How to write csv and insert scrape dataCreate a .csv file with values from a Python listHow to merge two dictionaries in a single expression?How do I check if a list is empty?How do I check whether a file exists without exceptions?How can I safely create a nested directory?How to output MySQL query results in CSV format?How do I sort a dictionary by value?How to make a chain of function decorators?How do I list all files of a directory?How do I write JSON data to a file?I am getting text error while the code is appicable for on company using python beautifulsoup

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How to write csv and insert scrape data


Create a .csv file with values from a Python listHow to merge two dictionaries in a single expression?How do I check if a list is empty?How do I check whether a file exists without exceptions?How can I safely create a nested directory?How to output MySQL query results in CSV format?How do I sort a dictionary by value?How to make a chain of function decorators?How do I list all files of a directory?How do I write JSON data to a file?I am getting text error while the code is appicable for on company using python beautifulsoup






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








-1















I am designing scrapping project for my research but i am stuck in to write scrap data in csv. Please help me for that?



i have successfully scrap data but i want to store it in csv here below is my code



need to write code to pull all of the html from a website then save it to a csv file.



I believe I somehow need to turn the links into a list and then write the list, but I'm unsure how to do that.



This is what I have so far:



import requests
import time
from bs4 import BeautifulSoup
import csv



# Collect and parse first page
page = requests.get('https://www.myamcat.com/jobs')
soup = BeautifulSoup(page.content, 'lxml')

print("Wait Scrapper is working on ")
time.sleep(10)
if(page.status_code != 200):

print("Error in Srapping check the url")
else:

print("Successfully scrape the data")
time.sleep(10)
print("Loading data in csv")
file = csv.writer(open('dataminer.csv', 'w'))
file.writerow(['ProfileName', 'CompanyName', 'Salary', 'Job', 'Location'])

for pname in soup.find_all(class_="profile-name"):

#print(pname.text)
profname = pname.text
file.writerow([profname, ])

for cname in soup.find_all(class_="company_name"):

print(cname.text)

for salary in soup.find_all(class_="salary"):

print(salary.text)


for lpa in soup.find_all(class_="jobText"):

print(lpa.text)

for loc in soup.find_all(class_="location"):

print(loc.text)
















share|improve this question






















  • First, save the result in a list using .append(). Then save into csv file. Refer to this thread

    – YusufUMS
    Mar 26 at 9:05












  • I am new to this can you please show how to do that ?

    – TechGenz Hosting
    Mar 26 at 9:12

















-1















I am designing scrapping project for my research but i am stuck in to write scrap data in csv. Please help me for that?



i have successfully scrap data but i want to store it in csv here below is my code



need to write code to pull all of the html from a website then save it to a csv file.



I believe I somehow need to turn the links into a list and then write the list, but I'm unsure how to do that.



This is what I have so far:



import requests
import time
from bs4 import BeautifulSoup
import csv



# Collect and parse first page
page = requests.get('https://www.myamcat.com/jobs')
soup = BeautifulSoup(page.content, 'lxml')

print("Wait Scrapper is working on ")
time.sleep(10)
if(page.status_code != 200):

print("Error in Srapping check the url")
else:

print("Successfully scrape the data")
time.sleep(10)
print("Loading data in csv")
file = csv.writer(open('dataminer.csv', 'w'))
file.writerow(['ProfileName', 'CompanyName', 'Salary', 'Job', 'Location'])

for pname in soup.find_all(class_="profile-name"):

#print(pname.text)
profname = pname.text
file.writerow([profname, ])

for cname in soup.find_all(class_="company_name"):

print(cname.text)

for salary in soup.find_all(class_="salary"):

print(salary.text)


for lpa in soup.find_all(class_="jobText"):

print(lpa.text)

for loc in soup.find_all(class_="location"):

print(loc.text)
















share|improve this question






















  • First, save the result in a list using .append(). Then save into csv file. Refer to this thread

    – YusufUMS
    Mar 26 at 9:05












  • I am new to this can you please show how to do that ?

    – TechGenz Hosting
    Mar 26 at 9:12













-1












-1








-1


1






I am designing scrapping project for my research but i am stuck in to write scrap data in csv. Please help me for that?



i have successfully scrap data but i want to store it in csv here below is my code



need to write code to pull all of the html from a website then save it to a csv file.



