Podcast Directory & Episode Scraper (Apple Podcasts)

Podcast Directory & Episode Scraper (Apple Podcasts) pulls structured data from Apple Podcasts directory & podcast RSS feeds and returns it as a clean dataset you can export as JSON, CSV or Excel. It queries the Apple Podcasts directory for podcasts matching a keyword and, for each show, reads the show's public RSS feed to pull recent episode titles and dates, so a media list can be built in a single run.

No API key, no login. Click Start and it works with the prefilled input.

What does Podcast Directory & Episode Scraper (Apple Podcasts) do?

It queries Apple Podcasts directory & podcast RSS feeds and returns one row per record, with only the fields that matter. Runs on the Apify platform, so you get an API endpoint, scheduling, monitoring and integrations (Zapier, Make, Google Sheets, webhooks) without maintaining any infrastructure.

Why use it?

• Apple Podcasts directory & podcast RSS feeds data without the plumbing: no proxy setup, no pagination code, no scraping maintenance.
• Schedule it to monitor changes daily or weekly and trigger alerts on new records.
• Feed it straight into a spreadsheet, database, or an AI agent via the Apify API or MCP server.
• Runs in seconds and returns a typed dataset that is ready for analysis.

How to use it

1. Click Try for free / Start.
2. Leave the default input to see a sample run, or type your own values (see Input below).
3. Press Start and wait a few seconds.
4. Open the Output tab and download as JSON, CSV, Excel or HTML.

Input

Field	Type	Default	Description
query	string	"artificial intelligence"	Keyword, topic or show name to search for in the Apple Podcasts directory.
includeEpisodes	string	"yes"	Read each show's RSS feed and add its most recent episodes to the row. One of: 'yes', 'no'.
episodesPerFeed	integer	3	How many recent episodes to read from each show's RSS feed.
feedLimit	integer	3	Maximum number of shows whose RSS feed is fetched for episodes.
maxResults	integer	25	Maximum number of podcasts to return.

Example input:

{
  "query": "artificial intelligence",
  "includeEpisodes": "yes",
  "episodesPerFeed": 3,
  "feedLimit": 3,
  "maxResults": 5
}

Output

One item per record. Sample:

{
  "podcast_name": "Bloomberg Tech",
  "publisher": "Bloomberg",
  "feed_url": "https://feeds.megaphone.fm/...mp3",
  "genre": "Technology",
  "genres": "Technology | News",
  "episode_count": 620
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data fields

Field	Type	Meaning
podcast_name	string	Podcast
publisher	string	Publisher
feed_url	string	RSS Feed
genre	string	Genre
genres	string	All Genres
episode_count	number	Episodes
country	string	Country
content_advisory	string	Advisory
artwork_url	string	Artwork
apple_url	string	Apple Podcasts
latest_episode_title	string	Latest Episode
latest_episode_date	string	Latest Episode Date
recent_episodes	string	Recent Episodes
episodes_fetched	number	Episodes Read
retrieved_at	string	Retrieved At

How much does it cost to run?

This Actor uses pay-per-event pricing: you pay per result item pushed to the dataset, and nothing for an empty run. Each run is a few seconds of compute, so typical costs are fractions of a cent per run, and the Apify free tier covers plenty of testing.

Tips and advanced options

• Raise maxResults for a bigger pull; the Actor pages through the source for you.
• Schedule it (e.g. every morning) and combine with a webhook to get only the new records.
• Add the Actor to an AI agent through the Apify MCP server for natural-language queries.

FAQ, disclaimers and support

• Is this legal? It uses publicly available data from Apple Podcasts directory & podcast RSS feeds. You are responsible for how you use the data and for complying with the source's terms.
• It returned nothing? Try a broader keyword such as 'technology', 'news' or 'comedy'. Turn episodes off for a faster, metadata-only run.
• Something broken? Open an issue on the Actor's Issues tab. Data sources change and get fixed quickly.
• Need a custom variant (extra fields, a different source, a scheduled report)? Get in touch through the Issues tab.