# Reddit Lead AI Finder (`reverend_bluebell/reddit-lead-ai-finder`) Actor Search any subreddit by keywords and score each post as a lead signal using Claude AI — find buying intent, pain points, and outreach angles automatically. - **URL**: https://apify.com/reverend\_bluebell/reddit-lead-ai-finder.md - **Developed by:** [Mozi Mohidien](https://apify.com/reverend_bluebell) (community) - **Categories:** Marketing, Social media - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Lead AI Finder Monitor any subreddit for buying signals using Claude AI. Give it a subreddit and keywords — it returns scored, enriched leads with pain points, intent classification, and outreach angles. Built for sales teams, founders doing outbound, and growth marketers who want to find prospects before competitors do. ### What it does 1. Searches Reddit via the official OAuth2 API for posts matching your keywords 2. Fetches full post content and top comments 3. Sends each post to Claude Haiku for lead scoring 4. Returns structured data ready for your CRM or outreach workflow ### Prerequisites You need a free Reddit API app (script type) to use this actor. **Create one in 60 seconds:** 1. Go to reddit.com/prefs/apps 2. Click "create another app" 3. Choose "script" type 4. Fill in name and redirect URI (use http://localhost) 5. Copy the client ID (under the app name) and client secret ### Example use cases - SaaS tool monitoring r/entrepreneur for "looking for project management tool" - Agency monitoring r/smallbusiness for "need help with marketing" - Software vendor watching r/startups for "recommend a CRM" ### Input ```json { "subreddit": "entrepreneur", "keywords": ["recommend tool", "looking for software", "any suggestions"], "anthropicApiKey": "sk-ant-...", "redditClientId": "your-reddit-client-id", "redditClientSecret": "your-reddit-client-secret", "maxPosts": 10, "sortBy": "relevance" } ```` | Field | Type | Required | Default | Notes | |-------|------|----------|---------|-------| | subreddit | string | yes | — | Without r/ prefix | | keywords | string\[] | yes | — | Combined with OR in search | | anthropicApiKey | string | yes | — | Your Anthropic API key | | redditClientId | string | yes | — | From reddit.com/prefs/apps | | redditClientSecret | string | yes | — | From reddit.com/prefs/apps | | maxPosts | integer | no | 10 | Max 50 | | sortBy | string | no | relevance | new / hot / top / relevance | ### Output | Field | Description | |-------|-------------| | postId | Reddit post ID | | subreddit | Subreddit name | | title | Post title | | url | Full Reddit URL | | author | Username | | score | Upvotes | | numComments | Comment count | | created | ISO timestamp | | selftext | Post body (first 800 chars) | | topComment | First top-level comment (first 300 chars) | | enrichment.leadScore | 1-10 (10 = strong buying intent) | | enrichment.intent | Awareness / Consideration / Decision / Complaint / Question / Other | | enrichment.painPoint | One sentence: what problem they're expressing | | enrichment.suggestedProduct | Category of product/service that would solve it | | enrichment.outreachApproach | How a vendor should engage | | enrichment.urgency | Low / Medium / High | | enrichment.budgetSignal | Budget clues mentioned (null if none) | | enrichment.decisionMaker | Buyer / User / Unknown | ### Notes - Uses Reddit's official OAuth2 API — reliable, no rate limit surprises - Reddit API is free for read-only use under their terms - Requires an Anthropic API key (Claude Haiku, cost ~$0.001 per post) # Actor input Schema ## `subreddit` (type: `string`): Subreddit name without r/ prefix (e.g. entrepreneur) ## `keywords` (type: `array`): Search terms to find relevant posts ## `anthropicApiKey` (type: `string`): Your Anthropic API key for Claude AI enrichment ## `maxPosts` (type: `integer`): Maximum number of posts to process (max 50) ## `sortBy` (type: `string`): How to sort Reddit search results ## Actor input object example ```json { "maxPosts": 10, "sortBy": "relevance" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("reverend_bluebell/reddit-lead-ai-finder").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("reverend_bluebell/reddit-lead-ai-finder").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 reverend_bluebell/reddit-lead-ai-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=reverend_bluebell/reddit-lead-ai-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Lead AI Finder", "description": "Search any subreddit by keywords and score each post as a lead signal using Claude AI — find buying intent, pain points, and outreach angles automatically.", "version": "0.1", "x-build-id": "aDSXDKXrZZfLSqy6m" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/reverend_bluebell~reddit-lead-ai-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-reverend_bluebell-reddit-lead-ai-finder", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/reverend_bluebell~reddit-lead-ai-finder/runs": { "post": { "operationId": "runs-sync-reverend_bluebell-reddit-lead-ai-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/reverend_bluebell~reddit-lead-ai-finder/run-sync": { "post": { "operationId": "run-sync-reverend_bluebell-reddit-lead-ai-finder", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "subreddit", "keywords", "anthropicApiKey" ], "properties": { "subreddit": { "title": "Subreddit", "type": "string", "description": "Subreddit name without r/ prefix (e.g. entrepreneur)" }, "keywords": { "title": "Keywords", "type": "array", "description": "Search terms to find relevant posts", "items": { "type": "string" } }, "anthropicApiKey": { "title": "Anthropic API Key", "type": "string", "description": "Your Anthropic API key for Claude AI enrichment" }, "maxPosts": { "title": "Max Posts", "maximum": 50, "type": "integer", "description": "Maximum number of posts to process (max 50)", "default": 10 }, "sortBy": { "title": "Sort By", "enum": [ "new", "hot", "top", "relevance" ], "type": "string", "description": "How to sort Reddit search results", "default": "relevance" } } }, "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 } } } } } } } } } } ```