Python Requests Returns Incomprehensible Content

You can try to use their Ajax API to load all usernames + thumb images:

import pandas as pd
import requests

url = '

headers = {'X-Requested-With': 'XMLHttpRequest'}

all_data = []
for p in range(1, 4):  # <-- increase number of pages here
    data = requests.get(url.format(p * 144), headers=headers).json()
    for m in data['models']:
        all_data.append((m['username'], m['display_name'], m['thumb_image'].replace('{ext}', 'jpg')))

df = pd.DataFrame(all_data, columns=['username', 'display_name', 'thumb'])
print(df.head())

Prints:

     username  display_name                                                  thumb
0     wetlilu   Little_Lilu  //
1  mellannie8  mellannieSEX  //
2    mokkoann      mokkoann  //
3    ogurezzi  CynEp-nuCbka  //
4   Pepetka22     _-Katya-_  //

Avoid using . in a regex unless you really want to get any character; here, the usernames (as far as I can see) only contain - and alphanumeric characters, so you can retrieve them with:

re.findall(r'"username":"([\w|-]+)"',data.text)

An even simpler way, which will remove the need to deal with special characters by getting all characters except " is:

re.findall(r'"username":"([^"]+)"',data.text)

So here's a way of getting the info you seek (I joined them into a dictionary, but you can change that to whatever you prefer):

import requests
import re

data = requests.get(')
with open ("return.txt",'w', encoding = 'utf-8') as f:
    f.write(data.text)

names = re.findall(r'"username":"([^"]+)"',data.text)
disp_names = re.findall(r'"display_name":"([^"]+)"',data.text)
thumbs = re.findall(r'"thumb_image":"([^"]+)"',data.text)

names_dict = {name:[disp, thumb.replace('{ext}', 'jpg')] for name, disp, thumb in zip(names, disp_names, thumbs)}

Example

names_dict['JuliaCute']
# ['_Cute',
#  '\\/\\/i.bimbolive.com\\/live\\/055\\/2b0\\/15d\\/xbig_lq\\/d89ef4.jpg']