How to Connect DaData to Excel (4 Methods Compared)

The Problem with Pulling DaData Enrichment Into Your Workbook

You have an Excel workbook with Russian contact records, company INNs, bank BIC codes, or raw delivery addresses. DaData has the cleaning and enrichment APIs your team needs. But getting that data into Excel in bulk, without a developer, is not straightforward.

DaData covers a wide surface: postal address standardization to FIAS and KLADR formats, Russian company registry lookups, phone and email cleaning, bank metadata, passport validation, Kazakhstan BIN lookups, geocoding, and OKVED2 classification. The data is authoritative. The gap is on the Excel side. Excel does not have a built-in way to call external APIs at scale, and most teams either rely on a developer to write a VBA macro or do the enrichment by hand, row by row.

Below are the four ways teams typically pull DaData results into Excel. Only the last one scales without code.

Method 1: Call the API by Hand and Paste Results Into the Workbook

The most common starting point. You open the DaData docs, call an endpoint for a few records, copy the JSON response, and paste the values you need into the workbook manually.

When this works:

• You need to verify one or two addresses before a logistics upload
• A developer is sanity-checking the API response format
• You have a handful of rows and a REST client open

When it breaks:

• You have 300 BIC codes and a payment run tomorrow
• The records need multiple DaData endpoints per row
• The person running the enrichment is not a developer

The fundamental issue is that DaData's API is designed for programmatic access. Calling it row by row through a browser tool and pasting results into an Excel workbook is not a workflow — it is a stopgap that falls apart past ten records.

Method 2: Use Power Automate to Trigger DaData Lookups

Power Automate is the natural choice for Excel files living on OneDrive or SharePoint. You can build a flow that watches for new rows and calls the DaData API when one appears.

This works for event-driven moments:

• New supplier added to the vendor tab → validate INN immediately
• New customer record added → normalize phone and clean address
• New KYC intake row → check passport validity

This fails for batch or analytical work:

• You already have thousands of rows that need backfilling
• You need results from multiple endpoints combined per row
• You need conditional logic that depends on what is already in the row

Power Automate fires on new rows. It does not iterate over existing data in bulk. It also does not coordinate calls to multiple DaData endpoints per record cleanly. For a 5,000-row contact backfill or a monthly supplier enrichment run, Power Automate is not the right tool.

Method 3: The Previous Generation — VBA Macros and Low-Code Connectors

Until recently, the best option for bulk DaData enrichment in Excel was a VBA macro that called the API, looped over a range, and wrote the parsed response back into columns. A developer wrote it once, a menu item triggered it, and the team ran it when needed.

That was a real step up. It worked reliably for the endpoint it was built for, on the column structure it was built against.

But the moment the workbook structure changed — a new column inserted, a different DaData endpoint needed, a second type of record added to the same sheet — the macro needed updating. And if the developer who wrote it had left, it stayed broken until someone reverse-engineered it. There was also a category of low-code connector tools that offered a configuration UI instead of code. Better, but they still required a separate setup for each endpoint, and combining multiple DaData calls per row into a single coherent pass was not something they handled well.

This is the category we think of as the previous generation. It worked, but it asked a lot of the operator.

The Easy Way: Using SheetXAI in Excel

There is a different approach. SheetXAI is an AI agent that lives inside your Excel workbook, both in Excel for the web and Excel desktop. It reads the workbook, understands the column layout, and through its built-in DaData integration it can call the right endpoints per row, handle conditional logic, and write results back into new columns. No VBA, no Power Automate flow, no connector configuration. You just ask.

Example 1: Your Data Is Already in the Workbook

You have an Excel workbook with 150 counterparty BIC codes in column A of the Payments tab. The treasury team needs the bank name, SWIFT code, and correspondent account written in before the payment batch goes out.

For each BIC in column A of the Payments tab, use DaData to look up the bank and write the bank name into column B, the SWIFT code into column C, and the correspondent account into column D. Skip any blank rows.

SheetXAI reads the BIC column, calls DaData's bank lookup for each row, and writes the results back. Finance gets a complete payment sheet without anyone touching the API.

Example 2: Your Data Needs Multiple Endpoints in One Pass

If your workbook has records that need address standardization and phone normalization in the same pass, SheetXAI handles both endpoints in one prompt:

For all rows in the Contacts tab, use DaData to normalize the phone number in column C into E.164 format and write it into column F, then parse the address in column D into postal code, city, street, and house number — write those into columns G, H, I, and J.

One prompt, two DaData endpoints, one pass across every row in the tab.

Which Method Should You Use

For single-record lookups, the manual API call is fine. For event-driven flows where new rows are added one at a time and enrichment should happen automatically, Power Automate works if the volume is low.

For anything involving existing rows that need backfilling, multiple DaData endpoints per row, conditional logic, or a non-developer who needs to run enrichment on demand, SheetXAI is the only option that handles the work without code.

If your team runs this more than once a quarter, the time saved on the second run pays back the first.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook with Russian contact, company, or payment data, then ask it to run DaData enrichment on the columns you care about. The DaData integration is included in every SheetXAI plan.

For specific workflows, see how to bulk-clean Russian contact records in Excel, how to enrich supplier INNs in an Excel workbook, or browse the full integrations directory.