# Reddit Pain Point Monitor (`runtime/reddit-pain-point-monitor`) Actor Turn Reddit posts and comments into prioritized pain point, buying-intent, competitor, and lead opportunity records for sales and product teams. - **URL**: https://apify.com/runtime/reddit-pain-point-monitor.md - **Developed by:** [scraping automation](https://apify.com/runtime) (community) - **Categories:** Lead generation, Social media, Business - **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 Pain Point Monitor Turn Reddit discussions into scored pain point, buying intent, competitor, and lead opportunity records. ### Who this is for - B2B founders - Product marketers - Sales teams - Market researchers ### What it helps you do - Find pain points in Reddit posts and comments - Detect buying intent and competitor mentions - Prioritize opportunities with evidence ### Inputs you can use - Reddit items or manual text - Pain and intent keywords - Competitors - Minimum score ### Data you get - opportunity - score - pain keywords - intent keywords - competitor - permalink - evidence ### How to get better results - Start with a narrow, specific query or a small list of source URLs. - Use realistic limits for the first run, then increase the volume once the output looks right. - Keep source URLs, dates, and location context when you need repeatable market monitoring. - Review a few sample records before connecting the dataset to a larger workflow. ### Notes - Results depend on what the public source exposes at run time. - Some pages may hide, delay, rename, or remove fields, so individual records can have partial data. - Use the built-in output table to inspect results before exporting to spreadsheets, dashboards, or automation tools. ### Support If a run returns unexpected data, open an issue from the Actor page with the input used, the run ID, and the result you expected. # Actor input Schema ## `redditItems` (type: `array`): Reddit post or comment records, for example items exported by Reddit Scraper lightExtract or full extraction. ## `manualItems` (type: `array`): Alias for redditItems, useful for bundles and examples. ## `painKeywords` (type: `array`): Words or phrases that indicate frustration, blocked workflows, bugs, expensive tools, missing features, or alternatives. ## `buyingIntentKeywords` (type: `array`): Words or phrases that indicate search for a tool, vendor, product, replacement, or recommendation. ## `competitorKeywords` (type: `array`): Optional competitor, product, brand, or category keywords to detect. ## `mustIncludeKeywords` (type: `array`): Optional keywords required for an item to be saved. ## `excludeKeywords` (type: `array`): Optional keywords that exclude an item from the dataset. ## `maxItems` (type: `integer`): Maximum number of Reddit items to analyze. ## `minOpportunityScore` (type: `integer`): Only save records whose opportunity score is at or above this value. ## `failOnNoResults` (type: `boolean`): Fail the run when no Reddit pain point records are saved. ## Actor input object example ```json { "redditItems": [ { "permalink": "https://www.reddit.com/r/SaaS/comments/example/crm_sync_is_painful/", "headline": "CRM sync is painful for our sales team", "textBody": "We keep losing leads because our CRM and email tools do not sync. Looking for an alternative that is less expensive.", "communityTag": "r/SaaS", "voteScore": 42, "commentTotal": 18 } ], "manualItems": [], "painKeywords": [ "pain", "problem", "issue", "bug", "broken", "blocked", "expensive", "alternative", "looking for" ], "buyingIntentKeywords": [ "looking for", "recommend", "alternative", "switching", "tool", "software", "vendor", "solution" ], "competitorKeywords": [], "mustIncludeKeywords": [], "excludeKeywords": [], "maxItems": 500, "minOpportunityScore": 30, "failOnNoResults": false } ```` # Actor output Schema ## `opportunities` (type: `string`): No description ## `evidence` (type: `string`): No description ## `segments` (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 = { "redditItems": [ { "permalink": "https://www.reddit.com/r/SaaS/comments/example/crm_sync_is_painful/", "headline": "CRM sync is painful for our sales team", "textBody": "We keep losing leads because our CRM and email tools do not sync. Looking for an alternative that is less expensive.", "communityTag": "r/SaaS", "voteScore": 42, "commentTotal": 18 } ], "manualItems": [] }; // Run the Actor and wait for it to finish const run = await client.actor("runtime/reddit-pain-point-monitor").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 = { "redditItems": [{ "permalink": "https://www.reddit.com/r/SaaS/comments/example/crm_sync_is_painful/", "headline": "CRM sync is painful for our sales team", "textBody": "We keep losing leads because our CRM and email tools do not sync. Looking for an alternative that is less expensive.", "communityTag": "r/SaaS", "voteScore": 42, "commentTotal": 18, }], "manualItems": [], } # Run the Actor and wait for it to finish run = client.actor("runtime/reddit-pain-point-monitor").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 '{ "redditItems": [ { "permalink": "https://www.reddit.com/r/SaaS/comments/example/crm_sync_is_painful/", "headline": "CRM sync is painful for our sales team", "textBody": "We keep losing leads because our CRM and email tools do not sync. Looking for an alternative that is less expensive.", "communityTag": "r/SaaS", "voteScore": 42, "commentTotal": 18 } ], "manualItems": [] }' | apify call runtime/reddit-pain-point-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=runtime/reddit-pain-point-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Pain Point Monitor", "description": "Turn Reddit posts and comments into prioritized pain point, buying-intent, competitor, and lead opportunity records for sales and product teams.", "version": "0.1", "x-build-id": "KYofZjL0yazs1BijX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/runtime~reddit-pain-point-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-runtime-reddit-pain-point-monitor", "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/runtime~reddit-pain-point-monitor/runs": { "post": { "operationId": "runs-sync-runtime-reddit-pain-point-monitor", "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/runtime~reddit-pain-point-monitor/run-sync": { "post": { "operationId": "run-sync-runtime-reddit-pain-point-monitor", "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": { "redditItems": { "title": "Reddit items", "type": "array", "description": "Reddit post or comment records, for example items exported by Reddit Scraper lightExtract or full extraction." }, "manualItems": { "title": "Manual items", "type": "array", "description": "Alias for redditItems, useful for bundles and examples." }, "painKeywords": { "title": "Pain keywords", "type": "array", "description": "Words or phrases that indicate frustration, blocked workflows, bugs, expensive tools, missing features, or alternatives.", "default": [ "pain", "problem", "issue", "bug", "broken", "blocked", "expensive", "alternative", "looking for" ], "items": { "type": "string" } }, "buyingIntentKeywords": { "title": "Buying intent keywords", "type": "array", "description": "Words or phrases that indicate search for a tool, vendor, product, replacement, or recommendation.", "default": [ "looking for", "recommend", "alternative", "switching", "tool", "software", "vendor", "solution" ], "items": { "type": "string" } }, "competitorKeywords": { "title": "Competitor keywords", "type": "array", "description": "Optional competitor, product, brand, or category keywords to detect.", "default": [], "items": { "type": "string" } }, "mustIncludeKeywords": { "title": "Must include keywords", "type": "array", "description": "Optional keywords required for an item to be saved.", "default": [], "items": { "type": "string" } }, "excludeKeywords": { "title": "Exclude keywords", "type": "array", "description": "Optional keywords that exclude an item from the dataset.", "default": [], "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of Reddit items to analyze.", "default": 500 }, "minOpportunityScore": { "title": "Minimum opportunity score", "minimum": 0, "maximum": 100, "type": "integer", "description": "Only save records whose opportunity score is at or above this value.", "default": 30 }, "failOnNoResults": { "title": "Fail if no opportunities are saved", "type": "boolean", "description": "Fail the run when no Reddit pain point records are saved.", "default": false } } }, "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 } } } } } } } } } } ```