# Social Listening Intelligence (`magicfingers/social-listening-intelligence`) Actor

Monitor brand/topic mentions across Reddit, HackerNews, Google News, and Twitter/X. Uses LLM to produce intelligence reports with sentiment analysis, crisis detection, and actionable insights.

- **URL**: https://apify.com/magicfingers/social-listening-intelligence.md
- **Developed by:** [abdulrahman alrashid](https://apify.com/magicfingers) (community)
- **Categories:** Other
- **Stats:** 28 total users, 5 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

# Actor input Schema

## `brandOrTopic` (type: `string`):

The brand name, product, or topic to monitor across social media and news.

## `additionalKeywords` (type: `array`):

Related terms to include in searches (e.g., product names, common misspellings, hashtags).

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

Terms to filter out irrelevant results (e.g., unrelated meanings of the brand name).

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

Which platforms to search. Leave empty for all sources.

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

Maximum number of mentions to scrape from each source.

## `llmProvider` (type: `string`):

Which LLM provider to use for analysis. If no API key is provided, raw mentions are returned without analysis.

## `llmApiKey` (type: `string`):

API key for the selected LLM provider. Optional — if not provided, raw mentions are returned without AI analysis.

## `llmModel` (type: `string`):

Model to use for analysis.

## `language` (type: `string`):

Language for search queries and report output.

## `proxyConfiguration` (type: `object`):

Proxy settings for web scraping. Recommended for avoiding blocks.

## Actor input object example

```json
{
  "brandOrTopic": "Notion",
  "additionalKeywords": [],
  "excludeKeywords": [],
  "sources": [
    "reddit",
    "hackernews",
    "news",
    "twitter"
  ],
  "maxMentionsPerSource": 3,
  "llmProvider": "openai",
  "llmModel": "gpt-4o-mini",
  "language": "English",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# 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 = {
    "brandOrTopic": "Notion",
    "additionalKeywords": [],
    "excludeKeywords": [],
    "sources": [
        "reddit",
        "hackernews",
        "news",
        "twitter"
    ],
    "maxMentionsPerSource": 3,
    "llmProvider": "openai",
    "llmModel": "gpt-4o-mini",
    "language": "English",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("magicfingers/social-listening-intelligence").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 = {
    "brandOrTopic": "Notion",
    "additionalKeywords": [],
    "excludeKeywords": [],
    "sources": [
        "reddit",
        "hackernews",
        "news",
        "twitter",
    ],
    "maxMentionsPerSource": 3,
    "llmProvider": "openai",
    "llmModel": "gpt-4o-mini",
    "language": "English",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("magicfingers/social-listening-intelligence").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "brandOrTopic": "Notion",
  "additionalKeywords": [],
  "excludeKeywords": [],
  "sources": [
    "reddit",
    "hackernews",
    "news",
    "twitter"
  ],
  "maxMentionsPerSource": 3,
  "llmProvider": "openai",
  "llmModel": "gpt-4o-mini",
  "language": "English",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call magicfingers/social-listening-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=magicfingers/social-listening-intelligence",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/R797qx6HeXHuvJ4MT/builds/OmZGm5mS0hOATeRCu/openapi.json