# Reddit Post & Comment Scraper (`miccho27/reddit-post-scraper`) Actor Scrape Reddit posts and comments from any subreddit or thread URL. Extract titles, scores, authors, comment trees, and metadata. No Reddit API key or OAuth required. - **URL**: https://apify.com/miccho27/reddit-post-scraper.md - **Developed by:** [Tatsuya Mizuno](https://apify.com/miccho27) (community) - **Categories:** Social media, Developer tools - **Stats:** 13 total users, 1 monthly users, 60.5% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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. 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 Post & Comment Scraper - Free Subreddit Data Extractor (Alternative to Reddit API, Pushshift, Arctic Shift) Scrape Reddit posts and comments from any subreddit or thread URL -- titles, scores, authors, awards, flairs, and full comment trees. No Reddit API key, no OAuth, no developer application. The best free alternative to Reddit Data API ($0.24/1K calls), Pushshift (discontinued), Arctic Shift, and SocialGrep. ### Who Is This For? - **Content marketers** -- Find trending topics, popular questions, and content gaps in your niche subreddits - **Market researchers** -- Analyze sentiment, feature requests, and pain points from product-related subreddits - **SEO specialists** -- Discover high-engagement keywords and questions people are asking on Reddit - **Data scientists** -- Build NLP datasets from Reddit comments for sentiment analysis and topic modeling - **Product managers** -- Monitor user feedback, feature requests, and bug reports on product subreddits - **Competitive intelligence** -- Track competitor mentions, comparisons, and user sentiment across subreddits ### Pricing -- Free to Start | Tier | Cost | What You Get | |------|------|-------------| | **Free trial** | $0 | Apify free tier includes monthly compute credits | | **Pay per result** | ~$2.00 / 1,000 posts | Subreddit scraping with comments | | **vs. Reddit API** | Saves $0.24/1K calls | No OAuth, no application, no rate limits | | **vs. Pushshift** | Still works | Pushshift was discontinued in 2023 | ### Quick Start (3 Steps) 1. **Click "Try for free"** on this Actor's page in Apify Store 2. **Enter subreddits** (e.g., `["webdev", "javascript"]`) or paste post URLs 3. **Click "Start"** and get Reddit data as JSON, CSV, or Excel ### Features - **Subreddit scraping**: Extract posts from any public subreddit (hot, new, top, rising) - **Post detail scraping**: Scrape individual posts with full comment trees - **Rich metadata**: Title, score, upvote ratio, author, flair, awards, NSFW flag, pinned status - **Comment extraction**: Top-level comments with author, score, and OP indicator - **Time filters**: Filter top posts by hour, day, week, month, year, or all time - **No API key**: Uses Reddit's public JSON endpoints - **Retry & rate limiting**: Automatic retries with configurable delays ### Input | Field | Type | Description | Default | |-------|------|-------------|---------| | `subreddits` | array | Subreddit names without `r/` (e.g. `["webdev", "javascript"]`) | -- | | `postUrls` | array | Direct Reddit post URLs to scrape with comments | -- | | `sortBy` | string | `"hot"`, `"new"`, `"top"`, `"rising"` | `"hot"` | | `timeFilter` | string | Time range for top sort: `"hour"`, `"day"`, `"week"`, `"month"`, `"year"`, `"all"` | `"week"` | | `maxPostsPerSubreddit` | integer | Max posts per subreddit (1-100) | `25` | | `includeComments` | boolean | Extract top-level comments for each post | `false` | | `maxCommentsPerPost` | integer | Max comments per post (1-50) | `10` | | `delayBetweenRequestsMs` | integer | Delay between requests in ms (min 1000) | `2000` | #### Example Input -- Subreddit Scraping ```json { "subreddits": ["webdev", "javascript", "reactjs"], "sortBy": "top", "timeFilter": "week", "maxPostsPerSubreddit": 25, "includeComments": false } ```` #### Example Input -- Post with Comments ```json { "postUrls": [ "https://www.reddit.com/r/webdev/comments/abc123/best_frameworks_2024/" ], "includeComments": true, "maxCommentsPerPost": 20 } ``` #### Example Input -- Market Research ```json { "subreddits": ["SaaS", "startups", "entrepreneur"], "sortBy": "top", "timeFilter": "month", "maxPostsPerSubreddit": 50, "includeComments": true, "maxCommentsPerPost": 5 } ``` ### Output ```json { "id": "1abc2de", "title": "What's the best JS framework in 2024?", "author": "webdev_user", "subreddit": "webdev", "score": 1247, "upvoteRatio": 0.94, "numComments": 384, "url": "https://www.reddit.com/r/webdev/comments/1abc2de/...", "permalink": "https://www.reddit.com/r/webdev/comments/1abc2de/...", "selfText": "I've been comparing React, Vue, and Svelte...", "flair": "Discussion", "awards": 5, "createdUtc": "2024-01-15T08:30:00.000Z", "isNsfw": false, "isPinned": false, "comments": [ { "id": "k5f6g7h", "author": "senior_dev", "body": "React is still the safe bet for most teams...", "score": 523, "createdUtc": "2024-01-15T09:15:00.000Z", "isOp": false, "awards": 2 } ], "scrapedAt": "2024-01-15T10:30:00.000Z" } ``` ### Real-World Use Cases #### 1. Content Research for Blog Posts Scrape top posts from niche subreddits to find the most discussed topics. Use titles and comments as inspiration for blog articles and YouTube videos. #### 2. Product Feedback Mining Monitor your product's subreddit for feature requests, bug reports, and user sentiment. Schedule weekly runs and export to Google Sheets for product team review. #### 3. SEO Keyword Discovery Extract post titles from relevant subreddits. Analyze the language users actually use when asking questions -- these become long-tail keyword opportunities. #### 4. Competitive Intelligence Track competitor mentions across industry subreddits. Compare sentiment and feature discussions to inform your product roadmap. #### 5. Academic NLP Dataset Build labeled datasets from subreddit comments for sentiment analysis, topic classification, and language model fine-tuning. ### FAQ **Q: Can I scrape private subreddits?