├── aparat_get.py
└── .gitignore


/aparat_get.py:
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  1 | import pandas as pd
  2 | import sklearn
  3 | import numpy as np
  4 | import json
  5 | import requests
  6 | 
  7 | base='https://www.aparat.com//etc/api/'
  8 | get=lambda x:requests.get(base+x).json()
  9 | some_videos=lambda :pd.DataFrame({
 10 |     'id':[],
 11 |     'title':[],
 12 |     'username':[],
 13 |     'userid':[],
 14 |     'visit_cnt':[],
 15 |     "uid":[],
 16 |     "process":[],
 17 |     "big_poster":[],
 18 |     "small_poster":[],
 19 |     "duration":[],
 20 |     "sdate":[],
 21 |     "frame":[],
 22 |     "official":[],
 23 |     "autoplay":[],
 24 |     "360d":[]
 25 | })
 26 | 
 27 | one_video=lambda :pd.DataFrame({
 28 |     'id':[],
 29 |     'title':[],
 30 |     'username':[],
 31 |     'userid':[],
 32 |     'visit_cnt':[],
 33 |     "uid":[],
 34 |     "process":[],
 35 |     "sender_name":[],
 36 |     "big_poster":[],
 37 |     "small_poster":[],
 38 |     "profilePhoto":[],
 39 |     "duration":[],
 40 |     "sdate":[],
 41 |     "frame":[],
 42 |     "official":[],
 43 |     "tags":[],
 44 |     "description":[],
 45 |     "cat_id":[],
 46 |     "cat_name":[],
 47 |     "autoplay":[],
 48 |     "360d":[],
 49 |     "has_comment":[],
 50 |     "has_comment_txt":[],
 51 |     "size":[],
 52 |     "watch_action":[],
 53 |     "cost_type":[],
 54 |     "can_download":[],
 55 |     "like_cnt":[]
 56 | })
 57 | 
 58 | one_chanel_data=lambda :pd.DataFrame({
 59 |     "pic_s":[],
 60 |     "pic_m":[],
 61 |     "pic_b":[],
 62 |     "username":[],
 63 |     "name":[],
 64 |     "video_cnt":[],
 65 |     "url":[],
 66 |     "follower_cnt":[],
 67 |     "followed_cnt":[],
 68 |     "descr":[],
 69 |     "official":[],
 70 |     "cloob":[],
 71 |     "lenzor":[],
 72 |     "facebook":[],
 73 |     "twitter":[],
 74 |     "follow_link":[],
 75 |     "follow_status":[],
 76 |     "cover_src":[],
 77 |     "profile_videos":[]
 78 | })
 79 | 
 80 | one_chanel_page=lambda :pd.DataFrame({
 81 |     "cat_id":[],
 82 |     "cat_name":[],
 83 |     "cat_cnt":[],
 84 |     "link":[],
 85 |     "data":[]
 86 | })
 87 | 
 88 | one_profile_data=lambda :pd.DataFrame({
 89 |     "id":[],
 90 |     "username":[],
 91 |     "name":[],
 92 |     "pic":[],
 93 |     "ltoken":[],
 94 |     "banned":[],
 95 |     "email":[],
 96 |     "mobile_number":[],
 97 |     "mobile_valid":[],
 98 |     "pic_s":[],
 99 |     "pic_m":[],
100 |     "pic_b":[],
101 | })
102 | 
103 | form_action=lambda :pd.DataFrame({
104 |     "formAction":[],
105 |     "frm-id":[],
106 | })
107 | 


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/.gitignore:
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  1 | # Byte-compiled / optimized / DLL files
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130 | 


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