Apple Podcasts Scraper

Podcast marketers, networks, agencies, and research teams use this actor to discover public podcast shows and metadata. Input an Apple search term, chart request, lookup ID, or public RSS-oriented query. Output source-linked show, chart, and episode rows that can feed a benchmark, evidence report, or shortlist export.

Run the next report

Use this actor for focused discovery, then move into the proven Apple Podcasts workflow:

• Review public listener feedback when reputation and rating evidence is the next decision.
• Track chart movement when rank and change evidence is the next decision.
• Build a media buyer shortlist when the next output is a ranked set of shows by topic, country, cadence, and public fit signals.

These follow-on actors use public podcast and RSS surfaces. Start with a small discovery set, then pass the useful public source URLs or search terms into one report workflow.

Store Quickstart

Low-cost discovery

Start with one search term and one country. This keeps the initial source check small; use the returned show IDs or source URLs in the Reviews, Chart, or Media Buyer workflow above.

Recommended first run:

{
  "searchTerm": "technology",
  "country": "us",
  "limit": 3,
  "includeEpisodes": false
}

High-value follow-on reports

This actor remains the low-cost source step. The linked Reviews and Chart actors provide the next evidence/report step, while the Media Buyer actor provides the shortlist/export deliverable. Their Store pages are the pricing source of truth for those value events.

See docs/value-path-sample.json for the low-cost discovery input and the three follow-on routes.

Input examples

Search quickstart

{
  "searchTerm": "technology",
  "country": "us",
  "limit": 3,
  "includeEpisodes": false
}

Chart rank check

{
  "chartRequests": [
    {
      "country": "us",
      "feedType": "podcasts",
      "limit": 25
    }
  ],
  "includeEpisodes": false
}

Watchlist refresh

{
  "lookupIds": [
    "290783428"
  ],
  "includeEpisodes": true
}

Sample output

This is a discovery-row example. It is intentionally smaller than the report, evidence, and export outputs produced by the linked follow-on actors.

{
  "meta": {
    "actorName": "apple-podcast-scraper",
    "actorTitle": "Apple Podcasts Scraper",
    "bundle": "Podcast Research & Media Planning Pack",
    "fetchedAt": "2026-05-06T00:00:00.000Z",
    "totalRows": 1
  },
  "rows": [
    {
      "actorName": "apple-podcast-scraper",
      "rowType": "podcast_search_result",
      "collectionId": 290783428,
      "showName": "Example Podcast",
      "publisher": "Example Network",
      "country": "us",
      "rank": null,
      "sourceUrl": "https://podcasts.apple.com/us/podcast/planet-money/id290783428",
      "fetchedAt": "2026-05-06T00:00:00.000Z"
    }
  ],
  "warnings": []
}

Output fields

• rowType
• collectionId
• showName
• publisher
• country
• rank
• episodeTitle
• sourceUrl
• fetchedAt

Rows also include source URLs, fetch timestamps, warnings when a source is partial, and stable IDs when the workflow supports recurring change detection.

Pricing and no-change runs

$0.005 actor start and $2.50 per 1,000 dataset results ($0.0025 per row). The recommended 3-result first run costs about $0.005 + 3 x $0.0025 = $0.0125. Empty no-change watchlist runs should avoid dataset writes.

The default dataset is the billable surface. Dry runs, validation-only runs, missing-key warnings, and unchanged recurring polls should not write payable default-dataset rows.

Use this actor for low-cost discovery and source validation. The linked Reviews, Chart, and Media Buyer actors have separate report and export events; their Store pages are the pricing source of truth for those deliverables.

Compliance guardrails

• Uses public Apple and RSS endpoints; it is not affiliated with or endorsed by Apple.
• Does not require account sessions, browser automation, or private podcast dashboards.
• Use output for research, ranking analysis, and monitoring workflows.
• Do not use provider emblems or wording that implies approval by an upstream data provider.

See also

The three routes above cover review evidence, chart movement, and shortlist workflows for discovered shows. Reach the sponsor evidence report from the Reviews or Chart actor after a public signal is worth investigating.

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