The SKU-level record of Southeast Asian marketplaces.

Most category questions are really one question asked over two time horizons.

Trend and share come from the maintained monthly panel. A price on a page right now comes from an on-demand fetch. Both run on one API key and one prepaid wallet, so you are not choosing a vendor twice.

Every market and marketplace we can sell you, with the gaps left visible.

Read from the export catalog — the same source that prices and delivers your export, so what you see here is exactly what is buyable. Coverage is not uniform: only Indonesia has all five marketplaces, and history depth varies by market and category.

Latest refresh covers through May 2026. The catalog endpoint returns the same ranges per category — see the quickstart. A dash means we do not sell that combination, not that the marketplace is missing from the region.

Four decisions this data gets bought to make.

Each one names the API that answers it, because the honest answer is sometimes both.

One row is one SKU in one month, with the whole category tree attached.

Real rows from the live dataset — not a mock. Nine of 32 fields shown; every row also carries local-currency pricing, stock, merchant location and the full three-level category tree.

No signup, no email — the sample is a real export of one category-month. Take the CSV to open it in a spreadsheet; take the Parquet if it is going into a warehouse, where it loads faster and lands with its column types already correct.

You see the exact price before anything is charged.

Prepaid credits, billed per row actually returned. Failed and empty queries cost nothing, and a dry-run estimate is always free — so the size of a pull is never a surprise.

Estimate, then export. Two calls.

Bearer auth, one key across both APIs. The estimate returns the exact row count and price and charges nothing, so nobody commits budget to a number they have not seen.

curl -X POST "https://api.magpieiq.com/data/v1/exports" \
  -H "Authorization: Bearer mgk_live_..." -H "Content-Type: application/json" \
  -d '{"country":"ID","category_3":["Facial Serum"],
       "date_from":"2026-01","date_to":"2026-05","estimate":true}'

# same call without estimate:true — returns a job id to poll,
# then signed download links for each category and month.
curl -X POST "https://api.magpieiq.com/data/v1/exports" \
  -H "Authorization: Bearer mgk_live_..." -H "Content-Type: application/json" \
  -d '{"country":"ID","category_3":["Facial Serum"],
       "date_from":"2026-01","date_to":"2026-05","format":"parquet"}'

Scraping jobs follow the same shape against the Scraping API. Every endpoint and parameter is in the reference, and production pipelines — S3, Airflow, warehouse loads — are in the recipes.

Not technical? Point your AI assistant at it and describe what you want.

Plenty of people buying this data run a category, not a data team. You do not need to learn either API — you need an answer. Give Claude, ChatGPT or Cursor your key and the two links below, and it will read the documentation, work out whether the question is a panel question or a live one, price it, and come back with the numbers.

Read https://data.magpieiq.com/llms.txt and the docs at
https://data.magpieiq.com/docs — they cover both Magpie APIs: a monthly
panel for history, and on-demand scraping for live pages.
My Magpie API key is: <paste your key>

Rules: always call the catalog first to see what exists, always run a
dry-run estimate (estimates are free) and show me the row count and
dollar price, and ask me before spending any credits.

What I want: the top 20 skincare brands by GMV on Shopee Indonesia for
the last 6 months, with each brand's market share and average price.
Then scrape the top 3 SKUs and tell me what they cost on their pages
today.

What you can check before you spend anything.

The six things buyers ask before they commit.

More in the full FAQ.