# Reddit Buyer Intent Firehose (`happyfhantum/reddit-buyer-intent-firehose`) Actor Find Reddit posts and comments where people are actively looking for software, alternatives, services, or better ways to solve a problem. - **URL**: https://apify.com/happyfhantum/reddit-buyer-intent-firehose.md - **Developed by:** [Kelsey Todd](https://apify.com/happyfhantum) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing $0.01 / reddit query processed 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 Buyer Intent Firehose Find Reddit posts and comments where people are actively looking for software, alternatives, services, or better ways to solve a problem. ### What it does - Searches Reddit sitewide or inside selected subreddits. - Finds posts where people are asking what to buy, what to switch to, or what tool they should use. - Tags intent types like alternative search, tool search, switching intent, service search, and workflow pain. - Extracts the matched buyer-language snippet that triggered the row. - Returns flat output that is easy to export into CSV, Sheets, Airtable, or lead research workflows. - Uses Apify Proxy by default for cloud runs where Reddit blocks plain datacenter IPs. ### Best fit - founders looking for live demand - agencies hunting public leads - sales teams looking for replacement intent - product marketers tracking switching language # Actor input Schema ## `queries` (type: `array`): Search phrases to look for in Reddit posts. ## `subreddits` (type: `array`): Optional subreddit names like SaaS or smallbusiness. Leave empty for sitewide search. ## `maxResultsPerQuery` (type: `integer`): Maximum number of Reddit posts to return for each query or subreddit-query pair. ## `includeComments` (type: `boolean`): Fetch the first useful comment for extra buying-intent context. ## `sort` (type: `string`): Reddit search sort mode. ## `timeRange` (type: `string`): Reddit time window for the search. ## `onlyHighIntent` (type: `boolean`): Keep only rows that clearly show buying, switching, or replacement intent. ## `minUpvotes` (type: `integer`): Minimum Reddit score a post must have to be returned. ## `requestTimeoutSecs` (type: `integer`): Maximum time to wait for a Reddit request before skipping it. ## `useApifyProxy` (type: `boolean`): Route Reddit requests through Apify Proxy. Recommended for cloud runs where Reddit blocks datacenter IPs. ## Actor input object example ```json { "queries": [ "alternative to", "need a tool for" ], "subreddits": [ "SaaS", "smallbusiness" ], "maxResultsPerQuery": 15, "includeComments": false, "sort": "new", "timeRange": "month", "onlyHighIntent": true, "minUpvotes": 0, "requestTimeoutSecs": 30, "useApifyProxy": true } ```` # 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 = { "queries": [ "alternative to", "need a tool for" ], "subreddits": [ "SaaS", "smallbusiness" ] }; // Run the Actor and wait for it to finish const run = await client.actor("happyfhantum/reddit-buyer-intent-firehose").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 = { "queries": [ "alternative to", "need a tool for", ], "subreddits": [ "SaaS", "smallbusiness", ], } # Run the Actor and wait for it to finish run = client.actor("happyfhantum/reddit-buyer-intent-firehose").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 '{ "queries": [ "alternative to", "need a tool for" ], "subreddits": [ "SaaS", "smallbusiness" ] }' | apify call happyfhantum/reddit-buyer-intent-firehose --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=happyfhantum/reddit-buyer-intent-firehose", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Buyer Intent Firehose", "description": "Find Reddit posts and comments where people are actively looking for software, alternatives, services, or better ways to solve a problem.", "version": "0.1", "x-build-id": "e6Qy2S66HdjcdQzqx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/happyfhantum~reddit-buyer-intent-firehose/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-happyfhantum-reddit-buyer-intent-firehose", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/happyfhantum~reddit-buyer-intent-firehose/runs": { "post": { "operationId": "runs-sync-happyfhantum-reddit-buyer-intent-firehose", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/happyfhantum~reddit-buyer-intent-firehose/run-sync": { "post": { "operationId": "run-sync-happyfhantum-reddit-buyer-intent-firehose", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "queries": { "title": "Queries", "type": "array", "description": "Search phrases to look for in Reddit posts.", "items": { "type": "string" } }, "subreddits": { "title": "Subreddits", "type": "array", "description": "Optional subreddit names like SaaS or smallbusiness. Leave empty for sitewide search.", "items": { "type": "string" } }, "maxResultsPerQuery": { "title": "Max results per query", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of Reddit posts to return for each query or subreddit-query pair.", "default": 15 }, "includeComments": { "title": "Include top comment", "type": "boolean", "description": "Fetch the first useful comment for extra buying-intent context.", "default": false }, "sort": { "title": "Sort", "enum": [ "new", "relevance", "top" ], "type": "string", "description": "Reddit search sort mode.", "default": "new" }, "timeRange": { "title": "Time range", "enum": [ "month", "year", "all", "week", "day" ], "type": "string", "description": "Reddit time window for the search.", "default": "month" }, "onlyHighIntent": { "title": "Only high intent", "type": "boolean", "description": "Keep only rows that clearly show buying, switching, or replacement intent.", "default": true }, "minUpvotes": { "title": "Minimum upvotes", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Minimum Reddit score a post must have to be returned.", "default": 0 }, "requestTimeoutSecs": { "title": "Request timeout (seconds)", "minimum": 5, "maximum": 60, "type": "integer", "description": "Maximum time to wait for a Reddit request before skipping it.", "default": 30 }, "useApifyProxy": { "title": "Use Apify Proxy", "type": "boolean", "description": "Route Reddit requests through Apify Proxy. Recommended for cloud runs where Reddit blocks datacenter IPs.", "default": true } } }, "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 } } } } } } } } } } ```