Podcast Search & Episodes Scraper

Search podcasts and pull podcast RSS episodes — audio URLs, durations, publish dates and full descriptions — with no API key and no quota.

Shows come from the Apple Podcasts directory; episodes come from each show's own RSS feed, so you get everything the publisher puts out.

How to use

1. Sign up for Apify — the free plan's monthly credit is enough to try this Actor.
2. Open Podcast Scraper, fill in the input (the form is pre-filled with a working example) and click Start.
3. Watch results stream into the dataset table while the run is going.
4. Export as JSON, CSV, Excel, XML, HTML or RSS — or pull the results from your own code with the Apify API.

What can you use this for?

• Build a podcast database — search a topic, get the shows and their back catalogue.
• Feed a transcription pipeline — every episode row has a direct audioUrl.
• Track competitors or guests — episodeKeywords filters by title and description.
• Watch for new episodes — onlyNewEpisodes on a daily schedule.

How to find podcasts and episodes

Field	What it does
searchQueries	Topics, show names or hosts
feedUrls	Or specific shows: Apple Podcasts URLs or direct RSS feeds
country	Which Apple store to search
maxPodcastsPerQuery, maxEpisodesPerPodcast	Limits (episodes 0 = show details only)
publishedAfter, episodeKeywords	Episode filters
onlyNewEpisodes	Monitoring mode

Input reference

Every option at a glance. A minimal input that works as-is:

{
  "searchQueries": [
    "true crime"
  ],
  "country": "US",
  "maxPodcastsPerQuery": 10,
  "maxEpisodesPerPodcast": 20,
  "includePodcastRow": true,
  "maxResults": 1000
}

All fields:

• searchQueries (Search podcasts) — Topics, show names or hosts — “true crime”, “startup”, “Lex Fridman”.
• feedUrls (Or specific podcasts) — Apple Podcasts URLs (…/id1322200189) or direct RSS feed URLs.
• country (Store country) — Two-letter country code for the Apple directory, e.g. US, GB, KR. Default "US".
• maxPodcastsPerQuery (Max podcasts per search) — How many shows to take for each search term. Default 10.
• maxEpisodesPerPodcast (Max episodes per podcast) — Set to 0 to return only the show details. Default 20.
• includePodcastRow (Include a row per podcast) — Adds one row with the show details (publisher, genre, episode count, artwork). Default true.
• publishedAfter (Episodes published after) — YYYY-MM-DD.
• episodeKeywords (Only episodes containing) — Keep only episodes whose title or description contains one of these words.
• onlyNewEpisodes (Only new episodes) — Monitoring mode. Returns only episodes published since the last run — ideal on a daily schedule. Default false.
• maxResults (Max results) — Total limit. Default 1000.

What the podcast output looks like

Rows are marked recordType: "podcast" or "episode":

{
  "recordType": "episode",
  "podcastId": "1322200189",
  "podcastTitle": "Crime Junkie",
  "publisher": "Audiochuck",
  "feedUrl": "https://feeds.simplecast.com/qm_9xx0g",
  "episodeTitle": "MURDERED: Marina Ramos",
  "episodeId": "c3c285c3-0e8a-43ff-8962-b891695c7b4e",
  "publishedAt": "2026-09-21T07:00:00.000Z",
  "durationSeconds": 2981,
  "episodeNumber": null,
  "seasonNumber": null,
  "explicit": false,
  "description": "In 1989, a woman is found brutally murdered in Mohave County, Arizona. Decades later, a detective identifies her as Marina Ramos, and discovers that her two young children disappeared with her. Severa…",
  "audioUrl": "https://tracking.swap.fm/track/fxUKVg2nSMaPSHLeKNKH/pscrb.fm/rss/p/dts.podtrac.com/redirect.mp3/rsv.simplecastaudio.com/ec74d48c-cbf1-4764-923e-7d584dce50fa/episodes/8b7e92d8-4a45-4c78-85af-329290ad956f/audio/128/default.mp3?aid=rss_feed&awCollectionId=ec74d48c-cbf1-4764-923e-7d584dce50fa&awEpisodeId=8b7e92d8-4a45-4c78-85af-329290ad956f&feed=qm_9xx0g",
  "audioType": "audio/mpeg",
  "audioBytes": 47697963,
  "episodeUrl": "https://crimejunkiepodcast.com/",
  "imageUrl": "https://image.simplecastcdn.com/images/a2c06945-9e6f-4f67-af63-6487de3bffa4/8d602204-102b-442c-9ce1-e5f22b7ab5ba/3000x3000/cropped_1789143770714.jpg?aid=rss_feed",
  "scrapedAt": "2026-09-21T07:21:50.365Z"
}

How fast is it and what does it cost?

3 shows with 10 episodes each took 4 seconds.

