ZOMATO API 1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ZOMATO API \n",
    "For this project, we are using the Zomato API.\n",
    "Zomato APIs give you access to the freshest and most exhaustive information for over 1.5 million restaurants across 10,000 cities globally.\n",
    "Zomato API documentation link\n",
    "Our Motivation for using Zomato API\n",
    "By Collecting the data using Zomato API one can recommend restaurants on the basis of user’s affinity to specific cuisines, establishment types, locations, and price bands.\n",
    "We can find out whether restaurant support online reservation or not.\n",
    "We can find what is the most popular and/ or exclusive/new at a given location & time.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ZOMATO CUISINE PROBLEMS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "73\n"
     ]
    }
   ],
   "source": [
    "#1. Fetch the cuisine_id of ‘Mexican’ cuisine using Zomato API. Print the cuisine_id.\n",
    "#SOURCE CODE\n",
    "import requests\n",
    "import json\n",
    "resp=requests.get(\"https://developers.zomato.com/api/v2.1/cities\",params={\"q\":\"Mexico\"},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "# print(resp.status_code)\n",
    "# print(resp.url)\n",
    "data=json.loads(resp.text)\n",
    "# print(data)\n",
    "resp1=requests.get(\"https://developers.zomato.com/api/v2.1/cuisines\",params={\"city_id\":\"1\"},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "data2=resp1.json()\n",
    "for i in data2[\"cuisines\"]:\n",
    "    if i[\"cuisine\"][\"cuisine_name\"]==\"Mexican\":\n",
    "        print(i[\"cuisine\"][\"cuisine_id\"])\n",
    "\n",
    "#efc6f149ec2ca6b1d7941e9a7cbb0625 . THIS IS MY UNIQUE API KEY"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#2. Fetch the entityid and entitytype of place Connaught Place. Print the entityid and entitytype.\n",
    "\n",
    "\n",
    "import requests\n",
    "import json\n",
    "resp=requests.get(\"https://developers.zomato.com/api/v2.1/cities\",params={\"q\":\"Mexico\"},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "# print(resp.status_code)\n",
    "# print(resp.url)\n",
    "data=json.loads(resp.text)\n",
    "# print(data)\n",
    "resp1=requests.get(\"https://developers.zomato.com/api/v2.1/locations\",params={\"query\":\"Connaught Place\"},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "data2=resp1.json()\n",
    "print(data2[\"location_suggestions\"][0][\"entity_type\"],data2[\"location_suggestions\"][0][\"entity_id\"])\n",
    "#efc6f149ec2ca6b1d7941e9a7cbb0625"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#3. Fetch the top 10 best-rated restaurant serving ‘Mexican’ cuisine present in Connaught Place.\n",
    "#Print the restaurant name, user rating and restaurant id.\n",
    "\n",
    "\n",
    "import requests\n",
    "import json\n",
    "import numpy\n",
    "resp=requests.get(\"https://developers.zomato.com/api/v2.1/search\",\n",
    "                  params={\"entity_id\":\"104\",\"entity_type\":\"subzone\",\"cuisines\":\"73\"\n",
    "                      ,\"sort\":\"rating\",\"order\":\"desc\",\"count\":10,\"start\":0},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "\n",
    "# print(resp.status_code)\n",
    "# print(resp.url)\n",
    "data=json.loads(resp.text)\n",
    "# data1=resp1.json()\n",
    "# data2=resp2.json()\n",
    "name=[]\n",
    "rating=[]\n",
    "id=[]\n",
    "c=0\n",
    "for i in data[\"restaurants\"]:\n",
    "    # if \"Mexican\" in i[\"restaurant\"][\"cuisines\"]:\n",
    "    name.append(i[\"restaurant\"][\"name\"])\n",
    "    rating.append(i[\"restaurant\"][\"user_rating\"][\"aggregate_rating\"])\n",
    "    id.append(i[\"restaurant\"][\"id\"])\n",
    "\n",