I believe I somehow need to turn the links into a list and then write the list, but I'm unsure how to do that.



This is what I have so far:



import requests
import time
from bs4 import BeautifulSoup
import csv



# Collect and parse first page
page = requests.get('https://www.myamcat.com/jobs')
soup = BeautifulSoup(page.content, 'lxml')

print("Wait Scrapper is working on ")
time.sleep(10)
if(page.status_code != 200):

print("Error in Srapping check the url")
else:

print("Successfully scrape the data")
time.sleep(10)
print("Loading data in csv")
file = csv.writer(open('dataminer.csv', 'w'))
file.writerow(['ProfileName', 'CompanyName', 'Salary', 'Job', 'Location'])

for pname in soup.find_all(class_="profile-name"):

#print(pname.text)
profname = pname.text
file.writerow([profname, ])

for cname in soup.find_all(class_="company_name"):

print(cname.text)

for salary in soup.find_all(class_="salary"):

print(salary.text)


for lpa in soup.find_all(class_="jobText"):

print(lpa.text)

for loc in soup.find_all(class_="location"):

print(loc.text)
















share|improve this question














I am designing scrapping project for my research but i am stuck in to write scrap data in csv. Please help me for that?



i have successfully scrap data but i want to store it in csv here below is my code



need to write code to pull all of the html from a website then save it to a csv file.



I believe I somehow need to turn the links into a list and then write the list, but I'm unsure how to do that.



This is what I have so far:



import requests
import time
from bs4 import BeautifulSoup
import csv



# Collect and parse first page
page = requests.get('https://www.myamcat.com/jobs')
soup = BeautifulSoup(page.content, 'lxml')

print("Wait Scrapper is working on ")
time.sleep(10)
if(page.status_code != 200):

print("Error in Srapping check the url")
else:

print("Successfully scrape the data")
time.sleep(10)
print("Loading data in csv")
file = csv.writer(open('dataminer.csv', 'w'))
file.writerow(['ProfileName', 'CompanyName', 'Salary', 'Job', 'Location'])

for pname in soup.find_all(class_="profile-name"):

#print(pname.text)
profname = pname.text
file.writerow([profname, ])

for cname in soup.find_all(class_="company_name"):

print(cname.text)

for salary in soup.find_all(class_="salary"):

print(salary.text)


for lpa in soup.find_all(class_="jobText"):

print(lpa.text)

for loc in soup.find_all(class_="location"):

print(loc.text)













python csv web-scraping beautifulsoup






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Mar 26 at 9:01









TechGenz HostingTechGenz Hosting

83 bronze badges




83 bronze badges












  • First, save the result in a list using .append(). Then save into csv file. Refer to this thread

    – YusufUMS
    Mar 26 at 9:05












  • I am new to this can you please show how to do that ?

    – TechGenz Hosting
    Mar 26 at 9:12

















  • First, save the result in a list using .append(). Then save into csv file. Refer to this thread

    – YusufUMS
    Mar 26 at 9:05












  • I am new to this can you please show how to do that ?

    – TechGenz Hosting
    Mar 26 at 9:12
















First, save the result in a list using .append(). Then save into csv file. Refer to this thread

– YusufUMS
Mar 26 at 9:05






First, save the result in a list using .append(). Then save into csv file. Refer to this thread

– YusufUMS
Mar 26 at 9:05














I am new to this can you please show how to do that ?

– TechGenz Hosting
Mar 26 at 9:12





I am new to this can you please show how to do that ?

– TechGenz Hosting
Mar 26 at 9:12












2 Answers
2






active

oldest

votes


















0














Make a dict and save the data into it then save to csv, check below code!



import requests
import time
from bs4 import BeautifulSoup
import csv



# Collect and parse first page
page = requests.get('https://www.myamcat.com/jobs')
soup = BeautifulSoup(page.content, 'lxml')
data = []
print("Wait Scrapper is working on ")
if(page.status_code != 200):
print("Error in Srapping check the url")
else:
print("Successfully scrape the data")
for x in soup.find_all('div',attrs='class':'job-page'):
data.append(
'pname':x.find(class_="profile-name").text.encode('utf-8'),
'cname':x.find(class_="company_name").text.encode('utf-8'),
'salary':x.find(class_="salary").text.encode('utf-8'),
'lpa':x.find(class_="jobText").text.encode('utf-8'),
'loc':x.find(class_="location").text.encode('utf-8'))

print("Loading data in csv")
with open('dataminer.csv', 'w') as f:
fields = ['salary', 'loc', 'cname', 'pname', 'lpa']
writer = csv.DictWriter(f, fieldnames=fields)
writer.writeheader()
writer.writerows(data)





share|improve this answer























  • Hi thank you so much for the code it's really works great!. I have one question why some unwanted contain are getting in csv file?

