Crawlora
ProductPlatformsUse CasesDocsPricingCompareContact
Sign inTry Playground Console
Crawlora

Structured public web data APIs for search, maps, geocoding, streaming, travel, real estate, marketplaces, apps, social, audio, crypto, finance, and AI workflows with managed execution and credit-based usage.

Product

Web Scraping APIFor AI AgentsFeaturesPlatformsTravel APIsReal Estate APIsPricingReferral Program

Platforms

Google SearchGoogle MapsGoogle TrendsBing SearchAmazonLinkedInApple PodcastsZillowTripAdvisorShopifyAll platforms

Developers

DocsGetting StartedAPI ExamplesPlaygroundSDKsGitHub

Use cases

SERP MonitoringSERP Rank Checker APIGoogle Maps LeadsProperty Market IntelligenceAmazon Product MonitoringCrypto Market ResearchAI Agent Web DataAll use cases

Resources

Free Web ScraperAnti-Bot CheckerDead-Web IndexKeyword ResearchBlogChangelogAll free tools

Legal

ContactTermsPrivacy
Product
Web Scraping APIFor AI AgentsFeaturesPlatformsTravel APIsReal Estate APIsPricingReferral Program
Platforms
Google SearchGoogle MapsGoogle TrendsBing SearchAmazonLinkedInApple PodcastsZillowTripAdvisorShopifyAll platforms
Developers
DocsGetting StartedAPI ExamplesPlaygroundSDKsGitHub
Use cases
SERP MonitoringSERP Rank Checker APIGoogle Maps LeadsProperty Market IntelligenceAmazon Product MonitoringCrypto Market ResearchAI Agent Web DataAll use cases
Resources
Free Web ScraperAnti-Bot CheckerDead-Web IndexKeyword ResearchBlogChangelogAll free tools
Legal
ContactTermsPrivacy
© 2026 Crawlora. All rights reserved.·Built by Tony Wang
System statusCrawlora API status
  1. Home
  2. /Blog
  3. /The Podcast Gold Rush and the Graveyard You Can't See
By Tony WangTony WangJune 20, 202618 min read

The Podcast Gold Rush and the Graveyard You Can't See

Only ~11–16% of podcasts are active — discovery hides the rest. The findable median has ~250 episodes, and AI now publishes more new shows than humans.

Data StudyPodcastsApple Podcasts

Key takeaways

  • Podcasting has a denominator problem: trackers count anywhere from 3.0M (Apple) to 4.7M (Podcast Index) to 7M (Spotify) shows. But only ~11–16% are active — meaning roughly 84–89% have gone silent. The medium you can find is a thin living crust over a vast graveyard.
  • We pulled Apple's charts (1,800 shows across 19 genres) plus a 2,096-show search sample in June 2026. The findable catalog is a survivors' club: the median findable show has ~250 episodes, 79.6% have 50+, and only ~9% have gone quiet — the mirror image of the real universe, where 47% never publish a fourth episode.
  • Apple and Spotify — the two biggest US discovery surfaces — share only 44 of their top 100 shows. What you can find depends entirely on where you look.
  • The economics explain the graveyard. The median new episode gets 28 downloads in its first week; the top 1% gets 4,611. The ad-money threshold (~5,000 downloads) is the 99th percentile — and 51% of all US podcast ad dollars go to just the top 500 shows.
  • The newest twist: as of April 2026, AI publishes more new podcast feeds than humans do (45.7% vs 44.6%). The catalog is being out-built by machines that cost ~$1 an episode, never quit, and are heard by almost no one.
  • It is not 'podcasting is dying.' Listening is at an all-time high (167M monthly US listeners; 'podcast' search at a 5-year peak). The gold rush in making shows faded; the audience didn't.
  • Caveat: our measured figures are the discoverable head (US, June 2026 snapshot). Macro totals are cited from full-index trackers (Listen Notes, Podcast Index, Amplifi Media, Edison, IAB, Magellan AI), not measured by us.

