Json_API.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Is it visible ? \n"
     ]
    }
   ],
   "source": [
    "print(\"Is it visible ? \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "mydict = {\n",
    "    'name':'arya college',\n",
    "    'est. year' : 2008,\n",
    "    'Area' : None,\n",
    "    'Streams' : [ 'CS','IT'],\n",
    "    'College' : True,\n",
    "    'faculty' : ('rahul','RKT','Akhil Pandey'),\n",
    "    #'ranking' : { 1,2,3,4,5,6,7},\n",
    "    'Unversity' : False,\n",
    "    'Type' : { 'college':'b.tech','data':'some object'}\n",
    "}\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'dict'>\n"
     ]
    }
   ],
   "source": [
    "print(type(mydict))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "json_object = json.dumps(mydict)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\"name\": \"arya college\", \"est. year\": 2008, \"Area\": null, \"Streams\": [\"CS\", \"IT\"], \"College\": true, \"faculty\": [\"rahul\", \"RKT\", \"Akhil Pandey\"], \"Unversity\": false, \"Type\": {\"college\": \"b.tech\", \"data\": \"some object\"}}\n"
     ]
    }
   ],
   "source": [
    "print(json_object)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_dict = json.loads(json_object)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'name': 'arya college',\n",
       " 'est. year': 2008,\n",
       " 'Area': None,\n",
       " 'Streams': ['CS', 'IT'],\n",
       " 'College': True,\n",
       " 'faculty': ['rahul', 'RKT', 'Akhil Pandey'],\n",
       " 'Unversity': False,\n",
       " 'Type': {'college': 'b.tech', 'data': 'some object'}}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3, 4, 45]\n"
     ]
    }
   ],
   "source": [
    "l = [ 1,2,3,4,45]\n",
    "d = json.dumps(l)\n",
    "print(d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 2, 3, 4, 45]\n"
     ]
    }
   ],
   "source": [
    "data = json.loads(d)\n",
    "print(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = \"https://graph.facebook.com/v3.2/me?fields=name,birthday,posts&access_token=Your_Token\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "page = requests.get('https://grras.com')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "200"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "page.status_code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "conent = page.content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = requests.get(url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "200"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.status_code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "json_data = data.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'dict'>\n"
     ]
    }
   ],
   "source": [
    "print(type(json_data))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['name', 'birthday', 'posts', 'id'])"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "json_data.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Yadvendra Singh'"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "json_data['name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'05/25/1996'"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "json_data['birthday']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['data', 'paging'])"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "json_data['posts'].keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://graph.facebook.com/v3.2/1172663579559902/posts?access_token=EAANo3WBh9FMBADFDv9Mxvq9cPk0V6pRtgOrf2a8J9ZA0vYYIWlZAsM6stPIIHtIBqIBViNds9ZCo8dukFZCFI2WcGwPZCqcUZBJFBNqnQSoXjtZCH40IMtzhz5l97ut50GG05xxI6PTBByp7kMWOtVhEOm0zTzaVdWPOznsULVxc647Kgiw9tkabCOPdkNPT7AtMmtDOAM4rgZDZD&limit=25&until=1477065410&__paging_token=enc_AdCzhikeC5KnhfzlCv4Dpd8w5GJFdYxzof3SuV3uybdZCdz3u4CUfooiEYZBKzfvSz44zoPdqUnU7YrAm1BMe9TAPZCuQhWuCnoIhQNcTAssPA91gZDZD'"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "json_data['posts']['paging']['next']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2019-01-19T17:52:05+0000\n",
      "2019-01-17T16:33:38+0000\n",
      "2019-01-10T04:16:39+0000\n",
      "2018-10-24T08:17:52+0000\n",
