# Reddit Keyword Monitor Alerts | Posts + Comments (`taroyamada/reddit-keyword-monitor-alerts`) Actor Monitor Reddit keywords, search queries, and subreddits with stateful diffing, new post/comment alerts, and webhook delivery. - **URL**: https://apify.com/taroyamada/reddit-keyword-monitor-alerts.md - **Developed by:** [åĪŠéƒŽ åąąį”°](https://apify.com/taroyamada) (community) - **Categories:** Social media, Automation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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/platform/actors/running/actors-in-store#pay-per-event ## 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 ## ðŸšĻ Reddit Keyword Monitor Alerts Focused Reddit keyword and subreddit monitor built for recurring alerts, snapshot diffing, and webhook handoff. ### Store Quickstart Run this actor with your target input. Results appear in the Apify Dataset and can be piped to webhooks for real-time delivery. Use `dryRun` to validate before committing to a schedule. ### Key Features - 📰 **News-first extraction** — Pulls clean headlines, bodies, bylines, and timestamps from public feeds - 🌐 **Multi-source support** — Aggregate multiple feeds or sites per run for unified downstream processing - ⏱ïļ **Freshness tracking** — Timestamps and delta detection highlight net-new content between runs - ðŸ“Ą **Webhook push delivery** — Stream alerts to Slack/Discord/email as soon as new content lands - 🔒 **Public-data only** — No login walls — transparent compliance with source terms ### Use Cases | Who | Why | |-----|-----| | Developers | Automate recurring data fetches without building custom scrapers | | Data teams | Pipe structured output into analytics warehouses | | Ops teams | Monitor changes via webhook alerts | | Product managers | Track competitor/market signals without engineering time | ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | keywords | array | — | Plain-text keywords for global Reddit monitoring. Used for post search plus recent comment scanning. | | searchQueries | array | — | Reddit search queries to monitor for new posts. Query-only routes do not search comments because public Reddit JSON does | | subreddits | array | — | Subreddits to monitor for new posts and comments (example: javascript). | | routes | array | — | Optional JSON objects for combined subreddit+keyword or subreddit+query routing. | | monitorComments | boolean | `true` | When enabled, scan recent comment streams where public endpoints support it. | | postLimit | integer | `25` | How many recent posts to inspect per route. | | commentLimit | integer | `50` | How many recent comments to inspect per route. | | sort | string | `"new"` | Sort used for post endpoints. For recurring monitoring, "new" is usually best. | #### Input Example ```json { "monitorComments": true, "postLimit": 25, "commentLimit": 50, "sort": "new", "time": "day", "timeoutMs": 15000, "delayMs": 1200, "snapshotKey": "reddit-keyword-monitor-snapshots", "maxSnapshotItems": 5000, "emitOnFirstRun": false, "delivery": "dataset", "dryRun": false } ```` ### Output | Field | Type | Description | |-------|------|-------------| | `meta` | object | | | `alerts` | array | | | `errors` | array | | #### Output Example ```json { "meta": { "generatedAt": "2026-04-10T17:06:25.060Z", "snapshotKey": "reddit-keyword-monitor-snapshots", "firstRun": true, "emitOnFirstRun": false, "routeCount": 7, "observedItems": 188, "alertCount": 0, "errorCount": 0, "blockedCount": 0, "suppressedOnFirstRun": 188, "notes": [], "delivery": "dataset" }, "alerts": [], "errors": [] } ``` ### API Usage Run this actor programmatically using the Apify API. Replace `YOUR_API_TOKEN` with your token from [Apify Console → Settings → Integrations](https://console.apify.com/account/integrations). #### cURL ```bash curl -X POST "https://api.apify.com/v2/acts/taroyamada~reddit-keyword-monitor-alerts/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "monitorComments": true, "postLimit": 25, "commentLimit": 50, "sort": "new", "time": "day", "timeoutMs": 15000, "delayMs": 1200, "snapshotKey": "reddit-keyword-monitor-snapshots", "maxSnapshotItems": 5000, "emitOnFirstRun": false, "delivery": "dataset", "dryRun": false }' ``` #### Python ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("taroyamada/reddit-keyword-monitor-alerts").call(run_input={ "monitorComments": true, "postLimit": 25, "commentLimit": 50, "sort": "new", "time": "day", "timeoutMs": 15000, "delayMs": 1200, "snapshotKey": "reddit-keyword-monitor-snapshots", "maxSnapshotItems": 5000, "emitOnFirstRun": false, "delivery": "dataset", "dryRun": false }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` #### JavaScript / Node.js ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const run = await