# Reddit Subreddit Posts Scraper | $2.5/1K Posts (`ethereal_wool/reddit-subreddit-posts`) Actor Extract Reddit subreddit posts data — title, author, engagement, and more. Scrape by keyword, URL or ID. Export to JSON, CSV & Excel, use the API, schedule runs and integrate. No code required. - **URL**: https://apify.com/ethereal\_wool/reddit-subreddit-posts.md - **Developed by:** [Jackie Chen](https://apify.com/ethereal_wool) (community) - **Categories:** Social media, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $2.50 / 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 Subreddit Posts Scraper ![reddit-subreddit-posts](https://api.apify.com/v2/key-value-stores/48FFrfZnw5XqzUC1C/records/reddit-subreddit-posts__hero) Scrape **posts from any public subreddit** by name and sort order (**Best / Hot / New / Top**). Returns clean, structured data for each post: title, author, score, comment count, share count, created time, thumbnail, author icon and a direct permalink. > **Unofficial.** This Actor is not affiliated with, authorized, or endorsed by Reddit, Inc. > It is an independent tool that retrieves publicly available data via a third-party API. Use > it in compliance with Reddit's terms and all applicable laws; you are responsible for how > you use the retrieved data. ### What it does - **Subreddit feed** — give one or more subreddit names (with or without the `r/` prefix); the Actor pages through each subreddit's post feed for the chosen sort order until it reaches `maxItems`. - **Sort orders** — `BEST`, `HOT`, `NEW`, `TOP`. - **Promoted posts** — skipped by default; flip `includeAds` on to keep them (they are flagged with `isAd` and carry the promoted `outboundUrl`). ### Input | Field | Type | Default | Description | |---|---|---|---| | `subredditNames` | string[] | `["AskReddit"]` | Subreddit names without `r/`. Each feed is paginated independently. | | `sort` | enum | `HOT` | `BEST` / `HOT` / `NEW` / `TOP`. | | `maxItems` | integer | `25` | Max total posts across all subreddits. | | `includeAds` | boolean | `false` | Include promoted / ad posts in the feed. | #### Example input ```json { "subredditNames": ["AskReddit", "worldnews"], "sort": "TOP", "maxItems": 200, "includeAds": false } ```` ### Output One dataset item per post: ```json { "postId": "1twk04i", "fullname": "t3_1twk04i", "subreddit": "AskReddit", "url": "https://www.reddit.com/r/AskReddit/comments/1twk04i/", "title": "What is going to happen when the lower class can't afford anything?", "author": "u/i_knoooow0", "authorHandle": "i_knoooow0", "score": 1015, "commentCount": 996, "shareCount": 228, "createdAt": "2026-06-04T10:46:07.800000+0000", "thumbnail": null, "authorIcon": "https://styles.redditmedia.com/...", "isAd": false, "outboundUrl": null, "source": "subreddit:AskReddit" } ``` ### Notes - Data is sourced live; Reddit / the upstream API occasionally rate-limits, so the Actor retries transient blocks with exponential backoff. - Post IDs are de-duplicated within a run, and pagination stops automatically when the feed cursor no longer advances. ### Quick start 1. Open the Actor and press **Run** — the default input works out of the box. 2. Adjust the input fields below to your target (keywords, IDs, or URLs) and set `maxItems` to cap spend. 3. Grab results from the **Dataset** tab as JSON / CSV / Excel, or pull them via the [Apify API](https://docs.apify.com/api/v2) and MCP from your own code. No proxies to configure, no cookies to paste, no login — the Actor handles everything server-side. ### Why teams switch to this subreddit scraper Browser-based Reddit actors fail often and bill $15–20 per 1,000 posts; this one reads a direct HTTP API, so runs are fast and predictable at **$2.50 per 1,000 posts**. Point it at any public subreddit and choose the same sort you'd use on reddit.com (`hot`, `new`, `top`, `rising` + a time window for `top`). ### What people build with it - **Community dashboards** — schedule a daily pull of `top` (day) from the subreddits that matter to your product; chart volume and engagement over time. - **Niche trend detection** — `rising` surfaces threads gaining velocity right now, before they hit the front page. - **Audience research** — what does r/skincareaddiction actually upvote? Pull 90 days of `top` posts and cluster the titles. - **Moderation & compliance** — archive everything posted to your own community, including flags like NSFW / locked / stickied. - **AI training data** — subreddit-scoped corpora are naturally topic-labelled; scores give you a free quality signal. ### Tips for better results - `top` + `timeFilter` is the fastest way to get the canonical "best of" list for a community; `new` + a schedule gives you a complete archive going forward. - Subreddit names work with or without the `r/` prefix. - Pair with [Reddit Post Comments](https://apify.com/ethereal_wool/reddit-post-comments) to pull the full discussion under the top posts of the day. *** ### Why this Actor - **Direct API, no headless browser** — fast, stable runs with nothing to babysit. - **No login, no cookies** — we never touch your accounts, so there's no ban risk. - **Fresh, real-time data** — every run reads the source live, not a stale cache. - **Pay per result** — you're billed only for the rows actually delivered. - **Structured JSON** — export to CSV, Excel, or JSON, or pull straight from the API / MCP. ### Use cases - Pull structured content + engagement for analytics dashboards. - Track a creator's or topic's output and performance over time. - Build training/research datasets of posts and metadata. - Power competitor and trend monitoring. ### FAQ **Do I need an account, cookies, or to log in anywhere?