How to Connect SerpHouse to Excel (4 Methods Compared)

The Problem With Getting SERP Data In and Out of SerpHouse

You have an Excel workbook full of keywords — a client's target terms, a competitor gap list, 250 rows from a content audit you just finished. You need live search results for each one: organic positions, titles, domains, maybe localized to a specific city or device profile.

SerpHouse is good at returning real-time SERP data at scale across Google, Bing, and Yahoo. But between the SerpHouse API and a populated workbook sits a gap most teams fill by hand. The usual flow is to export a CSV from SerpHouse, open it alongside the workbook, find the matching rows, copy the fields you need, and paste — once per run, per keyword set, per client report.

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

Method 1: Manual Copy-Paste

The default. You run searches in the SerpHouse dashboard or API tester, export the results as CSV, open the file next to your workbook, and transfer the relevant columns by hand. For a handful of keywords this is manageable. For a client keyword list of two hundred terms, it isn't.

Each CSV has its own structure. Each export has slightly different field names. Each paste requires a judgment call about which columns map to which.

You spend forty minutes on data shuffling that has nothing to do with the analysis you were hired to do.

The grind here isn't any single step — it's the cumulative cost of doing the same structural work over and over because nothing remembers your decisions from last month's report.

Method 2: Power Automate

Power Automate has HTTP action support that can call the SerpHouse API, and you can build a flow that reads a keyword from your workbook, fires the search, and writes results back to specified columns.

Before you commit to that path — are you comfortable with HTTP request configuration, JSON parsing, and Power Automate's expression language? Do terms like "apply to each," "compose action," and "dynamic content binding" feel natural? If not, this path will cost more hours than the task is worth. Methods 3 or 4 will serve you better.

For those with the background to build it: the flow is achievable. You configure an HTTP action pointing at the SerpHouse API, parse the JSON response, and map each field to a specific column using dynamic content expressions.

But processing one keyword per flow run is not the same as a bulk pull.

Two hundred keywords means two hundred separate HTTP calls, two hundred flow runs, and an action history that becomes impossible to audit when row 47 returns a non-standard response structure and the rest silently move on without it.

You probably just need the ranking data populated before the weekly client review. You probably have no idea how to write a Power Automate expression that parses a nested JSON array — and honestly, that's not what your job is. So you describe the problem to whoever manages your automation stack, and now you're waiting on their calendar availability before you can finish your worksheet.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable workbook ↔ SerpHouse workflows was a category of add-ins that let you configure API field mappings, save templates, and re-run them on demand. You picked your keyword column, mapped the response fields to destination columns, saved the config, and scheduled it.

That was a meaningful improvement over CSV exports. Output was consistent, configs were reusable, the team didn't have to rebuild the mapping every reporting cycle.

But every structural decision was still yours. Which fields to pull. How to name the columns. How to handle rows where SerpHouse returned fewer results than expected. And when the workbook structure changed — a new geo column, a reordered header row — someone had to go back in and fix the config before the next run.

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

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 are looking at, and through its built-in SerpHouse integration it can search Google, Bing, or Yahoo for you and write the results back — directly into your columns. No template configuration, no automation glue, no JSON parsing. You just ask.

Example 1: Bulk organic ranking pull for a client keyword list

For each keyword in column A, search Google via SerpHouse and fill the top 5 organic result titles and domains into columns B through K

SheetXAI reads the keyword list, fires the SerpHouse search for each row, and writes back title and domain pairs across ten columns. The workbook fills in as results return.

Example 2: Position check with geo-targeting

For each keyword in column A, search Google via SerpHouse with location set to Chicago and write the top organic result title, domain, and position into columns B, C, and D

The pattern: instead of running the geo lookup separately and then merging back into the workbook, you ask for both in one prompt. SheetXAI handles the location parameter and the column mapping inline.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook with a keyword list, then ask it to pull live SERP data from SerpHouse for each row. The SerpHouse integration is included in every SheetXAI plan.