# Reddit Audience Research (`ddtech/reddit-audience-research`) Actor Discover audiences, find pain points, and detect buying intent across Reddit. 11 actions for market research, product validation, and competitor analysis. AI-enriched output with automatic pain point and buying intent detection. - **URL**: https://apify.com/ddtech/reddit-audience-research.md - **Developed by:** [ddtech solution](https://apify.com/ddtech) (community) - **Categories:** Social media, Lead generation, Automation - **Stats:** 7 total users, 0 monthly users, 25.0% runs succeeded, 0 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 Audience Research Discover audiences, find pain points, monitor keywords, and analyze buying intent across Reddit. Perfect for market research, product validation, competitor analysis, and content ideation. ### Features - **Subreddit Discovery** - Find relevant communities for any niche - **Post Scraping** - Get posts from any subreddit with sorting and filtering - **Comment Analysis** - Scrape entire comment threads recursively - **User Research** - Analyze user profiles, posts, and comment history - **Pain Point Detection** - Automatically identify posts with user frustrations - **Buying Intent Detection** - Find posts showing purchase intent - **Keyword Monitoring** - Track mentions of any keyword across Reddit - **Trending Posts** - Get hot/rising content from multiple subreddits ### Use Cases #### Market Research Find what problems people are discussing in your target market. Identify unmet needs and validate product ideas. #### Competitor Analysis Monitor mentions of competitor brands and products. Understand customer sentiment and pain points. #### Content Ideation Discover trending topics and frequently asked questions to inform your content strategy. #### Lead Generation Find people actively looking for solutions in your industry. ### Actions #### search_subreddits Find relevant subreddits for any keyword or niche. **Required input:** `query` #### get_subreddit_info Get detailed information about a specific subreddit including subscriber count, description, and activity. **Required input:** `subreddit` #### get_subreddit_posts Scrape posts from a subreddit with sorting (hot, new, top, rising) and time filters. **Required input:** `subreddit` #### search_posts Search Reddit posts by keyword. Can be limited to a specific subreddit or search all of Reddit. **Required input:** `query` #### get_post_comments Scrape all comments from a specific post, including nested replies. **Required input:** `subreddit`, `postId` #### get_user_profile Get information about a Reddit user including karma, account age, and verification status. **Required input:** `username` #### get_user_posts Get all posts submitted by a specific user. **Required input:** `username` #### get_user_comments Get all comments made by a specific user. **Required input:** `username` #### find_pain_points Automatically find posts containing pain point indicators like "I wish", "frustrated with", "looking for", etc. **Required input:** `subreddit` #### monitor_keyword Track mentions of a keyword across Reddit or in specific subreddits. Returns a breakdown by subreddit. **Required input:** `query` #### get_trending_posts Get trending/hot posts from multiple subreddits at once, sorted by engagement. **Required input:** `subreddits` (array) ### AI-Ready Output Every post and comment is enriched with: - `has_pain_point` - Boolean indicating if pain point patterns were detected - `pain_point_matches` - Array of matched pain point phrases - `has_buying_intent` - Boolean indicating if buying intent was detected - `buying_intent_matches` - Array of matched buying intent phrases #### Pain Point Patterns Detected - "i wish", "i hate", "i can't stand" - "looking for", "recommend me", "any alternatives" - "frustrated with", "struggling with" - "does anyone know", "how do i", "what's the best" - "help me find", "problem with", "issue with" #### Buying Intent Patterns Detected - "worth buying", "should i buy", "where to buy" - "best place to buy", "looking to purchase" - "want to buy", "thinking of buying" - "recommendations for", "best X under $Y" ### Example Output ```json { "type": "post", "id": "abc123", "title": "Looking for a good Python IDE, any recommendations?", "selftext": "I've been using VS Code but I'm frustrated with the debugging...", "author": "dev_user", "subreddit": "Python", "score": 42, "num_comments": 28, "url": "https://reddit.com/r/Python/comments/abc123/", "has_pain_point": true, "pain_point_matches": ["looking for", "frustrated with"], "has_buying_intent": false, "buying_intent_matches": [] } ```` ### Proxy Support This Actor supports Apify Proxy to help avoid rate limiting. Configure proxy settings in the input to use datacenter or residential proxies. ### Cost Estimation The Actor uses minimal compute resources as it only makes HTTP requests (no browser). Typical runs: - 100 posts: ~$0.001-0.005 - 1000 posts: ~$0.01-0.05 ### Limitations - Reddit API rate limits apply (~60 requests/minute without authentication) - Maximum 100 items per request (Reddit API limit) - Some subreddits may be private or quarantined - NSFW content is excluded by default (can be enabled) ### Support For issues or feature requests, please contact the developer or open an issue on the Actor's page. # Actor input Schema ## `action` (type: `string`): Select what you want to do ## `query` (type: `string`): Keyword to search for (used by: search\_subreddits, search\_posts, monitor\_keyword) ## `subreddit` (type: `string`): Subreddit name