# Reddit Post Scraper (`codingfrontend/reddit-post-scraper`) Actor Scrape specific Reddit post URLs for full post details, body text, images, videos, gallery, awards, metadata, and optional comments with nested replies. - **URL**: https://apify.com/codingfrontend/reddit-post-scraper.md - **Developed by:** [codingfrontend](https://apify.com/codingfrontend) (community) - **Categories:** Social media, Developer tools, Automation - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 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 ## Reddit Post Scraper Scrape specific Reddit post URLs for complete post data including title, body text, images, videos, gallery content, awards, crosspost details, and optional top comments with nested replies — using Reddit's official JSON API. Ideal for monitoring specific posts, ingesting post data for NLP/analysis, or building content pipelines from curated Reddit URLs. ### Features - **Batch input** — Provide a list of Reddit post URLs and scrape them all - **Full post details** — Title, selftext, author, score, flair, domain, awards, media, and 50+ fields - **Video extraction** — HLS (streaming), DASH, and fallback video URLs with dimensions and duration - **Gallery support** — All gallery images in order with captions and MP4 alternatives - **Comments** — Optional top-20 comments with up to 5 nested reply levels - **Parallel execution** — Processes 2 posts concurrently for efficiency - **Awards breakdown** — Individual award names and gilding tiers - **Stealth mode** — Random user agents, headers, and fingerprinting to avoid rate limits --- ### Input Options | Field | Type | Default | Description | |-------|------|---------|-------------| | `postUrls` | Array | *required* | List of Reddit post URLs to scrape | | `includeComments` | Boolean | `true` | Fetch top 20 comments with nested replies | | `headless` | Boolean | `true` | Run browser in headless mode | | `proxyConfiguration` | Object | Apify Residential | Proxy settings | --- ### Example Inputs #### Scrape a single post with comments ```json { "postUrls": [ "https://www.reddit.com/r/javascript/comments/1t9jt9w/bluejs_compile_javascript_to_12mb_native_binaries/" ], "includeComments": true } ```` #### Scrape multiple posts, no comments ```json { "postUrls": [ "https://www.reddit.com/r/programming/comments/abc123/post_one/", "https://www.reddit.com/r/webdev/comments/def456/post_two/", "https://www.reddit.com/r/reactjs/comments/ghi789/post_three/" ], "includeComments": false } ``` *** ### Output Dataset Fields | Field | Type | Description | |-------|------|-------------| | `id` | String | Reddit post ID | | `title` | String | Post title | | `url` | String | External link URL (or Reddit permalink for self posts) | | `permalink` | String | Full Reddit URL | | `subreddit` | String | Subreddit name | | `subredditId` | String | Subreddit fullname (t5\_xxx) | | `subredditType` | String | `public`, `private`, `restricted` | | `subredditSubscribers` | Number | Subscriber count | | `author` | String | Post author username | | `authorFullname` | String | Author fullname (t2\_xxx) | | `authorFlair` | String | Author flair text | | `authorPremium` | Boolean | Whether author has Reddit Premium | | `score` | Number | Upvotes minus downvotes | | `upvoteRatio` | Number | Fraction of upvotes (0.0–1.0) | | `numComments` | Number | Total comment count | | `createdAt` | String | ISO 8601 creation timestamp | | `editedAt` | String/Boolean | ISO 8601 edit timestamp or `false` | | `selfText` | String | Full post body text (self posts) | | `postType` | String | `self` · `link` · `image` · `video` · `gallery` · `crosspost` | | `isVideo` | Boolean | Whether post contains hosted video | | `isSelf` | Boolean | Whether it's a text/self post | | `isGallery` | Boolean | Whether it's a gallery post | | `isOC` | Boolean | Original content flag | | `thumbnail` | String | Thumbnail image URL | | `flair` | String | Post flair text | | `flairBackgroundColor` | String | Flair background hex color | | `domain` | String | Link domain | | `nsfw` | Boolean | NSFW flag | | `spoiler` | Boolean | Spoiler flag | | `locked` | Boolean | Whether post is locked | | `pinned` | Boolean | Whether post is pinned | | `stickied` | Boolean | Whether post is stickied | | `archived` | Boolean | Whether post is archived | | `distinguished` | String | `moderator`, `admin`, or `null` | | `suggestedSort` | String | Suggested comment sort | | `numCrossposts` | Number | Cross-post count | | `postHint` | String | `self` · `link` · `image` · `rich:video` · `hosted:video` | | `isCrossPost` | Boolean | Whether it's a cross-post | | `crosspostFrom` | String | Original subreddit if cross-posted | | `crosspostOriginal` | Object | Full original post data if cross-posted | | `awardsCount` | Number | Total awards received | | `gilded` | Number | Number of times gilded | | `gildings` | Object | Breakdown by