# Shopify Technographics — Find Stores by App + Leads (`bisketapis/shopify-technographics-leads`) Actor

Reverse app index: give an app (Klaviyo, Recharge, Gorgias…) and get every Shopify store running it — with contacts, app stack, and catalog stats. Poach competitors' merchants; prospect by tech stack.

- **URL**: https://apify.com/bisketapis/shopify-technographics-leads.md
- **Developed by:** [Chris Lucas](https://apify.com/bisketapis) (community)
- **Categories:** E-commerce, Lead generation
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $30.00 / 1,000 qualified stores

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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## Shopify Technographics — Find Stores by App + Leads

**Give an app. Get every Shopify store running it — with contacts.**

Most "tech stack" tools do a *forward* lookup: you give a store, you get its apps. This Actor
does the **reverse index** — the one that actually drives sales:

> "Show me every Shopify store running **Klaviyo** in coffee, with their emails."
> "Show me stores on **Recharge** but **not** my app, so I can pitch the switch."
> "Show me every store running **Gorgias**, with contacts, so I can prospect them."

That inversion is the product. It maps directly onto how app developers and agencies grow.

---

### Who this is for

- **Shopify app developers** — competitive **poaching**: find every store on a rival app and
  pitch them to switch. Find stores missing your category and expand into them.
- **Agencies & SaaS sales teams** — **prospecting**: "stores running Klaviyo in [niche]" =
  qualified, budgeted DTC leads that convert far better than a cold list.
- **Market researchers** — **adoption tracking**: who's gaining share. Re-run monthly; the
  install base churns and new stores launch every month, so the list stays fresh.

### What you get — one row per qualified store

| Field | Example |
|---|---|
| `store_domain` / `brand` | `jenis.com` / `Jeni's Splendid Ice Creams` |
| `apps_matched` | `["Klaviyo"]` — why this store is in your list |
| `apps_detected` | full stack, each with **confidence + evidence**, e.g. `{app: "Gorgias", category: "helpdesk", confidence: "high", evidence: ["host:config.gorgias.chat"]}` |
| `contact_emails` / `contact_phones` / `social_links` | `["contact@jenis.com", …]`, socials |
| `product_count`, `price_min/max/avg` | `98`, `$8.50 / $135 / $53.85` |
| `est_monthly_revenue` | `~$10k-50k/mo (est.)` — a **labeled catalog-size proxy**, not measured revenue |
| `country` / `currency` / `locale` / `theme` | `US` / `USD` / `en-US` / `Dawn` |

### How it works

Pure-HTTP, no browser. For each candidate store we read the **public homepage** and
`/products.json` and match script/CDN hosts + HTML markers against a maintained
**app-fingerprint library**. No login, no private data.

### Two modes

- **`leads`** (default) — the reverse index. Discover stores and filter them by your app query
  (`appsInclude` / `appsExclude` / `matchMode`). Seed discovery with your own `seedDomains`.
- **`enrich`** — forward lookup. Pass `seedDomains` and get each store's full app stack +
  contacts (no filtering). Great for enriching a CRM list.

#### Example input
```json
{ "mode": "leads", "appsInclude": ["Klaviyo"], "appsExclude": ["Omnisend"],
  "niche": "coffee", "minConfidence": "medium", "maxStores": 100, "includeContacts": true }
````

### The fingerprint library (the moat)

\~40 of the highest-value DTC apps across **email, SMS, reviews, subscriptions, upsell,
loyalty, helpdesk, page-builders, popups, search, returns, payments/BNPL**. Each detection
carries a **confidence**:

- **high** — a CDN/host signature fired (e.g. `static.klaviyo.com`). Strongest.
- **medium** — one specific HTML signature.
- **low** — corroboration only.

`minConfidence` (default **medium**) controls what counts toward your query, so your lead
list isn't built on weak signals.

### Honesty (what we will and won't claim)

- We **never** claim an install we can't see. A bare app-name appearing in marketing copy
  (e.g. "Pay with Afterpay") is **not** counted as an install — only a real host/asset
  signature is. Every detection ships its evidence so you can trust it.
- `est_monthly_revenue` is a **clearly-labeled proxy** derived from catalog size × average
  price. It is **not** measured revenue or traffic.
- Contacts are **only addresses the store published** on its storefront (mailto/tel/social).
  We **never** guess `info@domain` patterns. Emails prioritize the store's own domain and drop
  embedded third-party vendor addresses.
- Apps whose footprint only renders on product/cart pages (some reviews/BNPL widgets) may read
  as absent from a homepage-only scan — we'd rather miss one than report a false positive.