without r/ prefix (used by: get\_subreddit\_info, get\_subreddit\_posts, get\_post\_comments, find\_pain\_points) ## `subreddits` (type: `array`): List of subreddit names for trending posts or keyword monitoring ## `postId` (type: `string`): Reddit post ID for getting comments (e.g., 'abc123' from reddit.com/r/python/comments/abc123/) ## `username` (type: `string`): Reddit username without u/ prefix ## `sort` (type: `string`): How to sort results ## `timeFilter` (type: `string`): Time range for results ## `limit` (type: `integer`): Maximum number of results to return (max 100 per API call) ## `filterPainPoints` (type: `boolean`): Only return posts/comments containing pain point indicators (I wish, I hate, frustrated with, etc.) ## `filterBuyingIntent` (type: `boolean`): Only return posts/comments showing buying intent (should I buy, worth buying, recommendations for, etc.) ## `includeNsfw` (type: `boolean`): Include NSFW (18+) content in results ## `proxyConfiguration` (type: `object`): Proxy settings for avoiding rate limits ## Actor input object example ```json { "action": "search_posts", "query": "python programming", "subreddit": "Python", "subreddits": [ "python", "programming", "learnpython" ], "sort": "hot", "timeFilter": "week", "limit": 100, "filterPainPoints": false, "filterBuyingIntent": false, "includeNsfw": false, "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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "query": "python programming", "subreddit": "Python", "subreddits": [ "python", "programming", "learnpython" ], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("ddtech/reddit-audience-research").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 = { "query": "python programming", "subreddit": "Python", "subreddits": [ "python", "programming", "learnpython", ], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("ddtech/reddit-audience-research").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 '{ "query": "python programming", "subreddit": "Python", "subreddits": [ "python", "programming", "learnpython" ], "proxyConfiguration": { "useApifyProxy": true } }' | apify call ddtech/reddit-audience-research --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ddtech/reddit-audience-research", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Audience Research", "description": "Discover audiences, find pain points, and detect buying intent across Reddit. 11 actions for market research, product validation, and competitor analysis. AI-enriched output with automatic pain point and buying intent detection.", "version": "1.0", "x-build-id": "etvtFgwQDxp0E1MxB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ddtech~reddit-audience-research/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ddtech-reddit-audience-research", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ddtech~reddit-audience-research/runs": { "post": { "operationId": "runs-sync-ddtech-reddit-audience-research", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ddtech~reddit-audience-research/run-sync": { "post": { "operationId": "run-sync-ddtech-reddit-audience-research", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "action" ], "properties": { "action": { "title": "Action", "enum": [ "search_subreddits", "get_subreddit_info", "get_subreddit_posts", "search_posts", "get_post_comments", "get_user_profile", "get_user_posts", "get_user_comments", "find_pain_points", "monitor_keyword", "get_trending_posts" ], "type": "string", "description": "Select what you want to do", "default": "search_posts" }, "query": { "title": "Search Query / Keyword", "type": "string", "description": "Keyword to search for (used by: search_subreddits, search_posts, monitor_keyword)" }, "subreddit": { "title": "Subreddit Name", "type": "string", "description": "Subreddit name without r/ prefix (used by: get_subreddit_info, get_subreddit_posts, get_post_comments, find_pain_points)" }, "subreddits": { "title": "Multiple Subreddits", "type": "array", "description": "List of subreddit names for trending posts or keyword monitoring", "items": { "type": "string" } }, "postId": { "title": "Post ID", "type": "string", "description": "Reddit post ID for getting comments (e.g., 'abc123' from reddit.com/r/python/comments/abc123/)" }, "username": { "title": "Username", "type": "string", "description": "Reddit username without u/ prefix" }, "sort": { "title": "Sort By", "enum": [ "hot", "new", "top", "rising", "relevance", "comments", "controversial", "best", "old", "qa" ], "type": "string", "description": "How to sort results", "default": "hot" }, "timeFilter": { "title": "Time Filter", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time range for results", "default": "week" }, "limit": { "title": "Result Limit", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of results to return (max 100 per API call)", "default": 100 }, "filterPainPoints": { "title": "Only Pain Points", "type": "boolean", "description": "Only return posts/comments containing pain point indicators (I wish, I hate, frustrated with, etc.)", "default": false }, "filterBuyingIntent": { "title": "Only Buying Intent", "type": "boolean", "description": "Only return posts/comments showing buying intent (should I buy, worth buying, recommendations for, etc.)", "default": false }, "includeNsfw": { "title": "Include NSFW", "type": "boolean", "description": "Include NSFW (18+) content in results", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for avoiding rate limits" } } }, "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 } } } } } } } } } } ```