# Reddit Hot Scraper (`vyshu_2006/reddit-hot-scraper`) Actor Ultra-fast Reddit API scraper. Extract titles, upvotes, and links from any subreddit in seconds. - **URL**: https://apify.com/vyshu\_2006/reddit-hot-scraper.md - **Developed by:** [Vaishnavi](https://apify.com/vyshu_2006) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / actor start 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 ### What does Reddit Hot Scraper do? Reddit Hot Scraper is an ultra-fast, premium Apify Actor that extracts the top/hottest posts or searches for specific keywords across any subreddit. It pulls data directly from the Reddit JSON API, minimizing overhead and returning data in milliseconds. Because it supports **Apify Residential Proxies** and **Deep Comment Extraction**, it stands far above the restโ€”yielding pure data at scale without getting blocked. It allows you to extract: * Post Titles & Authors * Upvote counts and Comment counts * Top 10 Comments per post (Optional) * Search Specific Keywords via Reddit Search * Clean direct URLs * The raw text content of the post * Formatting and creation dates ### Why use Reddit Hot Scraper? - **Search Enabled**: Tap into historical context or specific conversations by running deep keyword searches inside any community. - **Deep Comment Extraction**: Not just posts! Enable `scrapeComments` to extract the most upvoted comments from every post automatically, supplying high-quality community sentiment straight to your dataset. - **Proxy Supported**: Built-in `proxyConfiguration` seamlessly routes requests through Apify infrastructure, rendering your scraper invisible to anti-bot algorithms. - **Cheap**: Despite the premium features, bypassing bloated headless browsers guarantees fractional costs per run (less than traditional crawlers). ### How to use Reddit Hot Scraper 1. Go to the **Input** tab. 2. Enter the name of the `subreddit` you want to scrape (e.g. `javascript`, `python`, `news`). 3. (Optional) Enter a `searchKeyword` if you want to find specific topics instead of general hot posts. 4. Set the `maxPosts` number. 5. (Optional) Check the `scrapeComments` toggle to extract top comments for every post found. 6. Check your `proxyConfiguration` to ensure you are avoiding rate limits. 7. Click **Start**. ### Input | Field | Type | Description | | ----- | ---- | ----------- | | `subreddit` (required) | String | The exact name of the subreddit without "r/" (e.g., `javascript`) | | `maxPosts` | Integer | Maximum number of posts to pull (default `10`). | | `searchKeyword` | String | A specific keyword or phrase to search within the subreddit. | | `scrapeComments` | Boolean | If true, recursively fetches the highest rated comments for each post (slightly slower execution). | | `proxyConfiguration`| Object | Connect to Apify residential/datacenter proxies. | ### Output The tool outputs a clean dataset with a structure like this: ```json { "title": "Help! What does this javascript error mean?", "author": "devguru99", "upvotes": 412, "commentCount": 34, "url": "https://reddit.com/r/javascript/comments/...", "text": "I was working on my node app and saw this...", "subreddit": "javascript", "created": "2024-03-24T18:32:00.000Z", "comments": [ { "author": "helpfulDev", "upvotes": 120, "body": "You forgot to await a promise!", "created": "2024-03-24T18:35:00.000Z" } ] } ```` ### Pricing / Cost estimation Since this uses pure HTTP requests via lightweight Axios fetching, running this scraper costs merely fractions of a cent per run. You can comfortably scrape thousands of posts! Even with `scrapeComments` enabled, it uses highly optimized concurrent endpoint requests. ### Disclaimer Always respect Reddit's API Terms of Service. This tool is built strictly for structural extraction of publicly available top posts. # Actor input Schema ## `subreddit` (type: `string`): Name of the subreddit to scrape (e.g., javascript) ## `maxPosts` (type: `integer`): Maximum number of posts to scrape ## `searchKeyword` (type: `string`): Search reddit instead of getting hot posts ## `scrapeComments` (type: `boolean`): Extract top 10 comments for each post (slightly slower) ## `proxyConfiguration` (type: `object`): Select proxies to be used by your scraper. ## Actor input object example ```json { "subreddit": "javascript", "maxPosts": 10, "scrapeComments": false, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("vyshu_2006/reddit-hot-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = {} # Run the Actor and wait for it to finish run = client.actor("vyshu_2006/reddit-hot-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call vyshu_2006/reddit-hot-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=vyshu_2006/reddit-hot-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Hot Scraper", "description": "Ultra-fast Reddit API scraper. Extract titles, upvotes, and links from any subreddit in seconds.", "version": "1.0", "x-build-id": "zJ0QDaG7slGL5anzU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/vyshu_2006~reddit-hot-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-vyshu_2006-reddit-hot-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/vyshu_2006~reddit-hot-scraper/runs": { "post": { "operationId": "runs-sync-vyshu_2006-reddit-hot-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/vyshu_2006~reddit-hot-scraper/run-sync": { "post": { "operationId": "run-sync-vyshu_2006-reddit-hot-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Name of the subreddit to scrape (e.g., javascript)", "default": "javascript" }, "maxPosts": { "title": "Max Posts", "minimum": 1, "type": "integer", "description": "Maximum number of posts to scrape", "default": 10 }, "searchKeyword": { "title": "Search Keyword (Optional)", "type": "string", "description": "Search reddit instead of getting hot posts" }, "scrapeComments": { "title": "Scrape Top Comments", "type": "boolean", "description": "Extract top 10 comments for each post (slightly slower)", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Select proxies to be used by your scraper.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```