# Reddit Community Lead Extractor (`avinashchby/reddit-community-leads`) Actor Scrape Reddit subreddits to find active community members, extract profile data, and discover contact info from user bios. Perfect for community-driven lead generation and niche market research. - **URL**: https://apify.com/avinashchby/reddit-community-leads.md - **Developed by:** [Avinash](https://apify.com/avinashchby) (community) - **Categories:** Lead generation, Social media, Marketing - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Community Lead Extractor An Apify actor that scrapes Reddit communities (subreddits) and active poster profiles to find leads for sales, marketing, and community-driven outreach. ### Features - Scrape any public subreddit to discover active community members - Extract user profiles including karma, account age, bio, and active subreddits - Discover contact info (emails, phone numbers, websites) from user bios - Compute an activity score (0–100) to prioritize high-value leads - Export in JSON, CSV, HubSpot, Apollo, or Salesforce formats ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `subredditUrls` | string[] | `https://www.reddit.com/r/smallbusiness/`, `https://www.reddit.com/r/marketing/` | Subreddits to scrape | | `maxUsers` | integer | 20 | Max unique user profiles to extract (max 500) | | `minKarma` | integer | 100 | Minimum total karma threshold | | `includeBioContacts` | boolean | true | Extract emails/phones/websites from bios | | `outputFormat` | enum | json | Output format: json, csv, hubspot, apollo, salesforce | ### Output Each lead record contains: | Field | Type | Description | |-------|------|-------------| | `username` | string | Reddit username | | `karma` | integer | Total karma | | `commentKarma` | integer | Comment karma | | `postKarma` | integer | Post karma | | `accountAge` | string | Account age (e.g., "3yr") | | `bio` | string | User bio/description | | `emails` | string[] | Emails found in bio | | `phones` | string[] | Phone numbers found in bio | | `website` | string | Website found in bio | | `subreddits` | string[] | Subreddits the user is active in | | `activityScore` | integer | Lead score 0–100 | | `profileUrl` | string | Reddit profile URL | | `scrapedAt` | string | ISO timestamp | ### Activity Score Formula - **Karma**: 100K+ = 40 pts, 10K+ = 30 pts, 1K+ = 20 pts, 100+ = 10 pts - **Account Age**: 5yr+ = 20 pts, 1yr+ = 10 pts - **Has Website**: +20 pts - **Has Email**: +20 pts ### Usage ```bash ## Local build npm install npm run build npm start ```` ### Anti-bot Measures The actor uses Playwright with stealth launch arguments to reduce detection: - `--disable-blink-features=AutomationControlled` - Realistic viewport and user-agent - Network idle waits with jitter delays ### Events The actor emits `reddit-lead-extracted` events for each profile successfully scraped, enabling real-time integrations. ### Categories - LEAD\_GENERATION - SOCIAL\_MEDIA - MARKETING # Actor input Schema ## `subredditUrls` (type: `array`): List of subreddit URLs to scrape for active posters ## `maxUsers` (type: `integer`): Maximum number of unique user profiles to extract ## `minKarma` (type: `integer`): Minimum total karma threshold for a user to be included ## `includeBioContacts` (type: `boolean`): Extract emails, phones, and websites from user bios ## `outputFormat` (type: `string`): Format for the output data ## Actor input object example ```json { "subredditUrls": [ "https://www.reddit.com/r/smallbusiness/", "https://www.reddit.com/r/marketing/" ], "maxUsers": 20, "minKarma": 100, "includeBioContacts": true, "outputFormat": "json" } ``` # Actor output Schema ## `results` (type: `string`): All extracted leads. # 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 = { "subredditUrls": [ "https://www.reddit.com/r/smallbusiness/", "https://www.reddit.com/r/marketing/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("avinashchby/reddit-community-leads").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 = { "subredditUrls": [ "https://www.reddit.com/r/smallbusiness/", "https://www.reddit.com/r/marketing/", ] } # Run the Actor and wait for it to finish run = client.actor("avinashchby/reddit-community-leads").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 '{ "subredditUrls": [ "https://www.reddit.com/r/smallbusiness/", "https://www.reddit.com/r/marketing/" ] }' | apify call avinashchby/reddit-community-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=avinashchby/reddit-community-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Community Lead Extractor", "description": "Scrape Reddit subreddits to find active community members, extract profile data, and discover contact info from user bios. Perfect for community-driven lead generation and niche market research.", "version": "1.0", "x-build-id": "LQYGJoNG7V25ejDEB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/avinashchby~reddit-community-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-avinashchby-reddit-community-leads", "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/avinashchby~reddit-community-leads/runs": { "post": { "operationId": "runs-sync-avinashchby-reddit-community-leads", "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/avinashchby~reddit-community-leads/run-sync": { "post": { "operationId": "run-sync-avinashchby-reddit-community-leads", "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": [ "subredditUrls" ], "properties": { "subredditUrls": { "title": "Subreddit URLs", "type": "array", "description": "List of subreddit URLs to scrape for active posters", "items": { "type": "string" } }, "maxUsers": { "title": "Max Users", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of unique user profiles to extract", "default": 20 }, "minKarma": { "title": "Min Karma", "minimum": 0, "type": "integer", "description": "Minimum total karma threshold for a user to be included", "default": 100 }, "includeBioContacts": { "title": "Include Bio Contacts", "type": "boolean", "description": "Extract emails, phones, and websites from user bios", "default": true }, "outputFormat": { "title": "Output Format", "enum": [ "json", "csv", "hubspot", "apollo", "salesforce" ], "type": "string", "description": "Format for the output data", "default": "json" } } }, "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 } } } } } } } } } } ```