{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "url = 'https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/vioxx/property/CanonicalSMILES/TXT'\n",
    "data = '''{\n",
    "  \"query\": {\n",
    "    \"bool\": {\n",
    "      \"must\": [\n",
    "        {\n",
    "          \"text\": {\n",
    "            \"record.document\": \"SOME_JOURNAL\"\n",
    "          }\n",
    "        },\n",
    "        {\n",
    "          \"text\": {\n",
    "            \"record.articleTitle\": \"farmers\"\n",
    "          }\n",
    "        }\n",
    "      ],\n",
    "      \"must_not\": [],\n",
    "      \"should\": []\n",
    "    }\n",
    "  },\n",
    "  \"from\": 0,\n",
    "  \"size\": 50,\n",
    "  \"sort\": [],\n",
    "  \"facets\": {}\n",
    "}'''\n",
    "response = requests.post(url, data=data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "200\n",
      "CS(=O)(=O)C1=CC=C(C=C1)C2=C(C(=O)OC2)C3=CC=CC=C3\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(response.status_code)\n",
    "print(response.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "base",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
