Airtable Records | Integrations | AutoGPT

Airtable Create Records

What it is

Create records in an Airtable table

How it works

This block creates new records in an Airtable table using the Airtable API. Each record is specified with a fields object containing field names and values. You can create up to 10 records in a single call.

Enable typecast to automatically convert string values to appropriate field types (dates, numbers, etc.). The block returns the created records with their assigned IDs.

Inputs

Input	Description	Type	Required
base_id	The Airtable base ID	str	Yes
table_id_or_name	Table ID or name	str	Yes
records	Array of records to create (each with 'fields' object)	List[Dict[str, Any]]	Yes
skip_normalization	Skip output normalization to get raw Airtable response	bool	No
typecast	Automatically convert string values to appropriate types	bool	No
return_fields_by_field_id	Return fields by field ID	bool	No

Outputs

Output	Description	Type
error	Error message if the operation failed	str
records	Array of created record objects	List[Dict[str, Any]]
details	Details of the created records	Dict[str, Any]

Possible use case

Data Import: Bulk import data from external sources into Airtable tables.
Form Submissions: Create records from form submissions or API integrations.
Workflow Output: Save workflow results or processed data to Airtable for tracking.

Airtable Delete Records

What it is

Delete records from an Airtable table

How it works

This block deletes records from an Airtable table by their record IDs. You can delete up to 10 records in a single call. The operation is permanent and cannot be undone.

Provide an array of record IDs to delete. Using the table ID instead of the name is recommended for reliability.

Inputs

Input	Description	Type	Required
base_id	The Airtable base ID	str	Yes
table_id_or_name	Table ID or name - It's better to use the table ID	str	Yes
record_ids	Array of upto 10 record IDs to delete	List[str]	Yes

Outputs

Output	Description	Type
error	Error message if the operation failed	str
records	Array of deletion results	List[Dict[str, Any]]

Possible use case

Data Cleanup: Remove outdated or duplicate records from tables.
Workflow Cleanup: Delete temporary records after processing is complete.
Batch Removal: Remove multiple records that match certain criteria.

Airtable Get Record

What it is

Get a single record from Airtable

How it works

This block retrieves a single record from an Airtable table by its ID. The record includes all field values and metadata like creation time. Enable normalize_output to ensure all fields are included with proper empty values.

Optionally include field metadata for type information and configuration details about each field.

Inputs

Input	Description	Type	Required
base_id	The Airtable base ID	str	Yes
table_id_or_name	Table ID or name	str	Yes
record_id	The record ID to retrieve	str	Yes
normalize_output	Normalize output to include all fields with proper empty values	bool	No
include_field_metadata	Include field type and configuration metadata	bool	No

Outputs

Output	Description	Type
error	Error message if the operation failed	str
id	The record ID	str
fields	The record fields	Dict[str, Any]
created_time	The record created time	str
field_metadata	Field type and configuration metadata	Dict[str, Any]

Possible use case

Detail View: Fetch complete record data for display or detailed processing.
Record Lookup: Retrieve specific records by ID from webhook payloads or references.
Data Validation: Check record contents before performing updates or related operations.

Airtable List Records

What it is

List records from an Airtable table

How it works

This block queries records from an Airtable table with optional filtering, sorting, and pagination. Use Airtable formulas to filter records and specify sort order by field and direction.

Results can be limited, paginated with offsets, and restricted to specific fields. Enable normalize_output for consistent field values across records.

Inputs

Input	Description	Type	Required
base_id	The Airtable base ID	str	Yes
table_id_or_name	Table ID or name	str	Yes
filter_formula	Airtable formula to filter records	str	No
view	View ID or name to use	str	No
sort	Sort configuration (array of {field, direction})	List[Dict[str, Any]]	No
max_records	Maximum number of records to return	int	No
page_size	Number of records per page (max 100)	int	No
offset	Pagination offset from previous request	str	No
return_fields	Specific fields to return (comma-separated)	List[str]	No
normalize_output	Normalize output to include all fields with proper empty values	bool	No
include_field_metadata	Include field type and configuration metadata	bool	No

Outputs

Output	Description	Type
error	Error message if the operation failed	str
records	Array of record objects	List[Dict[str, Any]]
offset	Offset for next page (null if no more records)	str
field_metadata	Field type and configuration metadata	Dict[str, Any]

Possible use case

Report Generation: Query records with filters to build reports or dashboards.
Data Export: Fetch records matching criteria for export to other systems.
Batch Processing: List records to process in subsequent workflow steps.

Airtable Update Records

What it is

Update records in an Airtable table

How it works

This block updates existing records in an Airtable table. Each record update requires the record ID and a fields object with the values to update. Only specified fields are modified; other fields remain unchanged.

Enable typecast to automatically convert string values to appropriate types. You can update up to 10 records per call.

Inputs

Input	Description	Type	Required
base_id	The Airtable base ID	str	Yes
table_id_or_name	Table ID or name - It's better to use the table ID	str	Yes
records	Array of records to update (each with 'id' and 'fields')	List[Dict[str, Any]]	Yes
typecast	Automatically convert string values to appropriate types	bool	No

Outputs

Output	Description	Type
error	Error message if the operation failed	str
records	Array of updated record objects	List[Dict[str, Any]]

Possible use case

Status Updates: Update record status fields as workflows progress.
Data Enrichment: Add computed or fetched data to existing records.
Batch Modifications: Update multiple records based on processed results.