# Fast Reddit Scraper ($2/1K) (`tom_mobi/fast-reddit-scraper`) Actor Scrape Reddit posts, comments, subreddits, search results, and user profiles — no API key, no login, no rate limits. From $2 per 1,000 results. - **URL**: https://apify.com/tom\_mobi/fast-reddit-scraper.md - **Developed by:** [Tom Mobi](https://apify.com/tom_mobi) (community) - **Categories:** Social media, Lead generation, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $2.00 / 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 ### What does Fast Reddit Scraper do? **Fast Reddit Scraper** is a high-performance Apify Actor that extracts **posts**, **comments**, **communities** (subreddits), and **user profiles** from Reddit using Reddit's built-in JSON endpoints. **No login required, no proxy needed** — it works directly with Reddit's public interface at maximum speed. Key capabilities: - **Scrape subreddits** by Hot, New, Top, Controversial, or Rising and get full community info - **Search Reddit** by keyword — search posts, comments, communities, and users all from one input - **Extract specific posts** by providing direct Reddit post URLs in `startUrls` - **Search users** — fetch detailed profile info (karma, verified status, gold, mod status, join date, description) plus their recent posts and comments - **Search communities** — discover subreddits matching your keywords - **Fetch comments** for discovered posts with full threading - **NSFW filtering** — optionally include or exclude mature content - **Flexible input** — combine subreddit listings, keyword searches, and post URLs in a single run The Actor outputs clean **JSON data** directly to the Apify Dataset, accessible via API in JSON, CSV, Excel, or HTML formats. It includes built-in **retry logic** and **rate-limit handling** to ensure reliable scraping. ### Why use Fast Reddit Scraper? Reddit contains **billions of discussions** across hundreds of thousands of communities — making it one of the richest sources of public opinion, market research, trend analysis, and content discovery. This Actor gives you: - **No login or API key needed** — works directly with Reddit's public JSON interface, no authentication required - **No proxy needed** — direct HTTP requests, no proxy configuration or costs - **Structured data output** — every post, comment, community, and user is normalized into consistent fields - **High performance** — lightweight HTTP requests with no browser overhead, concurrent connections with rate-limit awareness - **Scalable** — pagination support to collect hundreds or thousands of posts per run - **All-in-one input** — one clean JSON config controls everything Common use cases: **market research**, **sentiment analysis**, **trend monitoring**, **competitor intelligence**, **content curation**, **academic research**, and **brand monitoring**. ### How to use Fast Reddit Scraper 1. Open the Actor in [Apify Console](https://console.apify.com) 2. Configure your input — provide `startUrls`, `searches`, or both 3. Optionally toggle search types, disable comment scraping, or change sort 4. Click **Run** and wait for completion 5. Access your data from the **Dataset** tab — download as JSON, CSV, Excel, or HTML #### Quick example — search and browse ```json { "startUrls": [{ "url": "https://www.reddit.com/r/javascript/" }], "searches": ["react", "typescript"], "sort": "top", "time": "week", "maxItems": 50, "includeNSFW": false, "searchPosts": true, "fetchPostComments": false } ```` This scrapes the top 50 posts from r/javascript this week, then also searches for "react" and "typescript" across that subreddit. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `startUrls` | array | `[]` | Reddit URLs — subreddit URLs (e.g., `https://www.reddit.com/r/javascript/`) are scraped as listings; post URLs are fetched individually; user URLs fetch profiles. | | `searches` | array | `[]` | Keywords to search Reddit for. Each keyword is searched independently. | | `sort` | string | `hot` | Sort method: `relevance`, `hot`, `new`, `top`, `controversial`, `rising`. | | `time` | string | `all` | Time filter: `all`, `hour`, `day`, `week`, `month`, `year`. | | `maxItems` | integer | 100 | Max items per source. | | `includeNSFW` | boolean | false | Include NSFW content in results. | | `skipComments` | boolean | false | Skip