In this article, I will clarify the object table and JSON output of the Listen Notes podcast details API. As a programmer, you already know that an object table is a database table that stores information in the form of rows and columns, while JSON is a lightweight data-interchange format used to transmit data between different platforms. The Listen Notes podcast details API provides detailed information about podcasts, and understanding its object table and JSON output is crucial for programmers who want to extract and analyze data efficiently. In this article, I will explain how the data is structured in the object table and JSON, and what information you can extract from each format.

Object and Description of API Output

1. id: Unique identifier for the podcast.

2. rss: URL for the podcast's RSS feed.

3. type: Type of podcast (e.g., "episodic" or "serial").

4. email: Email address of the podcast owner.

5. extra: Additional metadata for the podcast.

6. image: URL for the podcast's artwork.

7. title: Title of the podcast.

8. country: The country where the podcast is produced.

9. website: URL for the podcast's website.

10. episodes: List of episodes for the podcast.

11. language: The language spoken on the podcast.

12. genre_ids: List of genre IDs associated with the podcast.

13. itunes_id: The podcast's ID in the Apple Podcasts directory.

14. publisher: The name of the company or individual that publishes the podcast.

15. thumbnail: URL for a smaller version of the podcast's artwork.

16. is_claimed: Indicates whether the podcast has been claimed by its owner on Listen Notes.

17. description: A brief summary of the podcast.

18. looking_for: Indicates whether the podcast is currently seeking guests or sponsors.

19. listen_score: A rating of the podcast's popularity on Listen Notes.

20. total_episodes: The total number of episodes for the podcast.

21. etc: Additional objects or metadata associated with the podcast.

The information in the table is useful because it provides a comprehensive overview of the data that is available through the Listen Notes podcast details API. This API provides detailed information about podcasts, including metadata such as title, description, artwork, and language, as well as more complex objects like the list of episodes and the podcast's popularity score. The information in the table is especially useful for programmers who are looking to extract and analyze this data for their own applications or research. With this information, programmers can build tools and services that help users discover, organize, and consume podcasts more effectively. Additionally, businesses and researchers can use this data to gain insights into the podcasting landscape, track trends, and analyze listener behavior. Overall, the information in the table is a valuable resource for anyone looking to work with podcast data.

JSON explained

The given JSON output contains information related to the "Business" category of podcasts from the Listen Notes podcast details API. The output includes the ID of the category, the name of the category, the total number of podcasts in this category, and whether there are more pages of podcasts to be loaded. The output also includes an array of podcasts, with each podcast represented as an object containing various metadata such as the podcast's ID, RSS feed URL, type of podcast, email address of the podcast owner, podcast artwork, title, country, website, language, list of genre IDs, publisher, description, and more. Additionally, the output provides information about the current page of podcasts being displayed, including the page number, whether there are previous or next pages, and the Listen Notes URL for this page. This JSON output can be used by programmers to extract and analyze data about the Business category of podcasts, such as the popularity score of each podcast, the number of episodes, and the publication dates of the latest episodes.

{
"id":93
"name":"Business"
"total":706
"has_next":true
"podcasts":[
0:{
"id":"5f237b79824e4dfb8355f6dff9b1c542"
"rss":"https://feeds.npr.org/510325/podcast.xml"
"type":"episodic"
"email":"podcasts@npr.org"
"extra":{...}
"image":"production.listennotes.com/podcasts/the-ind.."
"title":"The Indicator from Planet Money"
"country":"United States"
"website":"https://www.npr.org/sections/money/567724614/the-indicator?utm_source=listennotes.com&utm_campaign=Listen+Notes&utm_medium=website"
"language":"English"
"genre_ids":[...]
"itunes_id":1320118593
"publisher":"NPR"
"thumbnail":"production.listennotes.com/podcasts/the-ind.."
"is_claimed":false
"description":"A little show about big ideas. From the people who make <em>Planet Money</em>, <em>The Indicator</em> helps you make sense of what's happening today. It's a quick hit of insight into work, business, the economy, and everything else. Listen weekday afternoons.<br /><br /><em>Got money on your mind? Try Planet Money+ — a new way to support the show you love, get a sponsor-free feed of the podcast, and get access to bonus content. A subscription also gets you access to The Indicator and Planet Money Summer School, both without interruptions. </em>"
"looking_for":{...}
"listen_score":74
"total_episodes":1101
"listennotes_url":"https://www.listennotes.com/c/5f237b79824e4dfb8355f6dff9b1c542/"
"audio_length_sec":575
"explicit_content":false
"latest_episode_id":"60d434e70f3d40479ea607a0c9eae028"
"latest_pub_date_ms":1665184215000
"earliest_pub_date_ms":1527108300299
"update_frequency_hours":28
"listen_score_global_rank":"0.01%"
}
1:{...}27 items
2:{...}27 items
3:{...}27 items
4:{...}27 items
5:{...}27 items
6:{...}27 items
7:{...}27 items
8:{...}27 items
9:{...}27 items
10:{...}27 items
11:{...}27 items
12:{...}27 items
13:{...}27 items
14:{...}27 items
15:{...}27 items
16:{...}27 items
17:{...}27 items
18:{...}27 items
19:{...}27 items
]
"parent_id":67
"page_number":2
"has_previous":true
"listennotes_url":"https://www.listennotes.com/best-business-podcasts-93/"
"next_page_number":3
"previous_page_number":1 }

Concluding

We have discussed the object table and JSON output of the Listen Notes podcast details API. We started by describing the objects in the table and their usefulness in providing detailed information about podcasts, such as their title, description, artwork, language, and number of episodes. We then examined a sample JSON output that contained metadata about a specific category of podcasts, including the total number of podcasts in the category, an array of podcasts with their various metadata, and information about the current page of podcasts being displayed. This information can be used by programmers to extract and analyze data about podcasts and build podcast-related applications and services. Overall, the conversation highlights the importance of understanding the object table and JSON output of the Listen Notes podcast details API for working with podcast data effectively.

Endnote

Access to the Listen Notes podcast details API is available through the third-party data marketplace of Worldindata. This means that programmers and developers who are interested in working with podcast data can request access to the API through Worldindata and gain access to the rich set of metadata that Listen Notes provides for podcasts. I