Pricing — what you pay per record

This Actor uses pay-per-event pricing: no monthly rental, you pay for the results you get. Prices per 1,000 results by Apify plan:

Event	Free plan	Bronze	Silver	Gold+
record — One podcast or episode with audio URL, duration and description	$0.80	$0.72	$0.68	$0.64

There is also a small start fee of $0.00005 per GB of memory ($0.00005 per run at the default 1 GB). Platform compute is included in the price — you are not billed separately for run time. Set a maximum total charge on the run if you want a hard cap, and use the input limits to control how much is fetched. The current prices are always on the Pricing tab.

Tips

• Start with a small maxResults (say 20) to check the output, then raise it — you only pay per result.
• For ongoing tracking, schedule the Actor and turn on onlyNewEpisodes so each run returns only what is new.
• Rows the Actor cannot read are logged and skipped, never charged — check the run log if a count looks low.

Automate & schedule

Run this Actor on autopilot and pull results into your own stack:

• Apify API — start runs, fetch datasets and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python — official SDKs.
• Schedules — run it on a cron to keep your data fresh.
• Webhooks — trigger downstream actions the moment a run finishes.

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });
const run = await client.actor('tindacloud/podcast-search-scraper').call({
    "searchQueries": [
        "true crime"
    ],
    "country": "US",
    "maxPodcastsPerQuery": 10,
    "maxEpisodesPerPodcast": 20,
    "includePodcastRow": true,
    "maxResults": 1000
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} records`);

Python

from apify_client import ApifyClient

client = ApifyClient("MY_APIFY_TOKEN")
run = client.actor("tindacloud/podcast-search-scraper").call(run_input={
    "searchQueries": [
        "True crime"
    ],
    "country": "US",
    "maxPodcastsPerQuery": 10,
    "maxEpisodesPerPodcast": 20,
    "includePodcastRow": True,
    "maxResults": 1000
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

cURL — run and get the results in one request:

curl -X POST "https://api.apify.com/v2/acts/tindacloud~podcast-search-scraper/run-sync-get-dataset-items?token=MY_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchQueries": ["true crime"], "country": "US", "maxPodcastsPerQuery": 10, "maxEpisodesPerPodcast": 20, "includePodcastRow": true, "maxResults": 1000}'

Integrate with any app

Connect the dataset to thousands of apps — no code required:

• Make — multi-step automation scenarios.
• Zapier — push new records straight into your CRM or sheet.
• n8n — self-hosted workflows.
• Slack — get notified when a run finishes or finds something new.
• Google Drive / Sheets — auto-export every run to a spreadsheet.
• Airbyte — pipe results into your data warehouse.
• GitHub — trigger runs from commits or releases.
• Webhooks — call your own endpoint when a run succeeds or fails.

Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. Call this Actor from Claude, ChatGPT, Cursor or any agent framework through the Apify MCP server — ask your assistant to "find podcasts about personal finance and list their latest episodes with audio links" and let it run this Actor for you.

Agent-ready: autonomous payments (x402 & Skyfire)

This Actor is agent-ready — AI agents can discover it, run it and pay for it on their own. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic payments:

• x402 — an open, HTTP-native payment protocol. Agents pay in USDC through the Apify MCP server — no Apify account needed.
• Skyfire — agent-to-service payments with pre-funded Skyfire tokens.

Building an AI agent, MCP tool or data pipeline? This Actor is ready to plug in and pay as it goes.

Ready-made examples

Open one, change the fields, press Start — nothing to configure:

• Find podcasts and download episode list
• Podcast RSS episodes downloader
• Find new episodes of podcasts you follow

Frequently asked questions

Do I need an API key or a login?

No. Paste your input, press Start. There is nothing to connect and no account on the target site to create.

How do I export the results?

Every run produces a dataset you can download as JSON, CSV, Excel, XML or HTML, or read through the Apify API from your own code. You can also connect it to Make, Zapier or n8n.

Can I run this on a schedule?

Yes. Apify schedules run it every hour, day or week without you being there. With the monitoring option on, you only get episodes published since the last run.

Can I call it from Python or JavaScript?

Yes — the Apify API runs any Actor and returns the dataset, and the official Python and JavaScript clients wrap it in a few lines. AI agents can call it too, through Apify's MCP server.

What does it cost?

You pay per result, not per hour. Filters are applied before anything is charged, so narrowing the input directly lowers the bill. Pages that cannot be read are reported in the log and never charged.

Is this data public?

Everything collected here is what Apple Podcasts and RSS feeds shows to anyone without logging in. Check the target site's terms and the rules that apply to you before using the data commercially.

Related scrapers

• YouTube Transcripts & Video Data — transcripts with timestamps
• YouTube Channel Stats & Videos — subscribers and video performance
• Google News Scraper — articles with the real source URL

Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Apple Inc.. All trademarks mentioned are the property of their respective owners. "Apple Podcasts" is named here only in a descriptive sense — to identify the publicly available website this Actor reads. It collects only publicly available information that anyone can see without logging in; you are responsible for making sure your use of the data complies with applicable laws, regulations and the terms of the source website.