pyairtable
Python Client for the Airtable API
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. It's well-positioned for anyone needing programmatic Airtable access in Python. Install it if you're automating Airtable workflows or integrating Airtable into a Python application.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- You must obtain an Airtable API token and know your base ID and table name to authenticate and access data.
- Low install friction with a pure-Python wheel distribution.
- Actively maintained with a recent release (19 days old) and steady repository activity; 892 stars indicate established community adoption.
License · maintenance · safety
MIT (permissive) — MIT license is permissive, allowing use in commercial and private projects with minimal restrictions beyond attribution.
last release 2026-07-26 (19 days) · last repo commit 2026-07-28 · 892 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 4,012,215 downloads/mo, #2,399 on PyPI
Alternatives
Verify before relying
pip install pyairtable
from pyairtable import Api
api = Api('your_api_token')
base = api.base('base_id')
table = base.table('table_name')
records = table.all()- Whether the library supports all current Airtable API endpoints or has known gaps in coverage.
- Performance characteristics when working with large Airtable bases or high-volume requests.
- Whether async/await support is available for concurrent operations.
What it is and what it does
pyairtable is a Python wrapper around the Airtable REST API that lets you read, write, and manage records in Airtable bases programmatically. It handles authentication, request formatting, and response parsing so you can work with Airtable data as Python objects rather than raw HTTP calls. The library depends on requests for HTTP communication, pydantic for data validation, inflection for field name transformation, and urllib3 for connection pooling.
The package is designed for developers who want to automate workflows involving Airtable—syncing data, bulk operations, or integrating Airtable into larger Python applications. It's actively maintained, supports modern Python versions (3.10 through 3.14), and requires no system dependencies beyond Python itself.
Use it for
- Automate bulk record creation or updates in Airtable bases from Python scripts or applications.
- Sync data between Airtable and external systems or databases as part of a data pipeline.
- Build internal tools or dashboards that read and display Airtable data programmatically.
- Integrate Airtable as a backend data store for Python web applications or services.
- Generate reports or exports from Airtable data using Python data processing libraries.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has low install friction, carries no known vulnerabilities, and is licensed permissively. It's well-positioned for anyone needing programmatic Airtable access in Python. Install it if you're automating Airtable workflows or integrating Airtable into a Python application.
Install
pyairtable on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Actively maintained with a recent release (19 days old) and steady repository activity; 892 stars indicate established community adoption.
You must obtain an Airtable API token and know your base ID and table name to authenticate and access data.
License in practice
MIT license is permissive, allowing use in commercial and private projects with minimal restrictions beyond attribution.
Quickstart
pip install pyairtable
from pyairtable import Api
api = Api('your_api_token')
base = api.base('base_id')
table = base.table('table_name')
records = table.all()Verify before relying
- Whether the library supports all current Airtable API endpoints or has known gaps in coverage.
- Performance characteristics when working with large Airtable bases or high-volume requests.
- Whether async/await support is available for concurrent operations.
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesinflectionpydanticrequeststyping_extensionsurllib3 |
| Maintenance | Actively maintained 19 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 4,012,215 / month, #2,399 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPythonTopic :: Software Development |
Evidence: pyairtable-3.4.2-py2.py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “airtable api python client”
- pyairtablePython client library for interacting with the Airtable API, enabling…
- airtableProvides a Python wrapper around Airtable's REST API, letting you…
- airtable-python-wrapperWraps the Airtable API to let you read, insert, search, update, and…
Give your agent the search over MCP, or paste the wish link into any chat.
More Software Development packages
Provides backported and experimental type hints for Python 3.9+, allowing use of newer typing features on older Python versions and enabling early experimentation with type system PEPs before they enter the standard library.
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Distlib provides low-level packaging utilities for building, distributing, and managing Python software—including metadata handling, version specifiers, wheel support, script installation, and dependency resolution.
See also airtable-python-wrapper · airtable · simile · keepa · rapidata · gidgethub · googleads · wagtail-modeladmin · quipclient · pyproject-api