** No. The Actor talks to a fast, direct HTTP API server-side — you just provide inputs and run it. **How am I billed?** Pay-per-result: a fixed price per row returned, with no separate platform/compute charge. Caps like `maxItems` keep spend predictable. **Can I run it on a schedule or call it from my app?** Yes — use Apify Schedules, the REST API, the JavaScript / Python clients, or the MCP server. See the **API** tab. **Is this affiliated with Reddit?** No. It's an independent tool that collects publicly available data. Use it in line with the platform's terms and applicable law. ### More Reddit scrapers by us - [**Reddit Post Search**](https://apify.com/ethereal_wool/reddit-post-search) — Keyword post search across Reddit - [**Reddit User Posts**](https://apify.com/ethereal_wool/reddit-user-posts) — A user's posts & comments history - [**Reddit Post Comments**](https://apify.com/ethereal_wool/reddit-post-comments) — Full comment tree for a post Browse the full fleet → **https://apify.com/ethereal\_wool** # Actor input Schema ## `subredditNames` (type: `array`): Subreddit names to scrape, without the 'r/' prefix (e.g. AskReddit, worldnews). Each subreddit's feed is paginated independently. ## `sort` (type: `string`): How to sort each subreddit's feed. ## `maxItems` (type: `integer`): Maximum total number of posts to scrape across all subreddits. ## `includeAds` (type: `boolean`): Include promoted / ad posts that appear in the feed. Off by default (organic posts only). ## `proxyConfiguration` (type: `object`): Optional. Route the upstream API calls through an Apify Proxy to vary the source IP. Usually not needed. ## Actor input object example ```json { "subredditNames": [ "AskReddit" ], "sort": "HOT", "maxItems": 25, "includeAds": false, "proxyConfiguration": { "useApifyProxy": 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 = { "subredditNames": [ "AskReddit" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ethereal_wool/reddit-subreddit-posts").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 = { "subredditNames": ["AskReddit"] } # Run the Actor and wait for it to finish run = client.actor("ethereal_wool/reddit-subreddit-posts").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 '{ "subredditNames": [ "AskReddit" ] }' | apify call ethereal_wool/reddit-subreddit-posts --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ethereal_wool/reddit-subreddit-posts", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Subreddit Posts Scraper | $2.5/1K Posts", "description": "Extract Reddit subreddit posts data — title, author, engagement, and more. Scrape by keyword, URL or ID. Export to JSON, CSV & Excel, use the API, schedule runs and integrate. No code required.", "version": "0.1", "x-build-id": "WSSxNWVfevS4Sfab3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ethereal_wool~reddit-subreddit-posts/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ethereal_wool-reddit-subreddit-posts", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/ethereal_wool~reddit-subreddit-posts/runs": { "post": { "operationId": "runs-sync-ethereal_wool-reddit-subreddit-posts", "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/ethereal_wool~reddit-subreddit-posts/run-sync": { "post": { "operationId": "run-sync-ethereal_wool-reddit-subreddit-posts", "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": { "subredditNames": { "title": "Subreddit names", "type": "array", "description": "Subreddit names to scrape, without the 'r/' prefix (e.g. AskReddit, worldnews). Each subreddit's feed is paginated independently.", "default": [ "AskReddit" ], "items": { "type": "string" } }, "sort": { "title": "Sort order", "enum": [ "BEST", "HOT", "NEW", "TOP" ], "type": "string", "description": "How to sort each subreddit's feed.", "default": "HOT" }, "maxItems": { "title": "Max posts", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum total number of posts to scrape across all subreddits.", "default": 25 }, "includeAds": { "title": "Include promoted posts", "type": "boolean", "description": "Include promoted / ad posts that appear in the feed. Off by default (organic posts only).", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional. Route the upstream API calls through an Apify Proxy to vary the source IP. Usually not needed.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```