Airtable
! pip install pyairtable
from langchain.document_loaders import AirtableLoader
api_key = "xxx"
base_id = "xxx"
table_id = "xxx"
loader = AirtableLoader(api_key, table_id, base_id)
docs = loader.load()
Returns each table row as dict.
len(docs)
3
eval(docs[0].page_content)
{'id': 'recF3GbGZCuh9sXIQ',
 'createdTime': '2023-06-09T04:47:21.000Z',
 'fields': {'Priority': 'High',
  'Status': 'In progress',
  'Name': 'Document Splitters'}}