How to use Requests.Get to produce a list of status codes for a large number of sites

I'm a novice python programmer and I'm trying to use the requests library to find http status codes for a large list of urls, put those status codes into their own array, then add the status code array back to the dataframe as a new column.

Here's a very basic version of the code that I'm using.

import requests
import pandas as pd

targets =pd.read_csv('/file/path.csv',header=None)
targetList =targets.values
for i in targetList:
    r = requests.get (f"{i}")
    r.status_code

I'm not concerned about the dataframe manipulation, that seems simple enough. And I can get the requests to work as discrete incidents

r=requests.get(targetList.item(0))
code=r.status_code
code

200

When I try to run the for loop however I get the following error.

InvalidSchema: No connection adapaters were found for "['https://www.google.com']"

Clearly the program is at least getting far enough to understand that the items in the list are strings, and understands the contents of those strings. But there's a disconnect happening that I don't understand.

Solution

variable i gives you list with all values in row - even if you have only one column - and you have to get single value from this list - ie. i[0]

import pandas as pd

data = {
    'urls': ['url1','url2','url2'], 
} 

df = pd.DataFrame(data)
 
for row in df.values:
    url = row[0]
    #print('row:', f'{row}')
    #print('url:', f'{url}')
    print('row:', row)
    print('url:', url)

    #requests.get(url)

    print('---')

Result:

row: ['url1']
url: url1
---
row: ['url2']
url: url2
---
row: ['url2']
url: url2
---

Or you should select single column - df['urls']

for url in df['urls']:
    #print('url:', f'{url}')
    print('url:', url)

    #requests.get(url)

    print('---')

Result:

url: url1
---
url: url2
---
url: url2
---