# Reddit Buyer Intent Lead Priority Scorer (`rotvuvo/reddit-buyer-intent-lead-priority-scorer`) Actor Score imported Reddit posts and comments for buyer intent, ICP fit, reply risk, evidence snippets, CRM notes, and safe next actions. Use it after an Apify Reddit scraper, CSV export, social listening tool, or manual research. - **URL**: https://apify.com/rotvuvo/reddit-buyer-intent-lead-priority-scorer.md - **Developed by:** [Wit Nomad](https://apify.com/rotvuvo) (community) - **Categories:** Marketing, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 Buyer Intent Lead Priority Scorer Ingest-first Apify Actor for prioritizing imported Reddit posts and comments. It turns raw Reddit rows into buyer-intent scores, reply-risk flags, evidence snippets, and CRM-ready next actions. ### What it does This Actor helps B2B SaaS founders, growth teams, agencies, and sales teams triage noisy Reddit exports. Feed it rows from existing Apify Reddit scrapers, CSV exports, social listening tools, spreadsheets, or manual research. It returns a ranked dataset that highlights: - recommendation requests and “best tool” threads - competitor complaints and alternative searches - pricing pressure, feature gaps, and implementation-help questions - ICP fit against your product/category/customer profile - reply risk and safe next actions such as `reply_helpfully`, `route_to_crm`, `save_for_research`, or `ignore` ### Input Required: - `items` — array of imported Reddit post/comment rows. Optional: - `targetProfile` — product, ICP, competitor, subreddit, and keyword context. - `maxItems` — maximum rows to process; default `500`. - `processedAt` — deterministic reference timestamp. Common row aliases are supported: - text: `title`, `body`, `selftext`, `text`, `comment`, `content`, `description` - URL: `url`, `permalink`, `postUrl`, `commentUrl`, `sourceUrl` - author: `author`, `username`, `user`, `profileName` - subreddit: `subreddit`, `community`, `source`, `channel` - engagement: `score`, `upvotes`, `numComments`, `commentsCount`, `commentCount` - time: `createdAt`, `createdUtc`, `postedAt`, `publishedAt`, `date` ### Output Each dataset item includes: - `leadId` - `sourceUrl` - `sourceType` - `subreddit` - `author` - `createdAt` - `title` - `textPreview` - `matchedProfile` - `intentScore` - `intentBand` - `intentTypes` - `icpFit` - `urgency` - `replyRisk` - `riskFlags` - `evidenceSnippets` - `recommendedAction` - `crmNote` - `replyAngle` - `processedAt` ### Example use cases - Run an existing Apify Reddit scraper, then score its dataset for B2B buyer intent. - Convert Reddit CSV exports into a prioritized CRM/customer-discovery queue. - Separate high-signal recommendation threads from generic brand mentions. - Preserve evidence snippets and reply-risk context before a human decides whether to engage. ### Limitations This Actor does not scrape Reddit. It does not log in to Reddit, use Reddit APIs, use proxies, or bypass access controls. It does not post to Reddit, post comments, vote, or automate engagement. It does not send DMs. It does not guarantee leads, demos, revenue, reply rates, moderator acceptance, or legal compliance. It does not guarantee legal outcomes. The MVP is deterministic and does not call external AI APIs. Scores are transparent heuristic priorities over the text you supply. ### Recommended workflow 1. Collect public Reddit rows with an existing Apify Reddit scraper or your own CSV/export. 2. Paste or pass those rows in `items`. 3. Add a narrow `targetProfile` with competitors, target subreddits, pain keywords, and solution keywords. 4. Review the output dataset and let a human decide whether and how to reply. ### Safety posture Use the output as prioritization and research support only. Always check subreddit rules and reply like a helpful participant, not a spam bot. The `replyAngle` field is intentionally a cautious direction, not an auto-posted message. # Actor input Schema ## `mode` (type: `string`): Input mode. This version supports imported Reddit post/comment rows only. ## `items` (type: `array`): Rows from existing Apify Reddit scrapers, CSV exports, social listening tools, spreadsheets, or manual research. Common aliases include title/postTitle, body/selftext/text/comment/content/description, url/permalink/postUrl/commentUrl/sourceUrl, subreddit/community/source/channel, author/username/user/profileName, score/upvotes/numComments/commentsCount/commentCount, createdAt/createdUtc/postedAt/publishedAt/date. ## `targetProfile` (type: `object`): Optional product, ICP, competitor, subreddit, and keyword context. Intent scoring uses supplied Reddit title/body/comment text for evidence; source URLs alone do not create high-intent matches. ## `maxItems` (type: `integer`): Maximum imported rows to process. ## `processedAt` (type: `string`): Optional ISO timestamp for deterministic output