Skip to main content

Python client library for AirTable

Project description

Python interface to the Airtable’s REST API - https://airtable.com - Build Status

For javascript enthusiasts: https://github.com/Airtable/airtable.js

Installation

Airtable Python uses Requests.py: make sure you have it installed by running

$ pip install requests

Getting started

Once you have created a new base and a new table through the Web interface, you’re ready to start using Airtable Python.

from airtable import airtable
at = airtable.Airtable('BASE_ID', 'API_KEY')
at.get('TABLE_NAME')

Here’s an example of response from the Restaurant’s example base

{u'records': [
  {u'fields': {u'Diet': u'Kosher or Halal',
    u'Friendly Restaurants': [u'recr0ITqq9C1I92FL', u'recGeAJLw0ZkbwdXZ'],
    u'Icon': [{u'filename': u'no-pig.jpg',
      u'id': u'attzKGOBbjndOx0FU',
      u'size': 34006,
      u'thumbnails': {u'large': {u'height': 202,
        u'url': u'https://dl.airtable.com/trmtq3BaRoa0sWnyffWZ_large_no-pig.jpg',
        u'width': 256},
       u'small': {u'height': 36,
        u'url': u'https://dl.airtable.com/yzuRv5CyRs2PVH4fDvCe_small_no-pig.jpg',
        u'width': 46}},
      u'type': u'image/jpeg',
      u'url': u'https://dl.airtable.com/DyGOjAASze6AIkQxFpDv_no-pig.jpg'}],
    u'People': [u'Annie', u'Maryam']},
   u'id': u'rec5sD6mBBd0SaXof'},
   ...

API Reference

The available methods closely mimick the REST API:

Get

Given a table name, fetched one or multiple records.

at.get(table_name, table_name, record_id=None, limit=0, offset=None,
       filter_by_formula=None, view=None, max_records=0, fields=[])

where

table_name (required) is a string representing the table name
record_id (optional) is a string, which fetches a specific item by id. If not specified, all items are fetched
limit (optional) is an integer, and it can only be specified if record_id is not present, and limits the number of items fetched (see pageSize in the AirTable documentation)
offset is a string representing the record id from which we start the offset
filter_by_formula (optional) is a string to filter the retrieving records (see filterByFormula in the AirTable documentation)
max_records (optional) is the total number of records that will be returned (see maxRecords in the AirTable documentation)
fields (optional) is a list of strings with the field names to be returned

Iterate

Given a table name, fetched all records.

at.iterate(table_name, table_name, limit=0, offset=None,
       filter_by_formula=None, view=None, max_records=0, fields=[])

where

table_name (required) is a string representing the table name
limit (optional) is an integer, and it can only be specified if record_id is not present, and limits the number of items fetched (see pageSize in the AirTable documentation)
offset is a string representing the record id from which we start the offset
filter_by_formula (optional) is a string to filter the retrieving records (see filterByFormula in the AirTable documentation)
max_records (optional) is the total number of records that will be returned (see maxRecords in the AirTable documentation)
fields (optional) is a list of strings with the field names to be returned

Note: this returns a generator instead, which you can use to loop each record:

# example with similar results of at.get
result = { "records": [] }
for r in self.at.iterate(self.table, fields=fields):
    result["records"].append(r)

Create

Creates a new entry in a table, and returns the newly created entry with its new ID.

at.create(table_name, data)

where

table_name (required) is a string representing the table name
data (required) is a dictionary containing the fields and the resepective values

Update

Updates some fields in a specific entry in the table. Fields which are not explicitely included will not get updated

at.update(table_name, record_id, data)

where

table_name (required) is a string representing the table name
record_id (required) is a string representing the item to update
data (required) is a dictionary containing the fields (and the resepective values) to be updated

Update All

Like the previous method, but updates all fields, clearing the ones that are not included in the request.

at.update_all(table_name, record_id, data)

Delete

Delete a specific record from the table

at.delete(table_name, record_id)

where

table_name (required) is a string representing the table name
record_id (required) is a string representing the item to update

Release

To release, tag the Git repo with a new version number, push that tag to GitHub then Travis CI will do the rest.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

airtable-0.4.8.tar.gz (13.0 kB view details)

Uploaded Source

Built Distribution

airtable-0.4.8-py2.py3-none-any.whl (8.1 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file airtable-0.4.8.tar.gz.

File metadata

  • Download URL: airtable-0.4.8.tar.gz
  • Upload date:
  • Size: 13.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5

File hashes

Hashes for airtable-0.4.8.tar.gz
Algorithm Hash digest
SHA256 fb667e55da3af1341e0f2946014cc29e7d0613e69f3ee20528051c4075aee75c
MD5 61ae59bd2af5e8ef57aaa88d2793c52e
BLAKE2b-256 6ce6da9c7438fbb4100eb915fca9c431df5c60614a1debf5da899c9d2d7adb68

See more details on using hashes here.

File details

Details for the file airtable-0.4.8-py2.py3-none-any.whl.

File metadata

  • Download URL: airtable-0.4.8-py2.py3-none-any.whl
  • Upload date:
  • Size: 8.1 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.9.1 tqdm/4.56.0 CPython/3.8.5

File hashes

Hashes for airtable-0.4.8-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 d653e1b3b92297e3f0cc4226215d43d7fa99c72f38918e9371e445abf0baa70c
MD5 05e77d076ea5add5531f3f55395a5a4d
BLAKE2b-256 ec2be5885493796ae222eac6d15ffab093cce8fe63bf10ee920ac205fa65e279

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page