Building a decent podcast database is an ongoing effort.
It's not difficult. But it takes time and money (for server costs, engineer salaries...) to build
and
maintain.
Just like owning a car or a house, the initial expense to purchase the item is much less than the
ongoing
costs
to maintain it,
due to tax payments, insurance expenses, unexpected repair needs, and most importantly, your time.
There are a few things you need to consider before building and maintaining your own podcast database:
-
There are at least 3,632,505 podcasts and 183,029,301 episodes on the Internet.
The volume of podcast contents grows faster and faster.
You need to host the data on your end and make sure the data is up-to-date.
-
Podcasts change rss feeds and audio urls more often than you expect, when considering 3,632,505 podcasts and 183,029,301 episodes.
You need to invest in automatic tools and manual processes to clean up data 24/7, which are necessary but invisible to your users.
-
If you need to search 3,632,505 podcasts and 183,029,301 episodes by keywords,
then you have to build a search engine on your end.
A search engine is simple on the UI, but extremely complex on the backend infrastructure.
There must be a reason why Google, "a simple website", employs 175,000 full-time employees (as of 2022) and another hundreds of thousands of contractors.
-
There are a lot of fake podcasts on the Internet (e.g., machine-generated audio).
Sneaky Black Hat SEO people create tons of fake podcasts for link building. Such fake podcasts are not for human listeners to consume.
You have to deploy both automatic and manual processes to make sure not to include fake podcasts in your podcast database.
Fun fact: Google has a dedicated web spam team,
and we also allocate a bunch of resources to deal with fake podcasts at Listen Notes.
-
If you need the database and the search engine to be up and running 24/7, you have to do work to make sure that servers won't have outages.
-
How much would you pay for a competent full-time software engineer?
Would you rather pay for a third party cloud service (e.g., our API) or to pay the salary of several in-house software engineers?
In all honesty, the most expensive part of building and maintaining your own podcast database is
the opportunity cost.
It's about making a choice. Time spent building your own podcast database is time that you can't use
to
build
your apps or websites.
Using Listen API allows you to jumpstart the most exciting part of your project immediately.
In addition, we run a very popular podcast search engine website
listennotes.com.
There are over 2,000,000 people using our website every month, who play an important role to keep our podcast database up-to-date.
For example, our website visitors help
submit missing podcasts and
fix incorrect data.
With the help of so many people around the world 24/7, we are able to maintain a high-quality podcast database.