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OpenFDA Recall and Enforcement Monitor

How to get OpenFDA Recall and Enforcement Monitor with the API

Query the public openFDA enforcement API for food, drug, or device recalls with Lucene search filters. 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 OpenFDA Recall and Enforcement 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.
    {
        "dataset": "food",
        "searchQuery": "status:Ongoing",
        "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 recallNumber, productDescription, status, classification.
  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 with the API

  1. 01
    Use the API token from Set up the Apify actor, above.
  2. 02
    Send this request. Replace YOUR_TOKEN. It waits up to 120 seconds.
    curl -X POST "https://api.apify.com/v2/acts/bakos_bence~openfda-recalls/runs?token=YOUR_TOKEN&waitForFinish=120" \
      -H "Content-Type: application/json" \
      -d '{ "dataset": "food", "searchQuery": "status:Ongoing", "maxItems": 5 }'
  3. 03
    From the response, copy defaultDatasetId.
  4. 04
    Fetch the rows. Replace DATASET_ID and YOUR_TOKEN.
    https://api.apify.com/v2/datasets/DATASET_ID/items?format=json&clean=true&token=YOUR_TOKEN
  5. 05
    To repeat it, use the task and the weekly schedule from Set up the Apify actor, above. A scheduled task's newest rows are this URL, with your task id and token:
    https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=json&clean=true&status=SUCCEEDED&token=YOUR_TOKEN
  6. 06
    Anyone with a URL that contains the token can read the rows.

Schema

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

NameDescriptionExample
recallNumberRecall numberF-1234-2024
productDescriptionProduct descriptionFrozen vegetable blend 16 oz bag
statusStatusOngoing
classificationClassificationClass I
reportDateReport date2024-03-15
countryCountryUnited States
sourceUrlSource URLhttps://api.fda.gov/food/enforcement.json?...
scrapedAtScraped at2026-09-09T10:00:00+00:00
  • recallNumberRecall numberF-1234-2024
  • productDescriptionProduct descriptionFrozen vegetable blend 16 oz bag
  • statusStatusOngoing
  • classificationClassificationClass I
  • reportDateReport date2024-03-15
  • countryCountryUnited States
  • sourceUrlSource URLhttps://api.fda.gov/food/enforcement.json?...
  • scrapedAtScraped at2026-09-09T10:00:00+00:00

The same row as JSON

{
  "recallNumber": "F-1234-2024",
  "productDescription": "Frozen vegetable blend 16 oz bag",
  "status": "Ongoing",
  "classification": "Class I",
  "reportDate": "2024-03-15",
  "country": "United States",
  "sourceUrl": "https://api.fda.gov/food/enforcement.json?...",
  "scrapedAt": "2026-09-09T10:00:00+00:00"
}