langchain/docs/extras/modules/data_connection/document_loaders/integrations/stripe.ipynb

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    "# Stripe\n",
    "\n",
    ">[Stripe](https://stripe.com/en-ca) is an Irish-American financial services and software as a service (SaaS) company. It offers payment-processing software and application programming interfaces for e-commerce websites and mobile applications.\n",
    "\n",
    "This notebook covers how to load data from the `Stripe REST API` into a format that can be ingested into LangChain, along with example usage for vectorization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "\n",
    "from langchain.document_loaders import StripeLoader\n",
    "from langchain.indexes import VectorstoreIndexCreator"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Stripe API requires an access token, which can be found inside of the Stripe dashboard.\n",
    "\n",
    "This document loader also requires a `resource` option which defines what data you want to load.\n",
    "\n",
    "Following resources are available:\n",
    "\n",
    "`balance_transations` [Documentation](https://stripe.com/docs/api/balance_transactions/list)\n",
    "\n",
    "`charges` [Documentation](https://stripe.com/docs/api/charges/list)\n",
    "\n",
    "`customers` [Documentation](https://stripe.com/docs/api/customers/list)\n",
    "\n",
    "`events` [Documentation](https://stripe.com/docs/api/events/list)\n",
    "\n",
    "`refunds` [Documentation](https://stripe.com/docs/api/refunds/list)\n",
    "\n",
    "`disputes` [Documentation](https://stripe.com/docs/api/disputes/list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "stripe_loader = StripeLoader(\"charges\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a vectorstore retriever from the loader\n",
    "# see https://python.langchain.com/en/latest/modules/data_connection/getting_started.html for more details\n",
    "\n",
    "index = VectorstoreIndexCreator().from_loaders([stripe_loader])\n",
    "stripe_doc_retriever = index.vectorstore.as_retriever()"
   ]
  }
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