# Reddit Profile Scraper (`codingfrontend/reddit-profile-scraper`) Actor Scrape Reddit user profiles by username or profile URL — including karma, bio, avatar, account age, and optional recent posts and comments. - **URL**: https://apify.com/codingfrontend/reddit-profile-scraper.md - **Developed by:** [codingfrontend](https://apify.com/codingfrontend) (community) - **Categories:** Social media, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 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 Profile Scraper Scrape Reddit user profiles by username or profile URL — including total karma, comment karma, post karma, bio, avatar, account age, Gold/Mod/Employee status, and optionally their recent posts and comments. ### Features - **Batch input** — Provide a list of usernames or reddit.com/user/xxx URLs - **Full profile data** — Karma breakdown (comment, post, awardee, awarder, total), account creation date, account age in days, verification status, bio, avatar, banner - **Recent posts** — Optional: fetch the user's recent submitted posts - **Recent comments** — Optional: fetch the user's recent comments - **Suspended & private accounts** — Gracefully handles missing/suspended profiles - **Parallel execution** — 2 profiles concurrently for efficiency - **Stealth mode** — Random user agents, headers, and fingerprinting --- ### Input Options | Field | Type | Default | Description | |-------|------|---------|-------------| | `usernames` | Array | *required* | Reddit usernames (or full reddit.com/user/xx URLs) | | `includeRecentPosts` | Boolean | `false` | Fetch user's recent submitted posts | | `includeRecentComments` | Boolean | `false` | Fetch user's recent comments | | `maxRecentItems` | Number | `25` | Max recent posts/comments to fetch per user (1–100) | | `headless` | Boolean | `true` | Run browser in headless mode | | `proxyConfiguration` | Object | Apify Residential | Proxy settings | --- ### Example Inputs #### Scrape profiles only ```json { "usernames": ["spez", "GallowBoob", "kn0thing"], "includeRecentPosts": false, "includeRecentComments": false } ```` #### Scrape profiles with recent posts ```json { "usernames": ["spez", "GallowBoob"], "includeRecentPosts": true, "maxRecentItems": 25 } ``` #### Using full profile URLs ```json { "usernames": [ "https://www.reddit.com/user/spez/", "https://www.reddit.com/user/GallowBoob/" ], "includeRecentPosts": true, "includeRecentComments": true, "maxRecentItems": 10 } ``` *** ### Output Dataset Fields | Field | Type | Description | |-------|------|-------------| | `id` | String | Reddit user fullname (t2\_xxx) | | `username` | String | Reddit username | | `profileUrl` | String | Full Reddit profile URL | | `commentKarma` | Number | Comment karma | | `linkKarma` | Number | Post/link karma | | `awardeeKarma` | Number | Awardee karma | | `awarderKarma` | Number | Awarder karma | | `totalKarma` | Number | Total karma | | `createdAt` | String | Account creation date (ISO 8601) | | `accountAgeDays` | Number | Account age in days | | `isGold` | Boolean | Whether user has Reddit Premium/Gold | | `isMod` | Boolean | Whether user is a moderator of any subreddit | | `isEmployee` | Boolean | Whether user is a Reddit employee | | `hasVerifiedEmail` | Boolean | Whether email is verified | | `isSuspended` | Boolean | Whether account is suspended | | `bio` | String | User bio / about me text | | `avatar` | String | Profile avatar image URL | | `bannerImg` | String | Profile banner image URL | | `recentPosts` | Array | Recent submitted posts (if `includeRecentPosts=true`) | | `recentComments` | Array | Recent comments (if `includeRecentComments=true`) | | `scrapedAt` | String | Scrape timestamp (ISO 8601) | *** ### Example Output ```json { "id": "t2_4x25quk", "username": "spez", "profileUrl": "https://www.reddit.com/user/spez/", "commentKarma": 98234, "linkKarma": 12456, "totalKarma": 110690, "createdAt": "2005-06-06T04:00:00.000Z", "accountAgeDays": 7280, "isGold": true, "isMod": false, "isEmployee": true, "hasVerifiedEmail": true, "isSuspended": false, "bio": "CEO of Reddit", "avatar": "https://styles.redditmedia.com/...", "scrapedAt": "2025-06-01T12:00:00.000Z" } ``` *** ### Related Actors - **Reddit Subreddit Scraper** — Scrape posts from a subreddit - **Reddit Subreddit Users Scraper** — Extract all unique users from a subreddit's posts and comments *** ### Author Built by **Kumar Lakshmanan** · # Actor input Schema ## `usernames` (type: `array`): List of Reddit usernames to scrape (without u/). Can also provide full profile URLs. ## `includeRecentPosts` (type: `boolean`): Fetch the user's recent submitted posts (up to maxRecentItems) ## `includeRecentComments` (type: `boolean`): Fetch the user's recent comments (up to maxRecentItems) ## `maxRecentItems` (type: `integer`): Maximum number of recent posts or comments to fetch per user ## `headless` (type: `boolean`): Run browser in headless mode (recommended for production) ## `proxyConfiguration` (type: `object`): Proxy settings. Apify Residential proxy recommended to avoid Reddit rate limits. ## Actor input object example ```json { "usernames": [ "spez", "GallowBoob" ], "includeRecentPosts": false, "includeRecentComments": false, "maxRecentItems": 25, "headless": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "usernames": [ "spez", "GallowBoob" ], "includeRecentPosts": false, "includeRecentComments": false, "headless": true }; // Run the Actor and wait for it to finish const run = await client.actor("codingfrontend/reddit-profile-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 = { "usernames": [ "spez", "GallowBoob", ], "includeRecentPosts": False, "includeRecentComments": False, "headless": True, } # Run the Actor and wait for it to finish run = client.actor("codingfrontend/reddit-profile-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 '{ "usernames": [ "spez", "GallowBoob" ], "includeRecentPosts": false, "includeRecentComments": false, "headless": true }' | apify call codingfrontend/reddit-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codingfrontend/reddit-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Profile Scraper", "description": "Scrape Reddit user profiles by username or profile URL — including karma, bio, avatar, account age, and optional recent posts and comments.", "version": "1.0", "x-build-id": "uO5xaZPL4bHmnhfWP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codingfrontend~reddit-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codingfrontend-reddit-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/codingfrontend~reddit-profile-scraper/runs": { "post": { "operationId": "runs-sync-codingfrontend-reddit-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/codingfrontend~reddit-profile-scraper/run-sync": { "post": { "operationId": "run-sync-codingfrontend-reddit-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "usernames" ], "properties": { "usernames": { "title": "Reddit Usernames", "type": "array", "description": "List of Reddit usernames to scrape (without u/). Can also provide full profile URLs.", "items": { "type": "string" } }, "includeRecentPosts": { "title": "Include Recent Posts", "type": "boolean", "description": "Fetch the user's recent submitted posts (up to maxRecentItems)", "default": false }, "includeRecentComments": { "title": "Include Recent Comments", "type": "boolean", "description": "Fetch the user's recent comments (up to maxRecentItems)", "default": false }, "maxRecentItems": { "title": "Max Recent Posts/Comments", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of recent posts or comments to fetch per user", "default": 25 }, "headless": { "title": "Headless Mode", "type": "boolean", "description": "Run browser in headless mode (recommended for production)", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Apify Residential proxy recommended to avoid Reddit rate limits.", "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 } } } } } } } } } } ```