langchain/docs/modules/document_loaders/examples/url.ipynb

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{
"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
}