### Pricing

Pay-per-event. You're charged only for a **qualified store** that matches your query and is
emitted. Stores that get filtered out or aren't Shopify cost you **nothing**. No upsell events.

### Run it as your own tool (no Apify account)

The same pipeline ships as a local CLI / importable library:

```bash
python -m src.cli --app Klaviyo --niche coffee --max 20
python -m src.cli --app Recharge --exclude Loox --min-confidence high
python -m src.cli --mode enrich --seed deathwishcoffee.com --seed brooklinen.com
```

***

<sub>Built on the Bisket Actor pipeline. Doctrine: [../bisket-apis/PLAYBOOK.md](../bisket-apis/PLAYBOOK.md).
The fingerprint library is finalized from live evidence — see `tools/verify_fingerprints.py`.</sub>

# Actor input Schema

## `mode` (type: `string`):

leads = the reverse index: discover Shopify stores that run the apps you specify, with contacts. enrich = forward lookup: give a list of store domains in 'Seed / enrich domains' and get each store's full app stack.

## `appsInclude` (type: `array`):

Return stores running these apps (e.g. Klaviyo, Recharge, Gorgias). Use exact app names from the fingerprint library. In 'leads' mode this is the core query.

## `appsExclude` (type: `array`):

Drop stores running any of these apps — the competitive 'on X but not Y' poach (e.g. include Klaviyo, exclude Omnisend).

## `matchMode` (type: `string`):

any = the store runs at least one of 'Apps the store MUST run'. all = it runs every one of them.

## `minConfidence` (type: `string`):

Only count app detections at or above this confidence when matching. high = a CDN/host signature fired (strongest). medium = one specific HTML signature. low = corroboration-only. Default 'medium' keeps the lead list clean.

## `niche` (type: `string`):

A niche label recorded on every row (e.g. coffee, skincare). Reserved for marketplace-based niche discovery; it does not filter results in this version.

## `country` (type: `string`):

Keep only stores whose locale resolves to this 2-letter country code (e.g. US, GB). Leave blank for all.

## `minProducts` (type: `integer`):

Drop stores with fewer than this many products in the scanned sample — a proxy for a real, stocked brand. 0 = no minimum.

## `seedDomains` (type: `array`):

In 'enrich' mode: the exact store domains to look up. In 'leads' mode: optional extra domains to add to the discovery universe. Bare domains or full URLs both work.

## `maxStores` (type: `integer`):

Stop after this many stores match your query and are emitted. 0 = no cap (scan the whole discovery universe).

## `includeContacts` (type: `boolean`):

Extract published contact points (emails / phones / social profiles) from each qualified store's homepage. Only addresses the store published are returned — never guessed.

## `productScanPages` (type: `integer`):

How many pages of /products.json (250 products each) to scan per store for catalog price stats + product count. 1 is enough to qualify a lead and keeps runs cheap.

## `requestDelayMs` (type: `integer`):

Politeness delay between paged requests to the same store.

## Actor input object example

```json
{
  "mode": "leads",
  "appsInclude": [
    "Klaviyo"
  ],
  "matchMode": "any",
  "minConfidence": "medium",
  "minProducts": 0,
  "seedDomains": [
    "https://www.deathwishcoffee.com"
  ],
  "maxStores": 100,
  "includeContacts": true,
  "productScanPages": 1,
  "requestDelayMs": 300
}
```

# 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 = {
    "appsInclude": [
        "Klaviyo"
    ],
    "seedDomains": [
        "https://www.deathwishcoffee.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("bisketapis/shopify-technographics-leads").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 = {
    "appsInclude": ["Klaviyo"],
    "seedDomains": ["https://www.deathwishcoffee.com"],
}

