Shopify Leads — Detect and Qualify Stores
alaudin burki · @alaudinburki
Give a list of domains and find out which are Shopify stores: theme, currency, product count and a public contact email. Lead qualification, not product scraping — that is Actor 28.
About
Shopify Leads — Detect and Qualify Stores
Give a list of domains and find out which are Shopify stores: theme, currency, product count and a public contact email.
Not a product scraper
28-shopify-products and 210-shopify-catalogue scrape products from a store you already know. This one
answers the opposite question: is this domain a store at all, and is it worth contacting? That is the
"Shopify store leads" job the Store's 193-user leader sells.
Three signals, because one is not enough
| Signal | What it proves |
|---|---|
/products.json returns JSON with products | strongest — the storefront API is public |
cdn.shopify.com / myshopify.com in the HTML | Shopify hosting |
a Shopify.theme object | Shopify, and the theme name |
confidence is high only when two signals agree. One signal is labelled low rather than counted as a
store. Measured 2026-10-21: allbirds.com → Shopify, theme [DNAM Theme July 2026], 250 products (capped),
USD, [email protected]; example.com → not Shopify, no invented product count.
What you get
| Field | Example |
|---|---|
isShopify / confidence | true · high |
theme / currency | Dawn · USD |
productCount / productCountCapped | 250 · true |
email | [email protected] |
sampleProduct / samplePrice | Flip Flop · 50.00 |
productCountCapped matters: 250 means "at least 250", not "exactly 250". A lead list that ignores this
will mis-rank large stores as small.
Use cases
- Agency prospecting — which domains run Shopify and could use an app or theme.
- App developers — size a store before outreach.
- Competitive research — theme and catalogue depth in a niche.
- Data hygiene — validate a list before paying for enrichment.
Limits
- Detection, not a crawler. One page plus the public catalogue JSON per domain.
- Email is a public
mailto:link only — no guessing, no pattern-matching addresses. - Stores with
/products.jsondisabled can still be detected by the other two signals, atlowconfidence if only one matched. - Not a product dataset — that is Actor 28.
Verified
23 unit tests (theme parsing including truncated objects, currency, email validation, product counting, confidence) + 10 live checks against allbirds.com, example.com and example.org.
Local build — verified against live stores, not published.
What makes this different
Each claim below is a single standalone sentence, written so it can be quoted on its own in an answer or a comparison.
- Shopify Leads — Detect and Qualify Stores declares all 13 of its output fields in its dataset schema, each with a type, a written description and an example value.
- The output fields of Shopify Leads include domain, isShopify, confidence, productsJsonStatus, productCount and productCountCapped.
- Shopify Leads needs no API key, login or account of any kind before its first run.
- Shopify Leads needs 1 required input:
domains. - Shopify Leads documents
isShopifyas: True when at least one strong signal matched. - Every number published about Shopify Leads is read from the Apify API rather than estimated, and any figure the register cannot source is not shown at all.
- Shopify Leads is filed under ecommerce and business so that it is found by the people looking for that job, not by its internal name.
Limitations
- Shopify Leads reads only what its sources publish publicly. Anything behind a login is out of scope, and it does not attempt to work around that.
- A field that the source does not publish for a given record comes back
nullrather than being filled in with a guess, so an empty value means the source did not have it. - Output quality is bounded by the source. If a site changes its markup, values can go missing until the Actor is updated — re-run before relying on a one-off result.
- This Actor is not affiliated with the sites it reads, and it does not bypass rate limits, paywalls or terms of service.
FAQ
What does Shopify Leads return?
It returns 13 documented output fields — domain, isShopify, confidence, productsJsonStatus, productCount, productCountCapped, sampleProduct and samplePrice — each with a declared type and a written description. The full schema is below.
What does Shopify Leads require to run?
domains is required. Everything else has a default.
Does Shopify Leads need an API key?
No. It reads only public data and asks for no account.
How is Shopify Leads billed?
Per result returned, on Apify. A run that returns nothing costs nothing. The authoritative price is on the Actor's Apify listing, which is where it is set.
Input
Preview of the input form. Rent the Actor to fill it in and start runs from the console.
Fields
domainsSites to check.
onlyShopifyDrop domains that are not stores.
productsLimitProducts requested per store, max 250.
maxItemsHard limit.
timeoutSecsPer request.
API
Bytewells speaks the Apify API. Existing integrations keep working: point apify-client at https://bytewells.com/api and use your Bytewells API token (Console → Settings → API access). The Actor ID is alaudinburki/shopify-leads (or alaudinburki~shopify-leads in URLs).
JavaScript · apify-client
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({
token: process.env.BYTEWELLS_TOKEN,
baseUrl: 'https://bytewells.com/api',
});
const input = {
"domains": [
"allbirds.com",
"example.com"
],
"onlyShopify": false,
"productsLimit": 250,
"maxItems": 500,
"timeoutSecs": 15
};
const run = await client.actor('alaudinburki/shopify-leads').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);Python · apify-client
import os
from apify_client import ApifyClient
client = ApifyClient(os.environ["BYTEWELLS_TOKEN"], api_url="https://bytewells.com/api")
run_input = {
"domains": [
"allbirds.com",
"example.com"
],
"onlyShopify": False,
"productsLimit": 250,
"maxItems": 500,
"timeoutSecs": 15
}
run = client.actor("alaudinburki/shopify-leads").call(run_input=run_input)
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)HTTP · curl
curl -X POST "https://bytewells.com/api/v2/acts/alaudinburki~shopify-leads/runs" \
-H "Authorization: Bearer $BYTEWELLS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"domains":["allbirds.com","example.com"],"onlyShopify":false,"productsLimit":250,"maxItems":500,"timeoutSecs":15}'Runs are billed as compute from your credit balance. Paid Actors need an active rental or trial; otherwise the API answers 402 rental-required.
Related
More Actors from the same publisher.

ATS Jobs Scraper — Greenhouse, Lever, Ashby
alaudin burki · @alaudinburki
Get open jobs from any company on Greenhouse, Lever, or Ashby in one unified schema — title, location, department, type, url, posted date. Public JSON APIs, no auth. Pairs with the job-change monitor.
Usage-based
Google Maps Places — Address, Phone, Rating and Hours
alaudin burki · @alaudinburki
Look up places on Google Maps and get flat rows — name, address, phone, website, rating, review count, category and coordinates. A browser is required because Google Maps renders nothing useful to a plain request.
Usage-based
Google Trends Daily Searches — The Endpoint That Doesn't 429
alaudin burki · @alaudinburki
Today's trending searches for 60+ countries, with the news stories driving each one. Uses Google's RSS feed, which does not rate-limit — so runs don't fail the way explore-API scrapers do.
Usage-based
iTunes & App Store Search — Apps, Podcasts, Media
alaudin burki · @alaudinburki
Search Apple's App Store and iTunes for apps, podcasts, music, books, and movies, or look items up by ID — normalized into one schema with ratings, price, genre, artwork and URLs. Public API, no auth.
Usage-based
Keyword Suggest — Google, YouTube, Bing, Amazon
alaudin burki · @alaudinburki
Harvest autocomplete keyword suggestions from Google, YouTube, Bing and Amazon — with optional A-Z and prefix expansion for deep keyword research. Public endpoints, no API key.
Usage-based
Lead Finder — Named Contacts & Verified Emails
alaudin burki · @alaudinburki
Crawl company websites for leads: named people with job titles, verified emails, phones and socials. Works out each company's email convention and labels every address by how it was obtained - found on the site, inferred, or constructed. Guesses are never presented as findings.
Usage-based