Shopify & WooCommerce Store Leads by Location

Find Shopify, WooCommerce, BigCommerce, Wix and Squarespace stores by country, state, city and category, and get the business email, phone number and social links each store publishes on its own website. Or paste your own list of domains and use it as an ecommerce platform detector with contact extraction.

You pay only for qualified store leads: a live store on a platform you asked for, with at least one public business contact. Dead sites, non-stores, robots-blocked sites and stores without contacts are free.

Typical buyers: Shopify and WooCommerce app developers, ecommerce agencies, wholesalers and B2B suppliers selling to independent retailers, and payments, shipping or marketing SaaS teams building an ecommerce lead list.

What you get

One row per qualified store:

Field	What it is
domain	the store's website
platform	shopify, woocommerce, bigcommerce, wix or squarespace
business_name	from the site (og:site_name, else the page title)
emails	role/business addresses only (info@, sales@, support@, orders@ ...). Personal-name addresses are dropped on purpose
phones	from tel: links and visible text (North American format detection; check before dialling)
socials	first Facebook, Instagram, LinkedIn, X, YouTube and TikTok profile linked from the site
contact_page_url	the contact page, when one was found and robots.txt allowed it
category, city, region, country	what the store sells and where it is (discovery mode)
online_store	true when products are offered for sale on the homepage or the shop page it links to
final_url, pages_checked, checked_at	where the details were read, and when
data_licences, source	provenance of the discovery record (see Data sources)

Two ways to use it

1. Find stores (discovery mode)

Leave Your own store URLs empty and choose filters. Example: Shopify and WooCommerce clothing stores in Texas.

{
  "platforms": ["shopify", "woocommerce"],
  "countries": ["US"],
  "regions": ["TX"],
  "categories": ["clothing_store"],
  "maxLeads": 200
}

More examples:

• WooCommerce and Shopify furniture stores in the UK: {"platforms": ["woocommerce", "shopify"], "countries": ["GB"], "categories": ["furniture_store"]}
• Any platform, bike shops in Australia: {"countries": ["AU"], "categories": ["bike_store"]}
• Coffee sellers in Seattle and Portland: {"countries": ["US"], "cities": ["Seattle", "Portland"], "domainKeywords": ["coffee"]}

The actor picks matching retail businesses from its built-in index (about 2.4 million retail websites in 170 countries, including roughly 590,000 in the US, 198,000 in the UK and Germany each, 78,000 in Canada and 67,000 in Australia), visits each store's own website live, and keeps only the stores that qualify. It stops at Maximum leads, so a run never costs more than maxLeads x $0.005.

Run it again with the stores you already have in Skip these stores (excludeDomains) to get new ones without paying twice.

Typical results (test runs on 2026-10-03, all platforms and all retail categories): 100 qualified US leads from 886 sites checked in about 7 minutes; 100 UK, Australian and Canadian leads from 540 sites in about 5 minutes. About two thirds of those leads were Shopify stores. Narrow categories such as clothing, jewelry or gifts qualify more often than hardware or building supply. Most sites that are checked but not charged are not on one of the five platforms, are dead domains, or block automated requests.

Filters:

• platforms: any of shopify, woocommerce, bigcommerce, wix, squarespace (default: all five).
• countries: two-letter codes (US, GB, CA, AU, DE ...).
• regions: state or province codes as used in postal addresses (TX, CA, NY, ON, BC, NSW, VIC ...). Outside the US, Canada and Australia, regions follow the source data and are less consistent.
• cities: city names; case and accents are ignored.
• categories: what the store sells, for example clothing_store, jewelry_store, furniture_store, flowers_and_gifts_store, bike_store, pet_store, bookstore, cosmetics_and_fragrance_store, sporting_goods_store, liquor_store, eyewear_store or fashion_and_apparel_store (a parent that includes all apparel sub-categories). The input form lists every available category.
• domainKeywords: keep stores whose web address contains a word (vintage, organic, surf ...).

