Facebook Chat
Messenger is an American proprietary instant messaging app and platform developed by
Meta Platforms
. Originally developed asFacebook Chat
in 2008, the company revamped its messaging service in 2010.
This notebook covers how to load data from the Facebook Chats into a format that can be ingested into LangChain.
# pip install pandas
from langchain_community.document_loaders import FacebookChatLoader
API Reference:FacebookChatLoader
loader = FacebookChatLoader("example_data/facebook_chat.json")
loader.load()
[Document(page_content='User 2 on 2023-02-05 03:46:11: Bye!\n\nUser 1 on 2023-02-05 03:43:55: Oh no worries! Bye\n\nUser 2 on 2023-02-05 03:24:37: No Im sorry it was my mistake, the blue one is not for sale\n\nUser 1 on 2023-02-05 03:05:40: I thought you were selling the blue one!\n\nUser 1 on 2023-02-05 03:05:09: Im not interested in this bag. Im interested in the blue one!\n\nUser 2 on 2023-02-05 03:04:28: Here is $129\n\nUser 2 on 2023-02-05 03:04:05: Online is at least $100\n\nUser 1 on 2023-02-05 02:59:59: How much do you want?\n\nUser 2 on 2023-02-04 22:17:56: Goodmorning! $50 is too low.\n\nUser 1 on 2023-02-04 14:17:02: Hi! Im interested in your bag. Im offering $50. Let me know if you are interested. Thanks!\n\n', metadata={'source': 'example_data/facebook_chat.json'})]
Related
- Document loader conceptual guide
- Document loader how-to guides