# Brand Mentions Monitor (Reddit, News, YouTube, HN, Bluesky) (`ahmad_mahameed/brand-mentions-monitor`) Actor

Social listening for any brand, product or keyword: new mentions from Reddit, Google News, YouTube, Hacker News and Bluesky in one feed, with sentiment, engagement and an HTML report. Schedule it daily for alerts. An affordable Brand24 / Mention alternative: $1.50 per 1,000 mentions.

- **URL**: https://apify.com/ahmad_mahameed/brand-mentions-monitor.md
- **Developed by:** [Ahmad Mahameed](https://apify.com/ahmad_mahameed) (community)
- **Categories:** Social media, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 mentions

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### What does Brand Mentions Monitor do?

It's **social listening without the monthly subscription**. Give it your brand, product, competitor or any keyword, and it finds **new mentions across 5 sources in one run**:

| Source | What you get |
|---|---|
| **Reddit** | posts from every subreddit, with the subreddit and author |
| **Google News** | news articles from thousands of outlets, any country and language |
| **YouTube** | videos that mention you, with channel and views |
| **Hacker News** | stories and comments, with points |
| **Bluesky** | posts with likes, reposts and replies |

Every mention gets a **sentiment** label (positive, neutral, negative), and every run creates a **visual HTML report** with sentiment, sources, top communities and the latest mentions.

- 🔔 **Only new mentions**: schedule it daily and get only what's new, so you never pay twice for the same mention
- 🎯 **Exact match**: write your brand with a capital letter (`Notion`) to match only the brand, not the everyday word ("the notion that…")
- 🚫 **Exclude words** to remove noise
- 💲 **$1.50 per 1,000 mentions**. Tools like Brand24 or Mention start around $79 per month.

### Use cases

- **Brand monitoring** for startups, SaaS, e-commerce and local businesses
- **Competitor tracking**: what people say about your competitors, and where
- **PR and crisis alerts**: catch negative mentions early (connect to Slack or email)
- **Product feedback and ideas** from real users on Reddit and Hacker News
- **Lead discovery**: people asking for alternatives to a competitor
- **Founders and creators**: track your name and your launches

### Input

```json
{
  "keywords": ["Notion", "Supabase"],
  "sources": ["reddit", "hackernews", "bluesky", "news", "youtube"],
  "lookbackDays": 7,
  "onlyNewMentions": true,
  "exactMatch": true,
  "excludeKeywords": ["hiring"],
  "maxMentionsPerSource": 100,
  "newsLanguage": "en",
  "newsCountry": "US"
}
```

**Daily alerts in 1 minute:** open the **Schedules** tab, choose "every day", and set **Look back** to 2 days with **Only new mentions** on. Then add a Slack, email or webhook integration in the **Integrations** tab to receive each run's results.

### Output

One row per mention:

```json
{
  "keyword": "Supabase",
  "source": "Reddit",
  "type": "post",
  "title": "Moving from Firebase to Supabase, worth it?",
  "text": "We are a small team and Firebase costs are getting high...",
  "url": "https://www.reddit.com/r/webdev/comments/...",
  "author": "u/someone",
  "community": "r/webdev",
  "publishedAt": "2026-10-18T00:29:00+00:00",
  "engagement": {},
  "sentiment": "neutral",
  "sentimentScore": 0.05,
  "id": "Reddit:t3_1x8pm1q"
}
```

Each run also saves to its key-value store:

- **REPORT**: an HTML dashboard you can open in the browser or share
- **SUMMARY**: JSON totals by source, sentiment and top communities

### Pricing

**$0.0015 per mention** ($1.50 per 1,000). Platform and proxy costs are included. With **Only new mentions** on, scheduled runs only charge for mentions you haven't seen yet.

### Notes

- Sentiment is a fast word-based score. It's good for spotting trends and clearly negative posts, not for sarcasm.
- YouTube dates are estimated from YouTube's "x days ago".
- X (Twitter), Facebook, Instagram and LinkedIn need a login, so they are not included.

### More tools from this developer

- [YouTube Comments Scraper](https://apify.com/ahmad_mahameed/youtube-comments-scraper): comments and replies, $1 per 1,000
- [Google News Scraper](https://apify.com/ahmad_mahameed/google-news-scraper): news articles with real publisher URLs
- [Google Ads Transparency Scraper](https://apify.com/ahmad_mahameed/google-ads-transparency-scraper): every Google ad a competitor runs
- [Google Trends Scraper](https://apify.com/ahmad_mahameed/google-trends-scraper): interest over time, regions, rising queries

### Feedback

Want another source (for example Product Hunt, Mastodon or a forum)? Open an issue on the Issues tab and it will be added quickly.

# Actor input Schema

## `keywords` (type: `array`):

What to listen for: your brand, product, competitor, founder name or any topic. Each one is searched on every source.

## `sources` (type: `array`):

Where to look. Default is all five.

## `lookbackDays` (type: `integer`):

Only mentions from the last N days. For a daily schedule, 1 or 2 is enough.

## `onlyNewMentions` (type: `boolean`):

Skip mentions already returned by earlier runs with the same keywords. Turn on for scheduled alerts so you never pay twice for the same mention.

## `exactMatch` (type: `boolean`):

Keep only mentions that really contain your keyword (recommended). Off: also keep loose matches that the sources return.

## `excludeKeywords` (type: `array`):

Skip mentions that contain any of these words, for example to remove a different meaning of your brand name.

## `maxMentionsPerSource` (type: `integer`):

Caps the cost of each run.

## `newsLanguage` (type: `string`):

Language code for Google News, for example en, de, es, ar.

## `newsCountry` (type: `string`):

Two-letter country code for Google News, for example US, GB, DE, AE.

## Actor input object example

```json
{
  "keywords": [
    "notion"
  ],
  "sources": [
    "reddit",
    "hackernews",
    "bluesky",
    "news",
    "youtube"
  ],
  "lookbackDays": 7,
  "onlyNewMentions": true,
  "exactMatch": true,
  "maxMentionsPerSource": 100,
  "newsLanguage": "en",
  "newsCountry": "US"
}
```

# Actor output Schema

## `mentions` (type: `string`):

No description

## `report` (type: `string`):

No description

## `summary` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "notion"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ahmad_mahameed/brand-mentions-monitor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "keywords": ["notion"] }

# Run the Actor and wait for it to finish
run = client.actor("ahmad_mahameed/brand-mentions-monitor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "notion"
  ]
}' |
apify call ahmad_mahameed/brand-mentions-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ahmad_mahameed/brand-mentions-monitor"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/MmvgN3OmN3YaUg8HP/builds/OAJNfdw6aQNRgMw8d/openapi.json