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dlt-source-airtable

PyPI version

DLT source for airtable.

Currently loads the following data:

Table Contains
users Items of the users model that are users
service_accounts Items of the users model that are service accounts

Why are you not using the dlt-hub/verified-sources airtable source / Differences

The official verified source has a few drawbacks:

  • on usage of the verified source, a copy of the current state of the dlt-hub/verified-sources repository is copied into your project; Once you make changes to it, it effectively becomes a fork, making it hard to update after the fact.
  • This makes use of a preexisting client implementation which uses Pydantic models

Usage

Create a .dlt/secrets.toml with your API token:

airtable_token = "pat..."

You can create this token here or as a Service Admin Account (preferred).

The scopes needed are as follows:

  • enterprise.user:read
  • enterprise.account:read

and then run the default source with optional list references:

from dlt_source_airtable import source as airtable_source

pipeline = dlt.pipeline(
   pipeline_name="airtable_pipeline",
   destination="duckdb",
   dev_mode=True,
)
enterprise_id = "ent..."
airtable_data = airtable_source(enterprise_id)
pipeline.run(airtable_data)

How to get your enterprise ID

Navigate to your admin view and you will see

Account ID: ent...

in the sidebar and/or URL bar of your browser.

Development

This project is using devenv.

Commands:

Command What does it do?
format Formats & lints all code
sample-pipeline-run Runs the sample pipeline.
sample-pipeline-show Starts the streamlit-based dlt hub

Run the sample

AIRTABLE_TOKEN=[pat...] \
  sample-pipeline-run

alternatively you can also create a .dlt/secrets.toml (excluded from git) with the following content:

airtable_token = "pat..."

Metadata

Release files for dlt-source-airtable 0.0.1

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Source distribution for dlt-source-airtable 0.0.1
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