airtable-python-wrapper
Python API Wrapper for the Airtable API
Decision gist · record as of 2026-08-14
Yes, if you need to interact with Airtable from Python and don't mind the 1844-day gap since the last release. The library is stable, has low install friction, and handles common CRUD operations cleanly. Check that it still works with your Airtable API version before relying on it in production; consider forking or seeking an actively maintained alternative if you need ongoing support.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a valid Airtable API key and base ID to authenticate and access tables.
- Low install friction; depends only on requests.
- Actively maintained with recent commits; last release was 1844 days ago but repo remains active.
License · maintenance · safety
The MIT License (MIT) (permissive) — MIT license permits free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
last release 2021-07-27 (1844 days) · last repo commit 2026-07-28 · 892 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 334,009 downloads/mo, #7,496 on PyPI
Alternatives
Verify before relying
pip install airtable-python-wrapper
from airtable import Airtable
airtable = Airtable('base_id', 'table_name')
airtable.get_all(view='MyView', maxRecords=20)
airtable.insert({'Name': 'Brian'})
airtable.search('Name', 'Tom')- Current compatibility with modern Airtable API versions and any breaking changes since 2021 release
- Whether batch operations scale well for large record sets
- Active maintenance status given 1844 days since last release despite recent commits
What it is and what it does
airtable-python-wrapper is a Python client library that abstracts away the HTTP details of talking to Airtable's REST API. It lets you perform standard database operations—fetching all records or specific ones, inserting new rows, searching by field value, updating records by criteria, and deleting records—without writing raw HTTP requests. The wrapper handles URL encoding, formula escaping, and error reporting, and supports filtering, sorting, and typecast options on most operations.
The library is straightforward to use: you instantiate an Airtable object with your base ID and table name, then call methods like get_all(), insert(), search(), update_by_field(), and delete_by_field(). It depends only on requests, making it lightweight to install. The package is in Beta status and supports Python 3.5 through 3.8, though the last release was in mid-2021 and the repo has not been updated since.
Use it for
- Sync data between Airtable and a Python application or ETL pipeline
- Automate record creation, updates, or deletions in Airtable bases from scripts or scheduled tasks
- Query and filter Airtable records programmatically without manual API calls
- Build a Python backend that reads from or writes to Airtable as a lightweight database
- Search for records by field value and perform bulk updates on matching rows
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need to interact with Airtable from Python and don't mind the 1844-day gap since the last release.
The library is stable, has low install friction, and handles common CRUD operations cleanly. Check that it still works with your Airtable API version before relying on it in production; consider forking or seeking an actively maintained alternative if you need ongoing support.
Install
airtable-python-wrapper on PyPI
Before you install
Low install friction; depends only on requests. Actively maintained with recent commits; last release was 1844 days ago but repo remains active.
Requires a valid Airtable API key and base ID to authenticate and access tables.
License in practice
MIT license permits free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects.
Quickstart
pip install airtable-python-wrapper
from airtable import Airtable
airtable = Airtable('base_id', 'table_name')
airtable.get_all(view='MyView', maxRecords=20)
airtable.insert({'Name': 'Brian'})
airtable.search('Name', 'Tom')Verify before relying
- Current compatibility with modern Airtable API versions and any breaking changes since 2021 release
- Whether batch operations scale well for large record sets
- Active maintenance status given 1844 days since last release despite recent commits
Package facts
| License | The MIT License (MIT) permissive |
| Python support | Supports the current Python release !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.* |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagerequests |
| Maintenance | Actively maintained 1,844 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 334,009 / month, #7,496 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaEnvironment :: ConsoleIntended Audience :: DevelopersProgramming Language :: PythonProgramming Language :: Python :: 3.5Programming Language :: Python :: 3.6Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: Implementation :: CPythonTopic :: Software Development |
Evidence: airtable_python_wrapper-0.15.3-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 database wrapper”
- airtable-python-wrapperWraps the Airtable API to let you read, insert, search, update, and…
- airtableProvides a Python wrapper around Airtable's REST API, letting you…
- pyairtablePython client library for interacting with the Airtable API, enabling…
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 · pyairtable · nocodb-simple-client · pgdb · slumber · WooCommerce · rockset · sqlalchemy-filters · pysnow · py-consul