langchain.document_loaders.gitbook.GitbookLoader¶

class langchain.document_loaders.gitbook.GitbookLoader(web_page: str, load_all_paths: bool = False, base_url: Optional[str] = None, content_selector: str = 'main')[source]¶

Bases: WebBaseLoader

Load GitBook data.

  1. load from either a single page, or

  2. load all (relative) paths in the navbar.

Initialize with web page and whether to load all paths.

Parameters
  • web_page – The web page to load or the starting point from where relative paths are discovered.

  • load_all_paths – If set to True, all relative paths in the navbar are loaded instead of only web_page.

  • base_url – If load_all_paths is True, the relative paths are appended to this base url. Defaults to web_page.

  • content_selector – The CSS selector for the content to load. Defaults to “main”.

Methods

__init__(web_page[, load_all_paths, ...])

Initialize with web page and whether to load all paths.

aload()

Load text from the urls in web_path async into Documents.

fetch_all(urls)

Fetch all urls concurrently with rate limiting.

lazy_load()

Lazy load text from the url(s) in web_path.

load()

Fetch text from one single GitBook page.

load_and_split([text_splitter])

Load Documents and split into chunks.

scrape([parser])

Scrape data from webpage and return it in BeautifulSoup format.

scrape_all(urls[, parser])

Fetch all urls, then return soups for all results.

Attributes

bs_get_text_kwargs

kwargs for beatifulsoup4 get_text

default_parser

Default parser to use for BeautifulSoup.

raise_for_status

Raise an exception if http status code denotes an error.

requests_kwargs

kwargs for requests

requests_per_second

Max number of concurrent requests to make.

web_path

aload() List[Document]¶

Load text from the urls in web_path async into Documents.

async fetch_all(urls: List[str]) Any¶

Fetch all urls concurrently with rate limiting.

lazy_load() Iterator[Document]¶

Lazy load text from the url(s) in web_path.

load() List[Document][source]¶

Fetch text from one single GitBook page.

load_and_split(text_splitter: Optional[TextSplitter] = None) List[Document]¶

Load Documents and split into chunks. Chunks are returned as Documents.

Parameters

text_splitter – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.

Returns

List of Documents.

scrape(parser: Optional[str] = None) Any¶

Scrape data from webpage and return it in BeautifulSoup format.

scrape_all(urls: List[str], parser: Optional[str] = None) List[Any]¶

Fetch all urls, then return soups for all results.

bs_get_text_kwargs: Dict[str, Any] = {}¶

kwargs for beatifulsoup4 get_text

default_parser: str = 'html.parser'¶

Default parser to use for BeautifulSoup.

raise_for_status: bool = False¶

Raise an exception if http status code denotes an error.

requests_kwargs: Dict[str, Any] = {}¶

kwargs for requests

requests_per_second: int = 2¶

Max number of concurrent requests to make.

property web_path: str¶
web_paths: List[str]¶

Examples using GitbookLoader¶