Shopify Store Intelligence / Lead Builder

Production-oriented Apify Actor that inspects public Shopify storefront signals and emits one intelligence row per store.

What it collects

• Store URL and domain
• Shopify detection status, confidence, and supporting signals
• Public /products.json availability and product summary
• SKU count, sample products, categories, price range, currency
• Public sold-out or out-of-stock signals
• Contact emails, phones, and contact page URLs
• Social profiles
• Newsletter or email capture hints
• Visible analytics and ad pixel hints
• Public app/script and technology hints
• Shipping and return clues
• B2B or wholesale pitch triggers

Public-data compliance

• Uses public storefront pages and public endpoints only
• Uses /products.json when publicly available
• Avoids login, account, checkout, cart actions, admin paths, and private APIs
• Designed for lead building and storefront intelligence from publicly visible data

Input

The actor accepts domains or startUrls, plus crawl limits.

{
  "domains": ["example-store.com"],
  "startUrls": [{ "url": "https://example-store.com" }],
  "maxStores": 10,
  "maxRequestsPerStore": 12,
  "maxProducts": 250,
  "requestTimeoutSecs": 20
}

See .actor/input_schema.json and examples/sample-input.json.

Output

The actor writes one dataset item per store.

Key fields:

• domain, url
• shopifyDetected, shopifyConfidence, shopifyScore, shopifySignals
• productsJsonAvailable, productCount, skuCount, sampleProducts, categories
• priceMin, priceMax, currency
• soldOutSignals
• contactEmails, contactPhones, contactPages
• socialLinks
• newsletterHints
• analyticsPixels
• appScriptHints, technologyHints
• shippingReturnClues
• b2bPitchTriggers
• pagesVisited, errors

See examples/sample-output.json.

Local development

Install dependencies:

$npm install

Run smoke tests:

$npm test

or:

$npm run smoke

Run locally with Apify CLI input:

$npx --yes apify-cli run --purge --input-file examples/sample-input.json

Example INPUT.json:

{
  "domains": ["example-store.com"],
  "maxStores": 1,
  "maxRequestsPerStore": 8,
  "maxProducts": 100
}

Dataset output is written to local Apify storage.

Apify build and publish workflow

Run locally through Apify CLI:

$npx --yes apify-cli run --purge --input-file examples/sample-input.json

Push source and wait for the Apify build to finish after authenticating:

$npx --yes apify-cli push --wait-for-finish 600

If using a token in CI or a headless shell:

export APIFY_TOKEN=<your Apify API token>
npx --yes apify-cli push --wait-for-finish 600 --json

This repo does not publish automatically.

Implementation notes

• Detection combines public Shopify HTML, CDN, script, theme, and /products.json signals
• Product intelligence is derived from public products.json payloads when available
• HTML extraction inspects home, contact/about, policy, collection, product, and sitemap-discovered public pages within request limits
• Smoke tests are deterministic and offline: they use static HTML, XML, and JSON fixtures instead of live network access