# Reddit Posts Search Scraper (`khadinakbar/reddit-posts-search-scraper`) Actor Search Reddit posts globally or inside subreddits. Export titles, bodies, scores, authors, comment counts, media, permalinks, and top-comment previews. MCP optimized for SEO and AI agents. $0.002/post. - **URL**: https://apify.com/khadinakbar/reddit-posts-search-scraper.md - **Developed by:** [Khadin Akbar](https://apify.com/khadinakbar) (community) - **Categories:** Social media, SEO tools, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 post scrapeds This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Posts Search Scraper Search Reddit posts globally or inside selected subreddits and get clean, flat, agent-friendly JSON. This actor is MCP optimized, perfect for SEO and AI agents, and built for social listening, trend discovery, market research, content research, competitor monitoring, and community analysis. ### What it extracts - Reddit post titles, bodies, authors, scores, upvote ratios, comment counts, flairs, domains, media URLs, permalinks, and timestamps - Global Reddit search results for any keyword, phrase, brand, product, competitor, or pain point - Optional subreddit-scoped search across one or many communities - Optional compact top-comment previews embedded on each post record - Source diagnostics so API users and AI agents can see whether data came from Reddit OAuth or a managed provider fallback ### Input examples Global Reddit search: ```json { "queries": ["AI search visibility", "best CRM for startups"], "sort": "relevance", "timeRange": "month", "maxPosts": 50, "includeTopComments": false } ```` Search inside specific subreddits: ```json { "queries": ["AI search", "ChatGPT alternatives"], "subreddits": ["r/SEO", "r/marketing"], "sort": "top", "timeRange": "year", "maxPosts": 100, "includeTopComments": true, "maxTopCommentsPerPost": 3 } ``` ### Output shape The dataset contains one `recordType: "post"` row per unique Reddit post. Rows are intentionally flat for spreadsheets, APIs, and AI agents. Top comments are included only when `includeTopComments` is enabled. Example row: ```json { "recordType": "post", "postId": "1abc234", "subreddit": "r/SEO", "title": "How are you tracking AI search visibility?", "body": "Looking for tools and workflows...", "author": "u/example_user", "score": 128, "upvoteRatio": 0.92, "numComments": 41, "permalink": "https://www.reddit.com/r/SEO/comments/1abc234/how_are_you_tracking_ai_search_visibility/", "domain": "self.SEO", "postType": "text", "createdAt": "2026-06-10T12:00:00.000Z", "query": "AI search visibility", "sourceInput": "AI search visibility in r/SEO", "source": "reddit-oauth", "scrapedAt": "2026-06-11T10:00:00.000Z" } ``` ### Input options | Option | Default | Description | |---|---:|---| | `queries` | required | Keywords, phrases, brands, products, competitors, or topics to search | | `subreddits` | empty | Optional subreddit names or URLs. Leave empty for global Reddit search | | `sort` | `relevance` | `relevance`, `new`, `top`, `comments`, or `hot` | | `timeRange` | `month` | `hour`, `day`, `week`, `month`, `year`, or `all` | | `maxPosts` | `100` | Hard cap on unique posts returned and billed | | `includeTopComments` | `false` | Adds compact top-comment previews to each post | | `maxTopCommentsPerPost` | `5` | Maximum comment previews per post | | `postDateLimit` | empty | Optional ISO date. Older posts are skipped after retrieval | | `includeNsfw` | `false` | Include NSFW posts when intentionally needed | ### Data sources The actor uses Reddit OAuth when `REDDIT_CLIENT_ID` and `REDDIT_CLIENT_SECRET` are configured. If OAuth is unavailable or returns no posts, it falls back to owner-managed ScrapeCreators and SociaVault keys when present. End users can also pass their own Reddit app credentials in the input. Runs finish with a diagnostic `RUN_SUMMARY` and `OUTPUT` key-value record. Empty or blocked searches finish successfully with a clear warning instead of crashing, which makes the actor safer for scheduled monitors and MCP tool calls. ### Pricing - `$0.002` per Reddit post returned - Tiny actor-start event for platform usage accounting Billing stops when `maxPosts` is reached. Duplicate posts across queries and subreddit scopes are deduplicated before billing. ### Use from an AI agent This actor is designed for MCP and natural-language tool calls. An AI agent can pass a plain topic like `AI search visibility`, optionally scope it to subreddits like `r/SEO`, and receive structured Reddit posts ready for summarization, lead research, sentiment analysis, or SEO content planning. ### Notes Reddit may restrict deleted, quarantined, private, banned, or geo-sensitive communities. This actor collects public Reddit content only. You are responsible for using the data in compliance with Reddit's Terms of Service, the Reddit User Agreement, applicable data-protection laws, and any rights of content authors. Do not use this data to identify, harass, or de-anonymize individuals. # Actor input Schema ## `queries` (type: `array`): Keywords, phrases, brands, competitors, products, pain points, or natural-language topics to search on Reddit. AI agents should put the main user request here. ## `subreddits` (type: `array`): Optional subreddit names or URLs. Leave empty for global Reddit search. When set, every query is searched inside each subreddit. Accepts r/SEO, SEO, or https://www.reddit.com/r/SEO. ## `sort` (type: `string`): How Reddit orders matching posts. Relevance is best for research and AI agents, new is best for monitoring, top is best for high-signal historical posts, comments finds active discussions, and hot finds currently trending matches. ## `timeRange` (type: `string`): Time window for search results. Use week or month for current market research, year or all for evergreen SEO research. ## `maxPosts` (type: `integer`): Maximum number of unique post records to return across all queries and subreddits. Billing stops when this cap is reached. ## `includeTopComments` (type: `boolean`): When true, each post record includes a compact topComments array. Use this for AI summaries and sentiment analysis. Leave off for faster, cheaper post-only extraction. ## `maxTopCommentsPerPost` (type: `integer`): Maximum number of top comments to embed in each post when