    "\n",
    "lis1=numpy.argsort(rating)\n",
    "\n",
    "for i in range(len(name)):\n",
    "    print(name[i],rating[i],id[i])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#4. Fetch the category id of category type ‘Cafes’ using Zomato API. Print the category_id.\n",
    "\n",
    "import requests\n",
    "import json\n",
    "resp=requests.get(\"https://developers.zomato.com/api/v2.1/cities\",params={\"q\":\"Mexico\"},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "# print(resp.status_code)\n",
    "# print(resp.url)\n",
    "data=json.loads(resp.text)\n",
    "# print(data)\n",
    "resp1=requests.get(\"https://developers.zomato.com/api/v2.1/categories\",headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "data2=resp1.json()\n",
    "# print(data2)\n",
    "for i in data2[\"categories\"]:\n",
    "\n",
    "        if i[\"categories\"][\"name\"]== \"Cafes\":\n",
    "            print(i[\"categories\"][\"id\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ZOMATO RESTURANT PROBLEMS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#5. Fetch the best-rated restaurant for ‘Mexican’ cuisine with category type ‘ Cafes’ present in\n",
    "#Connaught Place using Zomato API.\n",
    "#Print the restaurant name, user rating and restaurant id\n",
    "\n",
    "\n",
    "#3a1a2e50ab0a85b8c3d085c64ba849bd\n",
    "import requests\n",
    "import json\n",
    "import numpy\n",
    "resp=requests.get(\"https://developers.zomato.com/api/v2.1/search\",\n",
    "                  params={\"entity_id\":\"104\",\"entity_type\":\"subzone\",\"cuisines\":\"73\",\"count\":10,\"start\":0,\n",
    "                          \"sort\":\"rating\",\"order\":\"desc\",\n",
    "                          \"category\":\"6\"},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "resp1=requests.get(\"https://developers.zomato.com/api/v2.1/search\",\n",
    "                  params={\"entity_id\":\"104\",\"entity_type\":\"subzone\",\"cuisines\":\"73\",\"count\":100,\"start\":20,\n",
    "                          \"category\":\"6\"},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "resp2=requests.get(\"https://developers.zomato.com/api/v2.1/search\",\n",
    "                  params={\"entity_id\":\"104\",\"entity_type\":\"subzone\",\"cuisines\":\"73\"\n",
    "                   ,\"category\":\"6\",\"count\":100,\"start\":40},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "# print(resp.status_code)\n",
    "# print(resp.url)\n",
    "data=json.loads(resp.text)\n",
    "data1=resp1.json()\n",
    "data2=resp2.json()\n",
    "name=[]\n",
    "rating=[]\n",
    "id=[]\n",
    "c=0\n",
    "# print(data)\n",
    "for i in data[\"restaurants\"]:\n",
    "    print(i[\"restaurant\"][\"name\"],i[\"restaurant\"][\"user_rating\"][\"aggregate_rating\"],i[\"restaurant\"][\"id\"])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#6.Fetch the latest review of the best-rated restaurant for ‘Mexican’ cuisine with Category type \n",
    "#‘Cafes’ present in Connaught Place using Zomato API.\n",
    "#Print the name of user ,user rating and review text.\n",
    "\n",
    "\n",
    "import requests\n",
    "import json\n",
    "import numpy\n",
    "resp=requests.get(\"https://developers.zomato.com/api/v2.1/reviews\",\n",
    "                  params={\"res_id\":18241537},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "resp1=requests.get(\"https://developers.zomato.com/api/v2.1/search\",\n",
    "                  params={\"entity_id\":\"104\",\"entity_type\":\"subzone\",\"cuisines\":\"73\",\"count\":100,\"start\":20,\n",
    "                          \"category\":\"6\"},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "resp2=requests.get(\"https://developers.zomato.com/api/v2.1/search\",\n",
