# Reddit Scraper โ€“ Posts, Full Comment Trees & Users (`ninhothedev/reddit-scraper`) Actor $1.5/1K ๐Ÿ”ฅ Fast Reddit scraper! Posts, comments, scores, authors & full comment trees from any subreddit or search. JSON, CSV, Excel or API in seconds. Paste a subreddit or keyword & pull thousands of posts for research & trend-tracking โšก - **URL**: https://apify.com/ninhothedev/reddit-scraper.md - **Developed by:** [ninhothedev](https://apify.com/ninhothedev) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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.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 โ€“ Posts, Full Comment Trees & Users **Scrape Reddit posts, FULL nested comment trees, user posts and search: score, upvote ratio, awards, media, AI-ready markdown and token counts. As JSON, CSV or Excel.** ### ๐Ÿ’ต Pricing **Pay per result โ€” $0.001 per item.** No subscription, OAuth or Residential. You only pay for the data you scrape, and new Apify accounts include free monthly credits so you can test it for **$0**. ### ๐Ÿ”Ž What can it extract? - Post: title, score, upvote ratio, awards - **Full nested comment trees** (replies) - Author, subreddit, flair, NSFW/stickied - Media (gallery, video), markdown + token counts - Modes: subreddit, post, user, search ### ๐Ÿš€ How do I use it? 1. Click **Try for free**. 2. Set the input (see example below). 3. Click **Start** and download results as JSON, CSV or Excel โ€” or pull them via the API / schedule them. ### โš™๏ธ Input example ```json { "mode": "subreddit", "subreddit": "python", "sort": "top", "maxPosts": 50, "includeComments": true } ```` ### ๐Ÿ“ฆ Output example ```json { "title": "\u2026", "score": 4200, "upvote_ratio": 0.98, "num_comments": 351, "comments": [ { "author": "\u2026", "body": "\u2026", "replies": [] } ] } ``` ### ๐ŸŽฏ Use cases - Sentiment & community research - AI / RAG over discussions - Brand & topic monitoring - Lead/market research ### ๐Ÿ’ฐ How much will it cost? You pay only the per-result price (with a free Reddit app): 100 โ†’ ~$0.1 ยท 1,000 โ†’ ~$1 ยท 10,000 โ†’ ~$10 ### ๐Ÿ†š Why this one | Feature | This actor | Others | |---|---|---| | Full comment trees | โœ… | top-level only | | AI markdown + tokens | โœ… | โŒ | | OAuth = free, no proxy | โœ… | proxy only | ### ๐Ÿ”— Related actors - [Hacker News Scraper](https://apify.com/ninhothedev/hacker-news-scraper) โ€” tech discussions - [Google News Scraper](https://apify.com/ninhothedev/google-news-scraper) โ€” news - [Devto Scraper](https://apify.com/ninhothedev/devto-scraper) โ€” dev articles - [Instagram Scraper](https://apify.com/ninhothedev/instagram-scraper) โ€” social ### โ“ FAQ **Credentials?** Reddit blocks datacenter IPs โ€” add a free Reddit app's Client ID/Secret (OAuth) for fast, proxy-free scraping, or use a residential proxy. ### ๐Ÿ›Ÿ Support Found a bug or need an extra field? Open an issue on the actor โ€” fixes and new fields ship fast. ### Legal & privacy Public Reddit content. Respect Reddit's API terms. *** **Keywords:** reddit scraper, posts, comments, subreddit, sentiment, AI training, social media, JSON CSV Excel # Actor input Schema ## `mode` (type: `string`): What to scrape: subreddit posts, specific posts (with full comments), a user's posts, or search results. ## `subreddit` (type: `string`): Subreddit name without r/ (e.g. 'python'). Used by subreddit mode, and to restrict search. ## `sort` (type: `string`): Sort order for posts (hot/new/top/rising/controversial; for search: relevance/top/new/comments). ## `timeFilter` (type: `string`): Time window for 'top'/'controversial'/search sorts. ## `postUrls` (type: `array`): Reddit post URLs to scrape with their full comment trees (mode = post). ## `username` (type: `string`): Reddit username without u/ (mode = user). ## `searchQuery` (type: `string`): Search keywords (mode = search). Combine with 'subreddit' to restrict. ## `maxPosts` (type: `integer`): Maximum posts to scrape per run (paginated automatically). ## `includeComments` (type: `boolean`): Also fetch the full nested comment tree for each post (post mode always includes them). ## `maxComments` (type: `integer`): Cap the number of comments fetched per post (across the whole tree). ## `maxCommentDepth` (type: `integer`): How deep to follow nested replies (1 = top-level only). ## `commentSort` (type: `string`): How to sort comments. ## `clientId` (type: `string`): From a free Reddit app (reddit.com/prefs/apps โ†’ create app โ†’ type 'script' or 'web'). Enables the fast OAuth API with NO proxy. Leave empty to use the .json fallback (needs a residential proxy). ## `clientSecret` (type: `string`): The secret of your Reddit app. ## `userAgent` (type: `string`): Optional custom User-Agent (Reddit recommends a unique one, e.g. 