includeTopComments is enabled. ## `postDateLimit` (type: `string`): Optional ISO date. Example: 2026-01-01. Posts older than this are skipped after retrieval. ## `includeNsfw` (type: `boolean`): Disabled by default for business research and AI-agent workflows. Enable only when you intentionally need NSFW Reddit content. ## `proxy` (type: `object`): Proxy settings. Defaults to Apify Residential proxies because Reddit often blocks datacenter IPs. Leave unchanged unless you know your target and plan requirements. ## `redditClientId` (type: `string`): Optional Reddit app client ID. Leave blank to use owner-managed access when configured. Create a free app at reddit.com/prefs/apps if you want to use your own credentials. ## `redditClientSecret` (type: `string`): Optional Reddit app client secret paired with redditClientId. This is not your Reddit password. ## Actor input object example ```json { "queries": [ "AI search visibility", "\"ChatGPT alternatives\"", "best CRM for startups" ], "subreddits": [ "r/SEO", "r/marketing" ], "sort": "relevance", "timeRange": "month", "maxPosts": 25, "includeTopComments": false, "maxTopCommentsPerPost": 5, "includeNsfw": false, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): Dataset items containing Reddit post rows returned by global or subreddit-scoped search. ## `summary` (type: `string`): Run summary including posts scraped, charge counts, source counts, provider usage, dedupe counts, and diagnostics. # 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 = { "queries": [ "AI search visibility" ], "subreddits": [], "maxPosts": 25, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("khadinakbar/reddit-posts-search-scraper").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 = { "queries": ["AI search visibility"], "subreddits": [], "maxPosts": 25, "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("khadinakbar/reddit-posts-search-scraper").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 '{ "queries": [ "AI search visibility" ], "subreddits": [], "maxPosts": 25, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call khadinakbar/reddit-posts-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=khadinakbar/reddit-posts-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Posts Search Scraper", "description": "Search Reddit posts globally or inside subreddits. Export titles, bodies, scores, authors, comment counts, media, permalinks, and top-comment previews. MCP optimized for SEO and AI agents. $0.002/post.", "version": "0.1", "x-build-id": "hugyLE8bbm2Zsifiw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/khadinakbar~reddit-posts-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-khadinakbar-reddit-posts-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/khadinakbar~reddit-posts-search-scraper/runs": { "post": { "operationId": "runs-sync-khadinakbar-reddit-posts-search-scraper", "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/khadinakbar~reddit-posts-search-scraper/run-sync": { "post": { "operationId": "run-sync-khadinakbar-reddit-posts-search-scraper", "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": [ "queries" ], "properties": { "queries": { "title": "Search queries", "type": "array", "description": "Keywords, phrases, brands, competitors, products, pain points, or natural-language topics to search on Reddit. AI agents should put the main user request here.", "items": { "type": "string" } }, "subreddits": { "title": "Limit to subreddits (optional)", "type": "array", "description": "Optional subreddit names or URLs. Leave empty for global Reddit search. When set, every query is searched inside each subreddit. Accepts r/SEO, SEO, or https://www.reddit.com/r/SEO.", "items": { "type": "string" } }, "sort": { "title": "Search sort", "enum": [ "relevance", "new", "top", "comments", "hot" ], "type": "string", "description": "How Reddit orders matching posts. Relevance is best for research and AI agents, new is best for monitoring, top is best for high-signal historical posts, comments finds active discussions, and hot finds currently trending matches.", "default": "relevance" }, "timeRange": { "title": "Time range", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time window for search results. Use week or month for current market research, year or all for evergreen SEO research.", "default": "month" }, "maxPosts": { "title": "Max posts", "minimum": 1, "maximum": 200000, "type": "integer", "description": "Maximum number of unique post records to return across all queries and subreddits. Billing stops when this cap is reached.", "default": 100 }, "includeTopComments": { "title": "Include top comment previews", "type": "boolean", "description": "When true, each post record includes a compact topComments array. Use this for AI summaries and sentiment analysis. Leave off for faster, cheaper post-only extraction.", "default": false }, "maxTopCommentsPerPost": { "title": "Max top comments per post", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of top comments to embed in each post when includeTopComments is enabled.", "default": 5 }, "postDateLimit": { "title": "Ignore posts older than", "type": "string", "description": "Optional ISO date. Example: 2026-01-01. Posts older than this are skipped after retrieval." }, "includeNsfw": { "title": "Include NSFW posts", "type": "boolean", "description": "Disabled by default for business research and AI-agent workflows. Enable only when you intentionally need NSFW Reddit content.", "default": false }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Defaults to Apify Residential proxies because Reddit often blocks datacenter IPs. Leave unchanged unless you know your target and plan requirements.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "redditClientId": { "title": "Reddit client ID (optional)", "type": "string", "description": "Optional Reddit app client ID. Leave blank to use owner-managed access when configured. Create a free app at reddit.com/prefs/apps if you want to use your own credentials." }, "redditClientSecret": { "title": "Reddit client secret (optional)", "type": "string", "description": "Optional Reddit app client secret paired with redditClientId. This is not your Reddit password." } } }, "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 } } } } } } } } } } ```