# Reddit Video Scraper & Downloader (`dami_studio/reddit-video-scraper`) Actor Find and download videos from any subreddit or user profile — no key, no login. Grabs the best-quality v.redd.it video with audio muxed in, plus metadata. For reposting, faceless video pipelines, datasets, and content research. - **URL**: https://apify.com/dami\_studio/reddit-video-scraper.md - **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community) - **Categories:** Social media, Videos, For creators - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $30.00 / 1,000 reddit video downloadeds 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 Video Scraper & Downloader Find and download videos from any subreddit or Reddit user profile. No API key, no login, no app registration. Point it at a list of sources and you get back the post metadata plus a muxed MP4 with audio for each video. Built for reposting, faceless content pipelines, and building video datasets. ### How it works It discovers video posts through Reddit's public RSS feeds (so it doesn't touch the rate-limited JSON API), then for each video post it pulls the best-quality `v.redd.it` stream and muxes the separate video and audio tracks back together with ffmpeg into a single MP4. ### Input `sources` is the only required field. You can mix subreddits and user profiles in any format: `oddlysatisfying`, `r/aww`, `u/GallowBoob`, or a full Reddit URL. | Field | Required | Notes | |---|---|---| | `sources` | yes | Array of subreddits and/or user profiles. Accepts `r/aww`, `u/name`, bare names, or full URLs. | | `sort` | no | `top`, `hot`, `new`, `rising`, or `controversial`. Defaults to `top`. | | `time` | no | Time window for `top`/`controversial`: `hour`, `day`, `week`, `month`, `year`, `all`. Defaults to `week`. | | `maxPostsPerSource` | no | How many video posts to return per source, 1-50. Defaults to 10. | | `downloadVideos` | no | `true` downloads the muxed MP4 to the key-value store. `false` returns metadata and playlist URLs only. Defaults to `true`. | | `minDurationSeconds` / `maxDurationSeconds` | no | Skip videos outside this range. `0` means no limit. | | `dedupeAcrossRuns` | no | Remembers video IDs between runs so the same clip isn't returned twice. Defaults to `true`. | | `proxyConfiguration` | no | Apify proxy. Residential is recommended for reliability at volume. | ### Output Each dataset item is one video post with its `id`, `title`, `subreddit`, `author`, `url`, `createdUtc`, and the `hlsPlaylist` / `dashPlaylist` stream URLs. When `downloadVideos` is on, the item also carries `videoKey`, `videoUrl`, `resolution`, `durationSeconds`, and `hasAudio` pointing at the MP4 saved in the key-value store. If a download fails the record still pushes, with a `downloadError` field explaining why. ### Example ```json { "sources": ["r/oddlysatisfying", "u/GallowBoob"], "sort": "top", "time": "week", "maxPostsPerSource": 10, "downloadVideos": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` ### Pricing $0.03 per video, pay per result, no subscription. Bring your own OpenAI key for any step that uses an AI model. ### Notes Reddit-hosted video only. The `v.redd.it` mux path doesn't cover external embeds like YouTube or Imgur links posted to a subreddit. Datacenter proxies get throttled fast at volume, so use residential if you're pulling more than a handful of sources. # Actor input Schema ## `sources` (type: `array`): Any mix of subreddits and Reddit user profiles: 'oddlysatisfying', 'r/aww', 'u/GallowBoob', or a full reddit URL. Works for ANY source. ## `subreddits` (type: `array`): Optional alias — plain subreddit names, merged into sources. ## `users` (type: `array`): Optional — Reddit usernames (without u/), merged into sources. ## `sort` (type: `string`): top, hot (trending), new (latest), rising, or controversial. ## `time` (type: `string`): Time window for top/controversial. E.g. all time, this year, this week. ## `maxPostsPerSource` (type: `integer`): How many video posts to return/download per source. ## `downloadVideos` (type: `boolean`): Download the best-quality muxed MP4 (with audio) to the key-value store. Off = return metadata + playlist URLs only. ## `minDurationSeconds` (type: `integer`): Skip videos shorter than this. 0 = no limit. ## `maxDurationSeconds` (type: `integer`): Skip videos longer than this. 0 = no limit. ## `dedupeAcrossRuns` (type: `boolean`): Remember video IDs between runs so the same video isn't returned twice. ## `proxyConfiguration` (type: `object`): Apify proxy. RESIDENTIAL recommended for reliability at volume. ## Actor input object example ```json { "sources": [ "r/oddlysatisfying", "r/aww" ], "sort": "top", "time": "week", "maxPostsPerSource": 10, "downloadVideos": true, "minDurationSeconds": 0, "maxDurationSeconds": 0, "dedupeAcrossRuns": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): Result rows / metadata are stored in the default dataset (one row per item). ## `files` (type: `string`): Generated media/files (video, audio, images, captions) are stored in the default key-value store. # 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 = { "sources": [ "r/oddlysatisfying", "r/aww" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("dami_studio/reddit-video-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 = { "sources": [ "r/oddlysatisfying", "r/aww", ], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("dami_studio/reddit-video-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 '{ "sources": [ "r/oddlysatisfying", "r/aww" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call dami_studio/reddit-video-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dami_studio/reddit-video-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Video Scraper & Downloader", "description": "Find and download videos from any subreddit or user profile — no key, no login. Grabs the best-quality v.redd.it video with audio muxed in, plus metadata. For reposting, faceless video pipelines, datasets, and content research.", "version": "0.1", "x-build-id": "vpxBff8y1M9bfYkhR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dami_studio~reddit-video-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dami_studio-reddit-video-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dami_studio~reddit-video-scraper/runs": { "post": { "operationId": "runs-sync-dami_studio-reddit-video-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dami_studio~reddit-video-scraper/run-sync": { "post": { "operationId": "run-sync-dami_studio-reddit-video-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "sources" ], "properties": { "sources": { "title": "Sources (subreddits or user profiles)", "type": "array", "description": "Any mix of subreddits and Reddit user profiles: 'oddlysatisfying', 'r/aww', 'u/GallowBoob', or a full reddit URL. Works for ANY source.", "items": { "type": "string" } }, "subreddits": { "title": "Subreddits (alias)", "type": "array", "description": "Optional alias — plain subreddit names, merged into sources.", "items": { "type": "string" } }, "users": { "title": "User profiles (alias)", "type": "array", "description": "Optional — Reddit usernames (without u/), merged into sources.", "items": { "type": "string" } }, "sort": { "title": "Sort", "enum": [ "top", "hot", "new", "rising", "controversial" ], "type": "string", "description": "top, hot (trending), new (latest), rising, or controversial.", "default": "top" }, "time": { "title": "Time range", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time window for top/controversial. E.g. all time, this year, this week.", "default": "week" }, "maxPostsPerSource": { "title": "Max videos per source", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many video posts to return/download per source.", "default": 10 }, "downloadVideos": { "title": "Download the videos", "type": "boolean", "description": "Download the best-quality muxed MP4 (with audio) to the key-value store. Off = return metadata + playlist URLs only.", "default": true }, "minDurationSeconds": { "title": "Min duration (s)", "type": "integer", "description": "Skip videos shorter than this. 0 = no limit.", "default": 0 }, "maxDurationSeconds": { "title": "Max duration (s)", "type": "integer", "description": "Skip videos longer than this. 0 = no limit.", "default": 0 }, "dedupeAcrossRuns": { "title": "Dedupe across runs", "type": "boolean", "description": "Remember video IDs between runs so the same video isn't returned twice.", "default": true }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Apify proxy. RESIDENTIAL recommended for reliability at volume.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```