Podcast intelligence · Apple Podcasts · 2026年9月6日
894,540 crawled public Apple Podcasts show records — episode count, genre, real RSS feed URL, discovery storefront and content rating — queryable over one REST API. Filter by genre, storefront, explicitness or episode count; sort by chart rank or episode count. Read from Apple's own public podcast catalog, no login and no developer account, pay on success.
894,540
Apple Podcasts shows — one record per show, refreshed as new crawl runs land.
80.3%
have a track count
96.5%
carry a real feed URL
68.6%
rated Clean
Snapshot 2026年9月6日 — public fields only. A chart-grid + search-term discovered index, not a full catalog of every Apple Podcasts show.
894,540
crawled public Apple Podcasts shows, one record per show, discovered from a country x genre x collection chart grid plus a search-term sweep — not a full catalog. chart discovery accounts for roughly 81.9% of a diverse sample; the API exposes no discovery_source filter or facet, so this is a sample-based estimate, not an exact split.
80.3%
of shows carry a queryable episode count at all — track_count is missing outright on the rest, not just zero. Filtering min_track_count=0 already excludes those records, so a naive episode-count query silently drops nearly a fifth of the index.
50%
of the index sits inside this page's top 50 genre buckets only about half, far less complete than the top 50 country buckets, which cover almost the whole index — genre tagging is comparatively sparse or long-tail here.
68.6%
of shows are tagged Clean on content_advisory_rating, versus a small Explicit share — the remainder carries no content-rating tag at all, so absence of a tag is not the same as Clean.
There is no way to enumerate every show on Apple Podcasts, so this index is built two ways: walking a country x genre x collection CHART GRID (the dominant source, by far) and a search-term sweep that turns up shows the chart grid misses. Each record's discovery_source field distinguishes the two, plus a handful of narrower expansion paths (related shows, an artist's other shows, episode search results) also seen in the field. discovery_source is not a queryable filter or facet on this dataset, so the split below comes from a diverse sample, not an exact count — treat it as directional, not a census. Country here is also the crawl's DISCOVERY STOREFRONT (e.g. us, gb), not necessarily every storefront a show is actually available in.
Top discovery storefronts
Among shows with a queryable episode count, the modal band is 10 to 49 episodes, and 10.3% clear 250 episodes. The single deepest catalog in the index runs to 7,920episodes. 176,512 shows in the index have no queryable track_count field at all and sit outside every band below — they are not zero-episode shows, they simply carry no episode-count data.
| Episodes | Shows | Share of tagged |
|---|---|---|
| Under 10 episodes | 176,546 | 24.6% |
| 10–49 episodes | 245,770 | 34.2% |
| 50–99 episodes | 106,955 | 14.9% |
| 100–249 episodes | 114,725 | 16% |
| 250+ episodes | 74,032 | 10.3% |
A record is only useful if the fields you need are populated. Episode count and content rating each cover a majority but not all of the index; the show's real RSS feed URL — sampled, since it isn't a queryable field — is close to universal, making it one of the strongest fields for downstream enrichment.
primary_genre_name is only as complete as the discovery source that found the show — the facet below returns the top 50 buckets, not every value in the index, and they cover 50% of the 894,540-record catalog. Treat it as a top-genre view, not a full genre breakdown.
| Genre | Shows | Share of tagged |
|---|---|---|
| Society & Culture | 33,671 | 7.5% |
| Christianity | 27,643 | 6.2% |
| Business | 23,864 | 5.3% |
| Education | 21,029 | 4.7% |
| Self-Improvement | 19,409 | 4.3% |
| Comedy | 17,440 | 3.9% |
| Music | 17,421 | 3.9% |
| Technology | 16,883 | 3.8% |
| Entrepreneurship | 15,832 | 3.5% |
| Books | 13,966 | 3.1% |
| Sports | 12,326 | 2.8% |
| TV & Film | 11,850 | 2.7% |
Shares here are of the 447,092 shows these top 50 genre buckets cover, not the full 894,540-record catalog — the genre facet is a top-N aggregation by construction, not a data-quality gap, and it is markedly less complete than the country facet on this dataset.