    – TechGenz Hosting
    Mar 26 at 9:47











  • you can use replace() to replace those unwanted content and for tab and new line use strip()

    – Sohan Das
    Mar 26 at 9:51











  • thanks for this

    – TechGenz Hosting
    Mar 26 at 9:58


















0














Apart from what you have got in other answer, you can scrape and write the content at the same time as well. I used .select() instead of .find_all() to achieve the same.



import csv
import requests
from bs4 import BeautifulSoup

URL = "https://www.myamcat.com/jobs"

page = requests.get(URL)
soup = BeautifulSoup(page.text, 'lxml')
with open('myamcat_doc.csv','w',newline="",encoding="utf-8") as f:
writer = csv.writer(f)
writer.writerow(['pname','cname','salary','loc'])

for item in soup.select(".job-listing .content"):
pname = item.select_one(".profile-name h3").get_text(strip=True)
cname = item.select_one(".company_name").get_text(strip=True)
salary = item.select_one(".salary .jobText").get_text(strip=True)
loc = item.select_one(".location .jobText").get_text(strip=True)
writer.writerow([pname,cname,salary,loc])





share|improve this answer



























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    2 Answers
    2






    active

    oldest

    votes








    2 Answers
    2






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    0














    Make a dict and save the data into it then save to csv, check below code!



    import requests
    import time
    from bs4 import BeautifulSoup
    import csv



    # Collect and parse first page
    page = requests.get('https://www.myamcat.com/jobs')
    soup = BeautifulSoup(page.content, 'lxml')
    data = []
    print("Wait Scrapper is working on ")
    if(page.status_code != 200):
    print("Error in Srapping check the url")
    else:
    print("Successfully scrape the data")
    for x in soup.find_all('div',attrs='class':'job-page'):
    data.append(
    'pname':x.find(class_="profile-name").text.encode('utf-8'),
    'cname':x.find(class_="company_name").text.encode('utf-8'),
    'salary':x.find(class_="salary").text.encode('utf-8'),
    'lpa':x.find(class_="jobText").text.encode('utf-8'),
    'loc':x.find(class_="location").text.encode('utf-8'))

    print("Loading data in csv")
    with open('dataminer.csv', 'w') as f:
    fields = ['salary', 'loc', 'cname', 'pname', 'lpa']
    writer = csv.DictWriter(f, fieldnames=fields)
    writer.writeheader()
    writer.writerows(data)





    share|improve this answer























    • Hi thank you so much for the code it's really works great!. I have one question why some unwanted contain are getting in csv file?

      – TechGenz Hosting
      Mar 26 at 9:47











    • you can use replace() to replace those unwanted content and for tab and new line use strip()

      – Sohan Das
      Mar 26 at 9:51











    • thanks for this

      – TechGenz Hosting
      Mar 26 at 9:58















    0














    Make a dict and save the data into it then save to csv, check below code!



    import requests
    import time
    from bs4 import BeautifulSoup
    import csv



    # Collect and parse first page
    page = requests.get('https://www.myamcat.com/jobs')
    soup = BeautifulSoup(page.content, 'lxml')
    data = []
    print("Wait Scrapper is working on ")
    if(page.status_code != 200):
    print("Error in Srapping check the url")
    else:
    print("Successfully scrape the data")
    for x in soup.find_all('div',attrs='class':'job-page'):
    data.append(
    'pname':x.find(class_="profile-name").text.encode('utf-8'),
    'cname':x.find(class_="company_name").text.encode('utf-8'),
    'salary':x.find(class_="salary").text.encode('utf-8'),
    'lpa':x.find(class_="jobText").text.encode('utf-8'),
    'loc':x.find(class_="location").text.encode('utf-8'))

    print("Loading data in csv")
    with open('dataminer.csv', 'w') as f:
    fields = ['salary', 'loc', 'cname', 'pname', 'lpa']
    writer = csv.DictWriter(f, fieldnames=fields)
    writer.writeheader()
    writer.writerows(data)





    share|improve this answer























    • Hi thank you so much for the code it's really works great!. I have one question why some unwanted contain are getting in csv file?