'web:myapp:1.0 (by /u/me)'). ## `proxyConfiguration` (type: `object`): Only used for the .json fallback (no OAuth credentials). Use RESIDENTIAL โ€” Reddit blocks datacenter IPs. Not needed when Client ID/Secret are set. ## Actor input object example ```json { "mode": "subreddit", "subreddit": "python", "sort": "hot", "timeFilter": "all", "postUrls": [], "maxPosts": 50, "includeComments": false, "maxComments": 200, "maxCommentDepth": 10, "commentSort": "top", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `posts` (type: `string`): No description # 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": "python", "maxPosts": 50, "maxComments": 200, "maxCommentDepth": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("ninhothedev/reddit-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 = { "subreddit": "python", "maxPosts": 50, "maxComments": 200, "maxCommentDepth": 10, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("ninhothedev/reddit-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 '{ "subreddit": "python", "maxPosts": 50, "maxComments": 200, "maxCommentDepth": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call ninhothedev/reddit-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ninhothedev/reddit-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Scraper โ€“ Posts, Full Comment Trees & Users", "description": "$1.5/1K ๐Ÿ”ฅ Fast Reddit scraper! Posts, comments, scores, authors & full comment trees from any subreddit or search. JSON, CSV, Excel or API in seconds. Paste a subreddit or keyword & pull thousands of posts for research & trend-tracking โšก", "version": "1.0", "x-build-id": "5FuisvvqD1CikwjeA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ninhothedev~reddit-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ninhothedev-reddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/ninhothedev~reddit-scraper/runs": { "post": { "operationId": "runs-sync-ninhothedev-reddit-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/ninhothedev~reddit-scraper/run-sync": { "post": { "operationId": "run-sync-ninhothedev-reddit-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": { "mode": { "title": "Mode", "enum": [ "subreddit", "post", "user", "search" ], "type": "string", "description": "What to scrape: subreddit posts, specific posts (with full comments), a user's posts, or search results.", "default": "subreddit" }, "subreddit": { "title": "Subreddit", "type": "string", "description": "Subreddit name without r/ (e.g. 'python'). Used by subreddit mode, and to restrict search." }, "sort": { "title": "Sort", "enum": [ "hot", "new", "top", "rising", "controversial", "relevance" ], "type": "string", "description": "Sort order for posts (hot/new/top/rising/controversial; for search: relevance/top/new/comments).", "default": "hot" }, "timeFilter": { "title": "Time filter", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time window for 'top'/'controversial'/search sorts.", "default": "all" }, "postUrls": { "title": "Post URLs", "type": "array", "description": "Reddit post URLs to scrape with their full comment trees (mode = post).", "default": [], "items": { "type": "string" } }, "username": { "title": "Username", "type": "string", "description": "Reddit username without u/ (mode = user)." }, "searchQuery": { "title": "Search query", "type": "string", "description": "Search keywords (mode = search). Combine with 'subreddit' to restrict." }, "maxPosts": { "title": "Max posts", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum posts to scrape per run (paginated automatically).", "default": 50 }, "includeComments": { "title": "Include comments", "type": "boolean", "description": "Also fetch the full nested comment tree for each post (post mode always includes them).", "default": false }, "maxComments": { "title": "Max comments per post", "minimum": 0, "maximum": 5000, "type": "integer", "description": "Cap the number of comments fetched per post (across the whole tree).", "default": 200 }, "maxCommentDepth": { "title": "Max comment depth", "minimum": 1, "maximum": 50, "type": "integer", "description": "How deep to follow nested replies (1 = top-level only).", "default": 10 }, "commentSort": { "title": "Comment sort", "enum": [ "top", "best", "new", "controversial", "old", "qa" ], "type": "string", "description": "How to sort comments.", "default": "top" }, "clientId": { "title": "Reddit Client ID (recommended)", "type": "string", "description": "From a free Reddit app (reddit.com/prefs/apps โ†’ create app โ†’ type 'script' or 'web'). Enables the fast OAuth API with NO proxy. Leave empty to use the .json fallback (needs a residential proxy)." }, "clientSecret": { "title": "Reddit Client Secret", "type": "string", "description": "The secret of your Reddit app." }, "userAgent": { "title": "User agent", "type": "string", "description": "Optional custom User-Agent (Reddit recommends a unique one, e.g. 'web:myapp:1.0 (by /u/me)')." }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Only used for the .json fallback (no OAuth credentials). Use RESIDENTIAL โ€” Reddit blocks datacenter IPs. Not needed when Client ID/Secret are set.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```