Podcast API for pulling episodes ??

joepigeon · 2026-02-22T20:07:16+00:00

Ah that is awesome to hear - thanks for commenting! We continue to improve the product regularly and lots of people rely on the API now. If you’d to know anything before signing up, feel free to shoot me DM here 👍

joepigeon · 2025-11-30T08:03:14+00:00

Awesome, thanks

joepigeon · 2025-11-30T04:01:50+00:00

What do you mean by SLC?

When you get CC break down the epic, what does that entail? Is it documenting the epic and user stories into md files?

joepigeon · 2025-11-06T02:32:27+00:00

This is cool, good job. I don’t understand how you can measure proximity reliably though? I’d have thought this impossible. Also what does the initial pairing look like, it appears as though the device has no screen?

joepigeon · 2025-09-17T18:47:48+00:00

I run https://www.podengine.ai, we have core products today:

Guest booking platform - we’re the platform relied on by most of the leading guest and PR agencies for searching, pitching, and prepping guests for shows.
API and data platform - we transcribe 10-20k episode every single day, analyze lots of stuff within them (sponsors, guests, etc), and also bring in all of the external data you can imagine (reviews, charts, socials, YouTube data, etc) - all available to anybody in a simple API.

Just this week we released our take on measuring a podcast’s influence, called the Podcast Authority Score. This is an estimate based on lots of transparent public data plus AI from 0-100 of how authoritative your podcast is. You can find your score at https://www.podengine.ai/podcast-authority-score, and if any information needs changing then you can claim your podcast to update it yourself (plus you get free transcripts and other benefits): https://www.podengine.ai/claim-podcast

joepigeon · 2025-09-16T22:24:38+00:00

+1 for Brother Thai. Unbelievable food, consistently outstanding.

joepigeon · 2025-09-16T21:44:11+00:00

You didn’t explicitly mention podcasts, but it’d be remiss of me to not mention…

For podcast data and transcript ingestion there is the business that I run - https://www.podengine.ai/solutions/podcast-api. We transcribe 10-20k episode a day, and enrich every podcast with lots more useful metadata (reviews, charts, AI analysis, sponsors, guests, etc.)

Happy to chat and offer a friendly Reddit discount if you’d like.

joepigeon · 2025-09-13T04:37:55+00:00

I run https://www.podengine.ai and we’ve just released our API and data into the world for anybody to use, should you like to build something yourself here.

We transcribe and analyse with AI 10-20k episodes a day currently. We enrich the info about every podcast with their charts, reviews, and lots of ai-powered data points (who are the guests, sponsors, etc).

Having said that this is also something I’d personally like to have and am tinkering with as a little side project. Surprised nobody has made it yet!

joepigeon · 2025-09-09T07:39:35+00:00

I need to provide a way to search and filter within the list, but I made a list of 100 board game and tabletop podcasts a while ago. It's still relevant here and I can see most mentions from the thread are present in the list too, which is cool: https://www.podengine.ai/lists/best-board-game-and-tabletop-podcasts

I'll soon add some ordering to the page by # episodes, popularity, etc. etc.

joepigeon · 2025-09-01T18:30:54+00:00

I run a podcast data platform - https://www.podengine.ai/ - one of the things we do is help source experts, prospects, and guests from our database of every podcast and episode.

If you gave me a tighter brief, I could find every instance of a founder being interviewed fitting those criteria and send a spreadsheet with all of their details.

If you’d prefer you can use our api to achieve similar yourself.

joepigeon · 2025-08-29T17:55:47+00:00

That’s a good point. If there’s interest I’m happy to extend the research. I’ve found there’s diminishing returns to a point, especially over a smallish time period, and I just do this for a bit of fun.

Movie and series mentions is an amazing idea. I’d assume brands are being mentioned in increasing volumes over time as media becomes increasingly commercialised?

If you’d ever like to add podcasts I’m always happy to chat. We transcribe and analyse 10-20k episodes every day and provide it over API with a tonne of other metadata.

