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