Airtable (apify/airtable)

Under maintenance

Pricing

Pay per usage

Try for free

Go to Apify Store

Airtable (apify/airtable)

Under maintenance

Try for free

Imports any Apify dataset into Airtable with append, override, or create modes. Supports custom field mapping, automatic column creation, duplicate detection, batching, retries, and OAuth. Works standalone or as an Actor-to-Actor integration.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Apify

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

18 hours ago

Last modified

Categories

Automation

Integrations

Airtable

oAuthAccount.BpW1howJtlI9fdEck

Required

Connect your Airtable using OAuth2.

Type:string

Import operation

operation

Required

How to handle records in the target Airtable table before importing. 'Append' keeps existing records and adds new ones. 'Override' deletes all existing records first, then imports. 'Create' will create the table if it does not exist, otherwise it behaves like 'Append'.

Type:string

Default:Append

Options:

AppendOverrideCreate

Clear existing data when table exists (create mode only)

clearOnCreate

Optional

Only applies when operation is 'Create'. If true and the table already exists, all existing records will be deleted before importing (similar to 'Override' mode). If false and the table already exists, an error will be thrown. If the table does not exist, it will be created regardless of this setting.

Type:boolean

Default:false

Airtable base name or ID

base

Required

The ID or name of the Airtable base where data will be imported (for example: appXXXXXXXXXXXXXX).

Type:string

Airtable table name

table

Required

Name of the Airtable table to import into. If operation is 'Create' and this table does not exist, the Actor will try to create it (if Airtable permissions and APIs allow).

Type:string

Dataset

datasetId

Required

Select a dataset

Type:string

Unique ID source field (optional)

uniqueId

Optional

Source field (using dot notation, e.g. 'url' or 'metadata.headers.age') used to detect duplicates. If provided, the Actor reads the mapped target field in Airtable and skips records whose ID already exists there.

Type:string

Field mappings

dataMappings

Required

List of mappings from Apify dataset fields (source) to Airtable fields (target). 'source' uses dot notation (e.g. 'metadata.headers.age'), 'target' is the Airtable field name. 'targetType' is 'existing' or 'new'. 'fieldType' describes the Airtable field type (e.g. 'singleLineText', 'multilineText', 'number').

Type:object[]

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jupri/airtable

💫 Export Dataset to Airtable

cat

170

1.1

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