chart-scatter-bubblen8n Integration

Connect the full power of Databar to n8n.

Connect Databar to your n8n workflows to enrich data, run waterfalls, and manage tables.


Getting Started

Prerequisites

Before you begin, make sure you have:

Installation

n8n Cloud

1

In your n8n instance, go to Settings > Community Nodes

2

Click Install

3

Enter n8n-nodes-databar

4

Confirm the installation

5

The Databar node will appear in your node panel. If the node doesn't appear, you may need to restart your n8n instance.

Alternatively, install via npm:

Install via npm
npm install n8n-nodes-databar

Then restart n8n.

Setting Up Credentials

1

Open any workflow and add a Databar node

2

Click the Credential dropdown and select Create New

3

Enter your Databar API key

4

Click Save - the connection gets tested automatically. When successfully tested, n8n should display that you have been successfully authorized.

circle-info

The API key gives access to all resources in that workspace. If you have multiple workspaces, create separate credentials for each.

Your API key is found in your Databar workspace under Integrations. Each workspace has its own API key. Please ensure you have the necessary access levels for the n8n integration to work properly.


Resources and Operations

The Databar node organizes functionality into four resources:

Resource
Operations
Description

Enrichment

Run

Enrich a single record using any Databar enrichment

Table

Insert Rows, Upsert Rows

Add or update rows in your Databar tables

Waterfall

Run

Run a waterfall across multiple data providers

Other

Get Account Info

Check your account balance and plan details


Enrichment: Run

Use this to enrich a single record - look up a person by email, verify a phone number, get company data from a domain, and more. There are over 450 enrichments currently available.

How to configure

1

Set Resource to Enrichment

2

Set Operation to Run

3

Select an Enrichment from the dropdown - browse all available enrichments with descriptions and credit costs

4

Fill in the Parameters - the form is generated dynamically based on the enrichment you selected. Required fields are marked.

5

Choose whether to Wait for Completion (enabled by default). This mode is highly preferred to avoid complexity in the integration.

Parameters

Field
Description

Enrichment

The enrichment to run. The dropdown is searchable - type to filter. Each option shows the name, data source, and credit cost.

Parameters

Input fields specific to the selected enrichment. These are generated dynamically - for example, an email verifier will show an "Email" field, while a company lookup will show a "Domain" field.

Wait for Completion

When enabled (default), the node waits for the enrichment to finish and returns the results directly. When disabled, it returns a task_id immediately that you can check later.

Additional Options (when Wait for Completion is enabled)

Option
Default
Description

Poll Interval

3 seconds

How often to check if the enrichment has completed

Timeout

300 seconds

Maximum time to wait before the node gives up

Example: Enrich a contact by email

1

Add a Databar node to your workflow

2

Resource: Enrichment, Operation: Run

3

Select "Get people data from email" from the enrichment dropdown

4

Enter the email address in the Email field (or map it from a previous node)

5

Execute the node

The output will contain the enriched contact data - name, company, social profiles, and more, depending on the enrichment.

Tips

  • You can map values from previous nodes into any parameter field using n8n expressions

  • Each enrichment costs a certain number of credits, shown in the dropdown

  • If you need to enrich many records, connect a loop or use n8n's built-in batching - the node processes one item per execution


Table: Insert Rows

Use this to add new rows to a Databar table. Each input item in your workflow creates one row.

How to configure

1

Set Resource to Table

2

Set Operation to Insert Rows

3

Select a Table from the dropdown

4

Fill in the Fields - the form shows all columns in your table with their types (e.g., name (text), revenue (number))

Parameters

Field
Description

Table

Select the target table. The dropdown is searchable and shows all tables in your workspace.

Fields

One input field per column in the table. Each field label shows the column name and type. Only user-created columns are shown - enrichment-generated columns are filtered out.

Options

Click Add Option to configure additional behavior:

Option
Default
Description

Allow New Columns

false

When enabled, if your data includes column names that don't exist in the table yet, Databar will create them automatically as text columns.

Dedupe

false

When enabled, rows that match existing rows on specified keys will be skipped instead of creating duplicates.

Dedupe Keys

-

Comma-separated list of column names to use for duplicate detection (e.g., domain, email). Only shown when Dedupe is enabled.

Example: Insert leads from a webhook

1

Set up a Webhook node to receive lead data

2

Add a Databar node: Resource Table, Operation Insert Rows

3

Select your leads table

4

Map the webhook fields to table columns (e.g., {{ $json.name }} into the Name field)

5

Execute - each incoming webhook creates a new row


Table: Upsert Rows

Use this to update an existing row if it matches a key, or insert a new row if no match is found. This is useful for keeping your table in sync with external data.

How to configure

1

Set Resource to Table

2

Set Operation to Upsert Rows

3

Select a Table from the dropdown

4

Choose a Column to Match On - this is the column Databar will use to find existing rows

5

Enter the Value to Search - the specific value to look for in that column

6

Fill in the Fields - the column values to set on the matched or newly created row

Parameters

Field
Description

Table

The target table.

