I am writing the crawled output of a webpage to CSV files. However few special characters such as 'hyphen' is not getting parsed correctly.
Original Text : Amazon Forecast - Now Generally Available
Result in csv : Amazon Forecast – Now Generally Available
I tried the below code
from bs4 import BeautifulSoup
from datetime import date
import requests
import csv
source = requests.get('https://aws.amazon.com/blogs/aws/').text
soup = BeautifulSoup(source, 'lxml')
# csv_file = open('aitrendsresults.csv', 'w')
csv_file = open('aws_cloud_results.csv', 'w' , encoding = 'utf8' )
csv_writer = csv.writer(csv_file)
csv_writer.writerow(['title','img','src','summary'])
match = soup.find_all('div',class_='lb-row lb-snap')
for n in match:
imgsrc= n.div.img.get('src')
titlesrc= n.find('div',{'class':'lb-col lb-mid-18 lb-tiny-24'})
titletxt= titlesrc.h2.text
anchortxt= titlesrc.a.get('href')
sumtxt= titlesrc.section.p.text
print(sumtxt)
csv_writer.writerow([titletxt,imgsrc,anchortxt,sumtxt])
csv_file.close()
Can you please help me to get the text like the same in original text provided above.
Create a function to handle ASCII characters (ie Hyphen, Semicolon) and pass the string as argument inside the function below:
def decode_ascii(string):
return string.encode('ascii', 'ignore').decode('ascii')
input_text = 'Amazon Forecast - Now Generally Available'
output_text = decode_ascii(input_text)
print(output_text)
Output should be Amazon Forecast - Now Generally Available
in the CSV.
I've been working with BS as well and I think you've only made a minor mistake. In line 8, where you open the csv file, the encoding should be "UTF-8" instead of "utf8". See if that helps.
Using title as test the following works for me
from bs4 import BeautifulSoup
import requests, csv
source = requests.get('https://aws.amazon.com/blogs/aws/').text
soup = BeautifulSoup(source, 'lxml')
with open("aws_cloud_results.csv", "w", encoding="utf-8-sig", newline='') as csv_file:
w = csv.writer(csv_file, delimiter = ";", quoting=csv.QUOTE_MINIMAL)
w.writerow(['title'])
match = soup.find_all('div',class_='lb-row lb-snap')
for n in match:
titlesrc= n.find('div',{'class':'lb-col lb-mid-18 lb-tiny-24'})
titletxt= titlesrc.h2.text
w.writerow([titletxt])
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