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German Drug Shortage Monitor

How to get German Drug Shortage Monitor in Qlik

Open medicine shortage reports from the German BfArM / PharmNet-Bund public CSV. 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.

  1. 01
    Open German Drug Shortage 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.
  2. 02
    You are on the input form. Keep the sample for this first run.
    {
        "hospitalRelevantOnly": false,
        "maxItems": 5
    }
  3. 03
    Leave the proxy setting as it is. Click Start and wait until the run says Succeeded.
  4. 04
    Open Storage, then Dataset. You should see productName, atcCode, substances, startDate.
  5. 05
    When you want the real list, raise maxItems. The sample cap is only there so the first run stays small.
  6. 06
    Go back to the input and choose Save as a new task. Name it after this list.
  7. 07
    Open the task. Copy the task ID from the address bar. Excel, Sheets, Power BI, and the other guides ask for this ID.
  8. 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.
  9. 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 Qlik

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

  1. 01
    In Qlik, choose Add data, then REST.
  2. 02
    Paste this address. Replace TASK_ID and YOUR_TOKEN.
    https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=json&clean=true&status=SUCCEEDED&token=YOUR_TOKEN
  3. 03
    Load productName, atcCode, substances, startDate, endDate. The weekly schedule from Set up the Apify actor, above, refreshes the URL.

Schema

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

NameDescriptionExample
productNameProduct NameAciclovir AbZ Lippenherpescreme
atcCodeAtc CodeD06BB03
substancesSubstancesAciclovir
startDateStart Date2026-10-15
endDateEnd Date2026-10-15
firstReportDateFirst Report Date2026-10-15
lastReportDateLast Report Date2026-10-15
scrapedAtScraped At2026-09-24T12:00:00.000Z
  • productNameProduct NameAciclovir AbZ Lippenherpescreme
  • atcCodeAtc CodeD06BB03
  • substancesSubstancesAciclovir
  • startDateStart Date2026-10-15
  • endDateEnd Date2026-10-15
  • firstReportDateFirst Report Date2026-10-15
  • lastReportDateLast Report Date2026-10-15
  • scrapedAtScraped At2026-09-24T12:00:00.000Z