# Reddit Scraper (`fatihai-tools/reddit-scraper`) Actor Scrape Reddit posts, comments, upvotes, and user data from any subreddit. Extract trending topics, sentiment data, and community insights. Perfect for market research and content analysis. - **URL**: https://apify.com/fatihai-tools/reddit-scraper.md - **Developed by:** [fatih dağüstü](https://apify.com/fatihai-tools) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 Scraper Scrape Reddit posts, comments, and search results from any subreddit using Reddit's public JSON API. No browser rendering needed — fast, lightweight, and reliable. ### Features - Scrape subreddits by name (hot, new, top, rising) - Search all of Reddit by keyword - Scrape direct post URLs with optional comments - Extracts: title, author, score, upvote ratio, comment count, selftext, URL, flair, NSFW flag, awards - PPE pricing — pay only for what you scrape ($0.002/item) ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | subreddits | array | [] | Subreddit names (e.g. "programming") | | searchQueries | array | [] | Search keywords | | postUrls | array | [] | Direct post URLs | | maxResults | integer | 100 | Max posts per source | | sortBy | string | "hot" | hot / new / top / rising | | timeFilter | string | "week" | hour / day / week / month / year / all | | includeComments | boolean | false | Also fetch top comments | | proxy | object | auto | Proxy configuration | ### Example Input ```json { "subreddits": ["programming", "webdev"], "searchQueries": ["python web scraping"], "maxResults": 100, "sortBy": "hot", "timeFilter": "week", "includeComments": false } ```` ### Output Fields (Posts) ```json { "type": "post", "id": "abc123", "title": "Post title", "author": "username", "subreddit": "programming", "score": 1234, "upvoteRatio": 0.95, "numComments": 56, "selftext": "Post body text...", "url": "https://www.reddit.com/r/programming/comments/abc123/...", "externalUrl": null, "permalink": "/r/programming/comments/abc123/...", "flair": "Discussion", "isNSFW": false, "awards": 3, "createdUtc": 1700000000, "createdAt": "2024-11-14T00:00:00.000Z", "domain": "self.programming", "isSelf": true, "isVideo": false, "thumbnail": null, "scrapedAt": "2024-11-14T12:00:00.000Z" } ``` ### Pricing $0.002 per item (pay-per-event). 100 posts = $0.20. ### Technical Notes - Uses Reddit's public `.json` API — no official API key required - Datacenter proxies work fine (no browser fingerprinting needed) - Rate limiting handled automatically with retries and delays - Requires only 256MB RAM # Actor input Schema ## `subreddits` (type: `array`): List of subreddit names to scrape (without /r/ prefix). Example: technology, programming, startups ## `searchQuery` (type: `string`): Optional search term within the subreddit(s). Example: 'python web scraping' ## `maxPosts` (type: `integer`): Maximum number of posts to scrape per subreddit. ## `sort` (type: `string`): How to sort posts. ## `timeFilter` (type: `string`): Time range (applies to 'top' sort and search). ## `includeComments` (type: `boolean`): Fetch top 10 comments for each post. Makes scraping slower. ## Actor input object example ```json { "subreddits": [ "technology" ], "maxPosts": 50, "sort": "hot", "timeFilter": "week", "includeComments": false } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "maxPosts": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("fatihai-tools/reddit-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "maxPosts": 50 } # Run the Actor and wait for it to finish run = client.actor("fatihai-tools/reddit-scraper").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 '{ "maxPosts": 50 }' | apify call fatihai-tools/reddit-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fatihai-tools/reddit-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Scraper", "description": "Scrape Reddit posts, comments, upvotes, and user data from any subreddit. Extract trending topics, sentiment data, and community insights. Perfect for market research and content analysis.", "version": "0.0", "x-build-id": "JCEvlQHdip9DA5bkJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fatihai-tools~reddit-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fatihai-tools-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fatihai-tools~reddit-scraper/runs": { "post": { "operationId": "runs-sync-fatihai-tools-reddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fatihai-tools~reddit-scraper/run-sync": { "post": { "operationId": "run-sync-fatihai-tools-reddit-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "List of subreddit names to scrape (without /r/ prefix). Example: technology, programming, startups", "default": [ "technology" ], "items": { "type": "string" } }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Optional search term within the subreddit(s). Example: 'python web scraping'" }, "maxPosts": { "title": "Max Posts", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of posts to scrape per subreddit.", "default": 50 }, "sort": { "title": "Sort By", "enum": [ "hot", "new", "top", "rising" ], "type": "string", "description": "How to sort posts.", "default": "hot" }, "timeFilter": { "title": "Time Filter", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time range (applies to 'top' sort and search).", "default": "week" }, "includeComments": { "title": "Include Comments", "type": "boolean", "description": "Fetch top 10 comments for each post. Makes scraping slower.", "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 } } } } } } } } } } ```