How to get Depop Fashion Listings in Looker Studio

Scrape Depop public listings by search query or category URL - brand, price with currency, sizes, condition, and images. 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 Depop Fashion Listings 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.

{
    "searchQueries": [
        "nike"
    ],
    "categoryUrls": [],
    "maxItems": 5,
    "country": "gb",
    "currency": "GBP"
}

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 listingId, title, brand, price.
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 Looker Studio

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

01
The simplest path is the Google Sheet from the Sheets guide. In Looker Studio, choose Create, Report, then Google Sheets, and pick that sheet.
02
Or upload an export: on a finished run, choose Export, then connect File upload.
03
The weekly schedule from Set up the Apify actor, above, is what keeps the Sheet, and the report, current.

Schema

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

Name	Description	Example
`listingId`	Listing ID	`795984227`
`title`	Title	`Nike Air Force 1 White`
`brand`	Brand	`Nike`
`price`	Price	`45.0`
`originalPrice`	Original price	`45.0`
`currency`	Currency	`GBP`
`sizes`	Sizes	`UK 8`
`condition`	Condition	`used_excellent`
`category`	Category	`footwear`
`scrapedAt`	Scraped at	`2026-09-10T10:00:00+00:00`

listingIdListing ID795984227
titleTitleNike Air Force 1 White
brandBrandNike
pricePrice45.0
originalPriceOriginal price45.0
currencyCurrencyGBP
sizesSizesUK 8
conditionConditionused_excellent
categoryCategoryfootwear
scrapedAtScraped at2026-09-10T10:00:00+00:00