How to get TocToc Chile listings in Power BI

Pull live Chile sale listings from public TocToc search pages: title, CLP price, UF, beds, baths, commune, and listing URL. toctoc.com is one page of it. A run reads that public list and 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 TocToc Chile 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.

{
    "searchPath": "/venta/departamento/metropolitana/santiago",
    "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 id, title, price, currency.
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. id, title, price, currency, priceUf 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
`id`	TocToc property id	`1982996`
`title`	Listing title	`Edificio Rosas 1444`
`price`	Price in Chilean pesos	`128380500`
`currency`	ISO currency	`CLP`
`priceUf`	Price in UF	`3125`
`beds`	Bedroom count on the card	`1`
`baths`	Bathroom count on the card	`1`
`areaM2`	Area text	`29`
`commune`	Commune	`Santiago`
`region`	Region	`Metropolitana`
`propertyType`	Type	`Departamento`
`listingUrl`	Public listing page	`https://www.toctoc.com/venta/departamento/metropolitana/santiago/r_4061d7a340b5f34bf688ec6c1eb1475a8ef0f417`
`sourceUrl`	Search page used	`https://www.toctoc.com/venta/departamento/metropolitana/santiago`
`scrapedAt`	When this run saved the row	`2026-10-03T17:00:00.000Z`

idTocToc property id1982996
titleListing titleEdificio Rosas 1444
pricePrice in Chilean pesos128380500
currencyISO currencyCLP
priceUfPrice in UF3125
bedsBedroom count on the card1
bathsBathroom count on the card1
areaM2Area text29
communeCommuneSantiago
regionRegionMetropolitana
propertyTypeTypeDepartamento
listingUrlPublic listing pagehttps://www.toctoc.com/venta/departamento/metropolitana/santiago/r_4061d7a340b5f34bf688ec6c1eb1475a8ef0f417
sourceUrlSearch page usedhttps://www.toctoc.com/venta/departamento/metropolitana/santiago
scrapedAtWhen this run saved the row2026-10-03T17:00:00.000Z