How to Connect BuiltWith to Google Sheets (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of BuiltWith

You have a Google Sheet full of domains — prospect lists, competitor trackers, acquisition targets, outreach pipelines. You need it enriched with technology data from BuiltWith, or you need BuiltWith's bulk domain lists pulled directly into a sheet so you can filter and work with them.

BuiltWith is good at answering the question "what is this website built on?" at scale. But extracting that answer for hundreds of domains, or pulling the list of all sites running a given tool, is not a click-and-export operation. The default flow is API calls, JSON parsing, column mapping by hand — or paying for a CSV export, re-formatting it, and gluing it to your existing sheet every time you update the list.

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

Method 1: Manual Copy-Paste

The default. Navigate to BuiltWith for each domain, read off the technologies detected, paste them into the relevant columns in your sheet one row at a time. Or download a CSV from the BuiltWith dashboard, strip out the columns you don't need, and use VLOOKUP to stitch it onto your existing data.

For a list of five domains, this is a fifteen-minute task. For a list of two hundred, it becomes a standing item on someone's calendar that nobody wants. The specific grind is the lookup variation — each BuiltWith profile returns a different mix of detected tools, so every row requires judgment about which fields to populate and which to leave blank. The schema is the same, but the data never is. That inconsistency makes the paste error-prone in a way that doesn't show up until someone downstream asks why column D is empty for sixty rows.

Method 2: Zapier or Make

Both platforms have BuiltWith connector options. You can wire a trigger on a new row in the sheet, call the BuiltWith API, and write the enrichment back to the adjacent columns.

Before you keep reading — do you know what a webhook trigger is? A dynamic field map? An API authentication flow with key rotation? If any of those are unfamiliar, this is not the right path. Jump to Method 3 or 4.

Still here? Good. The setup works: authenticate to BuiltWith's developer portal, create the Zap or scenario, pick your trigger (new row, or a schedule), map each returned field to the right column in your sheet. When it runs, it runs.

The ceiling appears fast.

A row-by-row trigger means one API call per domain. A sheet of 500 domains means 500 trigger fires. The task log gets long, and the moment a domain returns unexpected JSON — an extra nested array, a field name with a version suffix — your field map silently breaks for that row and writes nothing.

You probably just need the tech-stack columns populated for your outreach list. You probably have no idea how to debug a Zap that fails on row 143 without producing an error, because it didn't fail — it just skipped. So you push this to whoever on your team builds automations, and you wait. If they're busy, the enrichment sits half-done until someone asks why the list looks incomplete.

And once you need to filter the results — only domains using Shopify, or only domains with no CDN detected — you've moved outside what a per-row automation can do. That logic belongs in the sheet, which means the automation now has to feed the filtering logic, and the filtering logic has to feed the next step. The glue accumulates fast.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable BuiltWith enrichment inside a spreadsheet was a category of add-ons that let you configure API endpoints, map response fields to columns, and save templates for reuse. You set up the call once, picked your column targets, saved the config, and ran it whenever the list updated.

That was a genuine step forward from manual lookups. The output was consistent, the mapping was preserved, and anyone on the team could re-run it without rebuilding the logic from scratch.

But the template was yours to design and maintain. Field naming inconsistencies in the BuiltWith response? Your problem. New column added to the sheet? The config broke until someone went back in and updated the mapping. The add-on moved data through. It didn't think about the data.

This is the previous generation. It worked, but it put the cognitive weight on 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 BuiltWith integration it can enrich your domain list, pull technology user lists, or audit redirects for you. No template setup, no API mapping, no post-processing. You just describe what you need.

Example 1: Bulk-enrich a prospect list with tech stacks

Look at the domains in column A. For each one, use BuiltWith to find their CMS, analytics platform, e-commerce platform, and CDN. Write the results to columns B, C, D, and E. Flag any domain using Shopify or WooCommerce in a new column called E-Comm Flag.

SheetXAI runs the enrichment across all rows, maps each BuiltWith field to the right column, and adds the conditional flag — all in one pass.

Example 2: Pull a technology user list into a blank sheet

Use BuiltWith to get the first 500 websites currently running Marketo. Write each domain, country, and detected technology categories to this sheet starting at row 2.

The pattern: instead of configuring an API call and parsing JSON, you describe the output you want and SheetXAI handles the retrieval and formatting inline.

Try It

Get the 7-day free trial of SheetXAI and open any Google Sheet with a list of domains or a blank sheet ready for a technology user list, then ask it to do one of the tasks above. The BuiltWith integration is included in every SheetXAI plan.