all comment collection. | | `skipUserPosts` | boolean | false | Skip user posts when searching users. | | `skipCommunity` | boolean | true | Skip community/subreddit info. | | `ignorestartUrls` | boolean | false | When searching, ignore subreddit listings from `startUrls` (still use them as search context). | | `searchPosts` | boolean | true | Search for posts matching keywords. | | `searchComments` | boolean | false | Search for comments containing keywords. | | `fetchPostComments` | boolean | false | Fetch comments for discovered posts. | | `searchCommunities` | boolean | false | Search for subreddits matching keywords. | | `searchUsers` | boolean | false | Search for Reddit users matching keywords. | #### Input examples **Scrape a subreddit listing:** ```json { "startUrls": [{ "url": "https://www.reddit.com/r/python/" }], "sort": "new", "maxItems": 50 } ``` **Search all of Reddit for posts + communities:** ```json { "searches": ["machine learning"], "searchPosts": true, "searchCommunities": true, "searchUsers": true } ``` **Scrape specific posts:** ```json { "startUrls": [ { "url": "https://www.reddit.com/r/python/comments/1abc/example/" }, { "url": "https://www.reddit.com/r/javascript/comments/2def/another/" } ] } ``` **Search within a subreddit + fetch comments:** ```json { "startUrls": [{ "url": "https://www.reddit.com/r/news/" }], "searches": ["election"], "sort": "relevance", "searchPosts": true, "fetchPostComments": true, "maxItems": 25 } ``` ### Output The Actor outputs items of four types — `post`, `comment`, `community`, and `user` — each with a consistent field set. #### Post record ```json { "type": "post", "id": "1abcde", "title": "Example Reddit Post", "body": "This is the post content...", "url": "https://www.reddit.com/r/python/comments/1abcde/example_post/", "author": "reddituser", "subreddit": "python", "score": 342, "upvoteRatio": 0.89, "numComments": 27, "createdUtc": "2026-06-22T14:30:00+00:00", "isVideo": false, "isNsfw": false, "domain": "self.python", "flair": "Resource", "thumbnail": "https://example.com/thumb.jpg" } ``` #### Comment record ```json { "type": "comment", "id": "fghijk", "postTitle": "Example Reddit Post", "body": "This is a comment on the post...", "author": "commenter123", "score": 45, "createdUtc": "2026-06-22T15:00:00+00:00", "depth": 1, "subreddit": "python", "isSubmitter": false } ``` #### Community record ```json { "type": "community", "id": "2defgh", "name": "javascript", "title": "JavaScript community", "description": "All about JavaScript...", "subscribers": 2500000, "activeUsers": 8500, "createdUtc": "2008-01-15T00:00:00+00:00", "isNsfw": false, "url": "https://www.reddit.com/r/javascript/" } ``` #### User record ```json { "type": "user", "id": "3ijklm", "username": "reddituser", "createdUtc": "2015-03-10T12:00:00+00:00", "linkKarma": 4521, "commentKarma": 12890, "totalKarma": 17411, "isGold": true, "isVerified": false, "isMod": true, "description": "A short bio...", "url": "https://www.reddit.com/user/reddituser" } ``` You can download the dataset in various formats such as JSON, HTML, CSV, or Excel directly from the Apify Console. ### Data fields | Field | Types | Description | |-------|-------|-------------| | `type` | all | `post`, `comment`, `community`, or `user` | | `id` | all | Reddit content/user ID | | `title` | post, community | Post title or community display name | | `body` | post, comment | Post self-text or comment body | | `author` | post, comment | Reddit username | | `subreddit` | post, comment | Source subreddit | | `score` | post, comment | Upvote score | | `numComments` | post | Number of comments | | `createdUtc` | all | ISO 8601 timestamp | | `url` | all | Permanent link | | `isNsfw` | post, community, user | Mature content flag | | `flair` | post | Post flair text | | `upvoteRatio` | post | Upvote/downvote ratio | | `depth` | comment | Nesting depth in thread | | `subscribers` | community | Subreddit subscriber count | | `activeUsers` | community | Currently active users | | `username` | user | Reddit username | | `linkKarma` / `commentKarma` / `totalKarma` | user | Reddit karma stats | | `isGold` / `isVerified` / `isMod` | user | Account badges | ### Pricing **From $2 per 1,000 results** — the Actor uses lightweight HTTP requests with no browser overhead, making it very