There was a gold rush in podcasting — about a million new shows launched in 2020 alone. There was also a graveyard. So we went looking for the graveyard inside Apple Podcasts, and we couldn't find it. That turned out to be the finding: the catalog you can discover is almost nothing like the catalog that exists.

A discovery surface — Apple's charts, Apple's search, Spotify's charts, YouTube's recommendations — is a survivor filter. It ranks by popularity, so it shows you the shows that kept going. The millions that quit after two episodes never appear. We pulled Apple's charts (1,800 shows across 19 genres) and a broad 2,096-show keyword-search sample in June 2026, read each show's episode feed, then set our numbers against the full-index trackers. The gap between the two is the whole story — and it is wider, weirder, and more automated than the "podfade" cliché suggests.

Methodology & definitions at a glance

  • What we measured: Apple Podcasts (US), June 2026, via a structured web-data API — the charts (top ~100 per genre across 19 genres → 1,800 unique shows) and a keyword-search sample (~24 generic terms → 2,096 shows). Per show we read track_count (current episode count) and release_date (last activity). We also pulled Spotify's Top 100 to compare discovery surfaces.
  • "Active" / "podfaded": the industry standard — active = published an episode in the last 90 days; podfaded = has episodes but none recently (we use a 12-month cutoff on our own sample). Discoverable head = shows that appear on charts or search at all.
  • What we did NOT measure: the full RSS universe. Macro totals (counts, the share that quit, the podfade rate) are cited from trackers that crawl every feed — by design, a discovery API can't see the dead.
  • Launch years are omitted on purpose: the episodes feed caps at 200, so older shows' founding dates aren't recoverable (cadence reconstruction put The Daily in the 1970s). We'd rather omit a number than publish a wrong one.

Every measured figure is reproducible from the open dataset (CC BY 4.0).

What this means

The headline isn't "podcasting is dying" — by audience measures it has never been bigger. It is that every surface you use to find podcasts shows you a curated survivor set, and if you mistake it for the medium you'll draw the wrong conclusions:

  • Aspiring podcasters: the shows at the top aren't beginners who got lucky — the median one has ~250–330 episodes. Charting is a marathon, not a launch-week lottery. The brutal part (47% quit before a fourth episode) is hidden from you precisely because those shows aren't discoverable. The upside: simply by continuing, you pass ~85% of everyone who ever started.
  • Analysts & investors: never compute 'podcast health' from charts or search — both are survivorship-biased. Active-show counts, podfade, and concentration come from the full RSS index and ad-spend trackers, not from what ranks.
  • Marketers & advertisers: the reachable audience is far more concentrated than the catalog suggests — 51% of US podcast ad dollars already flow to the top 500 shows. 'There are 4.7 million podcasts' is true and almost irrelevant to a media plan.
  • Data & API buyers: discovery endpoints (charts, search) answer 'what's winning'; a full-catalog index answers 'what exists.' They are different products — know which question you're asking before you pull.

How many podcasts are there — and how many are alive?

Start with the question everyone asks and no one answers cleanly: how many podcasts are there? The honest answer is that it depends entirely on who is counting, because each tracker defines "a podcast" differently:

Apple Podcasts (listed)3.0M
Listen Notes (pruned)3.78M
Podcast Index (every feed)4.7M
Spotify (self-reported)7M
'How many podcasts exist' depends on the counter: Apple lists ~3.0M, Listen Notes (which strips deleted, empty, and AI-generated junk feeds) counts 3.78M, Podcast Index tracks every RSS feed it has ever seen at 4.7M, and Spotify self-reports 7M. The 2x+ spread is purely definitional. Hover a bar to isolate it.

But the number that matters is how many are alive. Across the major trackers, only about 11–16% of all podcasts published an episode in the last 90 days — Apple's active share is ~16% (and falling), while Listen Notes and the Podcast Index land near 11%. Roughly 84–89% of every podcast ever made is dark. That inactive majority is the graveyard — and it is exactly what discovery is built to hide.

