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URL: https://apify.com/taroyamada/apple-podcast-episode-watchlist

⇱ Apple Podcast Episode Watchlist Scraper Β· Apify


πŸ‘ Apple Podcast Episode Watchlist Scraper avatar

Apple Podcast Episode Watchlist Scraper

Pricing

from $3.00 / 1,000 results

Go to Apify Store

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

πŸ‘ naoki anzai

naoki anzai

Maintained by Community

Actor stats

0

Bookmarked

4

Total users

1

Monthly active users

20 days ago

Last modified

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βœ… Reliability note (June 2026): Infrastructure upgraded June 2026 β€” any run failures from an account capacity limit in early May 2026 are fully resolved. Runs are now stable. If you tried this actor in early May and hit a failure, please give it another run β€” it works smoothly now.

After this run

Turn this Actor's output into a capped paid report with Podcast Sponsor Public Signal Report. Use it when podcast growth, sponsorship, and B2B research teams need to decide whether a public podcast has sponsor or business signals worth researching further.

  • First report: $9 / sponsor_signal_snapshot; set maxChargeUsd to $9.
  • Deeper report: $29 / show_sponsor_fit_report; use only when the first result needs competitor or action-depth.
  • This is an internal Apify flow aid. It is not revenue proof until accounted paid usage appears.

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

Related report Actors

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.

Related paid report workflows

If this Actor gave you raw rows or source context, these follow-on report Actors are designed for a small capped paid run. They help make a decision, not just collect more data.

  • Podcast Sponsor Public Signal Report - decide whether a public podcast has sponsor or business signals worth researching further. Entry $9 / sponsor_signal_snapshot; premium $29 / show_sponsor_fit_report.

Keep maxChargeUsd equal to the selected tier. Internal links are traffic aids only; real proof requires accounted paid usage.

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