# Reddit Crypto Monitor — Track Mentions, Trends & Sentiment (`makework36/reddit-crypto-monitor`) Actor Monitor Reddit for cryptocurrency mentions, trending coins, sentiment and investment discussions. Scrapes r/CryptoCurrency, r/Bitcoin, r/ethereum, r/CryptoMoonShots and more. Perfect for traders and researchers. - **URL**: https://apify.com/makework36/reddit-crypto-monitor.md - **Developed by:** [oscar lira](https://apify.com/makework36) (community) - **Categories:** AI, Lead generation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 results 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 ## Reddit Crypto Monitor Monitor cryptocurrency discussions on Reddit. Searches across crypto subreddits for posts matching your keywords and returns structured post data. ### What data does it extract? | Field | Description | |-------|-------------| | `title` | Post title | | `subreddit` | Subreddit name | | `author` | Reddit username | | `score` | Net upvotes | | `numComments` | Comment count | | `url` | Reddit permalink | | `selftext` | Post body text (up to 2000 chars) | | `created` | Post creation date (ISO 8601) | | `keyword` | Which keyword matched this post | | `flair` | Post flair text | ### Use cases - **Market sentiment** -- Track what coins people are talking about and whether the tone is bullish or bearish - **New project discovery** -- Find early mentions of new tokens or DeFi protocols before they trend - **Research data** -- Collect discussion data from crypto communities for analysis or content creation ### How to use Default keywords (general crypto topics): ```json { "maxResults": 100, "sortBy": "new" } ```` Custom keywords: ```json { "keywords": ["solana ecosystem", "layer 2 rollups", "memecoin season"], "maxResults": 200, "sortBy": "hot", "includeComments": true } ``` ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `keywords` | string\[] | `["best crypto to buy", "altcoin gem", "bull run", "new project launch", "undervalued coin"]` | Search terms to look for | | `maxResults` | integer | `50` | Max posts to return (1-500) | | `sortBy` | string | `"new"` | Sort order: `new`, `hot`, or `top` | | `includeComments` | boolean | `false` | Include top-level comments from each post | **Subreddits searched:** r/CryptoCurrency, r/Bitcoin, r/ethereum, r/altcoin, r/CryptoMoonShots, r/defi ### Output example ```json { "id": "t3_1k2abc", "subreddit": "CryptoCurrency", "title": "ETH just broke $4k again - is this the start of a real rally?", "author": "crypto_watcher42", "score": 847, "upvoteRatio": 0.91, "numComments": 234, "url": "https://www.reddit.com/r/CryptoCurrency/comments/1k2abc/...", "selftext": "After months of consolidation, ETH finally pushed through...", "created": "2026-03-27T15:30:00.000Z", "keyword": "bull run", "scrapedAt": "2026-03-28T10:00:00.000Z" } ``` ### Performance & cost - Runs in 1-3 minutes depending on the number of keywords and results - Uses another actor internally (reddit-scraper) so costs include that actor's compute time - Each keyword triggers a separate search run ### FAQ **Can I add my own subreddits?** The subreddit list is built into the actor. For custom subreddits, use the Reddit Scraper Turbo actor directly. **How often should I run it?** For monitoring, schedule it daily or hourly. The `sortBy: "new"` setting gives you the latest posts each time. **Does it catch every mention?** It searches Reddit's search API, which covers most posts. Very new posts (under a few minutes old) may not appear in search results yet. # Actor input Schema ## `keywords` (type: `array`): Crypto-related keywords to search for. ## `subreddits` (type: `array`): Crypto subreddits to search in (without r/ prefix). ## `sort` (type: `string`): How to sort the posts within each subreddit or search results. ## `timeFilter` (type: `string`): Time range for top sort. Only applies when sort is set to top. ## `maxResults` (type: `integer`): Maximum number of posts to return (1-500). ## `includeComments` (type: `boolean`): If enabled, fetches the top-level comments for each post. ## `maxCommentsPerPost` (type: `integer`): Maximum number of top-level comments to fetch per post. ## `proxyConfig` (type: `object`): Apify proxy settings for Reddit requests. ## Actor input object example ```json { "keywords": [ "best crypto to buy", "altcoin gem", "bull run", "new project launch", "undervalued coin" ], "subreddits": [ "CryptoCurrency", "Bitcoin", "ethereum", "altcoin", "CryptoMoonShots", "defi" ], "sort": "new", "timeFilter": "day", "maxResults": 100, "includeComments": false, "maxCommentsPerPost": 10, "proxyConfig": { "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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "best crypto to buy", "altcoin gem", "bull run", "new project launch", "undervalued coin" ], "subreddits": [ "CryptoCurrency", "Bitcoin", "ethereum", "altcoin", "CryptoMoonShots", "defi" ] }; // Run the Actor and wait for it to finish const run = await client.actor("makework36/reddit-crypto-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": [ "best crypto to buy", "altcoin gem", "bull run", "new project launch", "undervalued coin", ], "subreddits": [ "CryptoCurrency", "Bitcoin", "ethereum", "altcoin", "CryptoMoonShots", "defi", ], } # Run the Actor and wait for it to finish run = client.actor("makework36/reddit-crypto-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": [ "best crypto to buy", "altcoin gem", "bull run", "new project launch", "undervalued coin" ], "subreddits": [ "CryptoCurrency", "Bitcoin", "ethereum", "altcoin", "CryptoMoonShots", "defi" ] }' | apify call makework36/reddit-crypto-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=makework36/reddit-crypto-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Crypto Monitor — Track Mentions, Trends & Sentiment", "description": "Monitor Reddit for cryptocurrency mentions, trending coins, sentiment and investment discussions. Scrapes r/CryptoCurrency, r/Bitcoin, r/ethereum, r/CryptoMoonShots and more. Perfect for traders and researchers.", "version": "1.0", "x-build-id": "Ezq5dft4abyIgRcR3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/makework36~reddit-crypto-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-makework36-reddit-crypto-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/makework36~reddit-crypto-monitor/runs": { "post": { "operationId": "runs-sync-makework36-reddit-crypto-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/makework36~reddit-crypto-monitor/run-sync": { "post": { "operationId": "run-sync-makework36-reddit-crypto-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "keywords": { "title": "Search Keywords", "type": "array", "description": "Crypto-related keywords to search for.", "items": { "type": "string" } }, "subreddits": { "title": "Subreddits", "type": "array", "description": "Crypto subreddits to search in (without r/ prefix).", "items": { "type": "string" } }, "sort": { "title": "Sort Order", "enum": [ "hot", "new", "top", "rising" ], "type": "string", "description": "How to sort the posts within each subreddit or search results.", "default": "new" }, "timeFilter": { "title": "Time Filter", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time range for top sort. Only applies when sort is set to top.", "default": "day" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of posts to return (1-500).", "default": 100 }, "includeComments": { "title": "Include Comments", "type": "boolean", "description": "If enabled, fetches the top-level comments for each post.", "default": false }, "maxCommentsPerPost": { "title": "Max Comments Per Post", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of top-level comments to fetch per post.", "default": 10 }, "proxyConfig": { "title": "Proxy Configuration", "type": "object", "description": "Apify proxy settings for Reddit requests.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```