Straight from a track_count_desc query — nothing hand-picked.
| Show | Publisher | Episodes | Storefront |
|---|---|---|---|
| PWTorch VIP Podcasts | Pro Wrestling Torch | 7,920 | USA |
| PepeDiario | PepeDiario | 5,755 | ESP |
| The Grave Talks | Haunted, Paranormal & Supernatural | Ghost Stores, Haunted, Paranormal & Supernatural Stories | 4,788 | USA |
| The Fox News Rundown | FOX News Podcasts | 4,171 | USA |
| OTB Football | OTB Sports | 4,067 | CAN |
| The LA Report | LAist Studios | 3,698 | USA |
| Der Text des Tages | DIE ZEIT | 3,518 | DEU |
| OTB Daily | OTB Sports | 3,509 | GBR |
| Hidden Killers With Tony Brueski | True Crime News & Commentary | True Crime Today | 3,289 | USA |
| True Crime Today | Daily True Crime News & Interviews | Real Story Media | 3,288 | CAN |
| Reality Gays with Mattie and Poodle | Audacy, Matt Marr and Jake Anthony | 3,249 | CAN |
| OTB GAA | OTB Sports | 3,211 | GBR |
One record per show. Grouped for readability; the API returns a flat object. No per-episode data — for that, use the live Apple Podcasts endpoints.
Identity
idartist_idartist_nameartist_urlcollection_nameurlCatalog
feed_urlartwork_url_600release_datetrack_countClassification
countrycurrencycollection_explicitnesscontent_advisory_ratingprimary_genre_namegenre_idsgenresProvenance
discovery_sourcediscovery_countrydiscovery_genre_iddiscovery_collectionseed_rankrun_idcrawled_atschema_versionThe search endpoint takes the filters below; combine any of them. Page with page and page_size (≤100 per page, and page × page_size ≤ 10,000).
Full-text & classification
Episode count
Provenance
Sort
relevancepopularitytrack_count_descrelease_desctitle_ascEvery query authenticates with an x-api-key header and reads the stored search index — there is no live crawl or Apple developer account to manage, and you are billed pay on success: charged for results, not failed requests. Three endpoints cover it:
GET /datasets/apple-podcasts-shows/search — filter, sort, page the population.GET /datasets/apple-podcasts-shows/items/{id} — one show.GET /datasets/apple-podcasts-shows/facets — counts for genre, country, content rating or run.The same three are exposed as MCP tools — datasets_apple_podcasts_shows_search, datasets_apple_podcasts_shows_item and datasets_apple_podcasts_shows_facets — so an agent can call them directly. Need per-episode data or a live read of a show that is not in the index? Those are the live Apple Podcasts endpoints.
Cite this
Crawlora (2026). Apple Podcasts Shows Dataset. 894,540 crawled public Apple Podcasts show records, chart-grid + search discovered; public fields only. https://crawlora.net/datasets/apple-podcasts-shows.
Search with filters
# Business podcasts with 100+ episodes
curl "https://api.crawlora.net/api/v1/datasets/apple-podcasts-shows/search?genre=Business&min_track_count=100" \
-H "x-api-key: $CRAWLORA_API_KEY"One show by id
# One show by id
curl "https://api.crawlora.net/api/v1/datasets/apple-podcasts-shows/items/1614020580" -H "x-api-key: $CRAWLORA_API_KEY"Facet the population
# Facet the population by genre (or country, content_advisory_rating, run_id)
curl "https://api.crawlora.net/api/v1/datasets/apple-podcasts-shows/facets?facet=genre" -H "x-api-key: $CRAWLORA_API_KEY"Deepest catalogs, most episodes first
# Deepest catalogs, most episodes first
curl "https://api.crawlora.net/api/v1/datasets/apple-podcasts-shows/search?sort=track_count_desc" \
-H "x-api-key: $CRAWLORA_API_KEY"The same figures behind the bars and the waffle — plain and machine-readable for search engines and AI answer engines that cannot parse a chart.