# Run the Actor and wait for it to finish
run = client.actor("bisketapis/shopify-technographics-leads").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "appsInclude": [
    "Klaviyo"
  ],
  "seedDomains": [
    "https://www.deathwishcoffee.com"
  ]
}' |
apify call bisketapis/shopify-technographics-leads --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=bisketapis/shopify-technographics-leads",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Shopify Technographics — Find Stores by App + Leads",
        "description": "Reverse app index: give an app (Klaviyo, Recharge, Gorgias…) and get every Shopify store running it — with contacts, app stack, and catalog stats. Poach competitors' merchants; prospect by tech stack.",
        "version": "0.1",
        "x-build-id": "xDoZktghc3Lx5pRqg"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/bisketapis~shopify-technographics-leads/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-bisketapis-shopify-technographics-leads",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/bisketapis~shopify-technographics-leads/runs": {
            "post": {
                "operationId": "runs-sync-bisketapis-shopify-technographics-leads",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/bisketapis~shopify-technographics-leads/run-sync": {
            "post": {
                "operationId": "run-sync-bisketapis-shopify-technographics-leads",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "mode"
                ],
                "properties": {
                    "mode": {
                        "title": "Mode",
                        "enum": [
                            "leads",
                            "enrich"
                        ],
                        "type": "string",
                        "description": "leads = the reverse index: discover Shopify stores that run the apps you specify, with contacts. enrich = forward lookup: give a list of store domains in 'Seed / enrich domains' and get each store's full app stack.",
                        "default": "leads"
                    },
                    "appsInclude": {
                        "title": "Apps the store MUST run",
                        "type": "array",
                        "description": "Return stores running these apps (e.g. Klaviyo, Recharge, Gorgias). Use exact app names from the fingerprint library. In 'leads' mode this is the core query.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "appsExclude": {
                        "title": "Apps the store must NOT run",
                        "type": "array",
                        "description": "Drop stores running any of these apps — the competitive 'on X but not Y' poach (e.g. include Klaviyo, exclude Omnisend).",
                        "items": {
                            "type": "string"
                        }
                    },
                    "matchMode": {
                        "title": "Match ANY or ALL included apps",
                        "enum": [
                            "any",
                            "all"
                        ],
                        "type": "string",
                        "description": "any = the store runs at least one of 'Apps the store MUST run'. all = it runs every one of them.",
                        "default": "any"
                    },
                    "minConfidence": {
                        "title": "Minimum detection confidence",
                        "enum": [
                            "low",
                            "medium",
                            "high"
                        ],
                        "type": "string",
                        "description": "Only count app detections at or above this confidence when matching. high = a CDN/host signature fired (strongest). medium = one specific HTML signature. low = corroboration-only. Default 'medium' keeps the lead list clean.",
                        "default": "medium"
                    },
                    "niche": {
                        "title": "Niche tag",
                        "type": "string",
                        "description": "A niche label recorded on every row (e.g. coffee, skincare). Reserved for marketplace-based niche discovery; it does not filter results in this version."
                    },
                    "country": {
                        "title": "Country filter (2-letter)",
                        "type": "string",
                        "description": "Keep only stores whose locale resolves to this 2-letter country code (e.g. US, GB). Leave blank for all."
                    },
                    "minProducts": {
                        "title": "Minimum product count",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Drop stores with fewer than this many products in the scanned sample — a proxy for a real, stocked brand. 0 = no minimum.",
                        "default": 0
                    },
                    "seedDomains": {
                        "title": "Seed / enrich domains",
                        "type": "array",
                        "description": "In 'enrich' mode: the exact store domains to look up. In 'leads' mode: optional extra domains to add to the discovery universe. Bare domains or full URLs both work.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxStores": {
                        "title": "Max qualified stores",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Stop after this many stores match your query and are emitted. 0 = no cap (scan the whole discovery universe).",
                        "default": 100
                    },
                    "includeContacts": {
                        "title": "Include contacts",
                        "type": "boolean",
                        "description": "Extract published contact points (emails / phones / social profiles) from each qualified store's homepage. Only addresses the store published are returned — never guessed.",
                        "default": true
                    },
                    "productScanPages": {
                        "title": "Product pages to scan",
                        "minimum": 1,
                        "maximum": 20,
                        "type": "integer",
                        "description": "How many pages of /products.json (250 products each) to scan per store for catalog price stats + product count. 1 is enough to qualify a lead and keeps runs cheap.",
                        "default": 1
                    },
                    "requestDelayMs": {
                        "title": "Request delay (ms)",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Politeness delay between paged requests to the same store.",
                        "default": 300
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```