Discovery only shows you the survivors

Here is the cleanest contrast. Across our keyword-search sample — a deliberately broad net, not just the charts — almost every show is well-established. Only 2.2% have fewer than three episodes. In the full universe, that figure is 47% (Amplifi Media's analysis of the Podcast Index):

Podcasts you can find (Apple charts + search)2.2%

have published 3 or fewer episodes

All podcasts that exist47%

have published 3 or fewer episodes

Share of podcasts that never get past a third episode — among the shows you can find on Apple (2.2%) versus all podcasts that exist (47%, Amplifi Media on Podcast Index data). Discovery filters out the quitters almost entirely. Hover a bar to isolate it.

Same story for podfade. Only about 9% of the shows we found have gone quiet; across all podcasts, 84–89% are inactive. The dead are real — they're just not on the menu:

Findable shows that went quiet~9%

no episode in 12 months

All podcasts that are inactive84–89%

no episode in 90 days

Gone quiet: ~9% among the discoverable head we measured, versus the 84–89% of all podcasts that are inactive (Apple / Listen Notes / Podcast Index, 2026). Hover a bar to isolate it.

The two biggest discovery surfaces don't even agree

If discovery were a neutral window onto "the best podcasts," every platform would surface the same ones. They don't. We pulled the Top 100 from both Apple and Spotify in June 2026 and matched them up: only 44 shows appear on both. A clean majority of each platform's top 100 is invisible on the other:

On BOTH Apple & Spotify44
Apple Top 100 only56
Spotify Top 100 only56
Apple vs Spotify Top 100 (US, June 2026): only 44 shows chart on both. Apple's top surfaces The Bible in a Year, Serial, and Dr. Death; Spotify's surfaces KILL TONY, The Tim Dillon Show, and Modern Wisdom — barely the same medium. Hover a bar to isolate it.

The two services share the megastars — The Joe Rogan Experience, The Daily, Crime Junkie, Dateline NBC — and then diverge completely. "The top podcasts" is not one list; it is a different list on every surface, shaped by each platform's catalog deals, its recommender, and its audience. Survivorship isn't the only filter; platform is one too.

The findable catalog is a marathon, not a sprint

How did the discoverable shows survive? By not stopping. Among our search sample, 79.6% have 50 or more episodes, and the median is 249 (the median charting show: ~330). The "quit by episode 10" attrition that defines podcasting at large is nearly invisible here — because those shows aren't findable:

Fewer than 3 episodes2.2%
3–9 episodes4.6%
10–49 episodes13.5%
50+ episodes79.6%
Episode counts of the podcasts you can find on Apple (search sample, n=2,096). Four in five have 50+ episodes — the opposite of the full universe, where most never reach episode 3. Hover a bar to isolate it.
Episode-count distribution (findable head) — data table
Episodes publishedShare of findable shows
Fewer than 32.2%
3 to 94.6%
10 to 4913.5%
50 or more79.6%

To put the survivorship in perspective: the biggest catalogs among today's charting shows run into the thousands of episodes (daily-news shows like The Daily Beans and the Global News Podcast top 2,700), and only about 2% of charting shows have gone quiet. The top of podcasting is owned by shows that have published, relentlessly, for years.

Why the graveyard exists: the brutal economics

Survivorship has a cause, and it is money. Podcasting is a textbook power law. Using Buzzsprout's platform-wide stats (a major host that publishes live aggregates), the median new episode gets 28 downloads in its first week. The top 1% gets 4,611 — about 165 times the median:

Median (50th percentile)28
Top 25%101
Top 10%413
Top 5%1,012
Top 1%4,611
Downloads per new episode in the first 7 days, by percentile (Buzzsprout platform stats, 2026). The median episode gets 28; the top 1% gets 4,611 — a ~165x gap. This is what a power law looks like. Hover a bar to isolate it.
Download distribution by percentile — data table
PercentileDownloads (first 7 days)
Median (50th)28
Top 25%101
Top 10%413
Top 5%1,012
Top 1%4,611

Now overlay the money. The rule of thumb for running host-read ads is roughly 5,000 downloads per episode — which, per the distribution above, is essentially the 99th percentile. Below it, an ad slot is worth pennies. And the ad market itself is both small and top-heavy: US podcast advertising was about $2.86 billion in 2025 (IAB/PwC), and 51% of it went to just the top 500 shows — up from 37% two years earlier (Magellan AI). A top-500 show pulls ~$300,000 a month; a show ranked 501–3,000 pulls ~$27,000; everything below splits the scraps.