| Episodes | Shows | Share of tagged |
|---|---|---|
| Under 10 episodes | 176,546 | 24.6% |
| 10–49 episodes | 245,770 | 34.2% |
| 50–99 episodes | 106,955 | 14.9% |
| 100–249 episodes | 114,725 | 16% |
| 250+ episodes | 74,032 | 10.3% |
| Genre | Shows | Share of tagged |
|---|---|---|
| Society & Culture | 33,671 | 7.5% |
| Christianity | 27,643 | 6.2% |
| Business | 23,864 | 5.3% |
| Education | 21,029 | 4.7% |
| Self-Improvement | 19,409 | 4.3% |
| Comedy | 17,440 | 3.9% |
| Music | 17,421 | 3.9% |
| Technology | 16,883 | 3.8% |
| Entrepreneurship | 15,832 | 3.5% |
| Books | 13,966 | 3.1% |
| Sports | 12,326 | 2.8% |
| TV & Film | 11,850 | 2.7% |
| Health & Fitness | 11,679 | 2.6% |
| News | 10,993 | 2.5% |
| Arts | 10,579 | 2.4% |
| Mental Health | 10,118 | 2.3% |
| Religion & Spirituality | 10,060 | 2.3% |
| Personal Journals | 9,514 | 2.1% |
| Marketing | 9,230 | 2.1% |
| Careers | 8,311 | 1.9% |
| Investing | 7,283 | 1.6% |
| History | 7,049 | 1.6% |
| Management | 6,730 | 1.5% |
| Spirituality | 5,855 | 1.3% |
| Politics | 5,393 | 1.2% |
| Kids & Family | 5,275 | 1.2% |
| Relationships | 5,162 | 1.2% |
| Leisure | 5,026 | 1.1% |
| Places & Travel | 5,004 | 1.1% |
| Medicine | 4,992 | 1.1% |
| Performing Arts | 4,898 | 1.1% |
| Hobbies | 4,653 | 1% |
| Science | 4,565 | 1% |
| Government | 4,290 | 1% |
| Parenting | 4,278 | 1% |
| Video Games | 4,203 | 0.9% |
| Alternative Health | 4,157 | 0.9% |
| True Crime | 4,109 | 0.9% |
| Food | 3,941 | 0.9% |
| Courses | 3,926 | 0.9% |
| Language Learning | 3,731 | 0.8% |
| Documentary | 3,689 | 0.8% |
| Islam | 3,573 | 0.8% |
| Games | 3,541 | 0.8% |
| Drama | 3,470 | 0.8% |
| Non-Profit | 3,462 | 0.8% |
| Music Interviews | 3,360 | 0.8% |
| How To | 3,282 | 0.7% |
| Design | 3,199 | 0.7% |
| Football | 3,178 | 0.7% |
Query 895K crawled public Apple Podcasts show records — episode count, genre, real RSS feed URL, storefront and content rating — through one REST API. Podcast discovery, market research, feed enrichment or catalog vetting: clean JSON, public fields only, pay on success.
The dataset holds 894,540 crawled public Apple Podcasts show records, one record per show id. It is discovered from a country x genre x collection chart grid plus a search-term sweep — there is no way to enumerate every show Apple Podcasts hosts, so this is not a full catalog.
Neither, precisely — it's a discovered index, not a random sample and not a complete catalog. Shows are found by walking a country x genre x collection chart grid (the dominant source in a diverse sample) and by a search-term sweep that turns up shows the chart grid misses, plus narrower expansion paths like related shows, an artist's other shows, and episode-search hits. Because chart-grid discovery favors shows that already rank somewhere, use this as a broad discovery surface for chart-visible and search-findable shows, not as a basis for population-level claims about every podcast on the platform.
discovery_source records how a show entered the index — chart-grid discovery, a search-term sweep, or a narrower expansion path (related show, artist's other shows, episode search). It is present on every record but is NOT a valid search filter or facet field on this dataset, so any exact split you need has to come from your own sampling of returned records, same as this page's own 3,839-record sample.
track_count (episode count) is present on 718,028 of 894,540 records; the rest carry no queryable track_count field at all, not a zero. Because there is no max_track_count parameter, the episode-count bands on this page are built from cumulative min_track_count thresholds, and they sum to the 718,028-record base with a queryable count, not to the full dataset.
country is the crawl's discovery storefront (e.g. us, gb), not necessarily every storefront a show is actually available in — a show discovered via the US chart grid can still be listed on other storefronts Apple serves it from. Note also that the country search filter and facet match the lowercase 2-letter storefront code, not the 3-letter ISO value each record's own country field returns.
Less complete. The top 50 country buckets cover almost the entire 894,540-record catalog, but the top 50 genre buckets cover only 50% of it — genre tagging is comparatively sparse or long-tail on this dataset. Always pair topGenres figures with the tagged-total caveat rather than treating the facet as a full breakdown.
Yes. Three endpoints cover it: search (full-text and faceted, with genre, storefront, explicitness, run and episode-count filters), one show by id, and facet counts for genre, country, content rating or run_id. The same three are exposed as MCP tools — datasets_apple_podcasts_shows_search, datasets_apple_podcasts_shows_item and datasets_apple_podcasts_shows_facets — so an agent can call them directly. Reads hit the stored index and never trigger a live crawl; billing is pay-on-success.