The Problem With Getting Sheet Data In and Out of SimilarWeb DigitalRank API
You have a Google Sheet full of data — competitor domains, prospect websites, portfolio companies, market targets. You need each one's global traffic rank from SimilarWeb, or you need a ranked list of the top sites in a given category, in a way that doesn't require an afternoon of copying and pasting from a dashboard.
SimilarWeb DigitalRank API is good at surfacing authoritative global website rankings fast. But moving that data into your spreadsheet is more work than it should be. The default flow is: look up each domain one at a time, screenshot or copy the rank, paste it into the right row, move on to the next domain, repeat until your hand cramps.
Below are the four common ways teams handle this. Only the last one scales.
Method 1: Manual Copy-Paste
The default. Open the SimilarWeb website or their UI, search each domain, note the rank, paste it into your sheet by hand. For a list of five competitors this takes ten minutes. For a list of forty domains it takes most of a morning — and every time you need a fresh snapshot, the morning disappears again.
The specific grind with SimilarWeb data is that ranks shift. Yesterday's rank 12,000 is today's rank 9,400. If you built your competitive map last quarter, every number in it is stale. Manual lookup is not just a one-time cost — it's a recurring tax on whoever owns the competitive intelligence function. Over time, the person doing the lookups starts leaving cells empty rather than going back in. The map goes out of date without anyone noticing.
Method 2: Zapier or Make
Both platforms have SimilarWeb connector options. You can set up a trigger — a new row in the sheet, or a schedule — and for each domain, call the DigitalRank API and write the rank into the corresponding cell.
Before going further: do you know what a webhook trigger is? A field mapper? An API key header? A dynamic path variable? If those terms feel slippery, this path is not for you — skip to Method 3 or 4.
For those still here: the setup involves authenticating with the DigitalRank API, configuring the trigger to fire on new rows or a time schedule, mapping the domain field as the API query parameter, parsing the rank from the JSON response, and writing it back to the right column. It works.
The ceiling is structural.
A trigger-per-row automation is not the same as a bulk enrichment pass. Forty domains means forty separate API calls, forty trigger fires, and a task log that's impossible to audit if domains 18 through 23 come back empty because of a trailing slash in column A.
You probably just need the ranks. You probably have no idea how to configure a dynamic path variable in a Zap — and that's fine. So you hand it to whoever on your team builds these things, and then you're waiting on Slack while they sort out why Make is throwing a 401 on every third domain. That's not analysis. That's just waiting.
Method 3: The Previous Generation — Connector Add-Ons
Until recently, the best option for repeatable spreadsheet ↔ SimilarWeb workflows was a category of add-ons that let you configure domain-lookup templates. You picked your column, you mapped the API field, you saved the config, you ran it.
That was a real step up from manual lookups. The output was consistent, configs were reusable, the team wasn't starting from scratch every quarter.
But you were still responsible for the template design, the field mapping, the API key management, the column structure, the handling of UNRANKED domains. The tool moved the data — the judgment about how to handle it was still entirely on you. And whenever the sheet structure changed — a new domain column, a new tab, a renamed header — the config broke until someone went back in.
This is 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 way entirely. SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, understands what you're looking at, and through its built-in SimilarWeb DigitalRank API integration it can look up ranks, flag missing domains, pull top-site lists, and write everything back — for you. No template, no automation glue, no copying from a browser tab.
Example 1: Bulk-enrich a competitor domain list
For each domain in column A, fetch the SimilarWeb global rank and write it into column B — flag any domain not found as UNRANKED.
SheetXAI reads every domain in column A, calls the DigitalRank API once per domain, and writes the rank directly into column B. Domains with no SimilarWeb entry get flagged as UNRANKED rather than left blank.
Example 2: Pull a country- and category-filtered top-sites list
Fetch the top 30 websites from SimilarWeb filtered to the Finance category and United Kingdom and write each site's domain and global rank into columns A and B.
The pattern: instead of navigating the SimilarWeb UI and exporting manually, you ask for both the filter and the output shape in one prompt. SheetXAI handles the API parameters and the write-back inline.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet with a list of competitor or prospect domains, then ask it to enrich each row with its SimilarWeb global rank. The SimilarWeb DigitalRank API integration is included in every SheetXAI plan.
More SimilarWeb DigitalRank API + Google Sheets guides
Enrich Competitor Domains With Global Traffic Rank in a Google Sheet
Pull a SimilarWeb global rank for every domain in your spreadsheet and flag any that don't appear in the index — no manual lookups.
Pull Top-Ranked Sites by Country and Category Into a Google Sheet
Fetch the SimilarWeb top-sites list filtered to a specific country and industry category and land it in your spreadsheet in one pass.
Build a Benchmark Universe of Top Sites Across Categories in a Google Sheet
Pull the top websites for each of your target industry verticals from SimilarWeb and assemble them into a single flat table for sector analysis.