metadata. This Actor does not scrape; when omitted or invalid, the runtime uses this fixed default reference timestamp. ## Actor input object example ```json { "mode": "items", "items": [ { "title": "Best tool for managing support handoffs in a SaaS startup?", "selftext": "We are a 12 person SaaS team outgrowing shared Gmail. Any recommendations for customer support software with Slack workflow automation?", "subreddit": "SaaS", "author": "founder_anne", "permalink": "/r/SaaS/comments/abc123/best_tool_for_support_handoffs/", "score": 42, "numComments": 18, "createdUtc": 1783497600 }, { "postUrl": "https://www.reddit.com/r/CustomerSuccess/comments/switch1/zendesk_pricing/", "title": "Zendesk pricing is getting brutal for our small support team", "body": "We are frustrated with Zendesk and looking for an alternative to handle approvals and customer handoff workflows before this quarter.", "community": "CustomerSuccess", "username": "opslead", "upvotes": 15, "commentsCount": 9 }, { "title": "Intercom billboard spotted downtown", "text": "Saw an Intercom billboard today. Interesting marketing campaign.", "subreddit": "marketing", "author": "observer" } ], "targetProfile": { "productName": "Acme SupportDesk", "productCategory": "customer support software", "targetCustomers": [ "saas", "startup", "support team", "agency" ], "targetSubreddits": [ "SaaS", "Entrepreneur", "CustomerSuccess" ], "competitors": [ "Zendesk", "Intercom", "Freshdesk" ], "painKeywords": [ "too expensive", "handoff", "approval workflow", "slow support", "migration" ], "solutionKeywords": [ "helpdesk", "support", "crm", "workflow", "automation" ], "negativeKeywords": [ "homework" ], "disallowedSubreddits": [ "jobs" ] }, "maxItems": 500, "processedAt": "2026-07-08T00:00:00.000Z" } ```` # 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 = { "mode": "items", "items": [ { "title": "Best tool for managing support handoffs in a SaaS startup?", "selftext": "We are a 12 person SaaS team outgrowing shared Gmail. Any recommendations for customer support software with Slack workflow automation?", "subreddit": "SaaS", "author": "founder_anne", "permalink": "/r/SaaS/comments/abc123/best_tool_for_support_handoffs/", "score": 42, "numComments": 18, "createdUtc": 1783497600 }, { "postUrl": "https://www.reddit.com/r/CustomerSuccess/comments/switch1/zendesk_pricing/", "title": "Zendesk pricing is getting brutal for our small support team", "body": "We are frustrated with Zendesk and looking for an alternative to handle approvals and customer handoff workflows before this quarter.", "community": "CustomerSuccess", "username": "opslead", "upvotes": 15, "commentsCount": 9 }, { "title": "Intercom billboard spotted downtown", "text": "Saw an Intercom billboard today. Interesting marketing campaign.", "subreddit": "marketing", "author": "observer" } ], "targetProfile": { "productName": "Acme SupportDesk", "productCategory": "customer support software", "targetCustomers": [ "saas", "startup", "support team", "agency" ], "targetSubreddits": [ "SaaS", "Entrepreneur", "CustomerSuccess" ], "competitors": [ "Zendesk", "Intercom", "Freshdesk" ], "painKeywords": [ "too expensive", "handoff", "approval workflow", "slow support", "migration" ], "solutionKeywords": [ "helpdesk", "support", "crm", "workflow", "automation" ], "negativeKeywords": [ "homework" ], "disallowedSubreddits": [ "jobs" ] }, "processedAt": "2026-07-08T00:00:00.000Z" }; // Run the Actor and wait for it to finish const run = await client.actor("rotvuvo/reddit-buyer-intent-lead-priority-scorer").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 = { "mode": "items", "items": [ { "title": "Best tool for managing support handoffs in a SaaS startup?", "selftext": "We are a 12 person SaaS team outgrowing shared Gmail. Any recommendations for customer support software with Slack workflow automation?", "subreddit": "SaaS", "author": "founder_anne", "permalink": "/r/SaaS/comments/abc123/best_tool_for_support_handoffs/", "score": 42, "numComments": 18, "createdUtc": 1783497600, }, { "postUrl": "https://www.reddit.com/r/CustomerSuccess/comments/switch1/zendesk_pricing/", "title": "Zendesk pricing is getting brutal for our small support team", "body": "We are frustrated with Zendesk and looking for an alternative to handle approvals and customer handoff workflows before this quarter.", "community": "CustomerSuccess", "username": "opslead", "upvotes": 15, "commentsCount": 9, }, { "title": "Intercom billboard spotted downtown", "text": "Saw an Intercom billboard today. Interesting marketing campaign.", "subreddit": "marketing", "author": "observer", }, ], "targetProfile": { "productName": "Acme SupportDesk", "productCategory": "customer support software", "targetCustomers": [ "saas", "startup", "support team", "agency", ], "targetSubreddits": [ "SaaS", "Entrepreneur", "CustomerSuccess", ], "competitors": [ "Zendesk", "Intercom", "Freshdesk", ], "painKeywords": [ "too expensive", "handoff", "approval workflow", "slow support", "migration", ], "solutionKeywords": [ "helpdesk", "support", "crm", "workflow", "automation", ], "negativeKeywords": ["homework"], "disallowedSubreddits": ["jobs"], }, "processedAt": "2026-07-08T00:00:00.000Z", } # Run the Actor and wait for it to finish run = client.actor("rotvuvo/reddit-buyer-intent-lead-priority-scorer").