# Reddit Subreddit Info Scraper — Stats & Details (`toolzerhub/reddit-subreddit-info-scraper`) Actor Fetch a subreddit's public profile by name, including community information and available statistics. Enable the optional detail add-on to include style, settings, and highlights. - **URL**: https://apify.com/toolzerhub/reddit-subreddit-info-scraper.md - **Developed by:** [ToolzerHub](https://apify.com/toolzerhub) (community) - **Categories:** Social media, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.25 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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 **Fetch one subreddit's public profile record from just its name.** Reddit Subreddit Info Scraper is the ToolzerHub lookup tool for community research and due diligence before a larger scrape. It skips feed pagination entirely and concentrates the run on subscriber counts, description, and rules metadata for a single community. ### One subreddit name is the whole input Provide a subreddit name and, optionally, turn on the style, settings, and highlights add-on for a fuller community snapshot. #### Look up a subreddit Enter a subreddit name and enable Add Subreddit Details when you need style, settings, and highlights merged into the record. | Field | Type | Required | Description | | --- | --- | --- | --- | | `subreddit_name` | string | Yes | Subreddit name (without r/), or a subreddit URL (https://www.reddit.com/r//). | | `enrichSubredditDetails` | boolean | No | Fetch subreddit style, settings, and highlights alongside the base subreddit info. | #### Example subreddit lookup ```json { "subreddit_name": "pics", "enrichSubredditDetails": true } ```` ### A subreddit record built for community research #### 🏷️ Subreddit identity | Field | Type | Description | | --- | --- | --- | | `subreddit_id` | string | Reddit subreddit ID. | | `subreddit` | string | Subreddit display name the item belongs to. | | `title` | string | Post or subreddit title when available. | | `created_at` | string | Creation timestamp reported by the source payload. | #### 🔍 Optional detail payload | Field | Type | Description | | --- | --- | --- | | `subreddit_detail` | object | Subreddit style, settings, and highlights payload, present when Add Subreddit Details is enabled. | #### Subreddit profile preview ```json { "subreddit_id": "t5_2qh0u", "subreddit": "pics", "title": "Reddit Pics" } ``` ### Cost of a subreddit lookup This Actor uses Apify pay-per-result pricing. You are charged for successful dataset results according to the Actor pricing shown on the Apify Pricing tab. Apify's free credits may cover small test runs and up to the free result allowance configured for the Actor. Use Max Results to bound a run before scaling to larger subreddits, users, or query lists. ### Responsible subreddit-data use This Actor extracts publicly available Reddit content. It should not be used to collect private user data. Make sure your use case complies with applicable privacy laws, Reddit's terms, and your own legal obligations. If you are unsure, consult a qualified lawyer. ### Run this Actor from code #### Python ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_API_TOKEN") run = client.actor("toolzerhub/reddit-subreddit-info-scraper").call(run_input={ "subreddit_name": "pics", "enrichSubredditDetails": true }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` #### Node.js ```javascript import { ApifyClient } from "apify-client"; const client = new ApifyClient({ token: "YOUR_APIFY_API_TOKEN" }); const run = await client.actor("toolzerhub/reddit-subreddit-info-scraper").call({ "subreddit_name": "pics", "enrichSubredditDetails": true }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` ### Browse a subreddit's feed or search Reddit directly - [Reddit Subreddit Posts Scraper — Bulk Export](https://apify.com/toolzerhub/reddit-subreddit-posts-scraper) — Collect posts from any subreddit by Best, Hot, New, Top, or Rising. Paginate automatically, choose a maximum result count, and optionally enrich every item with complete post details. - [Reddit Post Scraper — Details by URL or ID](https://apify.com/toolzerhub/reddit-post-scraper) — Fetch complete Reddit post records by post ID or permalink URL, or batch multiple comma-separated post IDs in one run. Export structured post, author, content, and engagement data. - [Reddit Search Scraper — Posts, Users & More](https://apify.com/toolzerhub/reddit-search-scraper) — Search Reddit by keyword across posts, users, subreddits, or comments. Choose the result type, paginate automatically, and export structured search results for research and monitoring. ### ToolzerHub support Use the Issues tab on the Actor page for bug reports, missing fields, and feature requests. Contact: contact@toolzerhub.com # Actor input Schema ## `subreddit_name` (type: `string`): Subreddit name (without r/), or a subreddit URL (https://www.reddit.com/r//). ## `enrichSubredditDetails` (type: `boolean`): Fetch subreddit style, settings, and highlights alongside the base subreddit info. ## Actor input object example ```json { "subreddit_name": "pics", "enrichSubredditDetails": false } ``` # Actor output Schema ## `dataset` (type: `string`): Dataset containing all scraped data # 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_name": "pics" }; // Run the Actor and wait for it to finish const run = await client.actor("toolzerhub/reddit-subreddit-info-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_name": "pics" } # Run the Actor and wait for it to finish run = client.actor("toolzerhub/reddit-subreddit-info-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_name": "pics" }' | apify call toolzerhub/reddit-subreddit-info-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=toolzerhub/reddit-subreddit-info-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Subreddit Info Scraper — Stats & Details", "description": "Fetch a subreddit's public profile by name, including community information and available statistics. Enable the optional detail add-on to include style, settings, and highlights.", "version": "0.1", "x-build-id": "BaoXpJOkerrD2bcDy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/toolzerhub~reddit-subreddit-info-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-toolzerhub-reddit-subreddit-info-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/toolzerhub~reddit-subreddit-info-scraper/runs": { "post": { "operationId": "runs-sync-toolzerhub-reddit-subreddit-info-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/toolzerhub~reddit-subreddit-info-scraper/run-sync": { "post": { "operationId": "run-sync-toolzerhub-reddit-subreddit-info-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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_name" ], "properties": { "subreddit_name": { "title": "Subreddit Name", "type": "string", "description": "Subreddit name (without r/), or a subreddit URL (https://www.reddit.com/r//)." }, "enrichSubredditDetails": { "title": "Add Subreddit Details", "type": "boolean", "description": "Fetch subreddit style, settings, and highlights alongside the base subreddit info.", "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 } } } } } } } } } } ```