      "2018-10-24T08:15:44+0000\n",
      "2018-10-17T11:28:49+0000\n",
      "2018-04-29T05:42:19+0000\n",
      "2018-04-04T09:35:22+0000\n",
      "2018-03-27T05:34:26+0000\n",
      "2018-03-15T15:37:38+0000\n",
      "2017-12-14T20:19:17+0000\n",
      "2017-11-21T19:28:00+0000\n",
      "2017-07-04T16:00:49+0000\n",
      "2017-07-03T03:40:24+0000\n",
      "2017-06-19T03:48:57+0000\n",
      "2017-06-17T05:13:04+0000\n",
      "2017-05-09T14:25:11+0000\n",
      "2017-05-07T07:36:49+0000\n",
      "2016-12-11T21:28:00+0000\n",
      "2016-10-21T15:59:57+0000\n",
      "2016-10-21T15:56:50+0000\n"
     ]
    }
   ],
   "source": [
    "for item in json_data['posts']['data'] : \n",
    "    print(item['created_time'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "key = \"AIzaSyBZ3MNgPToz4UWi_sofaFYMdeenolad63k\"\n",
    "place = input(\"Search a Place : \").strip().lower()\n",
    "place  = place.replace(' ','%20')\n",
    "url = \"https://maps.googleapis.com/maps/api/place/findplacefromtext/json?input={}&inputtype=textquery&fields=photos,formatted_address,name,rating,opening_hours,geometry&key={}\".format(place,key)\n",
    "page = requests.get(url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "200"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "page.status_code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = page.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['candidates', 'status'])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(data['candidates'][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['formatted_address', 'geometry', 'name', 'opening_hours', 'photos', 'rating'])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['candidates'][0].keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "address = data['candidates'][0]['formatted_address']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Paryavaran 2nd Rd, RICCO Industrial Area, Kishangarh, Rajasthan 305801, India'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "address"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "photo = data['candidates'][0]['photos']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'height': 3456,\n",
       "  'html_attributions': ['<a href=\"https://maps.google.com/maps/contrib/103208428357949927998/photos\">Er.Suresh Rathore</a>'],\n",
       "  'photo_reference': 'CmRaAAAAfuyPU9IUd-wBC0mXUVaskjaPjzNx1nD6CXdbqnzR70hKzoehDng8fXRkXNe6Hw92igYpWmdsPi624E7Ehb2e4W1AdQmhTHXfbdbId8HzGKbmNSQMdo791PLWkWs36RUlEhDUmICi_x6COVwZ-5-454IoGhQ7xs0L5CGmS7iv1PLgNPMoegtl0g',\n",
       "  'width': 4608}]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "photo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "photo_reference = photo[0]['photo_reference']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'CmRaAAAAfuyPU9IUd-wBC0mXUVaskjaPjzNx1nD6CXdbqnzR70hKzoehDng8fXRkXNe6Hw92igYpWmdsPi624E7Ehb2e4W1AdQmhTHXfbdbId8HzGKbmNSQMdo791PLWkWs36RUlEhDUmICi_x6COVwZ-5-454IoGhQ7xs0L5CGmS7iv1PLgNPMoegtl0g'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "photo_reference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = f\"https://maps.googleapis.com/maps/api/place/photo?maxwidth=400&photoreference={photo_reference}&key={key}\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://maps.googleapis.com/maps/api/place/photo?maxwidth=400&photoreference=CmRaAAAAfuyPU9IUd-wBC0mXUVaskjaPjzNx1nD6CXdbqnzR70hKzoehDng8fXRkXNe6Hw92igYpWmdsPi624E7Ehb2e4W1AdQmhTHXfbdbId8HzGKbmNSQMdo791PLWkWs36RUlEhDUmICi_x6COVwZ-5-454IoGhQ7xs0L5CGmS7iv1PLgNPMoegtl0g&key=AIzaSyBZ3MNgPToz4UWi_sofaFYMdeenolad63k\n"
     ]
    }
   ],
   "source": [
    "print(url)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "page = requests.get(url)\n",
    "f  = open('temp.jpeg','wb')\n",
    "f.write(page.content)\n",
    "f.close()\n",
    "import matplotlib.pyplot as plt\n",
    "with open('temp.jpeg','rb') as fp : \n",
    "    img = plt.imread(fp)\n",
    "    fp.close()\n",
    "plt.imshow(img)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "page.status_code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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