How to get Shopify Catalog Change Monitor in Power BI

Monitor public Shopify stores through products.json and emit product rows with changeType so scheduled runs can alert on new SKUs, price moves, and stock flips. A run saves one row per result.

Set up the Apify actor

Apify is where this run is collected. An actor is the program that collects the rows. A task is that program saved with your settings, so the next section can ask for the latest rows. You need a free Apify account.

01
Open Shopify Catalog Change Monitor and click Try for free. Create an Apify account if you do not have one. The Free plan does not ask for a card.

You are on the input form. Keep the sample for this first run.

{
    "storeUrls": [
        "https://allbirds.com"
    ],
    "emitChangesOnly": false,
    "maxItems": 5
}

03
Leave the proxy setting as it is. Click Start and wait until the run says Succeeded.
04
Open Storage, then Dataset. You should see storeUrl, productId, title, priceAmount.
05
When you want the real list, raise maxItems. The sample cap is only there so the first run stays small.
06
Go back to the input and choose Save as a new task. Name it after this list.
07
Open the task. Copy the task ID from the address bar. Excel, Sheets, Power BI, and the other guides ask for this ID.
08
On the task, open Schedules and add a weekly run if you want fresh rows. Each run pays the start charge and the charge for the rows. The amounts are in the price list on this page.
09
Open Settings, then API & Integrations, and copy an API token. Excel, Sheets, and the other guides put this token in a download link. Anyone with that link can download the rows, so treat it like a password.

How to set up in Power BI

Use the task ID and the API token from Set up the Apify actor, above.

01
In Power BI Desktop, choose Home, Get data, Web.

Paste this address. Replace TASK_ID and YOUR_TOKEN. Choose Anonymous, then Connect.

https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=json&clean=true&status=SUCCEEDED&token=YOUR_TOKEN

03
Load the rows. storeUrl, productId, title, priceAmount, currency are the columns to keep.
04
After you publish, refresh against that same URL. The weekly schedule from Set up the Apify actor, above, is what puts a new dataset behind the URL.

Schema

Examples come from the actor sample, not a live result.

Name	Description	Example
`storeUrl`	Store homepage URL	`https://allbirds.com`
`productId`	Shopify product id	`7340901859408`
`title`	Product title	`Women's Allbirds Flip Flop - Dusty Pink`
`priceAmount`	Lowest variant price	`25.0`
`currency`	Shop currency from meta.json	`USD`
`available`	Any variant in stock	`true`
`changeType`	baseline, new, price_changed, availability_changed, or removed	`baseline`
`productUrl`	Product URL	`https://allbirds.com/products/womens-allbirds-flip-flop-dusty-pink`
`scrapedAt`	When this row was scraped	`2026-09-29T12:00:00+00:00`

storeUrlStore homepage URLhttps://allbirds.com
productIdShopify product id7340901859408
titleProduct titleWomen's Allbirds Flip Flop - Dusty Pink
priceAmountLowest variant price25.0
currencyShop currency from meta.jsonUSD
availableAny variant in stocktrue
changeTypebaseline, new, price_changed, availability_changed, or removedbaseline
productUrlProduct URLhttps://allbirds.com/products/womens-allbirds-flip-flop-dusty-pink
scrapedAtWhen this row was scraped2026-09-29T12:00:00+00:00