# Reddit Subreddit Scraper (`datara/reddit-subreddit-scraper`) Actor Scrape posts from any subreddit — titles, scores, comments, flairs, body text, and more. Sort by hot, new, top, or rising. No browser, no blocks, high reliability. - **URL**: https://apify.com/datara/reddit-subreddit-scraper.md - **Developed by:** [Datara](https://apify.com/datara) (community) - **Categories:** Social media, Lead generation, SEO tools - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 posts from any subreddit with full engagement metrics — upvotes, comment counts, flairs, body text, and more. No setup required beyond choosing your subreddit. --- ### Features - Fetch posts from any public subreddit - Sort by **hot**, **new**, **top**, or **rising** - Returns up to 500 posts per run - Captures full engagement metrics: score, upvote ratio, comment count - Includes post body text, flair, thumbnail URL, and permalink - Timestamps converted to ISO 8601 for easy downstream use - Clean error handling — dataset always receives at least one record --- ### Input | Field | Type | Required | Default | Description | |---|---|---|---|---| | `subreddit` | string | ✅ Yes | `startups` | Subreddit name (no `r/` prefix) | | `sort` | string | No | `hot` | Sort order: `hot`, `new`, `top`, `rising` | | `maxResults` | integer | No | `10` | Max posts to return (1–500) | | `includeBodyText` | boolean | No | `true` | Include post body/selftext in output | #### Example Input JSON ```json { "subreddit": "startups", "sort": "hot", "maxResults": 25, "includeBodyText": true } ```` *** ### Output Each record in the dataset represents one Reddit post. | Field | Type | Description | |---|---|---| | `id` | string | Reddit post ID | | `title` | string | Post title | | `author` | string | Username of the poster | | `subreddit` | string | Subreddit name | | `url` | string | Full URL to the post or linked content | | `score` | number | Net upvote score | | `upvoteRatio` | number | Upvote ratio (e.g. `0.95`) | | `numComments` | number | Number of comments | | `createdAt` | string | ISO 8601 post creation timestamp | | `bodyText` | string | null | Post body text (null for link posts or if disabled) | | `isTextPost` | boolean | `true` if self/text post, `false` if link post | | `flair` | string | null | Post flair if present | | `thumbnail` | string | null | Thumbnail URL if present | | `permalink` | string | Reddit permalink path | | `scrapedAt` | string | ISO 8601 timestamp of when this record was scraped | #### Example Output (2 sample records) ```json [ { "id": "1abc123", "title": "We launched our SaaS and got 500 signups in 48 hours — here's what worked", "author": "founder_mode", "subreddit": "startups", "url": "https://www.reddit.com/r/startups/comments/1abc123/we_launched/", "score": 1842, "upvoteRatio": 0.97, "numComments": 214, "createdAt": "2025-03-15T09:22:11.000Z", "bodyText": "We've been building in stealth for 8 months...", "isTextPost": true, "flair": "Launch", "thumbnail": null, "permalink": "/r/startups/comments/1abc123/we_launched/", "scrapedAt": "2025-04-01T14:05:33.221Z" }, { "id": "2xyz789", "title": "How do you validate a B2B idea before building anything?", "author": "pre_revenue_pete", "subreddit": "startups", "url": "https://www.reddit.com/r/startups/comments/2xyz789/how_do_you_validate/", "score": 423, "upvoteRatio": 0.92, "numComments": 87, "createdAt": "2025-03-14T17:44:55.000Z", "bodyText": "I have an idea for automating procurement workflows for SMBs...", "isTextPost": true, "flair": "Question", "thumbnail": null, "permalink": "/r/startups/comments/2xyz789/how_do_you_validate/", "scrapedAt": "2025-04-01T14:05:33.221Z" } ] ``` *** ### Pricing This actor uses a **Pay Per Event (PPE)** model: **$0.50 per 100 posts** returned. Minimum charge per run: one unit (up to 100 posts). *** ### Support For issues or feature requests, contact us via the Apify console. # Actor input Schema ## `subreddit` (type: `string`): Subreddit name without the r/ prefix. Example: startups ## `sort` (type: `string`): How to sort posts from the subreddit. ## `timeframe` (type: `string`): Filter posts by time period. Most relevant when Sort Order is 'Top'. Leave unset to use Reddit's default for the chosen sort. ## `maxResults` (type: `integer`): Maximum number of posts to return. The API returns 25 posts per page and supports pagination. ## `includeBodyText` (type: `boolean`): If enabled, the post body (selftext) will be included in the output. Disable to reduce dataset size for link-heavy subreddits. ## Actor input object example ```json { "subreddit": "startups", "sort": "hot", "timeframe": "", "maxResults": 25, "includeBodyText": true } ``` # Actor output Schema # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "subreddit": "startups", "sort": "hot", "timeframe": "", "maxResults": 25, "includeBodyText": true }; // Run the Actor and wait for it to finish const run = await client.actor("datara/reddit-subreddit-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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": "startups", "sort": "hot", "timeframe": "", "maxResults": 25, "includeBodyText": True, } # Run the Actor and wait for it to finish run = client.actor("datara/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": "startups", "sort": "hot", "timeframe": "", "maxResults": 25, "includeBodyText": true }' | apify call datara/reddit-subreddit-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=datara/reddit-subreddit-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Subreddit Scraper", "description": "Scrape posts from any subreddit — titles, scores, comments, flairs, body text, and more. Sort by hot, new, top, or rising. No browser, no blocks, high reliability.", "version": "0.0", "x-build-id": "okigO7YfgMoYrsfh1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/datara~reddit-subreddit-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-datara-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/datara~reddit-subreddit-scraper/runs": { "post": { "operationId": "runs-sync-datara-reddit-subreddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/datara~reddit-subreddit-scraper/run-sync": { "post": { "operationId": "run-sync-datara-reddit-subreddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "type": "string", "description": "Subreddit name without the r/ prefix. Example: startups", "default": "startups" }, "sort": { "title": "Sort Order", "enum": [ "best", "hot", "new", "top", "rising" ], "type": "string", "description": "How to sort posts from the subreddit.", "default": "hot" }, "timeframe": { "title": "Timeframe", "enum": [ "", "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Filter posts by time period. Most relevant when Sort Order is 'Top'. Leave unset to use Reddit's default for the chosen sort.", "default": "" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of posts to return. The API returns 25 posts per page and supports pagination.", "default": 25 }, "includeBodyText": { "title": "Include Body Text", "type": "boolean", "description": "If enabled, the post body (selftext) will be included in the output. Disable to reduce dataset size for link-heavy subreddits.", "default": true } } }, "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 } } } } } } } } } } ```