      – TechGenz Hosting
      Mar 26 at 9:47











    • you can use replace() to replace those unwanted content and for tab and new line use strip()

      – Sohan Das
      Mar 26 at 9:51











    • thanks for this

      – TechGenz Hosting
      Mar 26 at 9:58













    0












    0








    0







    Make a dict and save the data into it then save to csv, check below code!



    import requests
    import time
    from bs4 import BeautifulSoup
    import csv



    # Collect and parse first page
    page = requests.get('https://www.myamcat.com/jobs')
    soup = BeautifulSoup(page.content, 'lxml')
    data = []
    print("Wait Scrapper is working on ")
    if(page.status_code != 200):
    print("Error in Srapping check the url")
    else:
    print("Successfully scrape the data")
    for x in soup.find_all('div',attrs='class':'job-page'):
    data.append(
    'pname':x.find(class_="profile-name").text.encode('utf-8'),
    'cname':x.find(class_="company_name").text.encode('utf-8'),
    'salary':x.find(class_="salary").text.encode('utf-8'),
    'lpa':x.find(class_="jobText").text.encode('utf-8'),
    'loc':x.find(class_="location").text.encode('utf-8'))

    print("Loading data in csv")
    with open('dataminer.csv', 'w') as f:
    fields = ['salary', 'loc', 'cname', 'pname', 'lpa']
    writer = csv.DictWriter(f, fieldnames=fields)
    writer.writeheader()
    writer.writerows(data)





    share|improve this answer













    Make a dict and save the data into it then save to csv, check below code!



    import requests
    import time
    from bs4 import BeautifulSoup
    import csv



    # Collect and parse first page
    page = requests.get('https://www.myamcat.com/jobs')
    soup = BeautifulSoup(page.content, 'lxml')
    data = []
    print("Wait Scrapper is working on ")
    if(page.status_code != 200):
    print("Error in Srapping check the url")
    else:
    print("Successfully scrape the data")
    for x in soup.find_all('div',attrs='class':'job-page'):
    data.append(
    'pname':x.find(class_="profile-name").text.encode('utf-8'),
    'cname':x.find(class_="company_name").text.encode('utf-8'),
    'salary':x.find(class_="salary").text.encode('utf-8'),
    'lpa':x.find(class_="jobText").text.encode('utf-8'),
    'loc':x.find(class_="location").text.encode('utf-8'))

    print("Loading data in csv")
    with open('dataminer.csv', 'w') as f:
    fields = ['salary', 'loc', 'cname', 'pname', 'lpa']
    writer = csv.DictWriter(f, fieldnames=fields)
    writer.writeheader()
    writer.writerows(data)






    share|improve this answer












    share|improve this answer



    share|improve this answer










    answered Mar 26 at 9:36









    Sohan DasSohan Das

    7182 gold badges4 silver badges11 bronze badges




    7182 gold badges4 silver badges11 bronze badges












    • Hi thank you so much for the code it's really works great!. I have one question why some unwanted contain are getting in csv file?

      – TechGenz Hosting
      Mar 26 at 9:47











    • you can use replace() to replace those unwanted content and for tab and new line use strip()

      – Sohan Das
      Mar 26 at 9:51











    • thanks for this

      – TechGenz Hosting
      Mar 26 at 9:58

















    • Hi thank you so much for the code it's really works great!. I have one question why some unwanted contain are getting in csv file?

      – TechGenz Hosting
      Mar 26 at 9:47











    • you can use replace() to replace those unwanted content and for tab and new line use strip()

      – Sohan Das
      Mar 26 at 9:51











    • thanks for this

      – TechGenz Hosting
      Mar 26 at 9:58
















    Hi thank you so much for the code it's really works great!. I have one question why some unwanted contain are getting in csv file?

    – TechGenz Hosting
    Mar 26 at 9:47





    Hi thank you so much for the code it's really works great!. I have one question why some unwanted contain are getting in csv file?

