# Reddit Scraper β€” Posts & Comments by Subreddit or Search (`hichemdev/reddit-scraper`) Actor Scrape Reddit posts and comments from any subreddit or search query: title, author, score, upvote ratio, text, and metadata. No login or API key. - **URL**: https://apify.com/hichemdev/reddit-scraper.md - **Developed by:** [Hichem Ben Moussa](https://apify.com/hichemdev) (community) - **Categories:** Social media, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## πŸ‘½ Reddit Scraper β€” Posts & Comments by Subreddit or Search **Scrape Reddit posts and comments from any subreddit or search query β€” title, author, score, upvote ratio, text, and metadata β€” as clean structured data. No login, no API key.** Export to CSV, Excel, JSON, or Google Sheets, or pull via the Apify API. --- ### ✨ What you get **Per post** | Field | Example | |---|---| | title / author | "Show HN: …" Β· u/example | | subreddit | technology | | score / upvoteRatio | 4210 Β· 0.96 | | numComments | 318 | | text | self-post body | | url / linkUrl | Reddit permalink + linked URL | | flair, createdAt, over18 | metadata | **Optional per-post comments:** author, body, score, createdAt. --- ### 🎯 Who it's for - **Market & product research** β€” mine subreddits for pain points, feature requests, and sentiment. - **Brand monitoring** β€” track mentions of your product or competitors. - **Trend spotting** β€” pull top/rising posts in any niche. - **AI / datasets** β€” collect text for training, RAG, or analysis. - **Lead generation** β€” find people asking for the solution you sell. --- ### πŸš€ How to use it 1. Add **subreddits** (e.g. `technology`, `r/AskReddit`) **and/or** **search queries**. 2. Choose a **sort** (`hot`, `new`, `top`, `rising`, `controversial`) and, for `top`, a **time range**. 3. Set **max posts**, and optionally enable **comments**. 4. Click **Start** and export. --- ### πŸ“₯ Example input ```json { "subreddits": ["technology", "r/programming"], "sort": "top", "time": "week", "maxItems": 100, "includeComments": false } ```` Search across Reddit: ```json { "searchQueries": ["best crm for small business"], "sort": "top", "time": "year", "maxItems": 50 } ``` *** ### πŸ“€ Example output ```json { "type": "post", "id": "1abcd23", "subreddit": "technology", "title": "A new open-source tool just dropped", "author": "example_user", "score": 4210, "upvoteRatio": 0.96, "numComments": 318, "createdAt": "2026-07-15T14:22:10.000Z", "text": "Here's what it does...", "url": "https://www.reddit.com/r/technology/comments/1abcd23/...", "flair": "Software" } ``` *** ### ❓ FAQ **Do I need a Reddit account or API key?** No. It reads Reddit's public JSON β€” just give it subreddits or search terms. **Can I get comments too?** Yes β€” enable **Include comments** and set how many per post. It's slower, so leave it off for large post-only pulls. **How many posts can I get?** Reddit paginates listings; the Actor follows pages up to your **Max posts** limit per subreddit / query. **Is scraping Reddit legal?** It collects publicly available content. You're responsible for complying with Reddit's terms and applicable laws, and for how you use the data. *** ### πŸ—ΊοΈ Roadmap - Full comment trees with reply depth - User (redditor) profile scraping - Media/gallery URL extraction - Keyword filters and date ranges *** *Built and maintained by [hichemdev](https://apify.com/hichemdev). Found a bug or want a feature? Open an issue on the Actor's **Issues** tab.* # Actor input Schema ## `subreddits` (type: `array`): Subreddit names or URLs, e.g. "technology", "r/AskReddit", or a full subreddit URL. ## `searchQueries` (type: `array`): Optional. Reddit-wide search terms, e.g. "chatgpt". Each returns matching posts. ## `sort` (type: `string`): How to order posts. ## `time` (type: `string`): Time window used when sorting by top or controversial. ## `maxItems` (type: `integer`): Maximum number of posts to scrape per subreddit / search query. ## `includeComments` (type: `boolean`): Also scrape the top comments of each post (slower). ## `maxCommentsPerPost` (type: `integer`): How many comments to scrape per post when comments are enabled. ## `proxyConfiguration` (type: `object`): Reddit blocks datacenter traffic, so a residential proxy is used to render pages reliably. Included in your Apify plan. ## Actor input object example ```json { "subreddits": [ "technology" ], "searchQueries": [], "sort": "hot", "time": "week", "maxItems": 10, "includeComments": false, "maxCommentsPerPost": 20, "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 = { "subreddits": [ "technology" ], "searchQueries": [], "sort": "hot", "time": "week", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("hichemdev/reddit-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 = { "subreddits": ["technology"], "searchQueries": [], "sort": "hot", "time": "week", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("hichemdev/reddit-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 '{ "subreddits": [ "technology" ], "searchQueries": [], "sort": "hot", "time": "week", "maxItems": 10 }' | apify call hichemdev/reddit-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hichemdev/reddit-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Scraper β€” Posts & Comments by Subreddit or Search", "description": "Scrape Reddit posts and comments from any subreddit or search query: title, author, score, upvote ratio, text, and metadata. No login or API key.", "version": "0.1", "x-build-id": "QWh7Cye6CIPiaXrEo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hichemdev~reddit-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hichemdev-reddit-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hichemdev~reddit-scraper/runs": { "post": { "operationId": "runs-sync-hichemdev-reddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hichemdev~reddit-scraper/run-sync": { "post": { "operationId": "run-sync-hichemdev-reddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "subreddits": { "title": "Subreddits", "type": "array", "description": "Subreddit names or URLs, e.g. \"technology\", \"r/AskReddit\", or a full subreddit URL.", "items": { "type": "string" } }, "searchQueries": { "title": "Search queries", "type": "array", "description": "Optional. Reddit-wide search terms, e.g. \"chatgpt\". Each returns matching posts.", "items": { "type": "string" } }, "sort": { "title": "Sort by", "enum": [ "hot", "new", "top", "rising", "controversial" ], "type": "string", "description": "How to order posts.", "default": "hot" }, "time": { "title": "Time range (for top / controversial)", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time window used when sorting by top or controversial.", "default": "week" }, "maxItems": { "title": "Max posts", "minimum": 1, "type": "integer", "description": "Maximum number of posts to scrape per subreddit / search query.", "default": 50 }, "includeComments": { "title": "Include comments", "type": "boolean", "description": "Also scrape the top comments of each post (slower).", "default": false }, "maxCommentsPerPost": { "title": "Max comments per post", "minimum": 1, "type": "integer", "description": "How many comments to scrape per post when comments are enabled.", "default": 20 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Reddit blocks datacenter traffic, so a residential proxy is used to render pages reliably. Included in your Apify plan.", "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 } } } } } } } } } } ```