# Reddit Profile Scraper | Fastest Bulk Username Lookup (`clearpath/reddit-profile-scraper`) Actor Scrape 1,000+ Reddit profiles in seconds. Get karma breakdown, account age, verification status, premium/mod flags, and all public fields. Accepts usernames, u/name, profile URLs, or CSV uploads. No Reddit login needed. - **URL**: https://apify.com/clearpath/reddit-profile-scraper.md - **Developed by:** [ClearPath](https://apify.com/clearpath) (community) - **Categories:** Lead generation, Automation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 1,000 profiles 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 Profile Scraper | Bulk Username Lookup (2026)
1,000 profiles in under 60 seconds — the fastest Reddit profile scraper on Apify.
Pass one username or ten thousand. Get back karma, account age, verification status, and every public profile field Reddit exposes.
Clearpath Reddit Suite   •  Search, analyze, and monitor Reddit at scale
➤ You are here
Reddit Profile Scraper
Bulk profile lookup 		 Reddit MCP Server
Search posts & comments for AI agents 		 Reddit Answers API
AI-generated answers from Reddit discussions
#### Copy to your AI assistant Copy this block into ChatGPT, Claude, Cursor, or any LLM to start building with this data. ```` Reddit Profile Scraper (clearpath/reddit-profile-scraper) on Apify fetches public Reddit profile data for bulk username lists. 1,000 profiles in ~20 seconds. Returns 25+ fields per profile: karma breakdown (total, link, comment, awardee, awarder), account metadata (created date, verified email, gold/premium status, employee flag, mod status), avatar URLs, snoovatar, profile subreddit info. Input: single username, array of usernames, or uploaded CSV/TXT file. Accepts any format: plain username, u/name, @name, or full profile URLs. Output: JSON array, one object per profile. Pricing: $1.49 per 1,000 profiles (PPE). No Reddit API key or login required. Apify token required. ```` ### Key Features - **1,000 profiles in ~20 seconds** — optimized for bulk throughput - **Any input format** — plain username, `u/spez`, `@spez`, full profile URLs, CSV uploads - **25+ fields per profile** — karma breakdown, account age, verification, premium status, avatar, mod status - **No Reddit login needed** — uses public data, no API keys required ### How to Scrape Reddit Profiles #### Single username ```json { "username": "spez" } ```` #### Multiple usernames (mixed formats) ```json { "usernames": [ "spez", "u/kn0thing", "https://www.reddit.com/user/AutoModerator", "@thisisbillgates" ] } ``` #### Bulk from file URL Point to a hosted `.txt` or `.csv` file. ```json { "usernamesFileUrl": "https://example.com/my-usernames.csv" } ``` You can also upload a file directly using the **Upload file** field in the Apify Console. ### Input Parameters | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `username` | string | No | A single Reddit username | | `usernames` | string\[] | No | List of usernames, `u/` prefixed names, or profile URLs | | `usernamesFileUrl` | string | No | URL to a hosted .txt or .csv file with usernames | | `usernamesFile` | string | No | Upload a .txt or .csv file directly via the Apify Console | At least one of `username`, `usernames`, or `usernamesFile` is required. ### What Data Can You Extract from Reddit Profiles? Every profile includes all public fields Reddit returns: - **Karma** — `total_karma`, `link_karma`, `comment_karma`, `awardee_karma`, `awarder_karma` - **Account** — `name`, `id`, `created_utc`, `has_verified_email`, `verified` - **Status** — `is_gold` (premium), `is_mod`, `is_employee`, `is_blocked`, `is_friend` - **Avatar** — `icon_img`, `snoovatar_img`, `snoovatar_size`, `pref_show_snoovatar` - **Profile subreddit** — display name, description, banner, icon, subscriber count, NSFW flag #### Output Example ```json { "username": "spez", "_status": "found", "name": "spez", "id": "1w72", "total_karma": 937178, "link_karma": 182258, "comment_karma": 754920, "awardee_karma": 0, "awarder_karma": 0, "created_utc": 1118030400.0, "has_verified_email": true, "verified": true, "is_gold": true, "is_mod": true, "is_employee": true, "is_blocked": false, "is_friend": false, "accept_followers": true, "has_subscribed": true, "hide_from_robots": false, "pref_show_snoovatar": false, "icon_img": "https://styles.redditmedia.com/t5_3k30p/styles/profileIcon_uj015iwx9s7g1.png", "snoovatar_img": "", "snoovatar_size": null, "subreddit": { "display_name": "u_spez", "display_name_prefixed": "u/spez", "public_description": "Reddit