client.actor('taroyamada/reddit-keyword-monitor-alerts').call({ "monitorComments": true, "postLimit": 25, "commentLimit": 50, "sort": "new", "time": "day", "timeoutMs": 15000, "delayMs": 1200, "snapshotKey": "reddit-keyword-monitor-snapshots", "maxSnapshotItems": 5000, "emitOnFirstRun": false, "delivery": "dataset", "dryRun": false }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` ### Tips & Limitations - Use `snapshotKey` to persist seen-item state across runs so only new items are pushed. - For high-volume feeds, limit `maxItems` per run and increase schedule frequency instead. - Webhook delivery payloads are compact — parse on receiver side for routing to multiple channels. - Combine this actor with `article-content-extractor` for full-text bodies when feeds are title-only. - Run against your own staging feed first to validate filter keywords before production alerts. ### FAQ **How often should I run this?** Hourly for breaking-news watchlists, daily for curated digests. Use Apify Schedules. **Does it deduplicate across runs?** Yes, via the `snapshotKey` persistence. Previously-seen items are skipped unless content changed. **Can I export to a database?** Use webhook delivery or pull from Apify Dataset API directly into Postgres/BigQuery/Snowflake. **How do I filter by keyword?** Most actors expose a `watchKeywords` or `filterKeywords` array — matches are flagged in the output with highlight metadata. **Can this work with paywalled content?** No — this actor only processes publicly accessible feed/article URLs. Paywalled content is out of scope. ### Related Actors News & Content cluster — explore related Apify tools: - [📰 Google News Scraper](https://apify.com/taroyamada/google-news-scraper) — Scrape Google News articles for any search query via official RSS feed. - [📰 Article Extractor](https://apify.com/taroyamada/article-content-extractor) — Extract clean article content with title, author, publish date, images from news and blog pages. - [📄 Website Content Extractor](https://apify.com/taroyamada/website-content-extractor) — Extract clean main content from any webpage as text, markdown, or HTML. - [ðŸ“Ą RSS Feed Aggregator](https://apify.com/taroyamada/rss-feed-aggregator) — Aggregate multiple RSS and Atom feeds with keyword filtering and deduplication. - [📰 Hacker News Scraper](https://apify.com/taroyamada/hacker-news-intelligence) — Fetch Hacker News top, new, best, ask, show, job stories via official Firebase API. - [ðŸ“Ą Reddit All-in-One Scraper](https://apify.com/taroyamada/reddit-all-in-one-scraper) — Scrape Reddit subreddits, posts, comments, user profiles, and search results via public JSON endpoints. ### Cost **Pay Per Event**: - `actor-start`: $0.01 (flat fee per run) - `dataset-item`: $0.003 per output item **Example**: 1,000 items = $0.01 + (1,000 × $0.003) = **$3.01** No subscription required — you only pay for what you use. # Actor input Schema ## `keywords` (type: `array`): Plain-text keywords for global Reddit monitoring. Used for post search plus recent comment scanning. ## `searchQueries` (type: `array`): Reddit search queries to monitor for new posts. Query-only routes do not search comments because public Reddit JSON does not expose comment search. ## `subreddits` (type: `array`): Subreddits to monitor for new posts and comments (example: javascript). ## `routes` (type: `array`): Optional JSON objects for combined subreddit+keyword or subreddit+query routing. ## `monitorComments` (type: `boolean`): When enabled, scan recent comment streams where public endpoints support it. ## `postLimit` (type: `integer`): How many recent posts to inspect per route. ## `commentLimit` (type: `integer`): How many recent comments to inspect per route. ## `sort` (type: `string`): Sort used for post endpoints. For recurring monitoring, "new" is usually best. ## `time` (type: `string`): Time filter used with top/relevance searches. ## `timeoutMs` (type: `integer`): HTTP timeout per request. ## `delayMs` (type: `integer`): Polite delay between route scans. ## `snapshotKey` (type: `string`): KeyValueStore key / local state file used for seen-item snapshots. ## `maxSnapshotItems` (type: `integer`): Keep the latest N seen posts/comments in the snapshot. ## `emitOnFirstRun` (type: `boolean`): If false, the first successful run establishes a baseline without emitting alerts. ## `delivery` (type: `string`): Where to send results. ## `webhookUrl` (type: `string`): Webhook URL to receive the full payload when delivery includes webhook. ## `dryRun` (type: `boolean`): Run without writing snapshots or sending external delivery. ## Actor input object example ```json { "monitorComments": true, "postLimit": 25, "commentLimit": 50, "sort": "new", "time": "day", "timeoutMs": 15000, "delayMs": 1200, "snapshotKey": "reddit-keyword-monitor-snapshots", "maxSnapshotItems": 5000, "emitOnFirstRun": false, "delivery": "dataset", "dryRun": false } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("taroyamada/reddit-keyword-monitor-alerts").