# Brand Mention & OSINT Monitor (`second_coming/brand-mention-monitor`) Actor Monitor brand mentions across Reddit, Hacker News, Pastebin, GitHub, and web forums. Detect data leaks, security incidents, and track brand sentiment with urgency flags. - **URL**: https://apify.com/second\_coming/brand-mention-monitor.md - **Developed by:** [Richard P](https://apify.com/second_coming) (community) - **Categories:** Developer tools, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## Brand Mention & OSINT Monitor **Monitor your brand across Reddit, Hacker News, Pastebin, GitHub, and the web.** Detect data leaks, security incidents, and track brand sentiment in real time. ### What it does Scans multiple public sources for mentions of your brand, product, or keywords. Each mention is enriched with: - **Sentiment analysis** — positive, negative, or neutral (keyword-based) - **Urgency flagging** — automatically marks mentions containing leak/breach/vulnerability keywords - **Source attribution** — knows where it came from and who posted it Found something urgent? It can push a webhook alert so your security or PR team can respond immediately. ### Sources | Source | What it searches | |--------|-----------------| | **Reddit** | Posts and comments across all subreddits | | **Hacker News** | Stories and discussions | | **Pastebin** | Recent public pastes for keyword matches | | **GitHub** | Code files + issues mentioning your brand | | **Web** | General web search via DuckDuckGo | ### Input | Field | Type | Description | |-------|------|-------------| | `keywords` | array | **Required.** Brand names or terms to monitor | | `sources` | array | Platforms to scan (default: all) | | `maxResults` | integer | Max results per source per keyword (default: 20) | | `urgencyKeywords` | array | Custom urgency trigger words (e.g., "data breach") | | `webhookUrl` | string | URL for urgent mention alerts | #### Example Input ```json { "keywords": ["YourBrand", "YourProduct"], "sources": ["reddit", "hackernews", "pastebin", "github", "web"], "maxResults": 20, "urgencyKeywords": ["leak", "breach", "exploit"], "webhookUrl": "https://hooks.example.com/osint-alerts" } ```` ### Output Each mention includes: `source`, `keyword`, `title`, `snippet`, `url`, `sentiment`, `is_urgent`, plus source-specific fields like `author`, `score`, `repo`. #### Webhook Payload When urgent mentions are found, a POST is sent to your webhook URL: ```json { "event": "urgent_mentions_detected", "keywords": ["YourBrand"], "total_mentions": 42, "urgent_count": 3, "mentions": [ { "source": "pastebin", "keyword": "YourBrand", "title": "Untitled", "url": "https://pastebin.com/abc123", "sentiment": "negative" } ] } ``` ### Use Cases - **Security teams** — get alerted when credentials or internal data appear on paste sites - **PR / Comms** — track brand sentiment shifts across social and news - **Competitive intelligence** — monitor competitor mentions and community sentiment - **Product teams** — find bug reports, feature requests, and user feedback - **Legal / Compliance** — detect trademark misuse or brand impersonation # Actor input Schema ## `keywords` (type: `array`): List of brand names, products, or keywords to search for across the web, social media, and paste sites. ## `sources` (type: `array`): Which platforms to scan for mentions. ## `maxResults` (type: `integer`): Maximum number of results to collect per source per keyword. ## `urgencyKeywords` (type: `array`): Keywords that flag a mention as urgent (e.g., leak, breach, exploit, password, dump, compromised). Customise for your brand's risk profile. ## `webhookUrl` (type: `string`): URL to POST urgent mentions to for real-time alerting. ## Actor input object example ```json { "keywords": [ "your-brand-name", "your-product-name" ], "sources": [ "reddit", "hackernews", "pastebin", "github", "web" ], "maxResults": 20, "urgencyKeywords": [ "leak", "breach", "exploit", "password", "dump", "compromised", "vulnerability", "ransomware", "data breach" ] } ``` # Actor output Schema ## `results` (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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "your-brand-name", "your-product-name" ], "sources": [ "reddit", "hackernews", "pastebin", "github", "web" ], "urgencyKeywords": [ "leak", "breach", "exploit", "password", "dump", "compromised", "vulnerability", "ransomware", "data breach" ], "webhookUrl": "" }; // Run the Actor and wait for it to finish const run = await client.actor("second_coming/brand-mention-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "keywords": [ "your-brand-name", "your-product-name", ], "sources": [ "reddit", "hackernews", "pastebin", "github", "web", ], "urgencyKeywords": [ "leak", "breach", "exploit", "password", "dump", "compromised", "vulnerability", "ransomware", "data breach", ], "webhookUrl": "", } # Run the Actor and wait for it to finish run = client.actor("second_coming/brand-mention-monitor").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 '{ "keywords": [ "your-brand-name", "your-product-name" ], "sources": [ "reddit", "hackernews", "pastebin", "github", "web" ], "urgencyKeywords": [ "leak", "breach", "exploit", "password", "dump", "compromised", "vulnerability", "ransomware", "data breach" ], "webhookUrl": "" }' | apify call second_coming/brand-mention-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=second_coming/brand-mention-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Brand Mention & OSINT Monitor", "description": "Monitor brand mentions across Reddit, Hacker News, Pastebin, GitHub, and web forums. Detect data leaks, security incidents, and track brand sentiment with urgency flags.", "version": "0.0", "x-build-id": "CmLR7vH5Q5xVPhDqn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/second_coming~brand-mention-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-second_coming-brand-mention-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/second_coming~brand-mention-monitor/runs": { "post": { "operationId": "runs-sync-second_coming-brand-mention-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/second_coming~brand-mention-monitor/run-sync": { "post": { "operationId": "run-sync-second_coming-brand-mention-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "keywords" ], "properties": { "keywords": { "title": "Keywords / Brands to Monitor", "type": "array", "description": "List of brand names, products, or keywords to search for across the web, social media, and paste sites." }, "sources": { "title": "Sources to Search", "type": "array", "description": "Which platforms to scan for mentions." }, "maxResults": { "title": "Max Results Per Source", "type": "integer", "description": "Maximum number of results to collect per source per keyword.", "default": 20 }, "urgencyKeywords": { "title": "Urgency Flag Keywords", "type": "array", "description": "Keywords that flag a mention as urgent (e.g., leak, breach, exploit, password, dump, compromised). Customise for your brand's risk profile." }, "webhookUrl": { "title": "Webhook URL (optional)", "type": "string", "description": "URL to POST urgent mentions to for real-time alerting." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```