Reddit Trends API

Reddit discussion volume and subreddit growth over time. Free key at trendsapi.ai

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "reddit-trends-api-2": {
      "command": "uvx",
      "args": [
        "trendsapi-reddit"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

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

Terminal

pip install trendsapi-reddit
export TRENDSAPI_KEY=your_key

Python 3.9+. Same key as the HTTP API.

server.ts

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.

server.ts

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

python

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

python

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

python

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

server.ts

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

server.ts

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

Terminal

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

source is always reddit. The community goes in keyword.
value is 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.

Related MCP Servers

View all in Social Media View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Reddit Trends API

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "reddit-trends-api": { "command": "npx", "args": ["-y", "Reddit Trends API"] } }

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Technical Specs & Signals

CategorySocial Media

40Quality signal: Fair · 40/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity4/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 3h ago via OSV.dev · trendsapi-reddit (PyPI)

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Reddit Trends API

Reddit discussion volume and subreddit growth over time. Free key at trendsapi.ai

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "reddit-trends-api-2": {
      "command": "uvx",
      "args": [
        "trendsapi-reddit"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

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

Terminal

pip install trendsapi-reddit
export TRENDSAPI_KEY=your_key

Python 3.9+. Same key as the HTTP API.

server.ts

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.

server.ts

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

python

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

python

g = client.get_growth("wallstreetbets", percent_growth=["12M", "3M", "YTD"])
print(g.results[0].growth, g.results[0].direction)

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

python

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

server.ts

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

server.ts

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

Terminal

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

source is always reddit. The community goes in keyword.
value is 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.

Related MCP Servers

View all in Social Media View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Reddit Trends API

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "reddit-trends-api": { "command": "npx", "args": ["-y", "Reddit Trends API"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/reddit-trends-api-2?style=directory)](https://allmcps.com/mcp/reddit-trends-api-2)

HTML Embed

<a href="https://allmcps.com/mcp/reddit-trends-api-2"><img src="https://allmcps.com/api/badge/reddit-trends-api-2?style=directory" alt="Reddit Trends API on AllMCPs" /></a>

Technical Specs & Signals

CategorySocial Media

40Quality signal: Fair · 40/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity4/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 3h ago via OSV.dev · trendsapi-reddit (PyPI)

★ Spotlight Slot

Feature Your MCP Server

Get maximum visibility for your server across our directory, search results, and detail pages.

Spotlight Your Server

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 🌐 Social Media →Best MCP servers for Social Media →Alternatives to Reddit Trends API →Install in Claude Desktop Install in Cursor Install in VS Code