# Shopify Price & Restock Monitor (`shadowell/my-actor`) Actor

Track price drops, restocks and sold-out sizes across up to 20 Shopify product pages. Save a baseline between runs and export variant-level changes and current snapshots. Failed checks preserve the baseline. No login or proxies required.

- **URL**: https://apify.com/shadowell/my-actor.md
- **Developed by:** [FENG JIE](https://apify.com/shadowell) (community)
- **Stats:** 2 total users, 1 monthly users, 33.3% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00 / 1,000 product checkeds

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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Price & Restock Monitor

Check up to 20 Shopify product pages per run. Get price drops, price rises, restocks, sold-out variants and changed variant lists, with a saved baseline for your next run.

### Start

1. Add canonical HTTPS product URLs, for example `https://kith.com/products/jb151186-103`. Remove query parameters and use the final URL after redirects.
2. Keep a watchlist name. The first run saves a baseline and returns current prices and availability; it does not claim a new restock.
3. Run again, or create an Apify schedule with the same product list and name. Use one run at a time for each watchlist. Changed product lists or watchlist names create a separate baseline.
4. Export the dataset as JSON, CSV or Excel. `changes` contains the detected events, `snapshot` contains every returned variant, and `SUMMARY` records successful checks, errors and charge-limit status.

No email or chat messages are sent by this Actor. Use Apify integrations if you want to route the results elsewhere.

### Billing unit

The event `product-checked` represents one successfully checked product page, including all returned variants. Initial baseline checks and unchanged checks count too. Failed checks have no billable event. The current price, when enabled, is shown on the Actor's Pricing tab. Platform usage still applies during private testing before event pricing is enabled.

### Limits

- Public Shopify Ajax product data only. No login, proxies, CAPTCHA solving or store modifications.
- Redirects, inaccessible pages, uncertain currencies and incomplete responses return errors and preserve the prior baseline.
- Products with 250 or more returned variants are rejected because the public endpoint may truncate them.
- Prices reflect the storefront currency observed from the execution region, not necessarily the shopper's region. Currency changes are flagged separately; no currency conversion is inferred.
- Availability is a boolean, not inventory quantity. A missing variant is reported as missing, not sold out.
- Concurrent runs of the same watchlist are not supported. Retrying after interrupted delivery can repeat a result; downstream notifications should deduplicate if needed.
- This is an early version. Successful execution does not imply exhaustive coverage of every Shopify store.

Local prototype: `python3 run.py URL --state state.json --output report.json`. In Fake-IP network environments, add `--https-dns`. Tests: `python3 -m unittest discover -v`.

# Actor input Schema

## `productUrls` (type: `array`):

Enter 1 to 20 canonical HTTPS Shopify product URLs. Use the final URL shown in your browser, without query parameters. All returned variants are checked.

## `watchlistName` (type: `string`):

Keep this name and product list unchanged across scheduled runs to reuse your baseline. Use letters, digits, hyphens or underscores (up to 40 characters).

## Actor input object example

```json
{
  "productUrls": [
    "https://kith.com/products/jb151186-103"
  ],
  "watchlistName": "default"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `summary` (type: `string`):

No description

# 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 = {
    "productUrls": [
        "https://kith.com/products/jb151186-103"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("shadowell/my-actor").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 = { "productUrls": ["https://kith.com/products/jb151186-103"] }

# Run the Actor and wait for it to finish
run = client.actor("shadowell/my-actor").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 '{
  "productUrls": [
    "https://kith.com/products/jb151186-103"
  ]
}' |
apify call shadowell/my-actor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,shadowell/my-actor"
        }
    }
}
```

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/6A12CEyHsYa1UokXt/builds/Mr6CWs2G5bs6dpjOd/openapi.json