# Reddit Content Ideas Miner (`moillamas/reddit-content-ideas`) Actor Mines Reddit for high-value questions, pain points and trending discussions — ready-to-use content ideas for creators and marketers. - **URL**: https://apify.com/moillamas/reddit-content-ideas.md - **Developed by:** [moises llamas](https://apify.com/moillamas) (community) - **Categories:** SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 ## Reddit Content Ideas Miner Mine Reddit for high-value **questions**, **pain points** and trending discussions — ready-to-use content ideas for creators, marketers and founders. ### What it does This Actor scans any list of subreddits and returns posts that represent genuine content opportunities. Each result includes: - **Content type** — `question`, `pain_point`, `showcase`, `discussion`, `news`, `other` - **Content angle** — suggested creator angle: `how_to`, `tool_review`, `beginner_guide`, `case_study`, `myth_busting`, `list`, `controversy`, `other` - **Content value score** — 0–10 score that combines upvotes, comment count and content type to rank the best ideas first No Reddit API key or OAuth required — uses public RSS feeds. ### Sample output ```json { "subreddit": "entrepreneur", "post_id": "1cv9xk2", "title": "How do I get my first paying customer without a following?", "content_type": "question", "content_angle": "how_to", "content_value_score": 8.4, "score": 1243, "num_comments": 312, "author": "solo_founder_22", "url": "https://www.reddit.com/r/entrepreneur/comments/1cv9xk2/", "created_utc": "2026-05-28T14:32:00+00:00" } ```` ### Input parameters | Parameter | Type | Default | Description | |---|---|---|---| | `subreddits` | array | `["entrepreneur","startups","marketing","socialmedia"]` | Subreddits to mine (no `r/` prefix) | | `content_types` | array | `["question","pain_point"]` | Types to include | | `mode` | string | `top` | `top` (top posts) or `search` (keyword search) | | `keywords` | array | `[]` | Keywords for `mode=search` | | `time_filter` | string | `month` | `day` / `week` / `month` / `year` / `all` | | `min_score` | integer | `5` | Minimum upvotes | | `min_comments` | integer | `0` | Minimum comments | | `min_value_score` | number | `5.0` | Minimum content value score (0–10) | | `max_results` | integer | `200` | Maximum results to return | ### Use cases - **Content creators** — find what your target audience is asking before making a video or blog post - **Marketers** — discover pain points for ad copy and landing page messaging - **Founders** — validate ideas by seeing what problems people post about repeatedly - **SEO teams** — identify question-based keywords with proven organic interest ### How it works 1. Fetches top posts (or search results) from each subreddit via Reddit's public RSS feeds 2. Classifies each post by content type using pattern matching on the title 3. Assigns a content angle based on title patterns and content type 4. Scores each post (0–10) combining upvote volume, comment engagement and content type 5. Filters and ranks results, returning only posts above the configured thresholds ### Limits & fair use - Uses Reddit's public RSS feeds (no authentication required) - Respects a ~2s delay between requests per subreddit - Reddit's public RSS returns a maximum of ~100 posts per endpoint; for deeper history, use `mode=search` with multiple keywords - Do not set very low delays or run against hundreds of subreddits simultaneously ### Running locally ```bash python -m venv venv && source venv/bin/activate pip install -r requirements.txt python main.py ``` Override input via environment variable: ```bash ACTOR_INPUT='{"subreddits":["learnpython","Python"],"content_types":["question"],"min_score":20}' python main.py ``` # Actor input Schema ## `subreddits` (type: `array`): Subreddits to mine (without the r/ prefix). ## `content_types` (type: `array`): Filter by detected content type: question, pain\_point, discussion, other. ## `mode` (type: `string`): top: fetches top posts by time filter. search: uses keywords to find targeted posts. ## `keywords` (type: `array`): Keywords to search for in each subreddit. Used only when mode=search. ## `time_filter` (type: `string`): Time window for top/search results. ## `min_score` (type: `integer`): Discard posts with fewer upvotes than this. ## `min_comments` (type: `integer`): Discard posts with fewer comments than this. ## `min_value_score` (type: `number`): Only return posts with a content value score >= this value (0-10). ## `max_results` (type: `integer`): Maximum number of content ideas to return. ## Actor input object example ```json { "subreddits": [ "learnpython", "webdev", "digital_marketing" ], "content_types": [ "question", "pain_point" ], "mode": "top", "keywords": [ "how to grow", "struggling with", "best tool for" ], "time_filter": "month", "min_score": 5, "min_comments": 0, "min_value_score": 5, "max_results": 200 } ``` # 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("moillamas/reddit-content-ideas").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 = {} # Run the Actor and wait for it to finish run = client.actor("moillamas/reddit-content-ideas").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 '{}' | apify call moillamas/reddit-content-ideas --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moillamas/reddit-content-ideas", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Content Ideas Miner", "description": "Mines Reddit for high-value questions, pain points and trending discussions — ready-to-use content ideas for creators and marketers.", "version": "0.1", "x-build-id": "oopAmsNr4L44jhlTa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moillamas~reddit-content-ideas/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moillamas-reddit-content-ideas", "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/moillamas~reddit-content-ideas/runs": { "post": { "operationId": "runs-sync-moillamas-reddit-content-ideas", "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/moillamas~reddit-content-ideas/run-sync": { "post": { "operationId": "run-sync-moillamas-reddit-content-ideas", "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": { "subreddits": { "title": "Subreddits", "type": "array", "description": "Subreddits to mine (without the r/ prefix).", "default": [ "entrepreneur", "startups", "marketing", "socialmedia" ], "items": { "type": "string" } }, "content_types": { "title": "Content types to include", "type": "array", "description": "Filter by detected content type: question, pain_point, discussion, other.", "items": { "type": "string", "enum": [ "question", "pain_point", "discussion", "other" ] }, "default": [ "question", "pain_point" ] }, "mode": { "title": "Fetch mode", "enum": [ "top", "search" ], "type": "string", "description": "top: fetches top posts by time filter. search: uses keywords to find targeted posts.", "default": "top" }, "keywords": { "title": "Search keywords (mode=search only)", "type": "array", "description": "Keywords to search for in each subreddit. Used only when mode=search.", "default": [], "items": { "type": "string" } }, "time_filter": { "title": "Time filter", "enum": [ "day", "week", "month", "year", "all" ], "type": "string", "description": "Time window for top/search results.", "default": "month" }, "min_score": { "title": "Minimum upvotes", "minimum": 0, "type": "integer", "description": "Discard posts with fewer upvotes than this.", "default": 5 }, "min_comments": { "title": "Minimum comments", "minimum": 0, "type": "integer", "description": "Discard posts with fewer comments than this.", "default": 0 }, "min_value_score": { "title": "Minimum content value score", "minimum": 0, "maximum": 10, "type": "number", "description": "Only return posts with a content value score >= this value (0-10).", "default": 5 }, "max_results": { "title": "Max results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of content ideas to return.", "default": 200 } } }, "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 } } } } } } } } } } ```