# Shopify Store Contact Finder – Emails, Phones & Socials (`anatolia-data/shopify-store-contacts`) Actor

Turn a list of Shopify stores into leads: public emails, phone numbers, Instagram, TikTok, Facebook and more, plus country and currency. You only pay for stores where contacts are found.

- **URL**: https://apify.com/anatolia-data/shopify-store-contacts.md
- **Developed by:** [Oğulcan Katmer](https://apify.com/anatolia-data) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 store leads

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Shopify Store Contact Finder – Emails, Phones & Socials

Paste a list of Shopify stores and get back one clean lead row per store: **email, phone, Instagram, TikTok, Facebook, X, YouTube, Pinterest, LinkedIn**, plus the store's country, city, currency and product count.

**You only pay for stores where at least one contact is found.** Stores that are offline, blocked or have nothing public are returned free, with the reason.

No login, no API key. It reads only what each store publishes on its own public pages.

### Who uses it

- **Agencies and freelancers** building outreach lists of Shopify merchants
- **App and SaaS makers** selling to Shopify stores
- **Brands and wholesalers** looking for retailers and stockists
- **Influencer and affiliate teams** finding a store's Instagram and TikTok in bulk
- **Researchers** enriching a list of stores with country and currency

### What you get — one row per store

| Field | Description |
|---|---|
| `primaryEmail`, `emails` | Best inbox first — the store's own domain and general inboxes (hello@, info@, support@) are ranked above press or personal addresses |
| `primaryPhone`, `phones` | Numbers from call links, structured data and contact pages, de-duplicated |
| `instagram`, `tiktok`, `facebook`, `twitter`, `youtube`, `pinterest`, `linkedin`, `threads`, `snapchat`, `whatsapp`, `telegram` | The store's own profile per network — share buttons and single posts are filtered out |
| `address` | Postal address when the store publishes one in structured data |
| `storeName`, `country`, `city`, `currency` | From Shopify's public store profile |
| `isShopify`, `myshopifyDomain` | Confirms the platform |
| `publishedProductCount` | Catalogue size — a quick way to size a lead |
| `contactPageUrl`, `pagesScanned` | Where the details came from, so you can check them |
| `contactChannels`, `hasContactInfo` | How reachable the store is |
| `status`, `error` | `ok`, `no-contacts-found` or `unreachable`, with the reason |

Every field is flat, so the CSV and Excel exports open cleanly.

#### Example row

```json
{
    "storeName": "Death Wish Coffee",
    "storeDomain": "deathwishcoffee.com",
    "primaryEmail": "hey@deathwishcoffee.com",
    "primaryPhone": "(518) 400 1050",
    "instagram": "https://instagram.com/deathwishcoffee",
    "facebook": "https://facebook.com/deathwishcoffee",
    "twitter": "https://twitter.com/deathwishcoffee",
    "youtube": "https://youtube.com/channel/UC1uurJMded2rRJioe8yka7g",
    "country": "US",
    "currency": "USD",
    "isShopify": true,
    "contactChannels": 6,
    "status": "ok"
}
```

### How to use it

1. Paste your stores into **Stores**, one per line. `deathwishcoffee.com` is enough.
2. Click **Start**.
3. Download the results as CSV, Excel or JSON.

Have thousands of stores in a file? Use **Store URLs (list or file)**, or pass them in through the API.

### How it works

For each store it opens the homepage, picks the most promising pages linked from it — contact, imprint, about, help, FAQ — and reads them. Emails come from mailto links, visible text, structured data and Cloudflare-protected addresses; scripts and tracking code are ignored so you do not get analytics or error-reporting addresses. It follows each store's robots.txt and skips pages the store asks bots not to visit.

**Pages to check per store** (default 5) sets how deep it looks. Most stores put their details in the footer or on the contact page, so the default finds them quickly and cheaply.

### Pricing

Pay per result: you are charged once for each store **where at least one email, phone or social profile is found**. Stores with nothing to return cost nothing.

### Pairs well with

**[Shopify Store Scraper with Catalogue Analytics](https://apify.com/anatolia-data/shopify-store-scraper)** — once you have a store's contacts, pull its full catalogue with prices, stock and launch-cadence numbers.

### Good to know

- Only publicly listed contact details are collected. Stores that show just a contact form will return their social profiles and store details, but no email.
- You are responsible for how you use the data. Follow the anti-spam and data-protection rules that apply to you (for example CAN-SPAM or GDPR) when you contact the stores.
- Works on most non-Shopify shops as well; the Shopify-only fields are left empty for them.

# Actor input Schema

## `storeUrls` (type: `array`):

One store per line. A bare domain is enough — deathwishcoffee.com. Any page of the store works; it is reduced to the homepage automatically. Works best on Shopify stores, and on most other online shops too.

## `startUrls` (type: `array`):

Same as above, for long lists loaded from a file or passed from another Actor, such as the Shopify Store Scraper.

## `maxPagesPerStore` (type: `integer`):

The homepage plus the most promising pages linked from it — contact, imprint, about, help, FAQ. 5 finds contacts on most stores; raise it for stores that hide their email deep in help pages.

## `includeShopifyDetails` (type: `boolean`):

For Shopify stores, also read the public store profile: official name, country, city, currency, .myshopify.com domain and number of published products. One extra request per store, no extra charge.

## `onlyWithContacts` (type: `boolean`):

Leave out stores where nothing was found or the site could not be loaded. Those rows are free either way — this just keeps your export clean.

## `proxyConfiguration` (type: `object`):

Apify Proxy is recommended when checking many stores at once.

## `maxConcurrency` (type: `integer`):

How many pages are loaded at once across all stores.

## Actor input object example

```json
{
  "storeUrls": [
    "deathwishcoffee.com",
    "beardbrand.com"
  ],
  "startUrls": [],
  "maxPagesPerStore": 5,
  "includeShopifyDetails": true,
  "onlyWithContacts": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "maxConcurrency": 10
}
```

# Actor output Schema

## `leads` (type: `string`):

One row per store: emails, phones, social profiles, country, currency and status.

## `overview` (type: `string`):

Open the dataset in a table view.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "storeUrls": [
        "deathwishcoffee.com",
        "beardbrand.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("anatolia-data/shopify-store-contacts").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "storeUrls": [
        "deathwishcoffee.com",
        "beardbrand.com",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("anatolia-data/shopify-store-contacts").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "storeUrls": [
    "deathwishcoffee.com",
    "beardbrand.com"
  ]
}' |
apify call anatolia-data/shopify-store-contacts --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,anatolia-data/shopify-store-contacts"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/FtYJHDrpvETKS2eKh/builds/uQ4BIzh2raUEGDaRc/openapi.json