langchain_community.document_loaders.imsdb
.IMSDbLoader¶
- class langchain_community.document_loaders.imsdb.IMSDbLoader(web_path: Union[str, Sequence[str]] = '', header_template: Optional[dict] = None, verify_ssl: bool = True, proxies: Optional[dict] = None, continue_on_failure: bool = False, autoset_encoding: bool = True, encoding: Optional[str] = None, web_paths: Sequence[str] = (), requests_per_second: int = 2, default_parser: str = 'html.parser', requests_kwargs: Optional[Dict[str, Any]] = None, raise_for_status: bool = False, bs_get_text_kwargs: Optional[Dict[str, Any]] = None, bs_kwargs: Optional[Dict[str, Any]] = None, session: Any = None)[source]¶
Load IMSDb webpages.
Initialize loader.
- Parameters
web_paths – Web paths to load from.
requests_per_second – Max number of concurrent requests to make.
default_parser – Default parser to use for BeautifulSoup.
requests_kwargs – kwargs for requests
raise_for_status – Raise an exception if http status code denotes an error.
bs_get_text_kwargs – kwargs for beatifulsoup4 get_text
bs_kwargs – kwargs for beatifulsoup4 web page parsing
Attributes
web_path
Methods
__init__
([web_path, header_template, ...])Initialize loader.
aload
()Load text from the urls in web_path async into Documents.
fetch_all
(urls)Fetch all urls concurrently with rate limiting.
Lazy load text from the url(s) in web_path.
load
()Load webpage.
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.
- __init__(web_path: Union[str, Sequence[str]] = '', header_template: Optional[dict] = None, verify_ssl: bool = True, proxies: Optional[dict] = None, continue_on_failure: bool = False, autoset_encoding: bool = True, encoding: Optional[str] = None, web_paths: Sequence[str] = (), requests_per_second: int = 2, default_parser: str = 'html.parser', requests_kwargs: Optional[Dict[str, Any]] = None, raise_for_status: bool = False, bs_get_text_kwargs: Optional[Dict[str, Any]] = None, bs_kwargs: Optional[Dict[str, Any]] = None, session: Any = None) None ¶
Initialize loader.
- Parameters
web_paths – Web paths to load from.
requests_per_second – Max number of concurrent requests to make.
default_parser – Default parser to use for BeautifulSoup.
requests_kwargs – kwargs for requests
raise_for_status – Raise an exception if http status code denotes an error.
bs_get_text_kwargs – kwargs for beatifulsoup4 get_text
bs_kwargs – kwargs for beatifulsoup4 web page parsing
- async fetch_all(urls: List[str]) Any ¶
Fetch all urls concurrently with rate limiting.
- 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.