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Substack Trending Posts
Get the posts currently trending across all of Substack, as featured on its explore page. Returns each post’s title, author, publication, publication date, engagement and paywall status.
Endpoint
GET /v1/substack/trending
Price: $0.003 per request Free tier: 50 requests/month
Parameters
| Parameter | Required | Description |
|---|---|---|
get_sentiment |
No | Set to true to add AI emotion analysis (Plutchik’s Wheel) to each result. Adds +$0.001 per request to the cost. Returns emotion scores, dominant emotion, intensity, and polarity. |
Response Fields
| Field | Type | Description |
|---|---|---|
posts |
array | Trending posts |
posts[].title |
string | Post title |
posts[].subtitle |
string | Post subtitle, empty when none |
posts[].url |
string | Direct link to the post |
posts[].date |
string | Publication date and time (UTC, YYYY-MM-DD HH:MM:SS) |
posts[].author |
string | Author’s Substack handle (empty when the byline is the publication itself) |
posts[].author_name |
string | Author’s display name |
posts[].author_id |
integer/null | Author’s Substack user ID, null when the byline is the publication itself |
posts[].author_url |
string | Link to the author’s profile |
posts[].source |
string | "Substack" |
posts[].domain |
string | "substack.com" |
posts[].snippet |
string | Post description or preview text |
posts[].likes |
integer | Number of likes (reactions) |
posts[].comments |
integer | Number of comments |
posts[].restacks |
integer | Number of restacks (shares to Notes) |
posts[].reactions |
object | Reaction counts by emoji, e.g. {"❤": 284} |
posts[].is_paid |
boolean | Whether the post is for paying subscribers only |
posts[].audience |
string | everyone, only_paid or only_founding |
posts[].type |
string | newsletter, podcast, video or thread |
posts[].wordcount |
integer | Word count of the full post |
posts[].lang |
string | Post language code (e.g. en) |
posts[].cover_image_url |
string | Cover image URL, empty when none |
posts[].podcast_url |
string | Audio file URL for podcast posts, empty otherwise |
posts[].podcast_duration |
number | Podcast length in seconds, 0 otherwise |
posts[].tags |
string[] | Post tags |
posts[].authors |
array | All credited authors (username, name, user_id, url); author is the first |
posts[].replies |
integer | Number of replies to comments |
posts[].audio_url |
string | Substack’s narrated audio of the post (MP3), empty when none |
posts[].podcast_image_url |
string | Episode artwork for podcast posts, empty otherwise |
posts[].video_duration |
number | Video length in seconds for video posts, 0 otherwise |
posts[].publication |
string | Publication name |
posts[].publication_id |
integer/null | Publication ID (pass it as publication_id to the publication endpoints) |
posts[].publication_url |
string | Publication home URL |
posts[].slug |
string | Post URL slug |
posts[].post_id |
string | Post ID (pass it as post_id to the post endpoints) |
posts[].sentiment |
object/null | Emotion analysis results. Only present when get_sentiment=true. Returns null if analysis fails. |
posts[].sentiment.emotions |
object | Plutchik emotion scores (0-100) for: joy, trust, fear, surprise, sadness, disgust, anger, anticipation. |
posts[].sentiment.dominant_emotion |
string | The emotion with the highest score. |
posts[].sentiment.emotional_intensity |
integer | Overall emotional intensity on a scale of 0-10. |
posts[].sentiment.polarity |
string | Overall sentiment polarity: positive, negative, or neutral. |
count |
integer | Number of posts returned |
Example Request
cURL
curl "https://apidirect.io/v1/substack/trending" \
-H "X-API-Key: YOUR_API_KEY"
Python
import requests
response = requests.get(
"https://apidirect.io/v1/substack/trending",
headers={"X-API-Key": "YOUR_API_KEY"}
)
print(response.json())
Example Response
{
"count": 7,
"posts": [
{
"audience": "everyone",
"audio_url": "",
"author": "mattstoller",
"author_id": "759128",
"author_name": "Matt Stoller",
"author_url": "https://substack.com/@mattstoller",
"authors": [
{
"name": "Matt Stoller",
"url": "https://substack.com/@mattstoller",
"user_id": "759128",
"username": "mattstoller"
}
],
"comments": 23,
"cover_image_url": "https://substackcdn.com/image/fetch/$s_!uRXI!,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F…",
"date": "2026-10-10 19:18:47",
"domain": "substack.com",
"is_paid": false,
"lang": "en",
"likes": 172,
"podcast_duration": 0,
"podcast_image_url": "",
"podcast_url": "",
"post_id": "217288945",
"publication": "BIG by Matt Stoller",
"publication_id": "11524",
"publication_url": "https://www.thebignewsletter.com",
"reactions": {
"❤": 172
},
"replies": 0,
"restacks": 33,
"slug": "how-pharma-middlemen-turned-the-federal",
"snippet": "Everyone hates pharmacy benefit managers, or PBMs, the middlemen raising drug prices. So why did Trump FTC Chair Andrew Ferguson issue them a corporate pardon?",
"source": "Substack",
"subtitle": "Everyone hates pharmacy benefit managers, or PBMs, the middlemen raising drug prices. So why did Trump FTC Chair Andrew Ferguson issue them a corporate pardon?",
"tags": [
"pharmacy benefit managers"
],
"title": "How Trump Enforcers are Sabotaging Efforts to Bring Down Drug Prices",
"type": "newsletter",
"url": "https://www.thebignewsletter.com/p/how-pharma-middlemen-turned-the-federal",
"video_duration": 0,
"wordcount": 2205
}
]
}