** A: No. Only public subreddits are accessible. **Q: What about Reddit's API pricing?** A: This Actor uses Reddit's public JSON endpoints, not the official API. No API key or payment required. **Q: How many posts can I scrape per run?** A: Up to 100 per subreddit, multiple subreddits per run. For large-scale scraping, use multiple runs. **Q: Will Reddit block me?** A: The Actor includes rate limiting. Use Apify's proxy pool for consistent access with large batches. ### Notes & Limitations - **Public subreddits only**: Private and quarantined subreddits are not accessible. - **JSON endpoints**: Uses Reddit's `.json` endpoint (old.reddit.com). No OAuth required. - **Rate limiting**: 2s+ delay between requests. Reddit may throttle aggressive scraping. - **Comment depth**: Extracts top-level comments only. Nested reply trees are not included. - **NSFW content**: Posts flagged as NSFW include the `isNsfw: true` field. - **For research purposes**: Use in compliance with Reddit's Terms of Service. # Actor input Schema ## `subreddits` (type: `array`): Array of subreddit names to scrape (e.g., \["programming", "technology"]). Prefix 'r/' is optional. ## `postUrls` (type: `array`): Array of full Reddit post URLs to scrape. Alternative to subreddits. ## `sortBy` (type: `string`): How to sort subreddit posts: 'hot', 'new', 'top'. Default: 'hot' ## `timeFilter` (type: `string`): Time filter for 'top' sorting: 'hour', 'day', 'week', 'month', 'year', 'all'. Default: 'week' ## `maxPostsPerSubreddit` (type: `integer`): Maximum number of posts to scrape per subreddit (1-100). Default: 25 ## `includeComments` (type: `boolean`): Whether to include post comments in the output. Default: false ## `maxCommentsPerPost` (type: `integer`): Maximum number of comments to extract per post (1-50). Default: 10 ## `delayBetweenRequestsMs` (type: `integer`): Milliseconds to delay between requests. Default: 2000 ## Actor input object example ```json { "subreddits": [ "AskReddit" ], "postUrls": [], "sortBy": "hot", "timeFilter": "week", "maxPostsPerSubreddit": 25, "includeComments": false, "maxCommentsPerPost": 10, "delayBetweenRequestsMs": 2000 } ``` # 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": [ "AskReddit" ] }; // Run the Actor and wait for it to finish const run = await client.actor("miccho27/reddit-post-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 = { "subreddits": ["AskReddit"] } # Run the Actor and wait for it to finish run = client.actor("miccho27/reddit-post-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 '{ "subreddits": [ "AskReddit" ] }' | apify call miccho27/reddit-post-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=miccho27/reddit-post-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Post & Comment Scraper", "description": "Scrape Reddit posts and comments from any subreddit or thread URL. Extract titles, scores, authors, comment trees, and metadata. No Reddit API key or OAuth required.", "version": "1.0", "x-build-id": "37DEq2xxHTBQBLrHZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/miccho27~reddit-post-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-miccho27-reddit-post-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/miccho27~reddit-post-scraper/runs": { "post": { "operationId": "runs-sync-miccho27-reddit-post-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/miccho27~reddit-post-scraper/run-sync": { "post": { "operationId": "run-sync-miccho27-reddit-post-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": "Array of subreddit names to scrape (e.g., [\"programming\", \"technology\"]). Prefix 'r/' is optional.", "default": [] }, "postUrls": { "title": "Post URLs", "type": "array", "description": "Array of full Reddit post URLs to scrape. Alternative to subreddits.", "default": [] }, "sortBy": { "title": "Sort By", "enum": [ "hot", "new", "top" ], "type": "string", "description": "How to sort subreddit posts: 'hot', 'new', 'top'. Default: 'hot'", "default": "hot" }, "timeFilter": { "title": "Time Filter", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time filter for 'top' sorting: 'hour', 'day', 'week', 'month', 'year', 'all'. Default: 'week'", "default": "week" }, "maxPostsPerSubreddit": { "title": "Max Posts Per Subreddit", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of posts to scrape per subreddit (1-100). Default: 25", "default": 25 }, "includeComments": { "title": "Include Comments", "type": "boolean", "description": "Whether to include post comments in the output. Default: false", "default": false }, "maxCommentsPerPost": { "title": "Max Comments Per Post", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum number of comments to extract per post (1-50). Default: 10", "default": 10 }, "delayBetweenRequestsMs": { "title": "Delay Between Requests (ms)", "minimum": 1000, "type": "integer", "description": "Milliseconds to delay between requests. Default: 2000", "default": 2000 } } }, "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 } } } } } } } } } } ```