Apple Podcast Episode Watchlist Scraper avatar

Apple Podcast Episode Watchlist Scraper

Pricing

from $3.00 / 1,000 results

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Apple Podcast Episode Watchlist Scraper

Apple Podcast Episode Watchlist Scraper

Watch podcast RSS feeds for new public episodes and emit release rows with episode metadata, audio links, and source timestamps.

Pricing

from $3.00 / 1,000 results

Rating

0.0

(0)

Developer

太郎 山田

太郎 山田

Maintained by Community

Actor stats

0

Bookmarked

4

Total users

3

Monthly active users

6 hours ago

Last modified

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Podcast operations teams, agencies, and competitive researchers use this actor to turn Public podcast RSS feeds and Apple lookup metadata into a clean dataset for Podcast Sponsor & Contact Suite. Provide focused source inputs, keep the first run small, and expand only after the output shape is useful. Each emitted row includes source context, timestamps, and fields designed for monitoring, QA, research, or workflow handoff.

Store Quickstart

Start with one known feed URL, seed the baseline, then run recurring checks for newly published episodes.

Recommended first run:

{
"rssFeedUrls": [
"https://feeds.npr.org/510289/podcast.xml"
],
"maxEpisodesPerFeed": 5,
"firstRunMode": "emit_all",
"dryRun": false
}

Input examples

Known RSS feed

{
"rssFeedUrls": [
"https://feeds.npr.org/510289/podcast.xml"
],
"maxEpisodesPerFeed": 5,
"firstRunMode": "emit_all",
"dryRun": false
}

Baseline seed

{
"rssFeedUrls": [
"https://feeds.npr.org/510289/podcast.xml"
],
"maxEpisodesPerFeed": 10,
"firstRunMode": "seed_only",
"dryRun": false
}

Small recurring check

{
"rssFeedUrls": [
"https://feeds.npr.org/510289/podcast.xml"
],
"maxEpisodesPerFeed": 3,
"knownEpisodeIds": [],
"dryRun": false
}

Sample output

{
"meta": {
"actorName": "apple-podcast-episode-watchlist",
"actorTitle": "Apple Podcast Episode Watchlist Scraper",
"bundle": "Podcast Sponsor & Contact Suite",
"fetchedAt": "2026-05-06T00:00:00.000Z",
"totalRows": 1
},
"rows": [
{
"actorName": "apple-podcast-episode-watchlist",
"rowType": "new_episode",
"showTitle": "Example Podcast",
"episodeTitle": "Example Episode",
"publishedAt": "2026-05-06T00:00:00.000Z",
"audioUrl": "https://example.com/audio.mp3",
"sourceUrl": "https://example.com/feed.xml",
"fetchedAt": "2026-05-06T00:00:00.000Z"
}
],
"warnings": []
}

Output fields

  • rowType
  • showTitle
  • episodeTitle
  • episodeId
  • publishedAt
  • duration
  • audioUrl
  • 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

$0.001 actor start and $0.003 per new episode row. No-change checks should not write dataset rows.

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.

Compliance guardrails

  • Uses public RSS and Apple metadata only.
  • Does not access private podcast analytics.
  • Use output for monitoring and research workflows.
  • Do not use provider emblems or wording that implies approval by an upstream data provider.

See also

Use these follow-on Actors when you want a capped, decision-ready report instead of more raw rows. They use public or user-provided inputs, respect maxChargeUsd, and do not promise rankings, revenue, conversion lifts, or sales outcomes.