Column to Match On

The column used to find an existing row. The dropdown shows all user-created columns in the table.

Value to Search

The value to look for in the match column. Databar searches for a row where the column matches this value exactly. If found, that row is updated. If not found, a new row is created.

Fields

The column values to set. Works the same as Insert Rows - one field per column, with types shown.

Example: Sync CRM data

1

Use a Schedule Trigger to run daily

2

Fetch contacts from your CRM

3

Add a Databar node: Resource Table, Operation Upsert Rows

4

Select your contacts table

5

Set Column to Match On to email

6

Map the email from the CRM data into Value to Search

7

Map the other CRM fields into the column fields

8

Execute - existing contacts are updated, new ones are inserted


Waterfall: Run

A waterfall tries multiple data providers in sequence until one returns a successful result. This is useful when you need high coverage - if one provider doesn't have the data, the next one is tried automatically.

How to configure

1

Set Resource to Waterfall

2

Set Operation to Run

3

Select a Waterfall from the dropdown

4

Fill in the Parameters - the form is generated dynamically based on the waterfall's input requirements

5

Select Data Providers - choose which providers to include in the waterfall (required)

6

Choose whether to Wait for Completion (enabled by default)

Parameters

Field
Description

Waterfall

The waterfall to run. The dropdown shows all waterfalls in your workspace.

Parameters

Input fields specific to the selected waterfall. For example, a "Find email by name and company" waterfall might show fields for First Name, Last Name, and Domain.

Data Providers

Multi-select dropdown showing all available providers for this waterfall. You must select at least one. Providers are tried in order - the waterfall stops at the first successful result. Each provider shows its name and credit cost.

Wait for Completion

When enabled (default), the node waits for the waterfall to finish. When disabled, returns a task_id immediately.

Additional Options (when Wait for Completion is enabled)

Option
Default
Description

Poll Interval

3 seconds

How often to check if the waterfall has completed

Timeout

300 seconds

Maximum time to wait

Example: Find someone's email

1

Add a Databar node

2

Resource: Waterfall, Operation: Run

3

Select a "Find email" waterfall

4

Fill in the person's name and company domain

5

Select the data providers you want to try

6

Execute - returns the email from the first provider that finds it


Other: Get Account Info

A simple utility operation to check your account status.

How to configure

1

Set Resource to Other

2

Set Operation to Get Account Info

3

Execute

Output

Returns your account details including:

  • Account name and email

  • Current credit balance

  • Plan information

  • Workspace details

This is useful for monitoring your credit usage in automated workflows.


Working with Expressions

All fields in the Databar node support n8n expressions. This lets you dynamically pass data from previous nodes.

Mapping data from a previous node

In any field, click the Expression toggle and use standard n8n syntax:

  • {{ $json.email }} - value from the previous node's output

  • {{ $('Webhook').item.json.domain }} - value from a specific node named "Webhook"

  • {{ $json.name.split(' ')[0] }} - JavaScript expressions for transformations

Using dynamic table or enrichment IDs

If you need to select a table or enrichment dynamically (e.g., based on input data), switch the dropdown to Expression mode by clicking the three-dot menu next to the field, then enter an expression that resolves to the ID.


Error Handling

Common errors and solutions

Error
Cause
Solution

Authentication failed

Invalid or expired API key

Check your API key in credentials. Generate a new one in Databar under Integrations if needed.

Task timed out

Enrichment or waterfall took longer than the timeout

Increase the timeout in Additional Options, or disable Wait for Completion and poll separately.

No enrichments loading

API connectivity issue

Check your internet connection and verify your API key has the correct permissions.

Fields not appearing

No table selected

Select a table first, column fields load dynamically after table selection.

Using the error output

You can connect the Databar node's error output (the red dot) to a separate branch to handle failures gracefully - for example, logging errors or retrying with different parameters.


Workflow Examples

Lead enrichment pipeline

Enrich incoming leads with company data, filter by criteria, and notify your team.

Data sync with deduplication

Periodically sync data from a spreadsheet into a Databar table, skipping duplicates.

Multi-provider email finder

Find emails using a waterfall of providers, then store results in a table - updating existing rows if the person is already in your table.

Credit monitoring

Check your credit balance daily and get notified when it's running low.


FAQ

chevron-rightHow many credits does each operation cost?hashtag

Credit costs depend on the specific enrichment or data provider. Costs are shown in the enrichment and provider dropdowns when configuring the node.

chevron-rightCan I process multiple records in one execution?hashtag

Yes. Connect a node that outputs multiple items (like a spreadsheet read or database query) before the Databar node. The node processes each item individually.

chevron-rightWhat happens if an enrichment returns no data?hashtag

The node will return the task response with empty or null result fields. Your workflow can check for this and handle it accordingly.

chevron-rightCan I use this with n8n Cloud?hashtag

Yes. The node is available as a community node on both n8n Cloud and self-hosted instances.

chevron-rightWhere do I find my API key?hashtag

In your Databar workspace, go to Integrations. Each workspace has its own API key.

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