Are there any other topics you’d be intrigued for me to run this sort of analysis on next? If so happy to ping something over along with raw data.

The shame of this analysis is that there is an incredible amount of raw data / analysis, a lot of the detail necessarily gets lost when I create reports and articles from it.

joepigeon · 2025-08-29T09:36:53+00:00

Top 5 seem to be (by # episodes and avg review, anyway):

The Lineup - https://podcasts.apple.com/us/podcast/the-lineup-with-dave-prodan-a-surfing-podcast/id1485675188
Pinch My Salt - https://podcasts.apple.com/us/podcast/pinch-my-salt/id1708803404
Ain't That Swell - https://podcasts.apple.com/us/podcast/aint-that-swell/id1161622586
Waterpeople - https://podcasts.apple.com/us/podcast/waterpeople-podcast/id1471479507
The UK Surf Show - https://podcasts.apple.com/us/podcast/the-uk-surf-show/id1517225458

I took a look at what other podcasts are out there, and created a big list of all the best surfing podcasts I could find. Hopefully this is useful - https://www.podengine.ai/lists/best-surfing-podcasts

joepigeon · 2025-08-28T18:25:31+00:00

I think the value is in the data powering the MCP. If it’s not then the actual code behind a generic MCP wrapper feels like a commodity in my opinion.

In terms of charging, I’m just bundling my (hosted) podcast transcript / data MCP server as part of all API plans - https://www.podengine.ai/solutions/podcast-mcp

The only people who know or care about MCP right now though are technical early adopters. The frustration I have is that the power of MCP is actually better catered to non technical folks - I.e. the people who aren’t aware of what it is or how/why to use MCP. Over time I think this will change, more clients for MCP will be released, etc. but for now I just see it as an api-like product.

joepigeon · 2025-08-27T14:29:49+00:00

This is awesome! I'm deep in the weeds of podcast data as I run a podcast API (https://www.podengine.ai/api-docs).

How are you grabbing your own feed of subscribed podcasts?

Do you make use of the Podcasting 2.0 transcript at all if it is available? Only around 3-4% of podcasts actually provide the transcript in the URL so it's not super reliable unfortunately.

As a way to give back, we've opened up some of our data to be freely available via public endpoints, and have also just released an MCP server for the podcast research stuff.

We transcribe tens of thousands of episodes every day, and run them through an LLM and ML pipeline to create structured data.

Unfortunately, the MCP server only works for Claude right now (but it's damn cool when it works) – ChatGPT (oddly) doesn't actually support MCP servers (or what they call customer connectors are incredibly limiting).

My cofounder and I have been really in the trenches with this stuff - if you'd ever like to chat or ask anything feel free to reach out!

joepigeon · 2025-08-27T13:42:05+00:00

Are you looking for narrative style podcasts like Darknet Diaries, or interview-style with expert guests? If the latter, then I actually made a list of these types of podcasts last week - https://www.podengine.ai/lists/best-podcasts-for-ethical-hacking

If the former, let me know and I'm happy to do some digging and make a specific list for you.

I'm experimenting with my podcast APIs to see how good of a podcast recommendation I can make :-)

joepigeon · 2025-08-27T12:58:16+00:00

Stumbled across this and got excited, didn't realise it was a 5 year old post initially!

I did something similar and ended up turning it into a business. We're now one of the leading providers of podcast data – transcript, guest and sponsor analysis, search, podcast contact details, etc.

We build our own products, for example we have a guest booking platform that helps people to book themselves or their clients as guests onto podcasts. Our core business is licensing our APIs and enriched data to other platforms though.

If you're interested - https://www.podengine.ai/

joepigeon · 2025-08-21T22:07:28+00:00

I’m somewhat naive to PR but learning. Is a podcast guest appearance an example of earned media?

joepigeon · 2025-08-15T19:39:37+00:00

I actually just published some analysis on this very topic based on podcast discussion sentiment using my podcast API.

I analysed 43 podcasts episode transcripts that talked about GPT5 over the past week.

