langchain.document_loaders.rss.RSSFeedLoader¶
class langchain.document_loaders.rss.RSSFeedLoader(urls: Optional[Sequence[str]] = None, opml: Optional[str] = None, continue_on_failure: bool = True, show_progress_bar: bool = False, **newsloader_kwargs: Any)[source]¶
Load news articles from RSS feeds using Unstructured.
Parameters
urls – URLs for RSS feeds to load. Each articles in the feed is loaded into its own document.
opml – OPML file to load feed urls from. Only one of urls or opml should be provided.  The value
string (can be a URL) – 
string. (or OPML markup contents as byte or) – 
continue_on_failure – If True, continue loading documents even if
loading fails for a particular URL.
show_progress_bar – If True, use tqdm to show a loading progress bar. Requires
tqdm to be installed, pip install tqdm.
**newsloader_kwargs – Any additional named arguments to pass to
NewsURLLoader.
Example
from langchain.document_loaders import RSSFeedLoader
loader = RSSFeedLoader(
    urls=["<url-1>", "<url-2>"],
)
docs = loader.load()
The loader uses feedparser to parse RSS feeds.  The feedparser library is not installed by default so you should
install it if using this loader:
https://pythonhosted.org/feedparser/
If you use OPML, you should also install listparser:
https://pythonhosted.org/listparser/
Finally, newspaper is used to process each article:
https://newspaper.readthedocs.io/en/latest/
Initialize with urls or OPML.
Methods
__init__([urls, opml, continue_on_failure, ...])
Initialize with urls or OPML.
lazy_load()