So for almost every show there is no audience on the other side of the effort, and no money on the other side of the audience. Shows don't usually "fail" dramatically — they fade in the desert between launch and the ~5,000-download bar that most never cross. (When creators do say why they quit, it's rarely the audio: on r/podcasting the recurring killer is a co-host walking away, followed by burnout.)

The survivor filter is moving — from Apple to YouTube

There is a second twist the "podfade" story misses: the survivor filter has changed venues. For a decade, "podcast discovery" meant the Apple directory. Not anymore. By share of listeners who use it most, YouTube is now the #1 podcast platform (~40%), ahead of Spotify (~18%) and Apple (~11%):

YouTube~40%
Spotify~18%
Apple Podcasts~11%
Platform used most by weekly podcast consumers (Sounds Profitable / Cumulus, 2025). YouTube leads — and Apple's 'listen-most' share fell from 29% in 2019 to 8% in 2025. The survivor filter moved to a video recommender. Hover a bar to isolate it.

Apple's collapse is the stark part: its "listen-most" share fell from 29% in 2019 to 8% in 2025 (Cumulus/Signal Hill), and 44% of new podcast audiences now start on YouTube — twice Spotify, five times Apple. The graveyard didn't shrink; it relocated to a video recommender that pits an audio-only indie show against MrBeast for the same slot. Increasingly the survivors are video survivors — and "make a podcast" now quietly means "make a video too," even though most listeners still only listen.

The graveyard is now being out-built by ghosts

Here is the part that reframes everything. Until now, the graveyard filled because humans gave up. In 2026, the catalog is filling faster than humans can quit — because machines are publishing.

On April 15, 2026, the Podcast Index's new-feed report flipped: 45.7% of new podcast feeds in a 24-hour window were likely AI-generated, versus 44.6% likely human (Podnews). For the first time, AI shows outnumbered human ones among fresh submissions:

New feeds that are likely AI45.7%

April 2026, 24-hour window

New feeds that are likely human44.6%

the remainder is unclassified

New podcast feeds in a 24-hour window, April 2026 (Podcast Index, via Podnews). For the first time, likely-AI feeds outnumbered likely-human ones. Hover a bar to isolate it.

The economics are why. One operator, Inception Point AI, has produced roughly 200,000 episodes at about $1 each, says it is profitable at 25 listeners per episode, and once published 325 shows in a single day — about one in five of all new shows that day. These aren't shows that podfade; they cost nothing to keep alive, so they never stop. (r/podcasting noticed: "An AI podcasting machine is churning out 3,000 episodes a week.")

That breaks the denominator. "How many podcasts exist" was already a soft number; now a fast-growing share of it is content no human chose to make and almost no human hears. The survivor filter used to separate the shows that quit from the shows that didn't. Now it also has to separate the living from an ocean of machines publishing forever into an empty room. The graveyard is being out-built by ghosts.

One honest caveat: that 45.7% is a flow — new feeds in a single day — not the stock of all podcasts. Half the catalog is not yet AI. But the flow is the leading indicator, and it has already crossed 50% of human output.

What's actually on top

Among the overall Top 100, three genres do most of the work — true crime, comedy, and the business/entrepreneurship cluster — with daily news and self-improvement close behind:

True Crime19
Comedy12
Entrepreneurship10
Society & Culture6
Daily News5
News Commentary5
Self-Improvement4
Business4
Genre mix of the overall Apple Podcasts Top 100 (June 2026). True crime, comedy and the business/self-improvement cluster dominate the very top. Hover a bar to isolate it.

