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Semrush · Google Sheets Integration

Semrush + Google Sheets Integration

2026-05-13
7 min read
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The Problem with Getting Semrush Data into Your Sheet

You do serious SEO work in Semrush — keyword research, backlink audits, competitor tracking, paid search intelligence. The data is excellent. The problem is it lives inside the Semrush interface, and anything you want to analyze at scale, across keywords, across domains, across time, has to come out somehow.

Semrush's own export tool gives you a CSV per query. One keyword list, one export. One domain, one export. That is fine for a single lookup. For a 150-keyword content audit, or a six-domain backlink comparison, or a 12-month link-velocity chart, you are clicking export over and over and stitching CSVs together by hand, and by the time the sheet is built, the data is stale.

Below are the four ways people typically pull Semrush data into Google Sheets. Only the last one handles the work at scale.

Method 1: Manual CSV Export from Semrush

The default. You run a query in Semrush, click export, get a CSV, paste it into the sheet, repeat for the next domain or keyword. For a one-time lookup it is fast enough.

When this works:

  • You need one domain's overview and you only need it once
  • The keyword list has ten items or fewer
  • You are building a proof of concept, not a repeatable workflow

When it breaks:

  • Auditing 150 keywords means 150+ individual exports or batching with multi-step manual effort
  • Comparing 5 competitor domains takes 5 exports, 5 paste operations, and a manual merge
  • Anything recurring — a weekly rank check, a monthly backlink review — requires doing this all over again
  • You miss Semrush's batch endpoints because the UI does not expose them

The real cost is not the export itself. It is the assembly work afterwards. You spend thirty minutes arranging CSVs into a coherent sheet, and by the time you finish, somebody asks you to add a sixth domain.

Method 2: Use Zapier or Make to Sync Semrush Data When Something Changes

The automation approach. You wire up Zapier or Make to call Semrush's API and write rows into a sheet on a schedule or on a trigger event.

This works for event-driven moments:

  • A new keyword added to a tracking campaign
  • A ranking change alert that should log the new position
  • A weekly snapshot of a single domain's metrics

This fails for analytical or batch work:

  • Pulling all 200 organic keywords for 5 domains in one pass
  • Comparing keyword gaps across tabs after the data lands
  • Enriching an existing list already in the sheet without rebuilding the whole flow

Zapier and Make fire row by row on events. They do not read an existing column of domains, iterate over them, and distribute results across tabs. You also pay per task, and a 150-keyword batch job at two API calls per keyword gets expensive fast on a per-task pricing model.

Method 3: The Previous Generation — Semrush Connector Add-Ons

Until recently, the best option for repeatable Semrush-to-sheet workflows was a category of connector add-ons that could call Semrush's API on a schedule and write the results into a fixed range. You configured the query once, mapped the output columns, saved the connection, and let it run.

That was a real step up from manual CSV exports. The data refreshed without you having to click anything. The sheet was always roughly current.

But you were still responsible for configuring a separate connection for every query type, one for keywords, one for backlinks, one for competitors. When you wanted to add a new domain to the audit, you added a new connection. When you wanted to change the sort order or filter to a specific country, you went back into the configuration UI. The tool moved the data; the thinking was still on you.

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 Google Sheets

There is a different approach entirely. SheetXAI is an AI agent inside your Google Sheet. It reads what you have in the sheet, understands the structure, and through its built-in Semrush integration it can pull keyword metrics, backlink profiles, competitor lists, and more, then write the results exactly where you want them. No query configuration, no column mapping, no CSV assembly, you just ask.

Example 1: Your Keyword List Is Already in the Sheet

You have 150 target keywords in column A. You want to know the search volume, CPC, and keyword difficulty for each before your quarterly planning session.

For each keyword in column A, fetch the Semrush US keyword overview and write search volume, CPC, and keyword difficulty into columns B, C, and D. Use the batch endpoint where possible to speed it up.

SheetXAI reads the list, batches the API calls intelligently, and writes the results back into the sheet. All 150 rows, one prompt.

Example 2: Your Data Lives Across Multiple Domains

Your competitive audit needs backlink data, keyword gaps, and authority scores for your domain plus five competitors, all in one workbook.

For each domain in column A, fetch the Semrush backlinks overview and write total backlinks, referring domains, authority score, and dofollow percentage into columns B through E. Then compare the organic keywords across all domains and write every keyword where at least one competitor ranks top 10 but our site ranks below 20 into a new Gaps sheet.

SheetXAI pulls the backlink data, writes it into the sheet, runs the gap analysis, and sets up the Gaps tab. One prompt, end to end, with the sheet as the working structure between the different Semrush endpoints.

Which Method Should You Use

For a one-time single-domain lookup you will never repeat, a manual CSV export is fine. For event-driven rank tracking where a new keyword entering a list should auto-log its metrics, Zapier or Make are a reasonable fit.

For any batch work — enriching an existing keyword list, auditing multiple competitor domains, building a recurring monthly backlink report, comparing 5 domains in a gap analysis — SheetXAI is the only option that reads your sheet, batches the API calls, and writes results back where you want them in one prompt. No query configuration, no per-task pricing risk, no manual CSV assembly.

If you are doing this work monthly, the second run of any prompt costs you nothing beyond the first.

Try It

Get the 7-day free trial of SheetXAI and open any sheet with a keyword list or domain list, then ask it to pull the Semrush data you need. The Semrush integration is included in every SheetXAI plan.

For specific workflows, see how to bulk-pull keyword metrics from Semrush, how to find keyword gaps across competitor domains, or browse the full integrations directory.

More Semrush + Google Sheets guides

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Pull the Organic Pages Report from Semrush into Google Sheets

See every URL currently ranking in Google's top 100, with estimated traffic, keyword count, and top keyword, exported into your sheet for a content pruning audit.

Map the Geographic Distribution of Referring Domains from Semrush in Google Sheets

Pull the Semrush referring domains by country report for multiple sites into a sheet to understand international link diversity and build a geo heatmap.

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