How to Connect Search API to Excel (4 Methods Compared)

The Problem With Getting Workbook Data In and Out of Search API

You have an Excel workbook full of data — target keywords, SKU names, metro markets, competitor domains. You need Search API to run searches against all of them and write structured results back into columns you can actually analyze.

Search API is good at extracting structured SERP data from 40+ engines including Google, Bing, YouTube, and Amazon at scale. But getting that data into your workbook is its own project. The usual flow is exporting from Search API one query at a time, parsing the JSON manually, and spending more time on the data transfer than on the actual research.

Below are the four common ways teams handle this. Only the last one scales.

Method 1: CSV Export and Paste

The default for Excel users. You run a query through Search API's interface, export what results you can, open the CSV, reformat the headers to match your workbook schema, and paste the rows in. Then repeat for the next keyword.

For 30 keywords that's 30 export operations, 30 file opens, and 30 paste jobs — each one requiring you to remember which column maps where. A single header rename in the export format breaks everything downstream until someone catches it.

The underlying research is valuable. What grinds people down is the mechanical repetition — running the same extraction process for every row in a workbook that should be doing this automatically.

Method 2: Power Automate

Power Automate has Search API connector options. You can build a flow that triggers on a new worksheet row, calls the Search API endpoint for that keyword, and writes the organic results into adjacent columns.

A quick gut check before you go further: do you know what an HTTP action is in Power Automate? A dynamic content expression? JSON parsing? If those concepts are unfamiliar, this path will take longer than expected, and Method 3 or 4 will serve you better.

For those still reading: the flow works. You set up the trigger, authenticate with Search API, configure the HTTP action for the right endpoint, parse the response body, and map each field into its destination column. The mechanics are sound.

But Power Automate is row-by-row.

Running 30 keywords through a flow means 30 separate trigger fires, 30 individual API calls, and a run history that becomes hard to debug the moment one row returns an unexpected response structure.

You probably just need the ranking data for the keywords in your list. You probably have no idea how to write the Power Automate expression that navigates nested JSON — and that's a completely reasonable place to be. So you push this to your IT contact or whoever builds automations on your team, and now the project sits in their queue while yours stalls.

Once you need to aggregate across the full dataset — finding the median position across all keywords, or flagging rows where your domain didn't rank — you've exceeded what a per-row flow handles natively.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best repeatable option for Excel to Search API workflows was a category of add-ons that let you configure column templates, save endpoint mappings, and rerun them on demand. You tagged your keyword column, mapped your output fields, saved the config.

That was a meaningful upgrade from CSV exports. Configs were reusable, the output was predictable, and your team didn't have to redo the setup every week.

But you were still responsible for designing the template, choosing which response fields to capture, maintaining the mapping when Search API's structure changed or when your worksheet gained new columns. The add-on moved the data — the operator still owned the thinking.

This is the previous generation. It worked, but it asked a lot of the person maintaining it.

The Easy Way: Using SheetXAI in Excel

There is a different way entirely. SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook, understands what you're looking at, and through its built-in Search API integration it can run searches against every row and write structured results back — no template configuration, no field mapping, no JSON parsing. You just describe what you want.

Example 1: Bulk SERP fetch for a keyword list

For each keyword in column A, use Search API to search Google and write the top 5 organic result titles and URLs into columns B through K.

SheetXAI runs the searches in sequence, maps each result's title and URL into the right columns, and flags any rows where fewer than 5 organic results came back.

Example 2: Competitor domain rank check

For each keyword in column A, use Search API to check whether the domain in cell B1 appears in the top 10 Google results — write the position number or "not found" into column B.

The pattern: instead of running searches first and then applying the lookup logic in a separate step, you describe both operations in one prompt and SheetXAI handles the conditional thinking inline.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook with a keyword list or product query column, then ask it to pull SERP data from Search API into adjacent columns. The Search API integration is included in every SheetXAI plan.