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'}}