# Reddit Media Scraper - Low-costπŸ’²πŸ”₯πŸ–ΌοΈπŸ“Ί (`delectable_incubator/reddit-media-scraper-low-cost`) Actor πŸ”πŸ“Š Effortlessly gather Reddit post data by keyword! Enter a keyword to retrieve post titles, URLs πŸ”—, media πŸ–ΌοΈ, subreddit info πŸ“š, authors πŸ‘€, scores ⬆️, comments πŸ’¬, and more. Perfect for πŸ“ˆ market research, 🧠 trend analysis, πŸ•΅οΈ insights, and automation with Google Drive, Zapier & more ⚑ - **URL**: https://apify.com/delectable\_incubator/reddit-media-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Automation, Social media, Videos - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Media Search Scraper

--- ## πŸ”₯πŸ“Ί Reddit Media Search Scraper | Bulk Reddit Media Scraper | Apify Actor ### πŸš€ Extract Reddit Media Posts in Seconds (No Code) The **Reddit Media Search Scraper** is a powerful, scalable and SEO-optimized Apify Actor designed to extract **media-rich Reddit posts in bulk**. Search Reddit by keyword and instantly collect structured posts containing **videos, images, thumbnails, and engagement metadata**. Perfect for viral content tracking, trend analysis, media intelligence, and content discovery at scale. Built for marketers, content creators, analysts, agencies, and AI developers. --- ## πŸ”₯ Why Choose This Reddit Media Scraper? βœ” Best Reddit Media Scraper on Apify βœ” Supports **Bulk Keyword Scraping** βœ” Supports **Bulk Reddit URL Scraping** βœ” Extracts images, videos & thumbnails βœ” Fast & scalable extraction engine βœ” Structured JSON / CSV / Excel output βœ” Ideal for viral trend detection βœ” Perfect for AI datasets & content analytics βœ” No coding required βœ” No proxy required --- ## 🎯 What This Scraper Does This Apify Actor extracts Reddit posts enriched with media content and metadata. #### πŸ“Œ Core Features βœ… Scrape Reddit media posts βœ… Bulk keyword scraping (multi-search) βœ… Bulk Reddit URL scraping βœ… Extract videos from Reddit βœ… Extract images and thumbnails βœ… Extract subreddit metadata βœ… Extract community stats βœ… Extract post position data βœ… Time filtering (hour β†’ all-time) βœ… Sorting options (hot, top, new, comments) βœ… Automatic pagination βœ… High-speed extraction engine --- ## ⚑ Input Configuration ### πŸ”₯ BULK KEYWORD MODE ```` { "keywords": \[ "football highlights", "memes", "ai videos", "crypto news", "cats", "gaming clips" ], "time": "month", "sort": "top", "max\_items": 500 } ``` --- ## πŸ“Š Extracted Media Data | Field | Description | |--------|-------------| | id | Reddit post ID | | title | Post title | | url | Reddit post URL | | subreddit | Subreddit metadata object | | post_info | NSFW, spoiler & ranking position | | media | Video/image content + thumbnails | | community_stats | Members, online users, description | --- ## πŸ’‘ Use Cases This Reddit Media Scraper is ideal for: πŸ“Ί Viral content discovery πŸ“ˆ Trend analysis πŸ“Š Market research 🎯 Content inspiration πŸ€– AI training datasets πŸ“’ Social media monitoring πŸ“‘ Media intelligence 🏒 Competitive analysis βš™οΈ Automation workflows --- ## πŸš€ Key Features ⚑ Bulk keyword scraping 🌍 Bulk Reddit URL scraping πŸŽ₯ Video extraction support πŸ–ΌοΈ Image & thumbnail extraction πŸ“Š Community intelligence 🧠 Structured datasets πŸ“Œ Smart pagination πŸ” Auto retry system ⚑ High-speed scraping engine πŸ’Ύ Export-ready output ☁️ Scalable Apify cloud execution --- ## πŸ“€ Output Formats βœ” JSON βœ” CSV βœ” Excel (XLSX) βœ” XML βœ” HTML --- ## πŸ“¦ Example Output ``` { "id": "t3\_1mxzyyx", "title": "No fouls called for Tottenham 39'", "url": "https://www.reddit.com/r/soccer/comments/1mxzyyx/no\_fouls\_called\_for\_tottenham\_39/", "subreddit": { "id": "t5\_2qi58", "name": "soccer", "nsfw": false, "quarantined": false }, "post\_info": { "nsfw": false, "spoiler": false, "position": 25, "relative\_position": 25 }, "media": { "type": "video", "url": "https://packaged-media.redd.it/...", "thumbnail": "https://external-preview.redd.it/...", "dimensions": { "width": "N/A", "height": "N/A" } }, "community\_stats": { "members": 8572906, "online": 3892, "description": "The football subreddit. News, results, and discussion about the beautiful game." } } ```` --- ## πŸ“Š Built-in Views βœ” Overview βœ” Viral Media Posts βœ” Video Content Feed βœ” Image Content Feed βœ” By Subreddit βœ” By Keyword All datasets are fully exportable to JSON, CSV and Excel. --- ## πŸ”₯ Why This is One of the Best Reddit Media Scrapers on Apify? βœ” Optimized for Apify Marketplace SEO βœ” Bulk keyword support βœ” Bulk URL support βœ” High-performance media extraction engine βœ” Structured datasets βœ” Enterprise-ready βœ” Reliable pagination βœ” Perfect for