Harrison/apify #2215
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Harrison/apify #2215
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Adds an integration with the [Apify](https://apify.com/) platform. Apify is a web scraping and data extraction platform. You can use it to get content from documentation, knowledge bases, help centers, or blogs. Apify welcomes all developers, they can sign up for a free account [here](https://console.apify.com/sign-up). ## Usage ```python import os from langchain.document_loaders.base import Document from langchain.indexes import VectorstoreIndexCreator from langchain.utilities import ApifyWrapper os.environ["OPENAI_API_KEY"] = "Your OpenAI API key" os.environ["APIFY_API_TOKEN"] = "Your Apify API token" apify = ApifyWrapper() loader = apify.call_actor( actor_id="apify/website-content-crawler", run_input={"startUrls": [{"url": "https://python.langchain.com/en/latest/"}]}, dataset_mapping_function=lambda item: Document( page_content=item["text"] or "", metadata={"source": item["url"]} ), ) index = VectorstoreIndexCreator().from_loaders([loader]) query = "What is LangChain?" result = index.query_with_sources(query) print(result["answer"]) print(result["sources"]) ``` ### Output ``` LangChain is a standard interface through which you can interact with a variety of large language models (LLMs). It provides modules that can be used to build language model applications, and it also provides chains and agents with memory capabilities. https://python.langchain.com/en/latest/modules/models/llms.html, https://python.langchain.com/en/latest/getting_started/getting_started.html ``` This PR includes all the required code with docstrings, and documentation with examples. If you have any suggestions how to improve this PR, feel free to comment here.
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