langchain/docs/extras/integrations/document_loaders/airtable.ipynb

Airtable

In [ ]:

! pip install pyairtable

In [7]:

from langchain.document_loaders import AirtableLoader

• Get your API key here.
• Get ID of your base here.
• Get your table ID from the table url as shown here.

In [ ]:

api_key = "xxx"
base_id = "xxx"
table_id = "xxx"

In [9]:

loader = AirtableLoader(api_key, table_id, base_id)
docs = loader.load()

Returns each table row as dict.

In [10]:

len(docs)

Out [10]:

3

In [11]:

eval(docs[0].page_content)

Out [11]:

{'id': 'recF3GbGZCuh9sXIQ',
 'createdTime': '2023-06-09T04:47:21.000Z',
 'fields': {'Priority': 'High',
  'Status': 'In progress',
  'Name': 'Document Splitters'}}