2. Check your own list (list mode)

Put up to 5,000 domains or URLs in Your own store URLs. You get one row per site with the detected platform, so you can see which of your prospects run Shopify, WooCommerce, BigCommerce, Wix or Squarespace. Only qualified stores are charged; every other row is free and says why (not a supported store platform, robots disallow, http 403, no public business contact found ...). The same store written several ways (shop.com, https://www.shop.com/) is checked and charged once. With Only stores with a business email, sites without one are left out of the results. Countries is a required field (it stops a blank run from starting an unscoped search); list mode ignores it, so any value works, as in this API input:

{ "countries": ["US"], "websites": ["kieljamespatrick.com", "https://example-shop.com"], "platforms": ["shopify", "woocommerce"] }

Workflow example: build a retailer prospect segment

A payments, shipping or ecommerce app team can start with a narrow segment rather than buy a large database: select shopify and woocommerce in Store platforms, choose the Countries or States / regions where it sells, and optionally add a Store categories value. Set Maximum leads to the number its sales team can review. The finished dataset contains the store domain, detected platform, public business contact details and the category, city, region and country fields, so the buyer can filter it in its own CRM or spreadsheet before any outreach. Run the same filters later with the prior domains in Skip these stores to request only newly discovered stores. Weio does not send messages or log in to stores, and contact details are public site details, not verified deliverability data.

Output example

A real row from a test run on 2026-10-02 (public business details as published on the store's own site):

{
  "domain": "kieljamespatrick.com",
  "platform": "shopify",
  "business_name": "Kiel James Patrick",
  "emails": ["customerservice@kieljamespatrick.com", "info@kieljamespatrick.com", "media@kieljamespatrick.com"],
  "phones": ["+14016194647", "+18886438663"],
  "socials": {},
  "contact_page_url": "https://kieljamespatrick.com/pages/contact-us",
  "category": "clothing_store",
  "city": "Newport",
  "region": "RI",
  "country": "US",
  "data_licences": ["CDLA-Permissive-2.0"],
  "online_store": true,
  "final_url": "https://kieljamespatrick.com/",
  "robots_allowed": true,
  "pages_checked": ["https://kieljamespatrick.com/", "https://kieljamespatrick.com/pages/contact-us"],
  "source": "overture-maps-places",
  "error": null,
  "checked_at": "2026-10-03T04:05:11+00:00"
}

A run summary (candidates checked, leads found, platforms seen and why other sites were not charged) is saved in the run's key-value store as SUMMARY.

Pricing

$5.00 per 1,000 qualified store leads ($0.005 per lead), the same on every Apify plan. You do not pay for the compute the actor uses; the only other charge is Apify's standard start fee of $0.00005 per run (per GB of run memory; the default is 1 GB).

A lead is charged only when all of these are true:

1. the site runs one of the platforms you selected,
2. it offers products for sale (Shopify and BigCommerce sites always count; WooCommerce and Wix sites need products on the homepage or on the shop page it links to, and Squarespace sites a live store, unless you turn Require an online store off; a store plugin with an empty shop does not count),
3. robots.txt allowed every page that was read, and
4. the site publishes at least one business email, phone or social profile (or an email, with Only stores with a business email).

Set Maximum leads (discovery) or Apify's maximum cost per run to cap spend. If a run is restarted by the platform, it resumes where it stopped and never charges a store twice. For comparison as of 2026-10-02, StoreLeads, BuiltWith and Wappalyzer lead lists are sold as monthly subscriptions from $75, $295 and $250 a month.

How it works, and how it respects websites

• Store discovery uses an open, dated dataset (Overture Maps Places), not search-engine scraping, not the Shop app, and no logins.
• For each site the actor first reads robots.txt (RFC 9309, user agent WeioBot). If the homepage is disallowed, nothing else is fetched. Every redirect and every optional page (one contact page, one about page) is checked against robots.txt before it is read. If robots.txt cannot be read because of a server error or rate limit, the site is skipped.
• At most four pages per site are read: the homepage, one shop page (only when needed to confirm products are for sale), a contact page and an about page. No forms, no logins, no customer data, no page text is stored or returned.
• The platform is identified from assets the platform itself serves (for example cdn.shopify.com, WooCommerce plugin files, BigCommerce Stencil), never from a page merely mentioning a platform's name.

