roblox random catalog item generator

#needs python
# needs visual studio code
#needs to have a chosen folder in visual studio code
#run in visual studio code

from token import LESS
import requests
import time
import pandas as pd
import random
import string
print('')
print('made by dsploiter')
print('generates up to 2880 random items!')
print('')
print('')
print("If you get error : KeyError: 'data'")
print('then you try to much to generate.')
print('cool down a bit')
print('')
page = 1
res = []
pagelayers = 1
url = "https://catalog.roblox.com/v1/search/items"
for pagelayers in range(1,27):
    strdrr = '{}%'
    cac = page * 3.5
    print(strdrr.format(cac))
    page = page + 1
    querystring = {"category":"All","cursor":"3_1_12e0c8b6ec6b5d9aaf9df750dd40c127","limit":"120","salesTypeFilter":f"{page}"}
    payload = ''
    headers = {
    "authority": "catalog.roblox.com",
    "accept": "application/json, text/plain, */*",
    "accept-language": "nl,en;q=0.9,en-GB;q=0.8,en-US;q=0.7",
    "cookie": "GuestData=UserID=-1126746035; __utmz=200924205.1690597033.80.16.utmcsr=roblox.com|utmccn=(referral)|utmcmd=referral|utmcct=/; __utma=200924205.1723534138.1686249197.1690890428.1692101755.83; _gcl_au=1.1.656784644.1695905900; .RBXIDCHECK=7715e155-b317-474a-8961-f6aef7aaadcf; _ga_9HRYHVCY79=GS1.2.1696170976.8.0.1696170976.0.0.0; RBXSource=rbx_acquisition_time=10/7/2023 2:53:57 PM&rbx_acquisition_referrer=&rbx_medium=Direct&rbx_source=&rbx_campaign=&rbx_adgroup=&rbx_keyword=&rbx_matchtype=&rbx_send_info=1; _ga=GA1.1.1634218191.1686343370; _ga_BK4ZY0C59K=GS1.1.1697805249.59.1.1697805904.0.0.0; rbx-ip2=; .ROBLOSECURITY=_|WARNING:-DO-NOT-SHARE-THIS.--Sharing-this-will-allow-someone-to-log-in-as-you-and-to-steal-your-ROBUX-and-items.|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ventTrackerV2=CreateDate=10/27/2023 11:47:13 AM&rbxid=4842831049&browserid=175052602644; RBXSessionTracker=sessionid=8add871b-2c15-4072-976b-317906487a40",
    "origin": "https://web.roblox.com",
    "referer": "https://web.roblox.com/",
    "sec-ch-ua": "^\^Not/A",
    "sec-ch-ua-mobile": "?0",
    "sec-ch-ua-platform": "^\^Windows^^",
    "sec-fetch-dest": "empty",
    "sec-fetch-mode": "cors",
    "sec-fetch-site": "same-site",
    "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/115.0.0.0 Safari/537.36 Edg/115.0.1901.188"
}
    r = requests.request("GET", url, data=payload, headers=headers, params=querystring)
    time.sleep(0.1)
    data = r.json()
    for k in data['data']:
        res.append(k)
print('100%')
print('done')
print('')
print('colleciting done')
print('')
df = pd.json_normalize(res)
print('waiting to import')
print('')
df.to_csv('RandomCatalogItems' + random.choice(string.digits) + random.choice(string.digits) + random.choice(string.digits) + '.csv')
print('importing done')
print('')