# Reddit Scraper Pro (`techionik9993/reddit-scraper-pro`) Actor Advanced Reddit data extractor for posts and deep comment threads. Capture high-fidelity metadata, upvotes, and authors using Playwright to bypass modern UI hurdles. Engineered for market research, sentiment analysis, and AI training. Professional, scalable, and reliable. - **URL**: https://apify.com/techionik9993/reddit-scraper-pro.md - **Developed by:** [Techionik](https://apify.com/techionik9993) (community) - **Categories:** Lead generation, Social media, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $11.00 / 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 Scraper Pro: Posts & Comments Extract high-quality data from Reddit efficiently. **Reddit Scraper Pro** uses Playwright to navigate Reddit's modern interface (Shreddit), ensuring you capture accurate post content, upvote counts, and detailed comment threads that simple API scrapers often miss. ### 🚀 Features - **Subreddit Extraction:** Scrape multiple subreddits simultaneously. - **Deep Comment Scraping:** Extract nested comments with customizable limits. - **Advanced Sorting:** Full support for `hot`, `new`, `top`, and `rising` filters. - **Time Filtering:** Granular control for `top` posts (hour, day, week, month, year, all). - **Modern UI Compatibility:** Specifically engineered to handle Reddit's latest web components. - **Metadata Rich:** Captures post IDs, authors, timestamps, and engagement metrics. ### 🛠️ Input Parameters | Field | Type | Description | Default | |-------|------|-------------|---------| | `startUrls` | Array | List of Subreddit or Post URLs. | `https://reddit.com` | | `maxPosts` | Integer | Total posts to scrape across all URLs. | `5` | | `maxComments` | Integer | Number of comments to extract per post. | `5` | | `sort` | String | Sort order: `hot`, `new`, `top`, `rising`. | `hot` | | `timeFilter` | String | Time range for 'top' sort (e.g., `month`). | `day` | ### 📊 Output Data The actor provides structured JSON output including: - **Post Details:** Title, Author, Subreddit, Post ID, and Permalink. - **Engagement:** Upvote score and total comment count. - **Content:** Full text of the main post. - **Comments:** Array of comments including Author, Text, and Upvotes. ### 💡 Use Cases 1. **Market Research:** Monitor niche communities to identify emerging consumer trends. 2. **Sentiment Analysis:** Scrape discussions to gauge public opinion on specific topics or brands. 3. **AI Training Data:** Build high-quality datasets for LLM fine-tuning or NLP tasks. 4. **Lead Generation:** Identify active users and influencers within specific interest groups. ### ⚖️ Note on Proxies Reddit employs strict anti-scraping measures. To ensure high success rates and avoid blocks, this actor is configured to use **Residential Proxies**. Ensure your Apify account has proxy access enabled for the best results. # Actor input Schema ## `startUrls` (type: `array`): Enter one or more subreddit URLs (e.g., https://reddit.com) ## `maxPosts` (type: `integer`): Total posts to scrape across all subreddits ## `maxComments` (type: `integer`): Number of comments to extract from each post ## `sort` (type: `string`): How to sort the posts in the subreddit ## `timeFilter` (type: `string`): Filter top posts by time period ## Actor input object example ```json { "startUrls": [ { "url": "https://www.reddit.com/r/Entrepreneur" } ], "maxPosts": 5, "maxComments": 5, "sort": "hot", "timeFilter": "day" } ```` # 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("techionik9993/reddit-scraper-pro").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 = {} # Run the Actor and wait for it to finish run = client.actor("techionik9993/reddit-scraper-pro").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 '{}' | apify call techionik9993/reddit-scraper-pro --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=techionik9993/reddit-scraper-pro", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Scraper Pro", "description": "Advanced Reddit data extractor for posts and deep comment threads. Capture high-fidelity metadata, upvotes, and authors using Playwright to bypass modern UI hurdles. Engineered for market research, sentiment analysis, and AI training. Professional, scalable, and reliable.", "version": "0.0", "x-build-id": "y9GhGMdiYcKTI3gDe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/techionik9993~reddit-scraper-pro/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-techionik9993-reddit-scraper-pro", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/techionik9993~reddit-scraper-pro/runs": { "post": { "operationId": "runs-sync-techionik9993-reddit-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/techionik9993~reddit-scraper-pro/run-sync": { "post": { "operationId": "run-sync-techionik9993-reddit-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Subreddit URLs", "type": "array", "description": "Enter one or more subreddit URLs (e.g., https://reddit.com)", "items": { "type": "object", "properties": { "url": { "type": "string", "title": "URL", "description": "Reddit subreddit or post URL", "pattern": "^https?://.*" } }, "required": [ "url" ] }, "default": [ { "url": "https://www.reddit.com/r/Entrepreneur" } ] }, "maxPosts": { "title": "Maximum Posts", "minimum": 1, "type": "integer", "description": "Total posts to scrape across all subreddits", "default": 5 }, "maxComments": { "title": "Max Comments per Post", "minimum": 0, "type": "integer", "description": "Number of comments to extract from each post", "default": 5 }, "sort": { "title": "Sorting", "enum": [ "hot", "new", "top", "rising" ], "type": "string", "description": "How to sort the posts in the subreddit", "default": "hot" }, "timeFilter": { "title": "Time Filter (Only for 'Top' sort)", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Filter top posts by time period", "default": "day" } } }, "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 } } } } } } } } } } ```