langchain/docs/modules/utils/examples/serpapi.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "dc23c48e",
   "metadata": {},
   "source": [
    "# SerpAPI\n",
    "\n",
    "This notebook goes over how to use the SerpAPI component to search the web."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "54bf5afd",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.utilities import SerpAPIWrapper"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "31f8f382",
   "metadata": {},
   "outputs": [],
   "source": [
    "search = SerpAPIWrapper()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "25ce0225",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Barack Hussein Obama II'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "search.run(\"Obama's first name?\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "27f5959a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
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   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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}