cost-efficient. No proxy costs, no API fees. ### Tips and advanced options - **Combine listings + searches**: provide a subreddit URL in `startUrls` and keywords in `searches` — the subreddit is scraped as a listing and used as scope for keyword searches - **Search users by keyword**: set `searchUsers: true` and the Actor looks up the exact username via `about.json` and also searches for their posts - **Avoid duplicates**: the Actor deduplicates results by `type:id` across all sources - **NSFW filtering**: set `includeNSFW: false` (default) to filter out mature content from all result types - **Monitoring**: run on a schedule with `sort: "new"` to track all new posts in a subreddit - **Large scrapes**: set `maxItems` to `0` for unlimited pagination (up to Reddit's ~1000-item visibility limit) - **Comment depth**: comments are flattened from the full reply tree — nested replies become individual records with a `depth` field - **Ignore startUrls when searching**: set `ignorestartUrls: true` to use startUrls only as search scope without scraping their listings - **Search scope**: when a subreddit URL is in `startUrls`, searches are scoped to that subreddit; otherwise searches span all of Reddit ### FAQ, disclaimers, and support **Is this against Reddit's terms?** This Actor scrapes **publicly available data** that is accessible without authentication. It respects rate limits and uses reasonable delays between requests. Users are responsible for complying with Reddit's Terms of Service and applicable laws. **Does this use the Reddit API?** No — it uses Reddit's public JSON endpoints (the same data served to the web interface). No API key or OAuth is required. No login or proxy needed. **Why are some posts missing?** Reddit's JSON endpoint returns approximately the first 1,000 results for any listing. For complete historical data, use Reddit's official API. **Can this scrape private/restricted subreddits?** No — only public subreddits and posts are accessible. Private or quarantined communities return a 403 error. **How do `searchUsers` and `startUrls` user URLs differ?** `searchUsers` takes a keyword and attempts an exact match lookup plus searches for that user's posts. User URLs in `startUrls` (e.g., `https://www.reddit.com/user/username`) fetch the exact profile and posts by that user. **Need help?** Open an issue on the Actor's Issues tab in Apify Console. For custom scraping solutions or feature requests, contact us directly. # Actor input Schema ## `startUrls` (type: `array`): Reddit URLs to scrape — supports subreddit URLs (e.g. https://www.reddit.com/r/javascript/) and specific post URLs. Subreddits are scraped as listings; individual post URLs are fetched directly. ## `searches` (type: `array`): Keywords to search Reddit for. Each keyword is searched separately. Combine with startUrls to limit search to a subreddit. ## `sort` (type: `string`): Sorting method for posts and search results. ## `time` (type: `string`): Time filter for top/controversial/relevance sorting. ## `maxItems` (type: `integer`): Maximum number of posts/comments to scrape per source (0 = no limit, up to ~1000 per Reddit pagination cap). ## `includeNSFW` (type: `boolean`): Whether to include Not Safe For Work (NSFW/18+) content in results. ## `skipComments` (type: `boolean`): Skip collecting comments entirely (from all sources). ## `skipUserPosts` (type: `boolean`): When searching users and communities, skip fetching their posts. ## `skipCommunity` (type: `boolean`): Skip fetching subreddit community/about info. ## `ignorestartUrls` (type: `boolean`): When searches are provided and startUrls point to subreddits, ignore the subreddit listings and only use startUrls as search context. ## `searchPosts` (type: `boolean`): Search for posts matching the keywords. ## `searchComments` (type: `boolean`): Search for comments containing the keywords. ## `fetchPostComments` (type: `boolean`): After finding posts, fetch their comments (requires skipComments to be false). ## `searchCommunities` (type: `boolean`): Search for subreddits matching the keywords. ## `searchUsers` (type: `boolean`): Search for Reddit users matching the keywords. ## Actor input object example ```json { "startUrls": [], "searches": [], "sort": "hot", "time": "all", "maxItems": 