# Reddit Search — Find Posts Across All Subreddits (`maged120/reddit-search`) Actor Scrape Reddit search results for any query. Get posts, scores, subreddits, authors, and timestamps without logging in. Supports all Reddit search filters. - **URL**: https://apify.com/maged120/reddit-search.md - **Developed by:** [Maged](https://apify.com/maged120) (community) - **Categories:** Automation, Social media - **Stats:** 18 total users, 2 monthly users, 91.2% runs succeeded, 1 bookmarks - **User rating**: 2.00 out of 5 stars ## Pricing from $9.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ### What does Reddit Search Scraper do? **Reddit Search Scraper** extracts posts from Reddit's search results for any keyword or phrase. Search across all of Reddit or within a specific subreddit and get back post titles, scores, comment counts, authors, timestamps, and URLs — all without a Reddit API key. This Actor runs on the [Apify platform](https://apify.com), making it easy to monitor brand mentions, track trending topics, or build research datasets on autopilot. ### Why use Reddit Search Scraper? - **No Reddit API key required** — bypass OAuth and rate limits - **Search all of Reddit or a specific subreddit** — flexible scope - **Sort options** — relevance, new, hot, top, comments - **Batch queries** — run multiple searches in one Actor run - **Brand monitoring** — track mentions of your product, competitor, or topic ### How to use Reddit Search Scraper 1. Open the Actor and click **Try for free** 2. Enter one or more search queries in the `queries` field 3. Optionally filter by subreddit and sort order 4. Click **Start** — results appear in the Output tab 5. Download as JSON, CSV, or Excel ### Input ```json { "queries": ["python async tutorial", "best SaaS tools 2024"], "subreddit": "", "sort": "relevance", "maxResults": 50 } ```` | Field | Type | Description | Default | |---|---|---|---| | `queries` | array | Search terms or phrases | required | | `subreddit` | string | Limit to a specific subreddit (optional) | `""` (all) | | `sort` | string | `relevance`, `new`, `hot`, `top`, `comments` | `relevance` | | `maxResults` | integer | Max results per query | `50` | ### Output Results are stored in the Apify dataset. Download in JSON, CSV, HTML, or Excel. ```json { "query": "python async tutorial", "title": "A comprehensive guide to Python async/await", "url": "https://www.reddit.com/r/Python/comments/example/", "subreddit": "Python", "author": "u/asyncmaster", "score": 892, "numComments": 64, "created": "2024-02-20T09:15:00Z", "flair": "Tutorial", "thumbnail": "https://..." } ``` ### Output fields | Field | Type | Description | |---|---|---| | `query` | string | The search keyword | | `title` | string | Post title | | `url` | string | Full Reddit post URL | | `subreddit` | string | Subreddit name | | `author` | string | Post author username | | `score` | number | Net upvote score | | `numComments` | number | Comment count | | `created` | string | Post creation timestamp | | `flair` | string | Post flair label | ### Cost Pay-per-result pricing: | Volume | Estimated cost | |---|---| | 500 results | ~$0.05–$0.25 | | 5,000 results | ~$0.50–$2.50 | | 50,000 results | ~$5–$25 | ### Tips - Use `sort: "new"` for near-real-time monitoring of fresh mentions - Combine with **Reddit Posts & Comments Scraper** to pull full threads for the most relevant results - Schedule runs daily or hourly via the Apify scheduler for continuous brand monitoring - Filter results in the dataset by `score` to surface only high-quality posts ### FAQ **Does this require a Reddit account?** No — the Actor uses Reddit's public search interface. **Can I search within a specific subreddit?** Yes — set the `subreddit` field to any subreddit name (without `r/`). **How current are the results?** Results reflect Reddit's search index, which is typically updated within minutes of a post being created. **Is this Actor maintained?** Yes. Report bugs or feature requests in the Issues tab. **Need help or have questions?