Enrich every row in a spreadsheet from an external data source

Reads every row in a spreadsheet, looks up extra details for each one from an external service, and writes the results back.

How the work actually flows

It branches. Exactly one path is taken; runs once per each row in the spreadsheet.

Pattern: Exclusive Choice (4) · Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig[\"spreadsheet ready for enrichment"\]:::trigdata s0[("read spreadsheet rows")]:::store s1["group rows into batches"]:::task s2[["look up details per row"]]:::mi trig --> s0 s0 --> s1 s1 -->|"one per each row in the spreadsheet"| s2 gx{"× lookup succeeded"}:::gate s2 --> gx p00["write result to spreadsheet"]:::task gx -->|"lookup succeeded"| p00 p10["log failure separately"]:::task gx -->|"lookup failed"| p10 p00 --> out p10 --> out out[/"enriched spreadsheet with failure log"/]:::out pay{{"saves hours of manual row lookups"}}:::pay out --> pay s1 -. "failures recorded, run continues" .-> out classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepRuns once per itemA record or sheetOne path onlyResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Spreadsheet & Database OpsAPI & Webhook Integration
Connects
Google Sheets

The problem it solves

You have a spreadsheet full of records that need extra information filled in, like company details or verification status, but looking each one up by hand row by row takes all day. Doing it too fast can also get you blocked by the service you're pulling from.

Who it fits

Operations teams enriching customer, lead, or product data stored in a spreadsheet.

How it works

  1. The spreadsheet is read in full
  2. Rows are grouped into small batches to avoid overloading the data source
  3. Each row is sent to an external service to fetch extra details
  4. Successful lookups are written back into the spreadsheet, and failures are logged separately
What you get

Every row enriched with fresh details

You keep your spreadsheet filled with up-to-date details pulled in automatically from your external data source.

What you get

A fully enriched spreadsheet with a log of any rows that failed to update.

What you need

A Google Sheets account and access credentials for the external data service you're enriching from.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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