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Introducing Data Exports
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@flatfile/plugin-record-hook
Advanced tools
This plugin provides a concise syntax for running custom logic on individual data records in Flatfile.
npm i @flatfile/plugin-record-hook @flatfile/hooks
import { recordHook } from '@flatfile/plugin-record-hook'
import type { FlatfileRecord } from '@flatfile/hooks'
Pass recordHook to a Flatfile data listener and provide a function to run when data is added or updated.
Set up a listener to configure Flatfile and respond to data events:
import {
Client,
FlatfileVirtualMachine,
FlatfileEvent,
} from '@flatfile/listener'
const listener = Client.create((client) => {
// Set up your configuration here
})
const FlatfileVM = new FlatfileVirtualMachine()
listener.mount(FlatfileVM)
export default listener
Use the this plugin to set up a hook that responds to data changes:
import { recordHook } from '@flatfile/plugin-record-hook'
listener.use(
recordHook('my-sheet', (record: FlatfileRecord) => {
// Your logic goes here
})
)
Replace my-sheet with the slug of the Sheet you want to attach this hook to.
Create a record hook that populates a "full name" field based on the values of first name and last name:
listener.use(
recordHook('my-sheet', (record: FlatfileRecord) => {
const firstName = record.get('firstName')
const lastName = record.get('lastName')
if (firstName && lastName && !record.get('fullName')) {
record.set('fullName', `${firstName} ${lastName}`)
record.addComment(
'fullName',
'Full name was populated from first and last name.'
)
}
return record
})
)
Use helper functions from @flatfile/plugin-transform in your record hooks for cleaner syntax.
FAQs
A plugin for running custom logic on individual data records in Flatfile.
The npm package @flatfile/plugin-record-hook receives a total of 109,391 weekly downloads. As such, @flatfile/plugin-record-hook popularity was classified as popular.
We found that @flatfile/plugin-record-hook demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 16 open source maintainers collaborating on the project.
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Product
Export Socket alert data to your own cloud storage in JSON, CSV, or Parquet, with flexible snapshot or incremental delivery.

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