It's not dying — the audience is at a record

For all the graveyard talk, the demand side has never been healthier. A record 167 million Americans listen monthly — 58% of the 12-and-over population, an all-time high (Edison Research, Infinite Dial 2026) — and US search interest in "podcast" sits at a 5-year high. What peaked and fell was supply: new-show launches crashed from ~1 million in 2020 to roughly 200,000 a year now:

2019337K
20201.02M
2021751K
2022219K
2025~198K
New podcasts launched per year (Listen Notes). The 2020 pandemic spike — over a million new shows, amplified by free one-tap hosts — has since collapsed to roughly a fifth of its peak. Hover a bar to isolate it.

The gold rush was in making podcasts, and it is over. The audience that the rush was chasing is still here, listening more than ever — to the few thousand shows that survived long enough to be found.

How we did this (and the caveats)

We pulled Apple Podcasts' top-chart for each of 19 genres (~100 shows each → 1,800 unique shows) and a keyword-search sample (~24 generic terms → 2,096 shows) for the US in June 2026, then read each show's feed for its episode count and last-activity date; we also pulled Apple's and Spotify's overall Top 100 to compare discovery surfaces. Caveats worth stating plainly: both samples are survivorship-biased — charts rank by popularity and search ranks by relevance, so neither reaches the abandoned long tail; every "findable" figure describes the discoverable head, not the medium. We do not report founding dates — the episodes endpoint caps at 200, so launch years aren't reliably recoverable, and we'd rather omit a number than estimate a wrong one. track_count is the current feed count, so shows that prune old episodes read smaller than their lifetime. The macro figures (counts, the 47% under-four-episodes, the 84–89% inactive, podfade, downloads, ad concentration, audience) are cited from the trackers named inline and below — not measured by us; that's the whole point, because a discovery API can't see them. The Apple-vs-Spotify overlap uses fuzzy name-matching across the two platforms' Top 100 (June 2026). And it is a point-in-time US snapshot.

If you want the full per-show data, it's open on GitHub (CC BY 4.0) and reproducible. How do we read charts and feeds across platforms at scale? That's the day job. Crawlora is a web-data API for AI agents and pipelines that returns normalized JSON for podcasts, the App Store, search engines, and more — handling proxies, rendering, and anti-bot, billed pay-on-success. The same approach powers our App Store AI study and our streaming fragmentation study.

Sources

  • Listen Notes — podcast stats: totals, active shows, new launches per year
  • Podcast Industry Insights (Daniel J. Lewis) — Apple Podcasts active rate
  • Amplifi Media (Steven Goldstein) — how many podcasts are still in production (% past 3 / 10 episodes)
  • Buzzsprout — global stats (download distribution by percentile)
  • Magellan AI — podcast advertising benchmarks (ad-spend concentration)
  • IAB / PwC — US podcast advertising revenue (2025)
  • Cumulus Media / Signal Hill — Podcast Download, Spring 2025 (platform share)
  • Sounds Profitable — The Podcast Landscape 2025
  • Edison Research — The Infinite Dial 2026 (US listenership)
  • Podnews — more new AI-generated podcasts than human ones
  • Crawlora — Podcast Gold Rush dataset (GitHub, CC BY 4.0)

Recreate this study with Crawlora

Every measured figure here came from Crawlora's structured Apple Podcasts and Spotify endpoints — charts, search, shows, and episodes as normalized JSON, with proxies and anti-bot handled, billed pay-on-success. 2,000 free credits a month, no card.

Apple Podcasts APIWeb Data APIPricing

Frequently asked questions

How many podcasts are there in 2026?

It depends on who is counting: Apple lists ~3.0 million, Listen Notes (which strips deleted, empty and AI-generated junk feeds) counts ~3.78 million, the Podcast Index tracks ~4.7 million RSS feeds, and Spotify self-reports 7 million. The number that matters is how many are alive: only about 11–16% have published an episode in the last 90 days, so roughly 84–89% of all podcasts ever made are inactive.

What percentage of podcasts quit or fail?

Most quit early. About 47% of podcasts have published three or fewer episodes (Amplifi Media, analyzing the Podcast Index), and roughly 84–89% are now inactive (no episode in 90 days). The widely-shared '90% quit by episode 3' claim has no traceable source — the defensible figure is ~47% with three or fewer episodes.

What is podfade, and how common is it?

