How do I copy cookies from Chrome?

Can't believe no one has mentioned this. Here's the easiest and quickest way.

Simply open up your browser's Developer Tools, click on the Console tab, and lastly within the console, simply type the following & press ENTER...

console.log(document.cookie)

The results will be immediately printed in proper syntax. Simply highlight it and copy it.

In Chrome:

• Open web developer tools (view -> developer -> developer tools)
• Open the Application tab (on older versions, Resources)
• Open the Cookies tree
• Find the cookie you are interested in.

In the terminal

• add --cookie "cookiename=cookievalue" to your curl request.

I was curious if others were reporting that chrome doesn't allow "copy as curl" feature to have cookies anymore.

It then occurred to me that this is like a security idea. If you visit example.com, copying requests as curl to example.com will have cookies. However, copying requests to other domains or subdomains will sanitize the cookies. a.example.com or test.com will not have cookies for example.

For anyone that wants all of the cookies for a site, but doesn't want to use an extension:

• Open developer tools -> Application -> Cookies.
• Select the first cookie in the list and hit Ctrl/Cmd-A
• Copy all of the data in this table with Ctrl/Cmd-C

Now you have a TSV (tab-separated value) string of cookie data. You can process this in any language you want, but in Python (for example):

import io
import pandas as pd

cookie_str = """[paste cookie str here]"""

# Copied from the developer tools window.
cols = ['name', 'value', 'domain', 'path', 'max_age', 'size', 'http_only', 'secure', 'same_party', 'priority']

# Parse into a dataframe.
df = pd.read_csv(io.StringIO(cookie_str), sep='\t', names=cols, index_col=False)

Now you can export them in Netscape format:

# Fill in NaNs and format True/False for cookies.txt.
df = df.fillna(False).assign(flag=True).replace({True: 'TRUE', False: 'FALSE'})
# Get unix timestamp from max_age
max_age = (
    df.max_age
    .replace({'Session': np.nan})
    .pipe(pd.to_datetime))
start = pd.Timestamp("1970-01-01", tz='UTC')
max_age = (
    ((max_age - start) // pd.Timedelta('1s'))
    .fillna(0)  # Session expiry are 0s
    .astype(int))  # Floats end with ".0"
df = df.assign(max_age=max_age)

cookie_file_cols = ['domain', 'flag', 'path', 'secure', 'max_age', 'name', 'value']
with open('cookies.txt') as fh:
  # Python's cookiejar wants this header.
  fh.write('# Netscape HTTP Cookie File\n')
  df[cookie_file_cols].to_csv(fh, sep='\t', index=False, header=False)

And finally, back to the shell:

# Get user agent from navigator.userAgent in devtools
wget -U $USER_AGENT --load-cookies cookies.txt $YOUR_URL

Another solution - Login via Post Request

• Login via POST request

• Save the cookie

• Then make your requests.

let cookies_object = {}

cookie_array = document.cookie.split("; ");

cookie_array.forEach((element) => {
    const key_value = element.split("=");
    cookies_object[key_value[0]] = key_value[1];
});

console.log(cookies_object);

This code splits the document.cookie string into individual cookie key-value pairs and adds them to the cookies_object