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pip install -qU  pyairtable

from langchain_community.document_loaders import AirtableLoader

api_key = "xxx"
base_id = "xxx"
table_id = "xxx"
view = "xxx"  # optional

loader = AirtableLoader(api_key, table_id, base_id, view=view)
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'}}
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