Podfade is when a show quietly stops publishing without announcing it — and it is the norm, not the exception. Across all podcasts, roughly 84–89% are inactive. But among the shows you can actually find on Apple's charts and search, only about 9% have gone quiet, because discovery surfaces survivors and hides the dead.

What percentage of podcasts reach 10 or 50 episodes?

Across the whole medium, only about 32% of podcasts ever reach 10 or more episodes (Amplifi Media). Among the shows you can find on Apple it is the opposite: 79.6% have 50 or more episodes and the median findable show has ~250. That inversion is survivorship — shows that quit early simply are not discoverable.

Do Apple and Spotify show the same top podcasts?

No. We pulled both platforms' Top 100 in June 2026 and only 44 shows appear on both. The two biggest US discovery surfaces share the megastars (Joe Rogan, The Daily, Crime Junkie) and then diverge completely — a clean majority of each platform's top 100 is invisible on the other. What you can find depends on where you look.

Are podcasts dying or oversaturated in 2026?

Listening is not dying — a record 167 million Americans listen monthly (58% of the 12+ population, an all-time high per Edison Research). What corrected hard is creation: new-show launches fell from ~1 million in 2020 to roughly 200,000 a year. And it is less oversaturated than it looks — only ~450,000–600,000 shows are actually active, not the 4.7 million total.

Should I start a podcast in 2026?

Yes, if you can outlast the drop-off. About 47% of podcasts quit before a fourth episode and ~84–89% are inactive, so simply by continuing you pass the overwhelming majority of everyone who ever started. The catch in 2026: discovery has moved to YouTube (now ~40% of listening, vs Apple's ~11%), so video is increasingly table stakes, and AI is flooding the catalog with ~$1-an-episode shows.

How was this measured?

We pulled Apple Podcasts' charts (top ~100 across 19 genres → 1,800 unique shows) and a keyword-search sample (~2,096 shows) for the US in June 2026 through Crawlora's structured API, plus Apple's and Spotify's overall Top 100, then read each show's episode count and last-activity date. Both samples are survivorship-biased (they rank by popularity/relevance), so they describe the discoverable head; macro totals are cited from full-RSS-index and ad-spend trackers, and the underlying dataset is open and reproducible.

Share:
Explore with AI:
ChatGPTClaudeGoogle AIGrokPerplexity

About the author

Tony Wang

Tony Wang · Founder, Crawlora

Tony Wang is the founder of Crawlora and a senior software engineer with 9+ years across backend, cloud infrastructure, and large-scale web crawling — including distributed scrapers that have collected millions of profiles. He writes about web scraping, SERP and MCP APIs, and AI-agent data workflows.

View profiletonywang.io
Back to blog

Related posts

Are App Store Reviews Real? We Read 5 Million of Them

We read ~5M recent App Store & Google Play reviews. The star badge hides a hollow middle: ~80% are 1 or 5 stars, recent iOS averages just 3.15★.

How Many Streaming Subscriptions Do You Need in 2026?

How many streaming services do you need in 2026? We mapped the 100 most-popular US titles: it takes 11 (~$152/mo) to watch them all — about what cable cost.

Product Hunt Trends 2013–2026: How AI Agents Took Over Startup Launches

Product Hunt trends, 2013–2026: we read every leaderboard. AI agents went from 0 to 9 of the annual Top 10 by 2025, and the trend rotates monthly, not yearly.

How Much of the Web Runs Anti-Bot? We Scanned the Top 1,000,000 Sites

We scanned the top 1,000,000 sites: 53.5% of the reachable web runs a managed anti-bot or WAF — and, surprisingly, the busiest sites run the least.

14% of the Web Is Actually Dead

Only 14% of the top 10 million domains are genuinely dead — not the usual 27.6%. Nearly half of the 'dead' web is just blocking bots or serving errors.

How Many AI Apps Are on the App Store? 1,490 Analyzed (2026)

How many AI apps are on the App Store? We analyzed 1,490: 84% launched since ChatGPT, the median has just 171 ratings, and five apps hold 45% of all ratings.

Browse Docs Try Playground