** Open an issue in the Issues tab or reach out on Discord: **maged03211** # Actor input Schema ## `query` (type: `string`): Search query to use (e.g., 'frontend'). ## `type` (type: `string`): Type of search to perform (subreddit, user, or general). ## `restrict_sr` (type: `string`): No description ## `include_over_18` (type: `string`): No description ## `result_type` (type: `string`): result type ## `time` (type: `string`): Time to search (e.g., 'year', 'month', 'week', 'day', or 'hour'). Only required if type is 'subreddit' or 'user'. ## `sort` (type: `string`): Time to search (e.g., 'year', 'month', 'week', 'day', or 'hour'). Only required if type is 'subreddit' or 'user'. ## `subreddit_or_username` (type: `string`): Subreddit or username to search (e.g., 'apify'). Only required if type is 'subreddit' or 'user'. ## `proxy_configuration` (type: `object`): Configure the proxy settings for this Actor run. You can use Apify Proxy or your own custom proxies. ## `limit` (type: `integer`): Maximum number of posts to retrieve (default: 25). ## Actor input object example ```json { "query": "Apify", "type": "general", "restrict_sr": "on", "include_over_18": "off", "result_type": "link", "time": "all", "sort": "relevance", "proxy_configuration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" }, "limit": 10 } ``` # 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 = { "limit": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("maged120/reddit-search").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 = { "limit": 10 } # Run the Actor and wait for it to finish run = client.actor("maged120/reddit-search").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 '{ "limit": 10 }' | apify call maged120/reddit-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=maged120/reddit-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Search — Find Posts Across All Subreddits", "description": "Scrape Reddit search results for any query. Get posts, scores, subreddits, authors, and timestamps without logging in. Supports all Reddit search filters.", "version": "0.0", "x-build-id": "sQiEXwXy0GB3iQHq7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/maged120~reddit-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-maged120-reddit-search", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/maged120~reddit-search/runs": { "post": { "operationId": "runs-sync-maged120-reddit-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/maged120~reddit-search/run-sync": { "post": { "operationId": "run-sync-maged120-reddit-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "proxy_configuration" ], "properties": { "query": { "title": "Query", "type": "string", "description": "Search query to use (e.g., 'frontend').", "default": "Apify" }, "type": { "title": "Search Type", "enum": [ "subreddit", "user", "general" ], "type": "string", "description": "Type of search to perform (subreddit, user, or general).", "default": "general" }, "restrict_sr": { "title": "Restrict", "enum": [ "on", "auto", "off" ], "type": "string", "description": "", "default": "on" }, "include_over_18": { "title": "Include Over 18", "enum": [ "on", "off" ], "type": "string", "description": "", "default": "off" }, "result_type": { "title": "Result Type", "enum": [ "link", "posts", "comments", "media" ], "type": "string", "description": "result type", "default": "link" }, "time": { "title": "Time", "enum": [ "all", "year", "month", "week", "day", "hour" ], "type": "string", "description": "Time to search (e.g., 'year', 'month', 'week', 'day', or 'hour'). Only required if type is 'subreddit' or 'user'.", "default": "all" }, "sort": { "title": "Sort", "enum": [ "relevance", "hot", "top", "new", "comments" ], "type": "string", "description": "Time to search (e.g., 'year', 'month', 'week', 'day', or 'hour'). Only required if type is 'subreddit' or 'user'.", "default": "relevance" }, "subreddit_or_username": { "title": "Subreddit or Username", "type": "string", "description": "Subreddit or username to search (e.g., 'apify'). Only required if type is 'subreddit' or 'user'." }, "proxy_configuration": { "title": "Proxy configuration", "type": "object", "description": "Configure the proxy settings for this Actor run. You can use Apify Proxy or your own custom proxies.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }, "limit": { "title": "Post Limit", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of posts to retrieve (default: 25).", "default": 10 } } }, "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 } } } } } } } } } } ```