{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2dfc4698",
   "metadata": {},
   "source": [
    "# URL\n",
    "\n",
    "This covers how to load HTML documents from a list of URLs into a document format that we can use downstream."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "16c3699e",
   "metadata": {},
   "outputs": [],
   "source": [
    " from langchain.document_loaders import UnstructuredURLLoader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "836fbac1",
   "metadata": {},
   "outputs": [],
   "source": [
    "urls = [\n",
    "    \"https://www.understandingwar.org/backgrounder/russian-offensive-campaign-assessment-february-8-2023\",\n",
    "    \"https://www.understandingwar.org/backgrounder/russian-offensive-campaign-assessment-february-9-2023\"\n",
    "]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "00f46fda",
   "metadata": {},
   "outputs": [],
   "source": [
    "loader = UnstructuredURLLoader(urls=urls)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b68a26b3",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = loader.load()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.8.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}