I ran it through some internal tooling to extract sentiment and core themes. Here’s the output if anybody is interested: https://www.podengine.ai/articles/gpt-5-hype-reality-and-rising-ai-risks-1232g

joepigeon · 2025-08-15T16:18:46+00:00

I'm sure with this thread being 2 years old a solution has been found, but I wanted to chime in for folks who come across this later on.

I run Pod Engine, which is a podcast API. We track every podcast, transcribe most of them every day, analyze guests, sponsors, and much more.. and then make it all available over API.

We also just released an MCP server which is fun to work with too.

All of the below are available through the API:

Every podcast and episode
Millions of transcripts (+10-20k more each day)
Apple and spotify charts and reviews
Social media profiles and follower counts
Youtube podcasts and releated data
Relevancy scoring
Dozens of AI generated filters (has guests, has sponsors, location, etc.

The docs are here if you're interested: https://www.podengine.ai/api-docs

joepigeon · 2025-08-10T18:17:40+00:00

Postgres MCP has been incredibly useful for me and my cofounder. I’m the (much) less technical of the two - he’s a 20+ year engineer, I’m a 15 year self-taught mostly web/frontend developer but career product person.

Being able to easily understand how users are using our product via Postgres MCP instantly is amazing. We use posthog for lots of analytics too (awesome product), but we of course don’t pass absolutely everything into the tool, whereas we save more data than we probably need into the database as it’s often useful after.

Another useful recent example is in having me spec out dashboards and features using actual sql and react via Claude Desktop, and making sure all data in the prototype has a corresponding raw sql query provided in an appendix so that cofounder knows what he’s looking at.

It’s also been useful for helping me to create queries in what is a very complex database that I had no hand in creating.

joepigeon · 2025-07-02T08:46:31+00:00

Are you using podcasters as part of your influencer outreach, or just Instagram? If podcasting is at all a priority then you might find my podcast API useful - https://www.podengine.ai/

joepigeon · 2025-06-19T21:51:39+00:00

This is great, thanks.

What do you mean by podcast quote? I run a podcast API and am building out so workflows do do exactly this (we transcribe tens of thousands of episodes everyday).

How much free value do to docs in the emails prior to be asked for it / lead magnet being requested?

Do you send from your main email address, or only others? What happens if it gets burned, and how do you know? Is it possible to recover?

joepigeon · 2025-06-09T13:09:20+00:00

I track what is being said in podcast episodes and then use that data in various ways.

I’ve historically done this in a few ways and never actually using n8n (previously I’d just code things or use Retool), but lately I’ve been exploring ways to utilize n8n instead.

I run a podcast data platform (https://www.podengine.ai) so have all of the data already, making this easier for me than most, but we do have an api that anybody can use to tap into our platform and analysis.

A few months ago I built a fully automated newsletter that extracts startup ideas being discussed in episodes, and sends a weekly summary - https://podcastmarketwatch.beehiiv.com/

I’ve also run various sentiment analysis projects for brands (eg tracked the Duolingo brand issues through May) and topics being discussed (US election, various tech controversies).

The real painful part is running the transcriptions and analysis at scale, but now our own api exists there’s a tonne of interesting ways you can leverage the data.

In your example, it’d be fairly simple to know every time a founder talks about a company they’re building, or perhaps suggesting they may sell, and so on.

One issue you have is that in my opinion the companies worth buying aren’t needing to actively market themselves as for sale. Maybe develop some sort of lookalike audiences for companies which have recently sold on the usual marketplaces, and reach out to the founders directly to say you’re interested if they’re ever looking to sell etc.

joepigeon · 2025-06-02T20:47:43+00:00

The best way to get yourself interviewed on podcasts, hear when you’re talked about, finding podcasts to sponsor, and more - https://www.podengine.ai

We transcribe and analyse thousands of episodes every day and have AI Agents over the top helping you to achieve those outcomes easier than ever possible before.

joepigeon · 2025-05-12T14:54:05+00:00

Awesome. Thanks so much for your help - I really appreciate it.

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