Shopify Store Scraper — Products, Prices & Owner Emails API

Extract full Shopify product catalogs (/products.json), price ranges, variants, stock status, installed apps (Klaviyo, Judge.me, Yotpo), and merchant emails & phones.

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Why Use shopify-store-leads-products-scraper?

Most basic scrapers only return raw, unverified strings from a single page, forcing you to manually clean data, look up company domains, check DNS records, and hunt for decision-maker emails across multiple tools.

Shopify Store Scraper — Products, Prices & Owner Emails API is a multi-stage B2B intelligence pipeline that automates the entire research and enrichment workflow in a single run:

1. Primary Signal & Entity Extraction: Pulls structured records with high precision and zero headless-browser bloat (~2–4 seconds per batch on minimal 256 MB RAM).
2. Domain Purity & Mockup Filtering: Automatically strips UI placeholder/demo emails (john@doe.com, you@company.com, example.com) and ranks personal decision-maker emails above generic role inboxes (info@, support@, privacy@).
3. Multi-Page Deep Enrichment: Crawls target domains and legal/contact subpages (/, /contact, /about, /impressum, /privacy) in parallel.
4. Live DNS (MX / SPF / DMARC) Verification: Verifies that target domains have active mail servers and classifies their email gateway (Google Workspace, Microsoft 365, Proofpoint, Mimecast).
5. Automation & AI Agent Ready: Works out of the box with n8n, Make.com, Clay, Zapier, Instantly.ai, Smartlead, and as an MCP Server tool inside Claude Desktop, Cursor, and OpenCode.

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Extracted Data Fields

Field	Description
averageProductPrice, minProductPrice, maxProductPrice	Store-wide pricing analytics computed across extracted SKUs.
detectedApps	Installed Shopify marketing/review apps (Klaviyo, Judge.me, Loox, Yotpo, Gorgias, Recharge).
merchantEmails & merchantPhones	Verified store contact emails and cleaned telephone numbers.
socialLinks	Instagram, TikTok, and Facebook storefront links.
products	Array of products with ID, title, handle, vendor, price, compare-at price, availability, SKU, and image URL.

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Step-by-Step Tutorials: How to Use This Actor

Method 1: Run in Apify Console (No Code Required)

1. Click Try for free or open the Input tab in Apify Console.
2. Enter your target parameters (or leave the pre-filled defaults to run an instant test).
3. Click Start at the bottom.
4. Once the status shows Succeeded (typically 2–5 seconds), open the Output or Storage tab to view your results as a clean table, or download them as CSV, Excel (.xlsx), or JSON.

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Method 2: Call via REST API (cURL)

Run the Actor synchronously and receive the enriched JSON dataset rows directly in a single HTTP call:

curl -X POST "https://api.apify.com/v2/acts/fetchie~shopify-store-leads-products-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "stores": [
    "allbirds.com"
  ],
  "maxProductsPerStore": 15
}'

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Method 3: Use in Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
  "stores": [
    "allbirds.com"
  ],
  "maxProductsPerStore": 15
}

run = client.actor("fetchie/shopify-store-leads-products-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

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Method 4: Use in Node.js / TypeScript (apify-client)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('fetchie/shopify-store-leads-products-scraper').call({
  "stores": [
    "allbirds.com"
  ],
  "maxProductsPerStore": 15
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

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Method 5: Connect to n8n, Make.com, Clay, or Claude MCP

• In Clay: Add an HTTP API or Apify enrichment column pointing to fetchie/shopify-store-leads-products-scraper and pass your prospect column into the JSON input body.
• In n8n / Make.com: Use the official Apify — Run an Actor node, select fetchie/shopify-store-leads-products-scraper, and map the output dataset items directly to HubSpot, Salesforce, Pipedrive, Instantly.ai, Smartlead, or Google Sheets.
• In Claude Desktop / Cursor (via Apify MCP): Add https://mcp.apify.com to your MCP configuration and ask your AI agent to run fetchie/shopify-store-leads-products-scraper on your target list.

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Input Example

{
  "stores": [
    "allbirds.com"
  ],
  "maxProductsPerStore": 15
}

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Output Example

{
  "storeDomain": "allbirds.com",
  "isShopifyCatalogAccessible": true,
  "productsExtracted": 15,
  "averageProductPrice": 88.0,
  "minProductPrice": 25.0,
  "maxProductPrice": 115.0,
  "detectedApps": [
    "Yotpo"
  ],
  "merchantEmails": [
    "help@allbirds.com"
  ],
  "merchantPhones": [
    "(424) 363-8064"
  ],
  "socialLinks": {
    "instagram": "https://www.instagram.com/allbirds",
    "tiktok": "https://www.tiktok.com/@allbirds"
  }
}

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Frequently Asked Questions (FAQ)

How is pricing calculated?

This Actor uses Pay-Per-Event (PAY_PER_EVENT) pricing. You only pay a tiny per-result fee for records actually delivered to your dataset, with no monthly subscription lock-in.

Are placeholder or fake emails filtered out?

Yes. Our domain-purity engine automatically removes placeholder addresses (john@doe.com, you@company.com, example.com), image/asset filenames, and third-party tracker strings, and sorts personal decision-maker emails first.

Can I schedule this Actor to run daily or weekly?

Yes. In Apify Console, click Actions → Schedule Actor to run automated daily or weekly monitoring and send new leads directly to a webhook, Slack channel, or CRM.

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Keywords: Shopify scraper, Shopify store leads, e-commerce product scraper, Shopify email extractor, dropshipping spy tool