Reddit Trends API
Reddit discussion volume and subreddit growth over time. Free key at trendsapi.ai
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
claude mcp add --transport http reddit-trends-api 'https://reddit.api.trendsapi.ai/mcp' --header 'Authorization: <Bearer token. Get your free API key at https://trendsapi.ai>'
{
"mcpServers": {
"reddit-trends-api": {
"type": "http",
"url": "https://reddit.api.trendsapi.ai/mcp",
"headers": {
"Authorization": "<Bearer token. Get your free API key at https://trendsapi.ai>"
}
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
Reddit discussion-attention API
Reddit attention trends via the Trends API. Subreddit history, growth, and live hot posts. Not PRAW.
Key: trendsapi.ai/#get-key. HTTP contract and every source: trendsapi-ai/trendsapi.
Authentication
pip install trendsapi-reddit
export TRENDSAPI_KEY=your_key
Python 3.9+. Same key as the HTTP API.
from trendsapi_reddit import TrendsAPI
client = TrendsAPI() # TRENDSAPI_KEY
# client = TrendsAPI(api_key="YOUR_KEY")
Keyword helpers default to source: "reddit". Pass source= to hit any other platform with the same client. Official full client (every source, no preset): trendsapi.
Methods
| Method | REST mode | Returns |
|---|---|---|
get_time_series(keyword, source=, data_mode=) | get_time_series | list[TrendsDataPoint] |
get_growth(keyword, percent_growth=, source=, data_mode=) | get_growth | GetGrowthResponse |
get_live(limit=, offset=, category=) | get_top_trends | GetTopTrendsResponse |
get_top_trends(type=, ...) | get_top_trends | GetTopTrendsResponse |
source is lowercase (reddit). type is exact (Reddit Hot Posts). Mixing them is a 400.
from trendsapi_reddit import TrendsAPI
client = TrendsAPI() # TRENDSAPI_KEY
# client = TrendsAPI(api_key="YOUR_KEY")
series = client.get_time_series("wallstreetbets")
print(series[-1].date, series[-1].value)
growth = client.get_growth("wallstreetbets", percent_growth=["3M", "12M"])
print(growth.results[0].growth, growth.results[0].direction)
hot = client.get_live(limit=10)
print(hot.data) # [[1, "..."], ...]
get_time_series
points = client.get_time_series("wallstreetbets")
Each point:
| Field | Always | Meaning |
|---|---|---|
date | yes | YYYY-MM-DD |
value | yes | 0-100 index for this series |
keyword | yes | Echo |
volume | no | Absolute volume when available |
source or datatype | no | Pipeline label |
Python returns list[TrendsDataPoint]. Use .date and .value, not ["date"].
JS returns the same fields as object properties.
get_growth
g = client.get_growth("wallstreetbets", percent_growth=["12M", "3M", "YTD"])
print(g.results[0].growth, g.results[0].direction)
percent_growth default: ["12M"]. Presets: 7D 14D 30D 1M 2M 3M 6M 9M 12M/1Y 18M 24M/2Y 36M/3Y 48M 60M/5Y MTD QTD YTD. Custom: {"name": "Launch", "recent": "2024-06-01", "baseline": "2024-01-01"}.
| Field | Meaning |
|---|---|
search_term | Keyword |
data_source | Source |
results | One object per window (period, growth, direction, dates, values) |
metadata | Counts / success flag |
Several windows still count as one request. Python: growth.results[0].growth. JS: growth.results[0].growth.
get_live
hot = client.get_live(limit=10)
| Field | Meaning |
|---|---|
as_of_ts | Snapshot time |
type | Feed name |
limit, offset, count | Pagination |
data | [rank, label] rows |
Python: hot.data. JS: hot.data. Optional offset= and category= (Amazon Best Sellers by Category, Top Websites only).
Async
import asyncio
from trendsapi_reddit import AsyncTrendsAPI
async def main():
c = AsyncTrendsAPI()
return await asyncio.gather(
c.get_time_series("wallstreetbets"),
c.get_time_series("wallstreetbets", source="google search"),
)
asyncio.run(main())
Each 200 is one billed request.
Pandas
from dataclasses import asdict
import pandas as pd
from trendsapi_reddit import TrendsAPI
df = pd.DataFrame(asdict(p) for p in TrendsAPI().get_time_series("wallstreetbets"))
df["date"] = pd.to_datetime(df["date"])
print(df.set_index("date")["value"].resample("ME").mean().tail())
Call (curl)
| Field | Value |
|---|---|
| Endpoint | POST https://api.trendsapi.ai/api |
| Auth | Authorization: Bearer $TRENDSAPI_KEY |
| History | source: reddit with get_time_series or get_growth |
| Keyword | Subreddit or topic, no r/ prefix, e.g. wallstreetbets |
Live type | Reddit Hot Posts, Reddit World News |
curl -sS -X POST https://api.trendsapi.ai/api \
-H "Authorization: Bearer $TRENDSAPI_KEY" \
-H "Content-Type: application/json" \
-d '{"mode":"get_time_series","source":"reddit","keyword":"wallstreetbets"}'
Source notes
sourceis alwaysreddit. The community goes inkeyword.valueis not subscriber count.- You cannot post, vote, or stream comments.
Errors
| HTTP | Client |
|---|---|
| 200 | Parsed payload. Python dataclasses / JS typed objects |
| 400 | Raises. Fix source or type spelling |
| 401 | Raises. Check TRENDSAPI_KEY |
| 404 | Raises. No series for that keyword. Do not retry |
| 429 | Raises. Quota |
| 5xx | Client retries, then raises |
The HTTP body field is a JSON string. SDKs decode it. Raw curl must parse body a second time.
Site: https://trendsapi.ai/trends/reddit-trends.
License
MIT. See LICENSE.
Frequently asked questions
What is Reddit Trends API?
Reddit discussion volume and subreddit growth over time. Free key at trendsapi.ai
How do I install Reddit Trends API?
It runs as a remote server. In Claude Code: claude mcp add --transport http reddit-trends-api 'https://reddit.api.trendsapi.ai/mcp' --header 'Authorization: <Bearer token. Get your free API key at https://trendsapi.ai>'. For other clients, paste the JSON configuration from this page into their MCP settings.
Does Reddit Trends API need an API key?
Yes. It expects Authorization, which you set in its configuration.
Is Reddit Trends API open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains Reddit Trends API?
It is published by trendsapi-ai. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.