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`ðŸ’ū 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 = {} # Run the Actor and wait for it to finish run = client.actor("taroyamada/reddit-keyword-monitor-alerts").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("ðŸ’ū 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 '{}' | apify call taroyamada/reddit-keyword-monitor-alerts --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=taroyamada/reddit-keyword-monitor-alerts", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Keyword Monitor Alerts | Posts + Comments", "description": "Monitor Reddit keywords, search queries, and subreddits with stateful diffing, new post/comment alerts, and webhook delivery.", "version": "0.1", "x-build-id": "N4PB3iYyOWcufi4Mt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/taroyamada~reddit-keyword-monitor-alerts/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-taroyamada-reddit-keyword-monitor-alerts", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/taroyamada~reddit-keyword-monitor-alerts/runs": { "post": { "operationId": "runs-sync-taroyamada-reddit-keyword-monitor-alerts", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/taroyamada~reddit-keyword-monitor-alerts/run-sync": { "post": { "operationId": "run-sync-taroyamada-reddit-keyword-monitor-alerts", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "keywords": { "title": "Global Keywords", "type": "array", "description": "Plain-text keywords for global Reddit monitoring. Used for post search plus recent comment scanning.", "items": { "type": "string" } }, "searchQueries": { "title": "Search Queries", "type": "array", "description": "Reddit search queries to monitor for new posts. Query-only routes do not search comments because public Reddit JSON does not expose comment search.", "items": { "type": "string" } }, "subreddits": { "title": "Subreddits", "type": "array", "description": "Subreddits to monitor for new posts and comments (example: javascript).", "items": { "type": "string" } }, "routes": { "title": "Advanced Routes", "type": "array", "description": "Optional JSON objects for combined subreddit+keyword or subreddit+query routing." }, "monitorComments": { "title": "Monitor Comments", "type": "boolean", "description": "When enabled, scan recent comment streams where public endpoints support it.", "default": true }, "postLimit": { "title": "Post Limit per Route", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many recent posts to inspect per route.", "default": 25 }, "commentLimit": { "title": "Comment Limit per Route", "minimum": 1, "maximum": 100, "type": "integer", "description": "How many recent comments to inspect per route.", "default": 50 }, "sort": { "title": "Post Sort", "enum": [ "new", "hot", "top", "rising", "relevance", "comments" ], "type": "string", "description": "Sort used for post endpoints. For recurring monitoring, \"new\" is usually best.", "default": "new" }, "time": { "title": "Time Filter", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time filter used with top/relevance searches.", "default": "day" }, "timeoutMs": { "title": "Timeout (ms)", "minimum": 3000, "maximum": 60000, "type": "integer", "description": "HTTP timeout per request.", "default": 15000 }, "delayMs": { "title": "Delay Between Routes (ms)", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Polite delay between route scans.", "default": 1200 }, "snapshotKey": { "title": "Snapshot Key", "type": "string", "description": "KeyValueStore key / local state file used for seen-item snapshots.", "default": "reddit-keyword-monitor-snapshots" }, "maxSnapshotItems": { "title": "Max Snapshot Items", "minimum": 100, "maximum": 50000, "type": "integer", "description": "Keep the latest N seen posts/comments in the snapshot.", "default": 5000 }, "emitOnFirstRun": { "title": "Emit On First Run", "type": "boolean", "description": "If false, the first successful run establishes a baseline without emitting alerts.", "default": false }, "delivery": { "title": "Delivery", "enum": [ "dataset", "webhook", "both", "none" ], "type": "string", "description": "Where to send results.", "default": "dataset" }, "webhookUrl": { "title": "Webhook URL", "type": "string", "description": "Webhook URL to receive the full payload when delivery includes webhook." }, "dryRun": { "title": "Dry Run", "type": "boolean", "description": "Run without writing snapshots or sending external delivery.", "default": false } } }, "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 } } } } } } } } } } ```