# Reddit Subreddit Scraper (`codingfrontend/reddit-subreddit-scraper`) Actor Scrape the newest, hottest, top, or rising posts from any Reddit subreddit with full metadata, images, videos, awards, and optional comments. - **URL**: https://apify.com/codingfrontend/reddit-subreddit-scraper.md - **Developed by:** [codingfrontend](https://apify.com/codingfrontend) (community) - **Categories:** Social media, Developer tools, Other - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 results 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 Subreddit Scraper Scrape the newest, hottest, top, or rising posts from any Reddit subreddit with full post metadata, images, videos, gallery content, awards, and optional comments — using Reddit's official JSON API for reliable, structured data extraction. ### Features - **Sort modes** — Scrape by New, Hot, Top, Rising, or Controversial - **Time filters** — For Top/Controversial: Past Hour, Today, This Week, This Month, This Year, All Time - **Deep scraping** — Opens each post in a parallel browser tab for complete fields (self-text, images, video, gallery, awards, crosspost data) - **Parallel tabs** — Processes 3 posts simultaneously for fast extraction - **Pagination** — Automatically follows `after` cursor to fetch all pages - **Comments** — Optional top-20 comments with up to 5 nested replies - **50+ fields** — Author info, flair, media, video HLS/DASH/fallback URLs, gallery images with captions, awards breakdown, moderation metadata, and more - **Stealth mode** — Random user agents, headers, and fingerprinting to avoid rate limits --- ### Input Options | Field | Type | Default | Description | |-------|------|---------|-------------| | `subreddit` | String | *required* | Subreddit name (without `r/`). E.g. `javascript`, `worldnews` | | `sortBy` | Enum | `new` | `new` · `hot` · `top` · `rising` · `controversial` | | `topTime` | Enum | `week` | For Top/Controversial: `hour` · `day` · `week` · `month` · `year` · `all` | | `maxItems` | Number | `50` | Maximum posts to scrape (1–1000) | | `deepScraping` | Boolean | `true` | Open each post for full metadata (recommended) | | `includeComments` | Boolean | `false` | Include top 20 comments with nested replies | | `headless` | Boolean | `true` | Run browser in headless mode | | `proxyConfiguration` | Object | Apify Residential | Proxy settings | --- ### Example Inputs #### Scrape newest posts from r/javascript ```json { "subreddit": "javascript", "sortBy": "new", "maxItems": 100, "deepScraping": true, "includeComments": false } ```` #### Top posts from r/worldnews this month ```json { "subreddit": "worldnews", "sortBy": "top", "topTime": "month", "maxItems": 50, "deepScraping": true, "includeComments": true } ``` #### Hot posts from r/AskReddit ```json { "subreddit": "AskReddit", "sortBy": "hot", "maxItems": 25, "deepScraping": true, "includeComments": true } ``` *** ### Output Dataset Fields | Field | Type | Description | |-------|------|-------------| | `id` | String | Reddit post ID | | `title` | String | Post title | | `url` | String | External link URL (or Reddit permalink for self posts) | | `permalink` | String | Full Reddit URL | | `subreddit` | String | Subreddit name | | `subredditId` | String | Subreddit fullname (t5\_xxx) | | `subredditType` | String | `public`, `private`, `restricted` | | `subredditSubscribers` | Number | Subscriber count | | `author` | String | Post author username | | `authorFullname` | String | Author fullname (t2\_xxx) | | `authorFlair` | String | Author flair text | | `authorPremium` | Boolean | Whether author has Reddit Premium | | `score` | Number | Upvotes minus downvotes | | `upvoteRatio` | Number | Fraction of upvotes (0.0–1.0) | | `numComments` | Number | Total comment count | | `createdAt` | String | ISO 8601 creation timestamp | | `editedAt` | String/Boolean | ISO 8601 edit timestamp or `false` | | `selfText` | String | Post body text (self posts) | | `postType` | String | `self` · `link` · `image` · `video` · `gallery` · `crosspost` | | `isVideo` | Boolean | Whether post contains hosted video | | `isSelf` | Boolean | Whether it's a text/self post | | `isGallery` | Boolean | Whether it's a gallery post | | `isOC` | Boolean | Original content flag | | `thumbnail` | String | Thumbnail image URL | | `flair` | String | Post flair text | | `flairBackgroundColor` | String | Flair background hex color | | `domain` | String | Link domain | | `nsfw` | Boolean | NSFW flag | | `spoiler` | Boolean | Spoiler flag | | `locked` | Boolean | Whether post is locked | | `pinned` | Boolean | Whether post is pinned | | `stickied` | Boolean | Whether post is stickied | | `archived` | Boolean | Whether post is archived | | `distinguished` | String | `moderator`, `admin`, or `null` | | `suggestedSort` | String | Suggested comment sort | | `numCrossposts` | Number | Cross-post count | | `postHint` | String | `self` · `link` · `image` · `rich:video` · `hosted:video` | | `isCrossPost` | Boolean | Whether it's a cross-post | | `crosspostFrom` | String | Original subreddit if cross-posted | | `crosspostOriginal` | Object | Full original post object if cross-posted | | `awardsCount` | Number | Total awards received | | `gilded` | Number | Number of times gilded | | `gildings` | Object | Breakdown by award tier | | `awards` | Array | Award names and counts | | `previewImages` | Array | Preview image objects with resolutions | | `videoData` | Object | Video URLs (HLS, DASH, fallback), dimensions, duration | | `galleryImages` | Array | Gallery images with URL, caption, mp4 | | `mediaEmbed` | Object | Embedded media HTML/dimensions | | `comments` | Array | Top comments (if `includeComments=true`) | | `scrapedAt` | String | ISO 8601 scrape timestamp | *** ### Example Output ```json { "id": "1t9jt9w", "title": "BlueJS: Compile JavaScript to 12MB native binaries", "url": "https://github.com/example/bluejs", "permalink": "https://www.reddit.com/r/javascript/comments/1t9jt9w/...", "subreddit": "javascript", "subredditSubscribers": 2400000, "author": "dev_user", "score": 1842, "upvoteRatio": 0.97, "numComments": 143, "createdAt": "2025-06-01T10:30:00.000Z", "postType": "link", "domain": "github.com", "nsfw": false, "awardsCount": 3, "previewImages": [{ "url": "https://...", "width": 1200, "height": 630 }], "scrapedAt": "2025-06-01T12:00:00.000Z" } ``` *** ### Related Actors - **Reddit Search Scraper** — Search Reddit by keyword across all subreddits - **Reddit Post Scraper** — Scrape specific Reddit post URLs for full details *** ### Author Built by **Kumar Lakshmanan** · # Actor input Schema ## `subreddit` (type: `string`): Name of the subreddit to scrape (without r/). Example: javascript, worldnews, AskReddit ## `sortBy` (type: `string`): How to sort the posts ## `topTime` (type: `string`): Time period when sortBy is 'top' or 'controversial' ## `maxItems` (type: `integer`): Maximum number of posts to scrape ## `deepScraping` (type: `boolean`): Open each post in a parallel browser tab to extract full details: complete selfText, images, videos, gallery, awards, metadata. Recommended for rich datasets. ## `includeComments` (type: `boolean`): Fetch top 20 comments with nested replies for each post (requires deepScraping=true) ## `headless` (type: `boolean`): Run browser in headless mode (recommended for production) ## `proxyConfiguration` (type: `object`): Proxy settings. Apify Residential proxy recommended to avoid Reddit rate limits. ## Actor input object example ```json { "subreddit": "javascript", "sortBy": "new", "topTime": "week", "maxItems": 50, "deepScraping": true, "includeComments": false, "headless": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "subreddit": "javascript", "maxItems": 50, "deepScraping": true, "includeComments": false, "headless": true }; // Run the Actor and wait for it to finish const run = await client.actor("codingfrontend/reddit-subreddit-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 = { "subreddit": "javascript", "maxItems": 50, "deepScraping": True, "includeComments": False, "headless": True, } # Run the Actor and wait for it to finish run = client.actor("codingfrontend/reddit-subreddit-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 '{ "subreddit": "javascript", "maxItems": 50, "deepScraping": true, "includeComments": false, "headless": true }' | apify call codingfrontend/reddit-subreddit-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codingfrontend/reddit-subreddit-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Subreddit Scraper", "description": "Scrape the newest, hottest, top, or rising posts from any Reddit subreddit with full metadata, images, videos, awards, and optional comments.", "version": "1.0", "x-build-id": "mDl070AojkLj5maxD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codingfrontend~reddit-subreddit-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codingfrontend-reddit-subreddit-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/codingfrontend~reddit-subreddit-scraper/runs": { "post": { "operationId": "runs-sync-codingfrontend-reddit-subreddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/codingfrontend~reddit-subreddit-scraper/run-sync": { "post": { "operationId": "run-sync-codingfrontend-reddit-subreddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "subreddit" ], "properties": { "subreddit": { "title": "Subreddit Name", "type": "string", "description": "Name of the subreddit to scrape (without r/). Example: javascript, worldnews, AskReddit" }, "sortBy": { "title": "Sort By", "enum": [ "new", "hot", "top", "rising", "controversial" ], "type": "string", "description": "How to sort the posts", "default": "new" }, "topTime": { "title": "Top / Controversial Time Filter", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time period when sortBy is 'top' or 'controversial'", "default": "week" }, "maxItems": { "title": "Max Posts", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of posts to scrape", "default": 50 }, "deepScraping": { "title": "Deep Scraping", "type": "boolean", "description": "Open each post in a parallel browser tab to extract full details: complete selfText, images, videos, gallery, awards, metadata. Recommended for rich datasets.", "default": true }, "includeComments": { "title": "Include Comments", "type": "boolean", "description": "Fetch top 20 comments with nested replies for each post (requires deepScraping=true)", "default": false }, "headless": { "title": "Headless Mode", "type": "boolean", "description": "Run browser in headless mode (recommended for production)", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Apify Residential proxy recommended to avoid Reddit rate limits.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```