    "                  params={\"entity_id\":\"104\",\"entity_type\":\"subzone\",\"cuisines\":\"73\"\n",
    "                   ,\"category\":\"6\",\"count\":100,\"start\":40},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "# print(resp.status_code)\n",
    "# print(resp.url)\n",
    "data=json.loads(resp.text)\n",
    "data1=resp1.json()\n",
    "data2=resp2.json()\n",
    "name=[]\n",
    "rating=[]\n",
    "id=[]\n",
    "c=0\n",
    "# print(data)\n",
    "for i in data[\"user_reviews\"]:\n",
    "        print(i[\"review\"][\"user\"][\"name\"],i[\"review\"][\"rating\"],i[\"review\"][\"review_text\"])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#7. Fetch the details of restaurant 736 AD using Zomato API.\n",
    "#Print the user rating, average cost for two, cuisines and address of 736 AD.\n",
    "\n",
    "#3a1a2e50ab0a85b8c3d085c64ba849bd\n",
    "import requests\n",
    "import json\n",
    "resp=requests.get(\"https://developers.zomato.com/api/v2.1/search\",params={\"q\":\"736 AD\"},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "# print(resp.status_code)\n",
    "# print(resp.url)\n",
    "data=json.loads(resp.text)\n",
    "# print(data)\n",
    "resp1=requests.get(\"https://developers.zomato.com/api/v2.1/categories\",headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "data2=resp1.json()\n",
    "# print(data)\n",
    "for i in data[\"restaurants\"]:\n",
    "    if i[\"restaurant\"][\"name\"] == \"736 A.D.\":\n",
    "        print(i[\"restaurant\"][\"user_rating\"][\"aggregate_rating\"])\n",
    "        print(i[\"restaurant\"][\"average_cost_for_two\"])\n",
    "        print(i[\"restaurant\"][\"cuisines\"])\n",
    "        print(i[\"restaurant\"][\"location\"][\"address\"])\n",
    "        break\n",
    "#efc6f149ec2ca6b1d7941e9a7cbb0625\n",
    "# print(4.3)\n",
    "# print(1400)\n",
    "# print(\"North Indian, Continental, Italian, Chinese, Momos\")\n",
    "# print(\"G-15/B, Vijay Nagar, New Delhi\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#8. Fetch the latest review of restaurant 736 AD using Zomato API.\n",
    "# Print the name of user ,user rating and review text.\n",
    "\n",
    "\n",
    "import requests\n",
    "import json\n",
    "import numpy\n",
    "resp=requests.get(\"https://developers.zomato.com/api/v2.1/reviews\",\n",
    "                  params={\"res_id\":18241524},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "resp1=requests.get(\"https://developers.zomato.com/api/v2.1/search\",\n",
    "                  params={\"entity_id\":\"104\",\"entity_type\":\"subzone\",\"cuisines\":\"73\",\"count\":100,\"start\":20,\n",
    "                          \"category\":\"6\"},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "resp2=requests.get(\"https://developers.zomato.com/api/v2.1/search\",\n",
    "                  params={\"entity_id\":\"104\",\"entity_type\":\"subzone\",\"cuisines\":\"73\"\n",
    "                   ,\"category\":\"6\",\"count\":100,\"start\":40},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "# print(resp.status_code)\n",
    "# print(resp.url)\n",
    "data=json.loads(resp.text)\n",
    "data1=resp1.json()\n",
    "data2=resp2.json()\n",
    "name=[]\n",
    "rating=[]\n",
    "id=[]\n",
    "c=0\n",
    "# print(data)\n",
    "for i in data[\"user_reviews\"]:\n",
    "        print(i[\"review\"][\"user\"][\"name\"],i[\"review\"][\"rating\"],i[\"review\"][\"review_text\"])\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ZOMATO DISTANCE PROBLEMS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#9.Fetch the list of the top 10 restaurants serving cuisine ‘BBQ’ which are nearest to Coding Ninjas.\n",
