# Reddit Subreddit Scraper (`myagizm/reddit-subreddit-scraper`) Actor Scrape posts from any subreddit as structured JSON — new/hot/top/rising, with text and media. No login, no API key. - **URL**: https://apify.com/myagizm/reddit-subreddit-scraper.md - **Developed by:** [MYM](https://apify.com/myagizm) (community) - **Categories:** Social media - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $1.40 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 **posts from any subreddit** as clean, structured JSON — New, Hot, Top, Rising, or Controversial, with text and media. No login, no API key. Ideal for trend monitoring, market research, content aggregation, and datasets. ### What you get Per post: `title`, `author`, `flair`, `score`, `numComments`, `createdUtc`, `selftext`, `outboundUrl`, `domain`, `thumbnail`, `mediaUrls`, `nsfw`, `url`. Plus date filter, keyword filter, and NSFW toggle. ### Example input ```json { "subreddits": ["technology", "programming"], "sort": "top", "time": "week", "maxItems": 100, "includeSelftext": true } ```` ### Output One record per post (see the **Posts** view in the Output tab). Export as JSON, CSV, Excel, or via API. ### 💵 Pricing **$1.40 per 1,000 posts** — pay only for what you scrape. No monthly fee. ### ⏱️ Limits A run lasts at most ~10 minutes; only one long-running job runs at a time. ### Notes Reads only public Reddit data. Please scrape responsibly. *** ### 🔎 Keywords reddit subreddit scraper, scrape subreddit posts, reddit posts scraper, reddit feed scraper, subreddit data, reddit top posts, reddit trends, reddit content aggregation, reddit market research, reddit dataset, reddit media downloader, no login reddit scraper # Actor input Schema ## `subreddits` (type: `array`): Subreddit names to scrape posts from, e.g. "AskReddit", "news". The r/ prefix is optional. ## `sort` (type: `string`): Listing order. ## `time` (type: `string`): Time window for Top / Controversial. ## `includeSelftext` (type: `boolean`): Fetch each post's self/body text. ## `includeMedia` (type: `boolean`): Extract image/video URLs (i.redd.it, v.redd.it, imgur, galleries). ## `includeNSFW` (type: `boolean`): Include posts flagged over-18 / NSFW. ## `postDateLimit` (type: `string`): Keep only posts created on or after this date. Leave empty for no limit. ## `searchTerms` (type: `array`): Keep only posts whose title or text contains at least one of these words. ## `maxItems` (type: `integer`): Hard cap on posts saved. A run lasts at most ~10 minutes. ## `maxPostsPerSource` (type: `integer`): Cap on posts kept from each subreddit. ## `maxPages` (type: `integer`): Pagination depth per subreddit (25 posts/page). ## `maxRetries` (type: `integer`): Retry attempts per failed request. ## `requestDelayMs` (type: `integer`): Politeness delay between requests. ## `debug` (type: `boolean`): Emit verbose logs. ## Actor input object example ```json { "subreddits": [ "news", "technology" ], "sort": "hot", "time": "week", "includeSelftext": true, "includeMedia": false, "includeNSFW": false, "postDateLimit": "2026-01-01", "searchTerms": [ "hiring", "release" ], "maxItems": 50, "maxPostsPerSource": 25, "maxPages": 1, "maxRetries": 3, "requestDelayMs": 300, "debug": false } ``` # Actor output Schema ## `results` (type: `string`): All scraped items as structured JSON. # 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": [ "AskReddit" ], "sort": "hot", "time": "week", "includeSelftext": true, "includeMedia": false, "includeNSFW": false, "maxItems": 50, "maxPostsPerSource": 25, "maxPages": 1, "maxRetries": 3, "requestDelayMs": 300, "debug": false }; // Run the Actor and wait for it to finish const run = await client.actor("myagizm/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 = { "subreddits": ["AskReddit"], "sort": "hot", "time": "week", "includeSelftext": True, "includeMedia": False, "includeNSFW": False, "maxItems": 50, "maxPostsPerSource": 25, "maxPages": 1, "maxRetries": 3, "requestDelayMs": 300, "debug": False, } # Run the Actor and wait for it to finish run = client.actor("myagizm/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 '{ "subreddits": [ "AskReddit" ], "sort": "hot", "time": "week", "includeSelftext": true, "includeMedia": false, "includeNSFW": false, "maxItems": 50, "maxPostsPerSource": 25, "maxPages": 1, "maxRetries": 3, "requestDelayMs": 300, "debug": false }' | apify call myagizm/reddit-subreddit-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=myagizm/reddit-subreddit-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Subreddit Scraper", "description": "Scrape posts from any subreddit as structured JSON — new/hot/top/rising, with text and media. No login, no API key.", "version": "0.1", "x-build-id": "ePSRy9g4IpiHBrduy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/myagizm~reddit-subreddit-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-myagizm-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/myagizm~reddit-subreddit-scraper/runs": { "post": { "operationId": "runs-sync-myagizm-reddit-subreddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/myagizm~reddit-subreddit-scraper/run-sync": { "post": { "operationId": "run-sync-myagizm-reddit-subreddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "subreddits": { "title": "Subreddits", "type": "array", "description": "Subreddit names to scrape posts from, e.g. \"AskReddit\", \"news\". The r/ prefix is optional.", "items": { "type": "string" } }, "sort": { "title": "Sort", "enum": [ "new", "hot", "top", "rising", "controversial" ], "type": "string", "description": "Listing order.", "default": "hot" }, "time": { "title": "Time range", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time window for Top / Controversial.", "default": "all" }, "includeSelftext": { "title": "Include post text", "type": "boolean", "description": "Fetch each post's self/body text.", "default": true }, "includeMedia": { "title": "Include media URLs", "type": "boolean", "description": "Extract image/video URLs (i.redd.it, v.redd.it, imgur, galleries).", "default": false }, "includeNSFW": { "title": "Include NSFW", "type": "boolean", "description": "Include posts flagged over-18 / NSFW.", "default": false }, "postDateLimit": { "title": "Only posts on/after (YYYY-MM-DD)", "type": "string", "description": "Keep only posts created on or after this date. Leave empty for no limit." }, "searchTerms": { "title": "Keyword filter", "type": "array", "description": "Keep only posts whose title or text contains at least one of these words.", "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 100, "type": "integer", "description": "Hard cap on posts saved. A run lasts at most ~10 minutes.", "default": 50 }, "maxPostsPerSource": { "title": "Max posts per subreddit", "minimum": 1, "maximum": 100, "type": "integer", "description": "Cap on posts kept from each subreddit.", "default": 25 }, "maxPages": { "title": "Max listing pages", "minimum": 1, "maximum": 20, "type": "integer", "description": "Pagination depth per subreddit (25 posts/page).", "default": 1 }, "maxRetries": { "title": "Max request retries", "minimum": 0, "maximum": 6, "type": "integer", "description": "Retry attempts per failed request.", "default": 3 }, "requestDelayMs": { "title": "Delay between requests (ms)", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Politeness delay between requests.", "default": 300 }, "debug": { "title": "Debug logging", "type": "boolean", "description": "Emit verbose logs.", "default": 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 } } } } } } } } } } ```