Enrich rows
When a new row is added in Data Blaze, enrich it with Pappers.
See all Pappers + Data Blaze integrations or talk to a human
4.9/5 on G2·
Google for Startups Accelerator
How Knit builds this workflow
The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.
Pappers Explore Pappers →
TriggersFires when Pappers finds or captures a new lead.
Fires when a new contact is added to a list in Pappers.
Fires when a new company matches a saved search in Pappers.
Adds job title, phone and company data to a contact with Pappers.
Looks up firmographic data for a company with Pappers.
Finds and verifies a prospect's work email with Pappers.
Data Blaze Explore Data Blaze →
TriggersFires when a row is added to a sheet in Data Blaze.
Fires when a row or column changes in Data Blaze.
Fires when a new spreadsheet or worksheet is created in Data Blaze.
Adds a new row to a sheet in Data Blaze.
Updates the values in an existing row in Data Blaze.
Finds a row by a column value in Data Blaze.
More Pappers + Data Blaze workflows
Find emails for a list
When a row is added without an email in Data Blaze, find one with Pappers.
See details
See all Pappers + Data Blaze integrations → · Browse the full workflow library →
Common questions
Can Knit build “Enrich rows” between Pappers and Data Blaze?
Yes — describe it in the box above and Knit's Integrations Agent researches Pappers and Data Blaze's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.
How long does it take to build?
Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.
Can sheet rows be enriched?
Yes. When a row with a name or domain is added in Data Blaze, Pappers can enrich it and write the data back.
Can prospects be logged?
New contacts or companies found in Pappers can be added as rows in Data Blaze.