Reddit Mentions API

Retrieve ticker mention counts across Reddit investing communities. Track how often a stock is discussed on WallStreetBets, r/stocks, and other subreddits with data collected every 4 hours.

Endpoint

GET /v2/reddit-mentions/{symbol}

Authentication

The API supports multiple authentication methods:

Method	Example
Bearer token (recommended)	Authorization: Bearer YOUR_API_KEY
X-API-Key header	X-API-Key: YOUR_API_KEY
Query parameter	?apiKey=YOUR_API_KEY
Legacy query parameter	?token=YOUR_API_KEY

Parameters

Path Parameters

Parameter	Type	Required	Description
symbol	string	Yes	Stock ticker symbol (e.g., TSLA, GME)

Query Parameters

Parameter	Type	Required	Description
startDate	string	No	Start date (YYYY-MM-DD)
endDate	string	No	End date (YYYY-MM-DD)
limit	integer	No	Maximum number of results to return (1-500)

Request

Python SDK

from finbrain import FinBrainClient

fb = FinBrainClient(api_key="YOUR_API_KEY")

df = fb.reddit_mentions.ticker("TSLA",
                                date_from="2026-03-01",
                                date_to="2026-03-16",
                                as_dataframe=True)
print(df)

cURL

curl -H "Authorization: Bearer YOUR_API_KEY" \
  "https://api.finbrain.tech/v2/reddit-mentions/TSLA"

Python (requests)

import requests

headers = {"Authorization": "Bearer YOUR_API_KEY"}

response = requests.get(
    "https://api.finbrain.tech/v2/reddit-mentions/TSLA",
    headers=headers,
    params={"limit": 10}
)
data = response.json()

for d in data["data"]["data"]:
    print(f"{d['date']} r/{d['subreddit']}: {d['mentions']} mentions")

C++

#include <iostream>
#include <string>
#include <curl/curl.h>
#include <nlohmann/json.hpp>

using json = nlohmann::json;

size_t WriteCallback(void* contents, size_t size, size_t nmemb, std::string* userp) {
    userp->append((char*)contents, size * nmemb);
    return size * nmemb;
}

json get_reddit_mentions(const std::string& symbol, const std::string& api_key) {
    CURL* curl = curl_easy_init();
    std::string response;

    if (curl) {
        std::string url = "https://api.finbrain.tech/v2/reddit-mentions/" + symbol;

        struct curl_slist* headers = nullptr;
        std::string auth_header = "Authorization: Bearer " + api_key;
        headers = curl_slist_append(headers, auth_header.c_str());

        curl_easy_setopt(curl, CURLOPT_URL, url.c_str());
        curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
        curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, WriteCallback);
        curl_easy_setopt(curl, CURLOPT_WRITEDATA, &response);
        curl_easy_perform(curl);
        curl_slist_free_all(headers);
        curl_easy_cleanup(curl);
    }

    return json::parse(response);
}

int main() {
    auto result = get_reddit_mentions("TSLA", "YOUR_API_KEY");

    for (auto& d : result["data"]["data"]) {
        std::cout << d["date"].get<std::string>() << " r/"
                  << d["subreddit"].get<std::string>() << ": "
                  << d["mentions"].get<int>() << " mentions"
                  << std::endl;
    }

    return 0;
}

Rust

use reqwest::blocking::Client;
use serde::Deserialize;
use std::error::Error;

#[derive(Debug, Deserialize)]
struct RedditMention {
    date: String,
    subreddit: String,
    mentions: i64,
}

#[derive(Debug, Deserialize)]
struct RedditMentionsData {
    symbol: String,
    name: String,
    data: Vec<RedditMention>,
}

#[derive(Debug, Deserialize)]
struct RedditMentionsResponse {
    success: bool,
    data: RedditMentionsData,
}

fn get_reddit_mentions(symbol: &str, api_key: &str)
    -> Result<RedditMentionsResponse, Box<dyn Error>> {
    let url = format!(
        "https://api.finbrain.tech/v2/reddit-mentions/{}",
        symbol
    );

    let client = Client::new();
    let response: RedditMentionsResponse = client
        .get(&url)
        .bearer_auth(api_key)
        .send()?
        .json()?;

    Ok(response)
}

fn main() -> Result<(), Box<dyn Error>> {
    let result = get_reddit_mentions("TSLA", "YOUR_API_KEY")?;

    for d in &result.data.data {
        println!("{} r/{}: {} mentions", d.date, d.subreddit, d.mentions);
    }

    Ok(())
}

JavaScript

const response = await fetch(
  "https://api.finbrain.tech/v2/reddit-mentions/TSLA",
  { headers: { "Authorization": "Bearer YOUR_API_KEY" } }
);
const result = await response.json();

for (const d of result.data.data) {
  console.log(`${d.date} r/${d.subreddit}: ${d.mentions} mentions`);
}

Response

Success Response (200 OK)

{
  "success": true,
  "data": {
    "symbol": "TSLA",
    "name": "Tesla, Inc.",
    "data": [
      {
        "date": "2026-03-16T14:00:00.000Z",
        "subreddit": "_all",
        "mentions": 57
      },
      {
        "date": "2026-03-16T14:00:00.000Z",
        "subreddit": "wallstreetbets",
        "mentions": 45
      },
      {
        "date": "2026-03-16T14:00:00.000Z",
        "subreddit": "stocks",
        "mentions": 12
      }
    ]
  },
  "meta": {
    "timestamp": "2026-03-17T15:05:59.853Z"
  }
}

Response Fields

Field	Type	Description
success	boolean	Whether the request was successful
data.symbol	string	Stock ticker symbol
data.name	string	Company name
data.data	array	Array of mention count objects
meta.timestamp	string	Response timestamp (ISO 8601)

Data Object Fields

Field	Type	Description
date	string	Snapshot timestamp (ISO 8601)
subreddit	string	Subreddit name, or _all for aggregate total across all subreddits
mentions	integer	Number of ticker mentions in this snapshot

Errors

Code	Error	Description
400	Bad Request	Invalid symbol or parameters
401	Unauthorized	Invalid or missing API key
403	Forbidden	Authenticated, but not authorized to access this resource
404	Not Found	Ticker not found
429	Too Many Requests	Rate limit exceeded — wait and retry
500	Internal Server Error	Server-side error

Related

• Reddit Mentions Dataset - Use cases and analysis examples
• Stock Screener API - Screen Reddit mentions across tickers
• Stock Sentiment API - News sentiment scores
• Stock News API - News articles with sentiment