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You can check out this gist link for the yahoo finance ticker symbol to name conversion which I made by scraping the yahoo-finance screener page - https://gist.github.com/vipul79321/07a814b850710b0c0f17a1394f0e206c

or alternately you can use this code. Do remember to update the BASE_URL by creating a suitable screener for your use case -

import request
import json
import time

BASE_URL = "https://in.finance.yahoo.com/screener/unsaved/2af53bef-86ce-40bb-bc6d-941183afd568?offset=OFFSET&count=COUNT"

cnt = 100
offset = 0
flag = 1
temp  = 10
name_to_symbol = dict()

while flag > 0:
    url = BASE_URL.replace("OFFSET", str(offset))
    url = url.replace("COUNT",str(cnt))
    offset += cnt
    
    response = requests.get(url)
    s = str(response.text)
    jsonArrayStart = s.find('"results":{"rows"') + 18
    jsonArrayEnd = jsonArrayStart + 1

    while s[jsonArrayEnd] != ']':
        jsonArrayEnd += 1
    
    jsonArrayString = s[jsonArrayStart: jsonArrayEnd+1]
    jsonArray = json.loads(jsonArrayString)
    print(len(jsonArray))
    if len(jsonArray) != cnt:
        flag = 0
        
    for obj in jsonArray:
        if 'longName' in obj:
            name_to_symbol[obj['symbol']] = obj['longName']
        elif 'shortName' in obj:
            name_to_symbol[obj['symbol']] = obj['shortName']
        else:
            name_to_symbol[obj['symbol']] = obj['symbol']
    
    time.sleep(10)