viral content intelligence βœ” Built for marketers, creators, agencies and developers --- ## πŸ’Έ Pricing This scraper runs on a pay-per-result pricing model. You only pay for successfully extracted records. πŸ’³ Price: **$2.69 / 1,000 results** --- ## ❓ FAQ #### Can I scrape multiple keywords? Yes. Bulk keyword mode is fully supported. #### Can I scrape multiple Reddit URLs? Yes. Bulk URL mode is fully supported. #### Does it extract videos? Yes β€” Reddit videos, thumbnails and media URLs are fully supported. #### Can I filter by time? Yes. Supported filters: - hour - day - week - month - year - all #### Can I sort results? Yes. Supported sorting: - relevance - hot - top - new - comments #### Can I export the data? Yes. Supported formats: JSON, CSV, Excel, XML, HTML #### Is coding required? No. This is a fully no-code Apify Actor. --- ## ⚠️ Disclaimer This project is an independent data extraction tool and is not affiliated with, endorsed by, or associated with Reddit. --- ## πŸ”— Related Actors More PrimeScrape scrapers are coming soon. πŸš€ Reddit Intelligence Suite πŸš€ Social Media Scrapers πŸš€ Viral Content Trackers πŸš€ AI Dataset Builders πŸš€ Media Analytics Tools --- ## 🌍 PrimeScrape Ecosystem Built for large-scale scraping, automation, AI datasets and digital intelligence. πŸ“Ί Media intelligence πŸ“Š Trend analytics πŸ€– AI training datasets πŸ“ˆ Market research βš™οΈ Automation pipelines ☁️ Cloud scraping --- ## πŸ“¬ Support ⭐⭐⭐⭐⭐ If you enjoy this actor, leave a 5-star review. πŸ“© Need custom scraping or enterprise solutions? Contact us via Apify. # Actor input Schema ## `keywords` (type: `array`): One or more keywords to search for media posts on Reddit. Each keyword is scraped separately. ## `time` (type: `string`): Select the time period for the search results ## `sort` (type: `string`): Select how to sort the search results ## `maxitems` (type: `integer`): Limits how many posts will be scraped from Reddit per keyword ## Actor input object example ```json { "keywords": [ "AI" ], "time": "year", "sort": "relevance", "maxitems": 100 } ```` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "keywords": [ "AI" ], "time": "year", "sort": "relevance", "maxitems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/reddit-media-scraper-low-cost").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 = { "keywords": ["AI"], "time": "year", "sort": "relevance", "maxitems": 100, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/reddit-media-scraper-low-cost").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 '{ "keywords": [ "AI" ], "time": "year", "sort": "relevance", "maxitems": 100 }' | apify call delectable_incubator/reddit-media-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=delectable_incubator/reddit-media-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Media Scraper - Low-costπŸ’²πŸ”₯πŸ–ΌοΈπŸ“Ί", "description": "πŸ”πŸ“Š Effortlessly gather Reddit post data by keyword! Enter a keyword to retrieve post titles, URLs πŸ”—, media πŸ–ΌοΈ, subreddit info πŸ“š, authors πŸ‘€, scores ⬆️, comments πŸ’¬, and more. Perfect for πŸ“ˆ market research, 🧠 trend analysis, πŸ•΅οΈ insights, and automation with Google Drive, Zapier & more ⚑", "version": "0.0", "x-build-id": "sY3XIllWjPIkleuQg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~reddit-media-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-reddit-media-scraper-low-cost", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~reddit-media-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-reddit-media-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~reddit-media-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-reddit-media-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords", "time", "sort", "maxitems" ], "properties": { "keywords": { "title": "Search Keywords πŸ”", "type": "array", "description": "One or more keywords to search for media posts on Reddit. Each keyword is scraped separately.", "default": [ "AI" ], "items": { "type": "string" } }, "time": { "title": "Time Period ⏰", "enum": [ "all", "hour", "day", "week", "month", "year" ], "type": "string", "description": "Select the time period for the search results", "default": "year" }, "sort": { "title": "Sort By πŸ“Š", "enum": [ "relevance", "hot", "top", "new", "comments" ], "type": "string", "description": "Select how to sort the search results", "default": "relevance" }, "maxitems": { "title": "Maximum number of posts to scrape πŸ’¬", "type": "integer", "description": "Limits how many posts will be scraped from Reddit per keyword", "default": 100 } } }, "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 } } } } } } } } } } ```