databar-table-enrichment

To enrich leads in bulk, you create a table, insert your rows, map enrichment parameters to the columns, and run the process across every row to generate a shareable results link.

Table-based data enrichment orchestrates multi-step workflows to process large datasets. You need it when enriching leads, emails, or domains requires automating per-row processing across persistent table views.

Yes, you can run per-row enrichment on domains and emails by creating a table, inserting rows, mapping enrichment inputs to your columns, and running the workflow to view results in the Databar UI.

The best way to automate bulk data enrichment is centralizing work in a table, mapping enrichment inputs to columns, and automating per-row processing to deliver a persistent results link.

No, you do not need to manually map columns. The workflow infers columns from inserted rows, allowing you to map enrichment inputs directly to table columns and run processing on all rows.

You share enriched table results by running the enrichment on all rows, which generates a shareable link to the results stored in a persistent table view in the Databar UI.