# SubReddit Comments Search Scraper (`easyapi/subreddit-comments-search-scraper`) Actor Extract Reddit comments from any subreddit's search results with advanced filtering. Get detailed comment data including timestamps, user info, votes, and more. Perfect for market research, trend analysis and community insights. - **URL**: https://apify.com/easyapi/subreddit-comments-search-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** Social media - **Stats:** 41 total users, 1 monthly users, 89.5% runs succeeded, 2 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $2.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## SubReddit Comments Search Scraper πŸ” Extract comments from Reddit search results with rich metadata and advanced filtering options. ### 🎯 Features - Search and extract comments from any subreddit - Advanced sorting options (relevance, top, new, comments, hot) - Safe search filtering - Configurable maximum items limit - Rich metadata extraction ### πŸ“Š Output Data Structure Each scraped comment includes: - Comment ID and Post ID - Subreddit name - Author name and profile URL - Author avatar URL (when available) - Creation timestamp (ISO format) - Comment content - Vote count - Comment count - Post title and URL - Comment score ### πŸ’‘ Use Cases - Market research and sentiment analysis - Community feedback monitoring - Content discovery - User behavior analysis - Competitive research - Social media monitoring - Academic research - Trend identification ### πŸ”§ Input Parameters | Parameter | Type | Description | |-----------|------|-------------| | query | String | Search keyword or phrase | | subReddit | String | Target subreddit name (without 'r/') | | sort | String | Sort results by: 'relevance', 'top', 'new', 'comments', or 'hot' | | safeSearch | String | Enable/disable safe search ('0' for safe, '1' for unsafe) | | maxItems | Integer | Maximum number of items to scrape | #### Input Example A full explanation of an input example in JSON. ```` { "query": "ai", "subReddit": "AppIdeas", "sort": "relevance", "safeSearch": "0", "maxItems": 45 } ``` #### Output sample The results will be wrapped into a dataset which you can always find in theΒ **Storage**Β tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. ``` \[ { "comment\_id": "t1\_lv2y3tb", "post\_id": "t3\_1gi6v3q", "subreddit": "AppIdeas", "author": "tdaawg", "created\_time": "2024-11-02T21:30:48.658Z", "score": 5, "author\_url": "https://www.reddit.com/user/tdaawg/", "title": "What are you working on right now? Let’s share ideas!", "url": "https://www.reddit.com/r/AppIdeas/comments/1gi6v3q/what\_are\_you\_working\_on\_right\_now\_lets\_share\_ideas/", "comment\_content": "Looks cool.\n \n I’m working on https://appflows.ai - a free tool to help product managers and founders plan their apps.", "votes": 6, "comments": 16 }, { "comment\_id": "t1\_lur9mgq", "post\_id": "t3\_1ggiwgu", "subreddit": "AppIdeas", "author": "coconutappl", "created\_time": "2024-10-31T20:51:35.200Z", "score": 7, "author\_url": "https://www.reddit.com/user/coconutappl/", "title": "What are you building right now? Let’s share!", "url": "https://www.reddit.com/r/AppIdeas/comments/1ggiwgu/what\_are\_you\_building\_right\_now\_lets\_share/", "comment\_content": "not an app but i am just building free web tools on one site. i have ai, music, design, dev tools, games.\n \n justbuildthings.com", "votes": 11, "comments": 84 }, ... ] ```` # Actor input Schema ## `query` (type: `string`): Keyword or phrase to search for ## `subReddit` (type: `string`): Target subreddit name (without 'r/') ## `sort` (type: `string`): How to sort the search results ## `safeSearch` (type: `string`): Enable or disable safe search ## `maxItems` (type: `integer`): Maximum number of items to scrape (default: 100) ## `proxyConfiguration` (type: `object`): Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking. ## Actor input object example ```json { "query": "app", "subReddit": "AppIdeas", "sort": "relevance", "safeSearch": "0", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` # 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 = { "query": "app", "subReddit": "AppIdeas", "sort": "relevance", "safeSearch": "0", "maxItems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("easyapi/subreddit-comments-search-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "query": "app", "subReddit": "AppIdeas", "sort": "relevance", "safeSearch": "0", "maxItems": 100, } # Run the Actor and wait for it to finish run = client.actor("easyapi/subreddit-comments-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "query": "app", "subReddit": "AppIdeas", "sort": "relevance", "safeSearch": "0", "maxItems": 100 }' | apify call easyapi/subreddit-comments-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easyapi/subreddit-comments-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SubReddit Comments Search Scraper", "description": "Extract Reddit comments from any subreddit's search results with advanced filtering. Get detailed comment data including timestamps, user info, votes, and more. Perfect for market research, trend analysis and community insights.", "version": "0.0", "x-build-id": "9a8d9UR8i81pdHtzj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easyapi~subreddit-comments-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easyapi-subreddit-comments-search-scraper", "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/easyapi~subreddit-comments-search-scraper/runs": { "post": { "operationId": "runs-sync-easyapi-subreddit-comments-search-scraper", "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/easyapi~subreddit-comments-search-scraper/run-sync": { "post": { "operationId": "run-sync-easyapi-subreddit-comments-search-scraper", "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": [ "query", "subReddit" ], "properties": { "query": { "title": "Search Query", "type": "string", "description": "Keyword or phrase to search for", "default": "app" }, "subReddit": { "title": "Subreddit", "type": "string", "description": "Target subreddit name (without 'r/')", "default": "AppIdeas" }, "sort": { "title": "Sort By", "enum": [ "relevance", "top", "new", "comments", "hot" ], "type": "string", "description": "How to sort the search results", "default": "relevance" }, "safeSearch": { "title": "Safe Search", "enum": [ "0", "1" ], "type": "string", "description": "Enable or disable safe search", "default": "0" }, "maxItems": { "title": "Maximum Items", "minimum": 1, "type": "integer", "description": "Maximum number of items to scrape (default: 100)", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```