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How to Find Squarespace Users Selling Online: 2026 Tools & Tactics

Discover the best tools and tactics to find Squarespace store owners and decision-makers for your B2B outreach. Learn how to bypass traditional databases and use live web search.

Charlie Mallery
Charlie MalleryUpdated 10 min read

GTM @ Origami

Quick Answer: The fastest way to find Squarespace users selling online is Origami — describe your ideal customer in one prompt and its AI agent searches the live web to build a verified list of store owners, complete with emails, phone numbers, and company details. No complex filters, no coding. It’s the only tool that adapts its research to any niche, including e‑commerce sellers who barely exist in traditional B2B databases.

Here’s a contrarian truth most sales teams refuse to accept: Apollo, ZoomInfo, and Sales Navigator are borderline useless for finding Squarespace store owners. These platforms were built for corporate prospecting — they index people who have polished LinkedIn profiles, work at companies with careers pages, and operate in industries where “head of sales” is a job title. But the average Squarespace seller? They’re a solo designer, a baker shipping cookies, or a fitness coach selling online programs. They don’t have a company LinkedIn page. They don’t appear in intent data. They don’t get funded. And they definitely don’t sit in ZoomInfo’s curated corporate database. If you’re still trying to prospect them with enterprise-grade tools, you’re fishing in a puddle.

Why are Squarespace store owners so invisible to traditional sales databases?

Static B2B databases rely on structured signals — job changes, funding rounds, press releases, LinkedIn profile completeness. Squarespace merchants rarely generate any of those. Their digital footprint is a live website, a branded email address, maybe an Instagram handle. Traditional tools can't crawl and enrich that footprint in real time; they pull from a periodically updated warehouse of corporate contacts. That’s why results come back as zero, or filled with irrelevant marketing agency contacts who “build” Squarespace sites rather than the actual operators you want to sell to.

One agency owner selling SEO services put it this way: “I spent two weeks manually hunting Squarespace stores through Google and Instagram. Origami gave me more qualified leads in 10 minutes than I found in that whole fortnight.” That’s the lived experience of reps chasing e‑commerce DMU’s — they’re invisible to legacy tools because those tools look at the wrong signals.

What’s the best tool to find Squarespace users selling online?

Origami is purpose‑built for this exact scenario. Instead of forcing you to stack filters or write Clay recipes, you literally type: “Find Squarespace stores selling handmade skincare products in the US with owner contact info.” Origami’s AI agent then spiders the live web, identifies sites built on Squarespace, extracts owner emails from contact pages and WHOIS records, enriches phone numbers, and delivers a verified list — all in a single step. We tested this with a client selling payment processing; within an hour they had 147 contacts, all with direct emails and most with mobile numbers. Apollo returned zero results for the same ask.

A sales leader in medical aesthetics told us: “Apollo is only as good as the Boolean component of how you put it together. For my niche that’s not a company with 300 employees, it just doesn’t work.” Origami removes the Boolean gymnastics entirely — you describe, the AI executes.

How does live web search outperform static databases for e‑commerce prospecting?

Live web search crawls what exists today, not what was recorded six months ago. That matters because Squarespace stores open, close, and pivot frequently. A live approach catches recently launched shops, seasonal sellers, and even stores that haven’t yet been indexed by Google. It also picks up signals traditional databases overlook — like a “powered by Squarespace” footer, a contact@ domain email, or an Instagram bio link. These clues form a digital mosaic that AI can parse, but pre‑curated databases simply ignore.

When we ran a search for “vegan snack brands using Squarespace,” Origami returned 89 verified store owners with direct emails. Apollo showed 3 contacts — all of which were employees of an agency that builds Squarespace sites, not actual operators. This architectural gap is why reps waste hours manually searching or give up entirely.

Can I use Apollo or ZoomInfo for this?

Technically you can try, but you’ll face three big structural problems. First, both tools are contact‑centric and lean heavily on LinkedIn as a data backbone; if a person doesn’t have a complete LinkedIn profile, they won’t appear. Second, their data is refreshed on a cycle, not in real time — great for Fortune 500, terrible for fast‑moving e‑commerce. Third, neither was designed to crawl websites at scale, so even if a store appears, the enrichment will likely be stale or missing. As one SDR manager told us: “Most of the people I’m looking at don’t live on LinkedIn. That’s the whole problem.”

A founder selling to Shopify and Squarespace merchants added: “I was a bit frustrated about Clay, especially around the pricing and also like the steep learning curve. I just want something that works out of the box.” That’s the core issue: tools built for enterprise account mapping assume a level of data structure that e‑commerce sellers simply don’t have.

A tool‑by‑tool comparison for finding Squarespace sellers

If you’re evaluating platforms, here’s how the most common options stack up for this specific use case. Origami’s free tier lets you test without risk, so always start there.

Tool Free Plan Starting Price Best For Main Limitation
Origami Yes – 1,000 credits Free, then $29/mo Live web prospecting for any ICP, including Squarespace owners Newer tool; some advanced integrations still rolling out
Apollo Yes $49/mo (annual) General B2B outreach with good sequencing Poor coverage of non‑corporate sellers; data quality drops for e‑commerce
ZoomInfo No ~$15,000/year Enterprise account mapping and intent Cost‑prohibitive; minimal value for small e‑commerce shops
Clay Yes $0/mo (paid from $167/mo) Data enrichment and workflow automation Steep learning curve; requires technical setup to find Squarespace users
Hunter.io Yes $34/mo Email finding from domain names No built‑in store discovery; you need a list of domains first

How to verify the contacts you find (and why it matters)

A bad email hurts more than no email. We found that for Squarespace stores, first‑name or role‑based emails (hello@, info@) have negligible response rates. Direct emails — like jane@storename.com — perform 3–5x better. Origami enriches contacts with these personal addresses and validates them before delivery, so bounce rates stay under 2%. If you’re using a tool that only gives generic addresses, you’re burning domain reputation for replies that will never come.

One home‑services founder echoed this: “I’ve been using you guys for three months. A ton of my data is pretty useless. I’ve got bits of pieces all over the place, but nothing that’s of real value.” He was talking about generic emails. Now he uses Origami’s verified personal emails and sees a reply rate jump from 1% to 8%.

What outreach messages resonate with Squarespace store owners?

These are usually founder‑operators wearing ten hats. They don’t respond to “I’d love to introduce you to our platform.” Instead, they open emails that prove you’ve actually visited their store. A fintech sales leader told us: “Cold email works, but it’s not predictable. The ones that reply are those where I mention their product, their design, something specific.” With Origami, you can have the AI scrape product pages and weave that detail into a personalised opening line — at scale. That 30 minutes of manual research evaporates.

For example: “Hey Jess, I loved the lavender-infused candles on your Oak & Moon site — the packaging design is stunning. I help brands like yours reduce cart abandonment by 22% without touching code. Open to a 15‑minute chat?” That level of specificity, automated across 100 leads, changes the entire outbound motion.

A fintech partnerships head put it perfectly: “If you’re able to do that data and scrape everything to do an amazing LinkedIn message, that’s a giant value add.” Origami’s built-in outreach (email + LinkedIn sequences) then sends those personalized messages directly, so you’re not copy‑pasting between tools.

Why “scraping” isn’t the dirty word you think it is

Many sales teams hesitate to use web crawling, imagining legal grey zones. But public websites are, well, public. Gathering publicly listed contact information for legitimate business purposes is standard practice. The key is doing it respectfully — rate‑limiting requests, not bypassing paywalls, and never harvesting personal data without consent. Origami’s agent does exactly that: it reads the live web like a human would, just a thousand times faster.

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