# Reddit Subreddit Posts Scraper (`codingfrontend/reddit-subreddit-posts-scraper`) Actor Scrape posts from multiple Reddit subreddits in a single run with full metadata, images, videos, awards, and optional comments. - **URL**: https://apify.com/codingfrontend/reddit-subreddit-posts-scraper.md - **Developed by:** [codingfrontend](https://apify.com/codingfrontend) (community) - **Categories:** Social media, Automation, Developer tools - **Stats:** 2 total users, 1 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 Posts Scraper Scrape posts from **multiple subreddits in a single run** with full metadata, images, videos, gallery content, awards, and optional comments. Each subreddit is scraped independently up to the configured per-subreddit limit. ### Features - **Multi-subreddit input** — Provide a list of subreddits; all are scraped in one actor run - **Per-subreddit limit** — `maxItemsPerSubreddit` controls how many posts to get per subreddit independently - **Sort modes** — New, Hot, Top, Rising, or Controversial - **Time filters** — For Top/Controversial: hour, day, week, month, year, all time - **Deep scraping** — Opens each post in a parallel browser tab for complete fields (selfText, images, video, gallery, awards, crosspost data) - **Parallel tabs** — Processes 3 posts simultaneously per subreddit - **Pagination** — Automatically follows `after` cursor - **Comments** — Optional top-20 comments with up to 5 nested replies - **50+ fields** per post - **Stealth mode** — Random user agents and fingerprinting --- ### Input Options | Field | Type | Default | Description | |-------|------|---------|-------------| | `subreddits` | Array | *required* | List of subreddit names (without r/) | | `sortBy` | Enum | `new` | `new` · `hot` · `top` · `rising` · `controversial` | | `topTime` | Enum | `week` | For Top/Controversial: `hour` · `day` · `week` · `month` · `year` · `all` | | `maxItemsPerSubreddit` | Number | `50` | Max posts per subreddit (1–1000) | | `deepScraping` | Boolean | `true` | Open each post for full metadata | | `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 multiple subreddits ```json { "subreddits": ["javascript", "webdev", "node"], "sortBy": "new", "maxItemsPerSubreddit": 50, "deepScraping": true } ```` #### Top posts of the month from multiple subreddits ```json { "subreddits": ["programming", "technology", "MachineLearning"], "sortBy": "top", "topTime": "month", "maxItemsPerSubreddit": 25, "deepScraping": true, "includeComments": true } ``` *** ### Output Dataset Fields Same 50+ fields as the Reddit Subreddit Scraper — all posts across all subreddits go into a single dataset. Each post includes the `subreddit` field so you can filter by source. Key fields: `id`, `title`, `url`, `permalink`, `subreddit`, `author`, `score`, `upvoteRatio`, `numComments`, `createdAt`, `postType`, `isVideo`, `isGallery`, `selfText`, `thumbnail`, `flair`, `nsfw`, `awards`, `videoData`, `galleryImages`, `previewImages`, `comments`, `scrapedAt` *** ### Related Actors - **Reddit Subreddit Scraper** — Single subreddit with more sort/filter options - **Reddit Search Scraper** — Search Reddit by keyword - **Reddit Subreddit Users Scraper** — Extract all unique users from a subreddit *** ### Author Built by **Kumar Lakshmanan** · # Actor input Schema ## `subreddits` (type: `array`): List of subreddit names to scrape (without r/). E.g. javascript, worldnews, AskReddit ## `sortBy` (type: `string`): How to sort posts in each subreddit ## `topTime` (type: `string`): Time period when sortBy is 'top' or 'controversial' ## `maxItemsPerSubreddit` (type: `integer`): Maximum posts to scrape per subreddit ## `deepScraping` (type: `boolean`): Open each post for full details: selfText, images, video, gallery, awards, metadata ## `includeComments` (type: `boolean`): Fetch top 20 comments with nested replies for each post (requires deepScraping=true) ## `headless` (type: `boolean`): Run browser in headless mode ## `proxyConfiguration` (type: `object`): Proxy settings. Apify Residential proxy recommended. ## Actor input object example ```json { "subreddits": [ "javascript", "webdev" ], "sortBy": "new", "topTime": "week", "maxItemsPerSubreddit": 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 = { "subreddits": [ "javascript", "webdev" ], "maxItemsPerSubreddit": 50, "deepScraping": true, "includeComments": false, "headless": true }; // Run the Actor and wait for it to finish const run = await client.actor("codingfrontend/reddit-subreddit-posts-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 = { "subreddits": [ "javascript", "webdev", ], "maxItemsPerSubreddit": 50, "deepScraping": True, "includeComments": False, "headless": True, } # Run the Actor and wait for it to finish run = client.actor("codingfrontend/reddit-subreddit-posts-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 '{ "subreddits": [ "javascript", "webdev" ], "maxItemsPerSubreddit": 50, "deepScraping": true, "includeComments": false, "headless": true }' | apify call codingfrontend/reddit-subreddit-posts-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codingfrontend/reddit-subreddit-posts-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Subreddit Posts Scraper", "description": "Scrape posts from multiple Reddit subreddits in a single run with full metadata, images, videos, awards, and optional comments.", "version": "1.0", "x-build-id": "CoQbl3IyDAzxHiIPv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codingfrontend~reddit-subreddit-posts-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codingfrontend-reddit-subreddit-posts-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/codingfrontend~reddit-subreddit-posts-scraper/runs": { "post": { "operationId": "runs-sync-codingfrontend-reddit-subreddit-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/codingfrontend~reddit-subreddit-posts-scraper/run-sync": { "post": { "operationId": "run-sync-codingfrontend-reddit-subreddit-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "subreddits" ], "properties": { "subreddits": { "title": "Subreddits", "type": "array", "description": "List of subreddit names to scrape (without r/). E.g. javascript, worldnews, AskReddit", "items": { "type": "string" } }, "sortBy": { "title": "Sort By", "enum": [ "new", "hot", "top", "rising", "controversial" ], "type": "string", "description": "How to sort posts in each subreddit", "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" }, "maxItemsPerSubreddit": { "title": "Max Posts Per Subreddit", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum posts to scrape per subreddit", "default": 50 }, "deepScraping": { "title": "Deep Scraping", "type": "boolean", "description": "Open each post for full details: selfText, images, video, gallery, awards, metadata", "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", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Apify Residential proxy recommended.", "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 } } } } } } } } } } ```