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 '{ "mode": "items", "items": [ { "title": "Best tool for managing support handoffs in a SaaS startup?", "selftext": "We are a 12 person SaaS team outgrowing shared Gmail. Any recommendations for customer support software with Slack workflow automation?", "subreddit": "SaaS", "author": "founder_anne", "permalink": "/r/SaaS/comments/abc123/best_tool_for_support_handoffs/", "score": 42, "numComments": 18, "createdUtc": 1783497600 }, { "postUrl": "https://www.reddit.com/r/CustomerSuccess/comments/switch1/zendesk_pricing/", "title": "Zendesk pricing is getting brutal for our small support team", "body": "We are frustrated with Zendesk and looking for an alternative to handle approvals and customer handoff workflows before this quarter.", "community": "CustomerSuccess", "username": "opslead", "upvotes": 15, "commentsCount": 9 }, { "title": "Intercom billboard spotted downtown", "text": "Saw an Intercom billboard today. Interesting marketing campaign.", "subreddit": "marketing", "author": "observer" } ], "targetProfile": { "productName": "Acme SupportDesk", "productCategory": "customer support software", "targetCustomers": [ "saas", "startup", "support team", "agency" ], "targetSubreddits": [ "SaaS", "Entrepreneur", "CustomerSuccess" ], "competitors": [ "Zendesk", "Intercom", "Freshdesk" ], "painKeywords": [ "too expensive", "handoff", "approval workflow", "slow support", "migration" ], "solutionKeywords": [ "helpdesk", "support", "crm", "workflow", "automation" ], "negativeKeywords": [ "homework" ], "disallowedSubreddits": [ "jobs" ] }, "processedAt": "2026-07-08T00:00:00.000Z" }' | apify call rotvuvo/reddit-buyer-intent-lead-priority-scorer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rotvuvo/reddit-buyer-intent-lead-priority-scorer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Buyer Intent Lead Priority Scorer", "description": "Score imported Reddit posts and comments for buyer intent, ICP fit, reply risk, evidence snippets, CRM notes, and safe next actions. Use it after an Apify Reddit scraper, CSV export, social listening tool, or manual research.", "version": "0.1", "x-build-id": "IS2NFPKplsjHhC1qN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rotvuvo~reddit-buyer-intent-lead-priority-scorer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rotvuvo-reddit-buyer-intent-lead-priority-scorer", "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/rotvuvo~reddit-buyer-intent-lead-priority-scorer/runs": { "post": { "operationId": "runs-sync-rotvuvo-reddit-buyer-intent-lead-priority-scorer", "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/rotvuvo~reddit-buyer-intent-lead-priority-scorer/run-sync": { "post": { "operationId": "run-sync-rotvuvo-reddit-buyer-intent-lead-priority-scorer", "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": [ "items" ], "properties": { "mode": { "title": "Mode", "enum": [ "items" ], "type": "string", "description": "Input mode. This version supports imported Reddit post/comment rows only.", "default": "items" }, "items": { "title": "Imported Reddit rows", "minItems": 1, "type": "array", "description": "Rows from existing Apify Reddit scrapers, CSV exports, social listening tools, spreadsheets, or manual research. Common aliases include title/postTitle, body/selftext/text/comment/content/description, url/permalink/postUrl/commentUrl/sourceUrl, subreddit/community/source/channel, author/username/user/profileName, score/upvotes/numComments/commentsCount/commentCount, createdAt/createdUtc/postedAt/publishedAt/date.", "items": { "type": "object" } }, "targetProfile": { "title": "Target profile", "type": "object", "description": "Optional product, ICP, competitor, subreddit, and keyword context. Intent scoring uses supplied Reddit title/body/comment text for evidence; source URLs alone do not create high-intent matches." }, "maxItems": { "title": "Maximum rows", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum imported rows to process.", "default": 500 }, "processedAt": { "title": "Reference timestamp", "type": "string", "description": "Optional ISO timestamp for deterministic output metadata. This Actor does not scrape; when omitted or invalid, the runtime uses this fixed default reference timestamp.", "default": "2026-07-08T00:00:00.000Z" } } }, "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 } } } } } } } } } } ```