Airtable Records
Blocks for creating, reading, updating, and deleting records in Airtable tables.
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
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 (faster but may have missing fields)
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
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
base_id
The Airtable base ID
str
Yes
table_id_or_name
Table ID or name - It's better to use the table ID instead of the name
str
Yes
record_ids
Array of upto 10 record IDs to delete
List[str]
Yes
Outputs
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Data Cleanup: Remove outdated or duplicate records from tables.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
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 (disable to skip schema fetch and get raw Airtable response)
bool
No
include_field_metadata
Include field type and configuration metadata (requires normalize_output=true)
bool
No
Outputs
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 (only when include_field_metadata=true)
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
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 (disable to skip schema fetch and get raw Airtable response)
bool
No
include_field_metadata
Include field type and configuration metadata (requires normalize_output=true)
bool
No
Outputs
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 (only when include_field_metadata=true)
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
base_id
The Airtable base ID
str
Yes
table_id_or_name
Table ID or name - It's better to use the table ID instead of the name
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
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.
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