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---
title: Browserless
---
Browserless는 클라우드에서 headless Chrome 인스턴스를 실행할 수 있게 해주는 서비스입니다. 자체 인프라를 관리할 필요 없이 브라우저 기반 자동화를 대규모로 실행할 수 있는 훌륭한 방법입니다.
Browserless를 document loader로 사용하려면, 이 노트북에 표시된 대로 `BrowserlessLoader` 인스턴스를 초기화하세요. 기본적으로 `BrowserlessLoader`는 페이지의 `body` 요소의 `innerText`를 반환합니다. 이를 비활성화하고 원시 HTML을 가져오려면 `text_content`를 `False`로 설정하세요.
```python
from langchain_community.document_loaders import BrowserlessLoader
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BROWSERLESS_API_TOKEN = "YOUR_BROWSERLESS_API_TOKEN"
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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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[Edit the source of this page on GitHub.](https://github.com/langchain-ai/docs/edit/main/src/oss/python/integrations/document_loaders/browserless.mdx)
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