CEO", "title": "spez", "icon_img": "https://styles.redditmedia.com/t5_3k30p/styles/profileIcon_uj015iwx9s7g1.png", "banner_img": "https://b.thumbs.redditmedia.com/KWeEpVxXOGLoloMbM0IxGt9EiKPXizpwFgcSeWqtpZM.png", "subscribers": 0, "over_18": false, "url": "/user/spez/", "subreddit_type": "user", "accept_followers": true } } ``` ### Speed | Usernames | Time | |-----------|------| | 1 | < 1 second | | 100 | ~3 seconds | | 1,000 | ~20 seconds | | 10,000 | ~3-4 minutes | Built for bulk throughput. Rate limits are handled automatically with proxy rotation and retries. ### Pricing — Pay Per Event (PPE) $1.49 per 1,000 profiles ### FAQ **How fast is it?** 1,000 profiles in about 20 seconds. **Do I need a Reddit account or API key?** No. The actor uses Reddit's public profile endpoint. No login, no API key, no OAuth. **What happens with deleted or suspended accounts?** They're included in the output with `"_status": "not_found"` so you can see exactly which usernames didn't resolve. You're only charged for found profiles. **What input formats are supported?** Plain username (`spez`), prefixed (`u/spez`, `/u/spez`, `@spez`), full URLs (`https://www.reddit.com/user/spez`), and uploaded CSV/TXT files. **Can I scrape more than 1,000 profiles?** Yes. There's no hard limit. The actor scales linearly. 10,000 profiles take about 3-4 minutes. **How is the data structured?** One JSON object per username with all public fields Reddit returns. The `subreddit` field contains nested profile metadata (bio, banner, icon). ### Support - **Bugs**: Issues tab - **Features**: Email or issues - **Email**: max@mapa.slmail.me ### Legal Compliance Extracts publicly available data. Users must comply with Reddit's terms of service and applicable data protection regulations (GDPR, CCPA). *** *Bulk Reddit profile data at scale. No login, no API key, just usernames in, profiles out.* # Actor input Schema ## `username` (type: `string`): A single Reddit username, u/name, or profile URL. ## `usernames` (type: `array`): Add multiple usernames. Use 'Bulk edit' to paste a list. Any format accepted. ## `usernamesFile` (type: `string`): Upload a .txt or .csv file, or paste a URL. TXT: one username per line. CSV: auto-detects 'username' column. ## Actor input object example ```json { "username": "thisisbillgates", "usernames": [] } ``` # Actor output Schema ## `results` (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 = { "username": "thisisbillgates" }; // Run the Actor and wait for it to finish const run = await client.actor("clearpath/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 = { "username": "thisisbillgates" } # Run the Actor and wait for it to finish run = client.actor("clearpath/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 '{ "username": "thisisbillgates" }' | apify call clearpath/reddit-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=clearpath/reddit-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Profile Scraper | Fastest Bulk Username Lookup", "description": "Scrape 1,000+ Reddit profiles in seconds. Get karma breakdown, account age, verification status, premium/mod flags, and all public fields. Accepts usernames, u/name, profile URLs, or CSV uploads. No Reddit login needed.", "version": "0.0", "x-build-id": "Lcq6hMExasbnPzzCe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/clearpath~reddit-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-clearpath-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/clearpath~reddit-profile-scraper/runs": { "post": { "operationId": "runs-sync-clearpath-reddit-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/clearpath~reddit-profile-scraper/run-sync": { "post": { "operationId": "run-sync-clearpath-reddit-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "username": { "title": "Reddit username", "type": "string", "description": "A single Reddit username, u/name, or profile URL." }, "usernames": { "title": "Multiple usernames", "type": "array", "description": "Add multiple usernames. Use 'Bulk edit' to paste a list. Any format accepted.", "items": { "type": "string" }, "default": [] }, "usernamesFile": { "title": "Usernames file", "type": "string", "description": "Upload a .txt or .csv file, or paste a URL. TXT: one username per line. CSV: auto-detects 'username' column." } } }, "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 } } } } } } } } } } ```