langchain_community.document_loaders.reddit
.RedditPostsLoaderΒΆ
- class langchain_community.document_loaders.reddit.RedditPostsLoader(client_id: str, client_secret: str, user_agent: str, search_queries: Sequence[str], mode: str, categories: Sequence[str] = ['new'], number_posts: Optional[int] = 10)[source]ΒΆ
Load Reddit posts.
Read posts on a subreddit. First, you need to go to https://www.reddit.com/prefs/apps/ and create your application
- Initialize with client_id, client_secret, user_agent, search_queries, mode,
categories, number_posts.
Example: https://www.reddit.com/r/learnpython/
- Parameters
client_id β Reddit client id.
client_secret β Reddit client secret.
user_agent β Reddit user agent.
search_queries β The search queries.
mode β The mode.
categories β The categories. Default: [βnewβ]
number_posts β The number of posts. Default: 10
Methods
__init__
(client_id, client_secret, ...[, ...])Initialize with client_id, client_secret, user_agent, search_queries, mode,
A lazy loader for Documents.
load
()Load reddits.
load_and_split
([text_splitter])Load Documents and split into chunks.
- __init__(client_id: str, client_secret: str, user_agent: str, search_queries: Sequence[str], mode: str, categories: Sequence[str] = ['new'], number_posts: Optional[int] = 10)[source]ΒΆ
- Initialize with client_id, client_secret, user_agent, search_queries, mode,
categories, number_posts.
Example: https://www.reddit.com/r/learnpython/
- Parameters
client_id β Reddit client id.
client_secret β Reddit client secret.
user_agent β Reddit user agent.
search_queries β The search queries.
mode β The mode.
categories β The categories. Default: [βnewβ]
number_posts β The number of posts. Default: 10
- load_and_split(text_splitter: Optional[TextSplitter] = None) List[Document] ΒΆ
Load Documents and split into chunks. Chunks are returned as Documents.
- Parameters
text_splitter β TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.
- Returns
List of Documents.