    "# Print the restaurant name, user rating, restaurant id and locality in which restaurant is present.\n",
    "\n",
    "\n",
    "import requests\n",
    "import json\n",
    "import numpy\n",
    "resp=requests.get(\"https://developers.zomato.com/api/v2.1/search\",\n",
    "                  params={\"cuisines\":\"193\",\"lat\":28.697513,\"lon\":77.1384332,\"sort\":\"real_distance\"\n",
    "                      ,\"order\":\"asc\",\"count\":10,\"start\":0},\n",
    "                  headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "\n",
    "# print(resp.status_code)\n",
    "# print(resp.url)\n",
    "data=json.loads(resp.text)\n",
    "# data1=resp1.json()\n",
    "# data2=resp2.json()\n",
    "# print(data)\n",
    "for i in data[\"restaurants\"]:\n",
    "    print(i[\"restaurant\"][\"name\"],i[\"restaurant\"][\"user_rating\"][\"aggregate_rating\"],\n",
    "          i[\"restaurant\"][\"id\"],i[\"restaurant\"][\"location\"][\"locality\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#10. Fetch the latest review of the restaurant serving cuisine ‘BBQ’ which is most nearest to Coding ninjas?\n",
    "# Print the name of user ,user rating and review text.\n",
    "\n",
    "\n",
    "\n",
    "import requests\n",
    "import json\n",
    "import numpy\n",
    "resp=requests.get(\"https://developers.zomato.com/api/v2.1/reviews\",\n",
    "                  params={\"res_id\":18204820},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "resp1=requests.get(\"https://developers.zomato.com/api/v2.1/search\",\n",
    "                  params={\"entity_id\":\"104\",\"entity_type\":\"subzone\",\"cuisines\":\"73\",\"count\":100,\"start\":20,\n",
    "                          \"category\":\"6\"},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "resp2=requests.get(\"https://developers.zomato.com/api/v2.1/search\",\n",
    "                  params={\"entity_id\":\"104\",\"entity_type\":\"subzone\",\"cuisines\":\"73\"\n",
    "                   ,\"category\":\"6\",\"count\":100,\"start\":40},headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "# print(resp.status_code)\n",
    "# print(resp.url)\n",
    "data=json.loads(resp.text)\n",
    "data1=resp1.json()\n",
    "data2=resp2.json()\n",
    "name=[]\n",
    "rating=[]\n",
    "id=[]\n",
    "c=0\n",
    "# print(data)\n",
    "for i in data[\"user_reviews\"]:\n",
    "        print(i[\"review\"][\"user\"][\"name\"],i[\"review\"][\"rating\"],i[\"review\"][\"review_text\"])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#11. Experiment with the radius parameter that is present in ‘GET/search’. \n",
    "# Fetch the list of top 10 best-restaurant present in a radius of 4 km of coding ninjas.\n",
    "# Print the restaurant name, user rating, restaurant id and locality in which restaurant is present.\n",
    "\n",
    "\n",
    "import requests\n",
    "import json\n",
    "import numpy\n",
    "resp=requests.get(\"https://developers.zomato.com/api/v2.1/search\",\n",
    "                  params={\"radius\":4000,\"lat\":28.697513,\"lon\":77.1384332,\"sort\":\"rating\"\n",
    "                      ,\"order\":\"desc\",\"count\":10,\"start\":0},\n",
    "                  headers={\"user-key\":\"efc6f149ec2ca6b1d7941e9a7cbb0625\"})\n",
    "\n",
    "# print(resp.status_code)\n",
    "# print(resp.url)\n",
    "data=json.loads(resp.text)\n",
    "# data1=resp1.json()\n",
    "# data2=resp2.json()\n",
    "# print(data)\n",
    "for i in data[\"restaurants\"]:\n",
    "    print(i[\"restaurant\"][\"name\"],i[\"restaurant\"][\"user_rating\"][\"aggregate_rating\"],\n",
    "          i[\"restaurant\"][\"id\"],i[\"restaurant\"][\"location\"][\"locality\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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