How does the Object table and JSON output of best podcasts API created by Listen Notes function?

In this article, I will provide a clear explanation of the object table and JSON output of Listen Notes' Best Podcasts API. As a reader with programming knowledge, you likely already understand the basics of these data structures. However, I will go into more detail about how these structures are used in the context of Listen Notes' API and provide examples to help you better understand how to work with the data. By the end of this article, you should have a solid understanding of the object table and JSON output used in the Best Podcasts API and be able to use this knowledge to effectively integrate Listen Notes' data into your own applications.

API Object Table

1. id: A unique identifier for the podcast.

2. name: The name of the podcast.

3. total: The total number of podcasts returned in a response.

4. has_next: A boolean value indicating whether there are more podcasts to retrieve.

5. podcasts: A list of podcasts.

6. rss: The RSS feed URL for the podcast.

7. type: The type of the podcast.

8. email: The email address associated with the podcast.

9. extra: Any extra information associated with the podcast.

10. google_url: The Google Podcasts URL for the podcast.

11. spotify_url: The Spotify URL for the podcast.

12. youtube_url: The YouTube URL for the podcast.

13. image: The URL for the podcast's image.

14. title: The title of the podcast.

15. country: The country where the podcast originates.

16. website: The URL for the podcast's website.

17. language: The language of the podcast.

18. genre_ids: A list of genre IDs associated with the podcast.

19. publisher: The publisher of the podcast.

20. description: A brief description of the podcast.

21. etc: Any other objects or information associated with the podcast that are not explicitly listed in this table.

The information in the table provides valuable data about podcasts that can be used for a variety of purposes. For podcast listeners, this information can help them discover new podcasts based on their preferred language, genre, or country of origin. It can also help users keep up-to-date with their favorite podcasts by providing information about new episodes, as well as links to relevant platforms where they can listen to or subscribe to podcasts. For podcast creators and publishers, this information can be used to track their podcast's performance, monitor trends in podcasting, and make informed decisions about marketing and distribution strategies. Overall, the information provided by the objects in the table is a crucial resource for anyone interested in podcasting, whether as a listener, creator, or industry professional.

Explaining the JSON output

This JSON output represents information about the "Business" category in a podcast database. The "id" field indicates the unique identifier for this category, while the "name" field specifies the name of the category. The "total" field provides the total number of podcasts associated with this category, and the "has_next" field indicates whether there are additional pages of podcasts to retrieve. The "podcasts" field contains a list of 27 podcasts, each with various information such as their unique identifiers, RSS feed URLs, types, email addresses, images, titles, countries of origin, websites, languages, genres, publisher names, descriptions, and more. Other fields in the output include "parent_id", "page_number", "has_previous", "listennotes_url", "next_page_number", and "previous_page_number", which provide additional information about the category and pagination of the podcast data. Overall, this JSON output provides a comprehensive and structured way to access and retrieve information about podcasts in the "Business" category.

{
"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 }

Closing words

We covered different topics related to data structures and API integration. We started by clarifying the concept of an object table and JSON output, explaining their definitions and use cases. Then, we converted an HTML table into a more readable format and described in detail all the objects listed. Finally, we analyzed a JSON output for a specific category of podcasts, outlining the information that it contains and its overall purpose. Overall, this conversation highlights the importance of understanding data structures and their use cases in API integration, which can provide valuable information for various purposes such as podcast discovery and analysis.

Footnote

If you are interested in accessing the Listen Notes best podcasts API, you can do so through the third-party data marketplace of Worldindata. Worldindata provides a range of data sets and APIs, including access to the Listen Notes best podcasts API, which you can use to access information about top-rated podcasts. To request access to the Listen Notes best podcasts API through Worldindata, you can visit their website and follow the steps outlined on their platform. By accessing this API through Worldindata, you can take advantage of the platform's features and functionalities to integrate podcast data into your own applications, and leverage the data to gain insights and inform decisions.