# RSpaceLoader

> **Class** in `langchain_community`

📖 [View in docs](https://reference.langchain.com/python/langchain-community/document_loaders/rspace/RSpaceLoader)

Load content from RSpace notebooks, folders, documents or PDF Gallery files.

Map RSpace document <-> Langchain Document in 1-1. PDFs are imported using PyPDF.

Requirements are rspace_client (`pip install rspace_client`) and PyPDF if importing
 PDF docs (`pip install pypdf`).

## Signature

```python
RSpaceLoader(
    self,
    global_id: str,
    api_key: Optional[str] = None,
    url: Optional[str] = None,
)
```

## Extends

- `BaseLoader`

## Constructors

```python
__init__(
    self,
    global_id: str,
    api_key: Optional[str] = None,
    url: Optional[str] = None,
)
```

| Name | Type |
|------|------|
| `global_id` | `str` |
| `api_key` | `Optional[str]` |
| `url` | `Optional[str]` |


## Properties

- `api_key`
- `url`
- `global_id`

## Methods

- [`validate_environment()`](https://reference.langchain.com/python/langchain-community/document_loaders/rspace/RSpaceLoader/validate_environment)
- [`lazy_load()`](https://reference.langchain.com/python/langchain-community/document_loaders/rspace/RSpaceLoader/lazy_load)

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[View source on GitHub](https://github.com/langchain-ai/langchain-community/blob/a6a6079511ac8a5c1293337f88096b8641562e77/libs/community/langchain_community/document_loaders/rspace.py#L11)