langchain/docs/extras/integrations/document_loaders/async_chromium.ipynb

102 lines
2.9 KiB
Plaintext
Raw Normal View History

{
"cells": [
{
"cell_type": "markdown",
"id": "ad553e51",
"metadata": {},
"source": [
"# Async Chromium\n",
"\n",
"Chromium is one of the browsers supported by Playwright, a library used to control browser automation. \n",
"\n",
"By running `p.chromium.launch(headless=True)`, we are launching a headless instance of Chromium. \n",
"\n",
"Headless mode means that the browser is running without a graphical user interface.\n",
"\n",
"`AsyncChromiumLoader` load the page, and then we use `Html2TextTransformer` to trasnform to text."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1c3a4c19",
"metadata": {},
"outputs": [],
"source": [
"! pip install -q playwright beautifulsoup4\n",
"! playwright install"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "dd2cdea7",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'<!DOCTYPE html><html lang=\"en\"><head><script src=\"https://s0.2mdn.net/instream/video/client.js\" asyn'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from langchain.document_loaders import AsyncChromiumLoader\n",
"urls = [\"https://www.wsj.com\"]\n",
"loader = AsyncChromiumLoader(urls)\n",
"docs = loader.load()\n",
"docs[0].page_content[0:100]"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "013caa7e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"\"Skip to Main ContentSkip to SearchSkip to... Select * Top News * What's News *\\nFeatured Stories * Retirement * Life & Arts * Hip-Hop * Sports * Video *\\nEconomy * Real Estate * Sports * CMO * CIO * CFO * Risk & Compliance *\\nLogistics Report * Sustainable Business * Heard on the Street * Barrons *\\nMarketWatch * Mansion Global * Penta * Opinion * Journal Reports * Sponsored\\nOffers Explore Our Brands * WSJ * * * * * Barron's * * * * * MarketWatch * * *\\n* * IBD # The Wall Street Journal SubscribeSig\""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from langchain.document_transformers import Html2TextTransformer\n",
"html2text = Html2TextTransformer()\n",
"docs_transformed = html2text.transform_documents(docs)\n",
"docs_transformed[0].page_content[0:500]"
]
}
],
"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": "3.9.16"
}
},
"nbformat": 4,
"nbformat_minor": 5
}