100, "includeNSFW": false, "skipComments": false, "skipUserPosts": false, "skipCommunity": true, "ignorestartUrls": false, "searchPosts": true, "searchComments": false, "fetchPostComments": false, "searchCommunities": false, "searchUsers": false } ``` # 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("tom_mobi/fast-reddit-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 = {} # Run the Actor and wait for it to finish run = client.actor("tom_mobi/fast-reddit-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 '{}' | apify call tom_mobi/fast-reddit-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=tom_mobi/fast-reddit-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Fast Reddit Scraper ($2/1K)", "description": "Scrape Reddit posts, comments, subreddits, search results, and user profiles — no API key, no login, no rate limits. From $2 per 1,000 results.", "version": "1.0", "x-build-id": "pOzEHLtNmpl5cA5SY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tom_mobi~fast-reddit-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tom_mobi-fast-reddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/tom_mobi~fast-reddit-scraper/runs": { "post": { "operationId": "runs-sync-tom_mobi-fast-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/tom_mobi~fast-reddit-scraper/run-sync": { "post": { "operationId": "run-sync-tom_mobi-fast-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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Reddit URLs to scrape — supports subreddit URLs (e.g. https://www.reddit.com/r/javascript/) and specific post URLs. Subreddits are scraped as listings; individual post URLs are fetched directly.", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "searches": { "title": "Search Keywords", "type": "array", "description": "Keywords to search Reddit for. Each keyword is searched separately. Combine with startUrls to limit search to a subreddit.", "default": [], "items": { "type": "string" } }, "sort": { "title": "Sort Posts By", "enum": [ "relevance", "hot", "new", "top", "controversial", "rising" ], "type": "string", "description": "Sorting method for posts and search results.", "default": "hot" }, "time": { "title": "Time Filter", "enum": [ "all", "hour", "day", "week", "month", "year" ], "type": "string", "description": "Time filter for top/controversial/relevance sorting.", "default": "all" }, "maxItems": { "title": "Max Items", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Maximum number of posts/comments to scrape per source (0 = no limit, up to ~1000 per Reddit pagination cap).", "default": 100 }, "includeNSFW": { "title": "Include NSFW Content", "type": "boolean", "description": "Whether to include Not Safe For Work (NSFW/18+) content in results.", "default": false }, "skipComments": { "title": "Skip Comments", "type": "boolean", "description": "Skip collecting comments entirely (from all sources).", "default": false }, "skipUserPosts": { "title": "Skip User Posts", "type": "boolean", "description": "When searching users and communities, skip fetching their posts.", "default": false }, "skipCommunity": { "title": "Skip Community Info", "type": "boolean", "description": "Skip fetching subreddit community/about info.", "default": true }, "ignorestartUrls": { "title": "Ignore Start URLs When Searching", "type": "boolean", "description": "When searches are provided and startUrls point to subreddits, ignore the subreddit listings and only use startUrls as search context.", "default": false }, "searchPosts": { "title": "Search Posts", "type": "boolean", "description": "Search for posts matching the keywords.", "default": true }, "searchComments": { "title": "Search Comments", "type": "boolean", "description": "Search for comments containing the keywords.", "default": false }, "fetchPostComments": { "title": "Fetch Comments for Found Posts", "type": "boolean", "description": "After finding posts, fetch their comments (requires skipComments to be false).", "default": false }, "searchCommunities": { "title": "Search Communities (Subreddits)", "type": "boolean", "description": "Search for subreddits matching the keywords.", "default": false }, "searchUsers": { "title": "Search Users", "type": "boolean", "description": "Search for Reddit users matching the keywords.", "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 } } } } } } } } } } ```