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Browserless는 클라우드에서 헤드리스 Chrome 인스턴스를 실행할 수 있는 서비스입니다. 자체 인프라를 관리할 필요 없이 대규모로 브라우저 기반 자동화를 실행할 수 있는 좋은 방법입니다. Browserless를 Document Loader로 사용하려면 이 노트북에 표시된 대로 BrowserlessLoader 인스턴스를 초기화합니다. 기본적으로 BrowserlessLoader는 페이지의 body 요소의 innerText를 반환합니다. 이를 비활성화하고 원시 HTML을 가져오려면 text_content를 False로 설정합니다. 
from langchain_community.document_loaders import BrowserlessLoader

BROWSERLESS_API_TOKEN = "YOUR_BROWSERLESS_API_TOKEN"

loader = BrowserlessLoader(
    api_token=BROWSERLESS_API_TOKEN,
    urls=[
        "https://en.wikipedia.org/wiki/Document_classification",
    ],
    text_content=True,
)

documents = loader.load()

print(documents[0].page_content[:1000])

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Document classification
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From Wikipedia, the free encyclopedia

Document classification or document categorization is a problem in library science, information science and computer science. The task is to assign a document to one or more classes or categories. This may be done "manually" (or "intellectually") or algorithmically. The intellectual classification of documents has mostly been the province of library science, while the algorithmic classification of documents is mainly in information science and computer science. The problems are overlapping, however, and there is therefore interdisciplinary research on document classification.

The documents to be classified may be texts, images, music, etc. Each kind of document possesses its special classification problems. When not otherwise specified, text classification is implied.

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