BrickOwl Parts & Sets

What does BrickOwl LEGO Catalog Scraper do?

Scrape BrickOwl LEGO part and set catalog pages — titles, SKUs, MPN, prices with currency. Search by part number or browse catalog URLs. Export JSON or CSV via Apify API, schedule, or MCP.

Unofficial. This Actor is not affiliated with, endorsed by, or maintained by BrickOwl or the LEGO Group. It reads public catalog pages only.

Dashboards: connect Power BI, Tableau, Looker Studio, or Qlik to the dataset API — see Export to Power BI, Tableau, Looker Studio & Qlik near the end. AI agents: paste this Actor’s Store page URL into an Apify-capable agent (MCP / Claude / Cursor with Apify), create an Apify account and API token once, and the agent can run the Actor and wire up the output.

LEGO market panel: pair with LEGO.com Product Scraper for official MSRP, or Shopify Products Scraper for boutique inventory feeds.

Why use this BrickOwl scraper?

• 🧱 Part-number search (searchQueries) or catalog URL crawl
• 💶 Prices kept with currency
• 🔢 SKU and MPN fields for inventory matching
• 🛡️ Reliable public catalog access

How to scrape BrickOwl catalog pages

1. Open this Actor in Apify Console.
2. Click Start on the prefilled search 3001 (maxItems 5), or set searchQueries / startUrls.
3. Export the dataset, or open the Issues tab on this Store page if a run fails.

{
  "searchQueries": ["3001"],
  "maxItems": 5,
  "proxyType": "none"
}

How much does it cost?

Pay per event (PPE): Actor start + each catalog result row. On Free, results are about $2.10 / 1,000; paid plans are lower (see the Pricing tab).

Input

Field	Description
searchQueries	BrickOwl part numbers or search terms
startUrls	Optional catalog or product URLs
maxItems	Cap on items scraped
proxyType	Optional proxy

Sample output

{
  "title": "LEGO 3001 Brick 2 x 4 Red",
  "sku": "3001",
  "price": 0.12,
  "currency": "USD",
  "url": "https://www.brickowl.com/catalog/...",
  "scrapedAt": "2026-08-25T12:00:00+00:00"
}

FAQ

Do I need a BrickOwl account?

No — public catalog and search pages only. This Actor is unofficial and not affiliated with BrickOwl or the LEGO Group.

Compare BrickOwl vs LEGO.com official prices?

Run LEGO.com Product Scraper on the same set numbers for MSRP comparison.

Can AI agents call this?

Yes — Actor ID bakos_bence/brickowl-catalog via Apify API or MCP.

Related Actors

Actor	Use together when…
LEGO.com Product Scraper	You need official LEGO.com MSRP alongside BrickOwl market prices
Shopify Products Scraper	You monitor Shopify toy/reseller catalogs too
BrickOwl LEGO Catalog Scraper	(this Actor) — part/set catalog with prices

Profile: bakos_bence on Apify.

For AI agents & LLM apps

Paste this Actor’s Apify Store URL into an agent that can use Apify (MCP, Claude, Cursor, etc.). With an Apify account and API token, the agent can set input, run the Actor, and fetch the dataset.

Actor ID: bakos_bence/brickowl-catalog

Minimal input:

{ "searchQueries": ["3001"], "maxItems": 10 }

Export to Power BI, Tableau, Looker Studio & Qlik

After a run, rows live in an Apify dataset. You can download JSON/CSV/Excel from the Dataset tab, or point BI tools at a CSV URL that refreshes when you scrape again.

Prefer the token in the URL (token=) — most tools only need “open this link as CSV”, with no custom headers.

Build a refreshable CSV URL

1. In Apify Console, open Settings → Integrations and copy an API token.
2. Save this Actor as a Task (optional but best for dashboards), run or schedule it once so there is a successful run.
3. Use the latest successful task run URL (replace TASK_ID and YOUR_TOKEN):

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

Or, from any finished run, open the Dataset tab, copy the dataset ID, and use:

https://api.apify.com/v2/datasets/DATASET_ID/items?format=csv&clean=true&token=YOUR_TOKEN

Anyone with that URL can read the data — treat it like a password. For recurring dashboards, prefer the actor-tasks/…/runs/last/… form so refresh always hits the newest successful scrape.

Power BI

1. Open Power BI Desktop → Home → Get data → Web.
2. Paste the CSV URL (including token=).
3. When asked how to sign in, choose Anonymous → Connect.
4. Confirm the preview is a table (CSV). Load or Transform data as needed.
5. Publish / schedule refresh in the Power BI service using the same URL (task runs/last keeps it current after each scrape).

401: token missing/wrong, or you did not pick Anonymous.

Tableau

1. Install Tableau’s REST API connector from Tableau Exchange (Desktop 2023.3+).
2. Connect → To a Server → REST API.
3. Paste the CSV URL (including token=). Set response format to CSV.
4. If the connector asks for auth and the token is already in the URL, leave credentials empty / anonymous; otherwise paste the same token as a Bearer access token.
5. Create an extract. Refresh the extract after scheduled Task runs (or point at runs/last so each refresh loads the latest success).

Plain Text file connect still works if you download CSV from the Dataset tab once — use REST when you want repeatable refresh.

Looker Studio

Looker Studio has no strong built-in “private CSV API” connector. Use Google Sheets as the bridge:

1. Create a Google Sheet. In A1 enter:

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

2. Wait until columns fill (Sheets refreshes IMPORTDATA periodically).
3. In Looker Studio → Create → Report → Google Sheets → select that spreadsheet / tab.
4. Build the report. After each Actor/Task run, refresh the Sheet (or wait for IMPORTDATA) then refresh the Looker data source.

One-off alternative: Dataset tab → download CSV → Looker Studio File upload.

Qlik

REST connector (refreshable):

1. In Qlik Cloud / Qlik Sense → Add data → REST (or create a REST connection in the Data load editor).
2. URL = the CSV URL including token=. Method GET.
3. Set the expected response type to CSV (or use format=json and JSON mode).
4. Test connection, pick the table, Add / Load.
5. Reload the app after scheduled scrapes; with runs/last, each reload pulls the latest successful dataset.

Files: Dataset tab → download CSV → Add data → upload the file (fine for a single snapshot).

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