_rows[3:]:
# Finding all <td> elements
row_columns = tr.findAll('td')
if len(row_columns) >= 2:
# Get tag with Thai word
thai_word_tag = row_columns[0].select_one('span > a')
# Get tag with English word
english_word_tag = row_columns[1].find('span')
if thai_word_tag:
thai_word = thai_word_tag.text
if english_word_tag:
english_word = english_word_tag.text
# Printing our fetched words
print((thai_word, english_word))
Of course, this is very basic example of what I managed to parse from page and you should decide for yourself what you want to scrape. I've also noticed that data inside table does not have translations all the time so you should keep that in mind when scraping data. You also can use Requests-HTML library to parse data (it supports pagination which is present in table on page you want to scrape).
I want to read all the web pages and extract text from them and then remove white spaces and punctuation. My goal is to combine all the words in all the webpage and produce a dictionary that counts the number of times a word appears across all the web pages.
Following is my code:
from bs4 import BeautifulSoup as soup
from urllib.request import urlopen as ureq
import re
def web_parsing(filename):
with open (filename, "r") as df:
urls = df.readlines()
for url in urls:
uClient = ureq(url)
page_html = uClient.read()
uClient.close()
page_soup = soup(page_html, "html.parser")
par = page_soup.findAll('p')
for node in par:
#print(node)
text = ''.join(node.findAll(text = True))
#text = text.lower()
#text = re.sub(r"[^a-zA-Z-0-9 ]","",text)
text = text.strip()
print(text)
The output I got is:
[Paragraph1]
[paragraph2]
[paragraph3]
.....
What I want is:
[Paragraph1 paragraph2 paragraph 3]
Now, if I split the text here it gives me multiple lists:
[paragraph1], [paragraph2], [paragraph3]..
I want all the words of all the paragraphs of all the webpages in one list.
Any help is appreciated.
As far as I understood your question, you have a list of nodes from which you can extract a string. You then want these strings to be merged into a single string. This can simply done by creating an empty string and then adding the subsequent strings to it.
result = ""
for node in par:
text = ''.join(node.finAll(text=True)).strip()
result += text
print(result) # "Paragraph1 Paragraph2 Paragraph3"
prin([result]) # ["Paragraph1 Paragraph2 Paragraph3"]
I am having trouble figuring out how to write this file to csv. I am parsing data from a table, and can print it just fine, but when I try to write to a csv file i get the error "TypeError: write() argument must be str, not list". I'm not sure how to make my data points into a string.
Code:
from bs4 import BeautifulSoup
import urllib.request
import csv
html = urllib.request.urlopen("https://markets.wsj.com/").read().decode('utf8')
soup = BeautifulSoup(html, 'html.parser') # parse your html
filename = "products.csv"
f = open(filename, "w")
t = soup.find('table', {'summary': 'Major Stock Indexes'}) # finds tag table with attribute summary equals to 'Major Stock Indexes'
tr = t.find_all('tr') # get all table rows from selected table
row_lis = [i.find_all('td') if i.find_all('td') else i.find_all('th') for i in tr if i.text.strip()] # construct list of data
f.write([','.join(x.text.strip() for x in i) for i in row_lis])
Any suggestions?
w.write() takes only a string as an argument, but your passing it a list of lists of strings.
csv.writerows() will write lists to a csv file.
Change your file handle f to be :
f = csv.writer(open(filename,'wb'))
and use it by replacing the last line with:
f.writerows([[x.text.strip() for x in i] for i in row_lis])
will produce a csv with contents:
So I want to scrape the last table titled "Salaries" on this website http://www.baseball-reference.com/players/a/alberma01.shtml
url = 'http://www.baseball-reference.com/players/a/alberma01.shtml'
r = urllib.request.urlopen(url).read()
soup = BeautifulSoup(r)
I've tried
div = soup.find('div', id='all_br-salaries')
and
div = soup.find('div', attrs={'id': 'all_br-salaries'})
When I print div I see the data from the table but when I try something like:
div.find('thead')
div.find('tbody')
I get nothing. My question is how can I select the table correctly so I can iterate over the tr/td & th tags to extract the data?
The reason? The HTML for that table is — don't ask me why — in a comment field. Therefore, dig the HTML out of the comment, turn that into soup and mine the soup in the usual way.
>>> import requests
>>> page = requests.get('http://www.baseball-reference.com/players/a/alberma01.shtml').text
>>> from bs4 import BeautifulSoup
>>> table_code = page[page.find('<table class="sortable stats_table" id="br-salaries"'):]
>>> soup = BeautifulSoup(table_code, 'lxml')
>>> rows = soup.findAll('tr')
>>> len(rows)
14
>>> for row in rows[1:]:
... row.text
...
'200825Baltimore\xa0Orioles$395,000? '
'200926Baltimore\xa0Orioles$410,000? '
'201027Baltimore\xa0Orioles$680,0002.141 '
'201128Boston\xa0Red\xa0Sox$875,0003.141 '
'201229Boston\xa0Red\xa0Sox$1,075,0004.141contracts '
'201330Cleveland\xa0Indians$1,750,0005.141contracts '
'201431Houston\xa0Astros$2,250,0006.141contracts '
'201532Chicago\xa0White\xa0Sox$1,500,0007.141contracts '
'201532Houston\xa0Astros$200,000Buyout of contract option'
'201633Chicago\xa0White\xa0Sox$2,000,0008.141 '
'201734Chicago\xa0White\xa0Sox$250,000Buyout of contract option'
'2017 StatusSigned thru 2017, Earliest Free Agent: 2018'
'Career to date (may be incomplete)$11,385,000'
EDIT: I found that this was in a comment field by opening the HTML for the page in the Chrome browser and then look down through it for the desired table. This is what I found. Notice the opening <!--.
I parse a webpage using beautifulsoup:
import requests
from bs4 import BeautifulSoup
page = requests.get("webpage url")
soup = BeautifulSoup(page.content, 'html.parser')
I find the table and print the text
Ear_yield= soup.find(text="Earnings Yield").parent
print(Ear_yield.parent.text)
And then I get the output of a single row in a table
Earnings Yield
0.01
-0.59
-0.33
-1.23
-0.11
I would like this output to be stored in a list so that I can print on xls and operate on the elements (For ex if (Earnings Yield [0] > Earnings Yield [1]).
So I write:
import html2text
text1 = Ear_yield.parent.text
Ear_yield_text = html2text.html2text(pr1)
list_Ear_yield = []
for i in Ear_yield_text :
list_Ear_yield.append(i)
Thinking that my web data has gone into list. I print the fourth item and check:
print(list_Ear_yield[3])
I expect the output as -0.33 but i get
n
That means the list takes in individual characters and not the full word:
Please let me know where I am doing wrong
That is because your Ear_yield_text is a string rather than a list. Assuming that the text have new lines you can do directly this:
list_Ear_yield = Ear_yield_text.split('\n')
Now if you print list_Ear_yield you will be given this result
['Earnings Yield', '0.01', '-0.59', '-0.33', '-1.23', '-0.11']