    – TechGenz Hosting
    Mar 26 at 9:47













    you can use replace() to replace those unwanted content and for tab and new line use strip()

    – Sohan Das
    Mar 26 at 9:51





    you can use replace() to replace those unwanted content and for tab and new line use strip()

    – Sohan Das
    Mar 26 at 9:51













    thanks for this

    – TechGenz Hosting
    Mar 26 at 9:58





    thanks for this

    – TechGenz Hosting
    Mar 26 at 9:58













    0














    Apart from what you have got in other answer, you can scrape and write the content at the same time as well. I used .select() instead of .find_all() to achieve the same.



    import csv
    import requests
    from bs4 import BeautifulSoup

    URL = "https://www.myamcat.com/jobs"

    page = requests.get(URL)
    soup = BeautifulSoup(page.text, 'lxml')
    with open('myamcat_doc.csv','w',newline="",encoding="utf-8") as f:
    writer = csv.writer(f)
    writer.writerow(['pname','cname','salary','loc'])

    for item in soup.select(".job-listing .content"):
    pname = item.select_one(".profile-name h3").get_text(strip=True)
    cname = item.select_one(".company_name").get_text(strip=True)
    salary = item.select_one(".salary .jobText").get_text(strip=True)
    loc = item.select_one(".location .jobText").get_text(strip=True)
    writer.writerow([pname,cname,salary,loc])





    share|improve this answer





























      0














      Apart from what you have got in other answer, you can scrape and write the content at the same time as well. I used .select() instead of .find_all() to achieve the same.



      import csv
      import requests
      from bs4 import BeautifulSoup

      URL = "https://www.myamcat.com/jobs"

      page = requests.get(URL)
      soup = BeautifulSoup(page.text, 'lxml')
      with open('myamcat_doc.csv','w',newline="",encoding="utf-8") as f:
      writer = csv.writer(f)
      writer.writerow(['pname','cname','salary','loc'])

      for item in soup.select(".job-listing .content"):
      pname = item.select_one(".profile-name h3").get_text(strip=True)
      cname = item.select_one(".company_name").get_text(strip=True)
      salary = item.select_one(".salary .jobText").get_text(strip=True)
      loc = item.select_one(".location .jobText").get_text(strip=True)
      writer.writerow([pname,cname,salary,loc])





      share|improve this answer



























        0












        0








        0







        Apart from what you have got in other answer, you can scrape and write the content at the same time as well. I used .select() instead of .find_all() to achieve the same.



        import csv
        import requests
        from bs4 import BeautifulSoup

        URL = "https://www.myamcat.com/jobs"

        page = requests.get(URL)
        soup = BeautifulSoup(page.text, 'lxml')
        with open('myamcat_doc.csv','w',newline="",encoding="utf-8") as f:
        writer = csv.writer(f)
        writer.writerow(['pname','cname','salary','loc'])

        for item in soup.select(".job-listing .content"):
        pname = item.select_one(".profile-name h3").get_text(strip=True)
        cname = item.select_one(".company_name").get_text(strip=True)
        salary = item.select_one(".salary .jobText").get_text(strip=True)
        loc = item.select_one(".location .jobText").get_text(strip=True)
        writer.writerow([pname,cname,salary,loc])





        share|improve this answer















        Apart from what you have got in other answer, you can scrape and write the content at the same time as well. I used .select() instead of .find_all() to achieve the same.



        import csv
        import requests
        from bs4 import BeautifulSoup

        URL = "https://www.myamcat.com/jobs"

        page = requests.get(URL)
        soup = BeautifulSoup(page.text, 'lxml')
        with open('myamcat_doc.csv','w',newline="",encoding="utf-8") as f:
        writer = csv.writer(f)
        writer.writerow(['pname','cname','salary','loc'])

        for item in soup.select(".job-listing .content"):
        pname = item.select_one(".profile-name h3").get_text(strip=True)
        cname = item.select_one(".company_name").get_text(strip=True)
        salary = item.select_one(".salary .jobText").get_text(strip=True)
        loc = item.select_one(".location .jobText").get_text(strip=True)
        writer.writerow([pname,cname,salary,loc])






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        edited Mar 26 at 12:20

























        answered Mar 26 at 12:15









        SIMSIM

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