Limitations

• Some sites refuse automated requests (HTTP 403 or 429). The actor identifies itself honestly, waits as long as a site asks before one retry, never tries to get around a refusal, and does not charge for refused sites.

• The index comes from a database of physical places, so it favours stores with a shop, studio or showroom. Online-only brands without a listed location are under-represented.

• The index is a monthly snapshot (Overture release 2026-09-23). Every store is checked live at run time, so closed sites and dead domains are skipped and never charged, but they do not count toward your leads either.

• Sites that load their products or contact details only with JavaScript, or that block automated requests, are not recognised as stores or return few details, and are not charged. In an independent check of 24 charged leads, this rule removed the only invalid ones (store plugins with empty shops) at the cost of missing about 1 in 10 real stores whose products load with JavaScript.

• Phone detection targets North American formats; international numbers are found when they appear in tel: links.

Data and responsibility

• Only public pages are read and only role email addresses (info@, sales@ ...) are returned.
• You are responsible for using the results lawfully, including email-marketing and data-protection rules such as CAN-SPAM (real sender, postal address, working opt-out), GDPR and CASL.
• A business that wants its site left out can email sales@weio.ai and we will add it to a skip list; skipped sites are never checked, returned or charged.

Data sources and licences

The discovery index is derived from Overture Maps Places, release 2026-09-23.0, accessed 2026-10-02 (Overture Maps Foundation, overturemaps.org). Weio kept only the website hostname, the Overture category and the country, region and locality (place names only) of each retail place listing a website, dropped closed, low-confidence and chain records and most records whose website is not the business's own (social networks, marketplaces, link pages), and kept only records whose every source licence is CDLA-Permissive-2.0, Apache-2.0 or CC0-1.0. Contact details are not from Overture; they are read live from each store's website. Each row's data_licences lists the licences of the record it came from.

Overture Places source attribution:

• Data from Meta, Microsoft, PinMeTo, Krick, RenderSEO, DAC and BrightQuery. Available under CDLA Permissive 2.0.
• Data from Foursquare. Copyright 2024 Foursquare Labs, Inc. All rights reserved. Available under Apache 2.0. Foursquare data was transformed to the Overture schema. Changed: 2026-03-18. NOTICE.txt. Further changed by Weio on 2026-10-02 as described above.
• Data from AllThePlaces. Available under CC0 1.0.

Foursquare OS Places notice, reproduced in full:

© 2026 Foursquare Labs, Inc. All rights reserved. The Foursquare OS Places dataset (the "Data") is licensed under the Apache License, Version 2.0 (the "License"). You may not use, modify, or distribute the Data except in compliance with the License. As set forth more fully in the License, if you use, modify, or distribute the Data, you must: provide recipients with a copy of the License; if applicable, include prominent notices to the extent you've changed the Data; preserve attribution to Foursquare, including preserving the full content of this NOTICE.txt file. To ensure appropriate attribution to Foursquare, we recommend the following: if using/distributing the Data in flat file form as-is or after making changes/modifications: include this NOTICE.txt file, which may be modified to include an additional notice of your changes/modifications, if any; if using/distributing the Data in API form as-is or after making changes/modifications: include a copy of the content from this NOTICE.txt file prominently in your developer documentation for such API, which may be modified to include an additional notice of your changes/modifications, if any. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0. Unless required by applicable law or agreed to in writing, the Data distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

The full licence texts ship with the actor (LICENSES/, NOTICE.txt). Weio is not affiliated with or endorsed by Overture Maps Foundation, Foursquare or the other data providers, or by Shopify, WooCommerce, BigCommerce, Wix or Squarespace.

Related actors from Weio

• Website Tech Stack Detector: CMS, store platform, analytics, pixels and hosting of a list of websites.
• Website Contact Details Extractor: business emails, phones and social links from any list of websites.
• Domain WHOIS, DNS and Email Security Checker: registration, DNS, MX, SPF and DMARC for a list of domains.

Built and maintained by Weio, Inc. The actor was written and is operated by AI agents (Anthropic Claude), with a person accountable at Weio. Questions and opt-outs: sales@weio.ai.