award tier | | `awards` | Array | Award names and counts | | `previewImages` | Array | Preview image objects with resolutions | | `videoData` | Object | Video URLs (HLS, DASH, fallback), dimensions, duration | | `galleryImages` | Array | Gallery images with URL, caption, mp4 | | `mediaEmbed` | Object | Embedded media HTML/dimensions | | `comments` | Array | Top comments (if `includeComments=true`) | | `scrapedAt` | String | ISO 8601 scrape timestamp | #### Comment Object | Field | Type | Description | |-------|------|-------------| | `id` | String | Comment ID | | `author` | String | Comment author | | `body` | String | Comment text | | `score` | Number | Comment score | | `createdAt` | String | ISO 8601 timestamp | | `edited` | String/Boolean | Edit timestamp or false | | `flair` | String | Author flair | | `distinguished` | String | `moderator`, `admin`, or null | | `stickied` | Boolean | Whether comment is stickied | | `replies` | Array | Nested replies (up to 5 deep) | *** ### Example Output ```json { "id": "1t9jt9w", "title": "BlueJS: Compile JavaScript to 12MB native binaries", "url": "https://github.com/example/bluejs", "permalink": "https://www.reddit.com/r/javascript/comments/1t9jt9w/...", "subreddit": "javascript", "subredditSubscribers": 2400000, "author": "dev_user", "score": 1842, "upvoteRatio": 0.97, "numComments": 143, "selfText": "", "postType": "link", "domain": "github.com", "awardsCount": 3, "comments": [ { "id": "cmt123", "author": "another_user", "body": "This is really impressive!", "score": 245, "createdAt": "2025-06-01T11:00:00.000Z", "replies": [] } ], "scrapedAt": "2025-06-01T12:00:00.000Z" } ``` *** ### Related Actors - **Reddit Subreddit Scraper** — Scrape new/hot/top posts from a specific subreddit - **Reddit Search Scraper** — Search Reddit by keyword across all subreddits *** ### Author Built by **Kumar Lakshmanan** · # Actor input Schema ## `postUrls` (type: `array`): List of Reddit post URLs to scrape ## `includeComments` (type: `boolean`): Fetch top 20 comments with nested replies for each post ## `headless` (type: `boolean`): Run browser in headless mode (recommended for production) ## `proxyConfiguration` (type: `object`): Proxy settings. Apify Residential proxy recommended to avoid Reddit rate limits. ## Actor input object example ```json { "postUrls": [ "https://www.reddit.com/r/javascript/comments/1t9jt9w/bluejs_compile_javascript_to_12mb_native_binaries/" ], "includeComments": true, "headless": true, "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 = { "postUrls": [ "https://www.reddit.com/r/javascript/comments/1t9jt9w/bluejs_compile_javascript_to_12mb_native_binaries/" ], "includeComments": true, "headless": true }; // Run the Actor and wait for it to finish const run = await client.actor("codingfrontend/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 = { "postUrls": ["https://www.reddit.com/r/javascript/comments/1t9jt9w/bluejs_compile_javascript_to_12mb_native_binaries/"], "includeComments": True, "headless": True, } # Run the Actor and wait for it to finish run = client.actor("codingfrontend/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 '{ "postUrls": [ "https://www.reddit.com/r/javascript/comments/1t9jt9w/bluejs_compile_javascript_to_12mb_native_binaries/" ], "includeComments": true, "headless": true }' | apify call codingfrontend/reddit-post-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codingfrontend/reddit-post-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Post Scraper", "description": "Scrape specific Reddit post URLs for full post details, body text, images, videos, gallery, awards, metadata, and optional comments with nested replies.", "version": "1.0", "x-build-id": "JrwNrnAsdWYjZlmpE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codingfrontend~reddit-post-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codingfrontend-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/codingfrontend~reddit-post-scraper/runs": { "post": { "operationId": "runs-sync-codingfrontend-reddit-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/codingfrontend~reddit-post-scraper/run-sync": { "post": { "operationId": "run-sync-codingfrontend-reddit-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "postUrls" ], "properties": { "postUrls": { "title": "Post URLs", "type": "array", "description": "List of Reddit post URLs to scrape", "items": { "type": "string" } }, "includeComments": { "title": "Include Comments", "type": "boolean", "description": "Fetch top 20 comments with nested replies for each post", "default": true }, "headless": { "title": "Headless Mode", "type": "boolean", "description": "Run browser in headless mode (recommended for production)", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Apify Residential proxy recommended to avoid Reddit rate limits.", "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 } } } } } } } } } } ```