# Reddit Trends Scraper - Low-costπŸ’²πŸ”₯πŸ“ˆβš‘ (`delectable_incubator/reddit-trends-scraper-low-cost`) Actor πŸ“ˆ Instantly discover what’s trending on Reddit! πŸ”₯ Fetch the hottest posts with titles πŸ“, scores ⬆️, comments πŸ’¬, subreddits πŸ“š, authors πŸ‘€, URLs πŸ”—, media πŸ–ΌοΈ, and more. Perfect for πŸ“Š trend tracking, content curation, competitor analysis, audience insights, and workflow automation ⚑ - **URL**: https://apify.com/delectable\_incubator/reddit-trends-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Social media, Videos, Automation - **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 Trends Posts Scraper

--- ## πŸ“ˆπŸ”₯ Reddit Trends Posts Scraper | Bulk Reddit Trending Posts Extractor | Apify Actor ### πŸš€ Extract Reddit Trending Posts in Seconds (No Code) The **Reddit Trends Posts Scraper** is a powerful, scalable and SEO-optimized **Apify Actor** built to extract the latest trending Reddit posts in bulk. Collect structured Reddit trend data directly from Reddit's trending feed for **market research, trend monitoring, AI datasets, content discovery, social listening, competitive intelligence, and analytics**. Whether you're tracking viral discussions, monitoring online communities or building Reddit-powered dashboards, this scraper delivers clean structured datasets ready for analysis. --- ## πŸ”₯ Why Choose This Reddit Trends Scraper? βœ” Best Reddit Trending Posts Scraper on Apify βœ” Extract trending Reddit posts in bulk βœ” Fast & scalable cloud scraping βœ” No coding required βœ” Clean JSON / CSV / Excel export βœ” Ideal for AI datasets & trend analysis βœ” Enterprise-ready performance βœ” Perfect for marketers, researchers & developers --- ## 🎯 What This Scraper Does This Apify Actor automatically extracts the latest trending Reddit posts currently promoted by Reddit. #### πŸ“Œ Core Features βœ… Scrape Reddit Trending Posts βœ… Bulk extraction of trending content βœ… Retrieve viral Reddit discussions βœ… Extract engagement metrics βœ… Capture subreddit information βœ… Collect author information βœ… Export structured datasets βœ… High-speed extraction engine --- ## ⚑ Simple Input Configuration Simply choose how many trending posts you want to collect. ```` { "maxitems": 100 } ``` --- ## πŸ“Š Extracted Data | Field | Description | |------|-------------| | post_id | Reddit post ID | | post_title | Post title | | permalink | Reddit post URL | | external_link | External content URL | | post_type | Image, Video, Text or Link | | score | Upvotes | | comment_count | Number of comments | | created_timestamp | Creation date | | domain | Linked domain | | subreddit_name | Subreddit name | | subreddit_id | Subreddit ID | | subreddit_prefixed_name | Prefixed subreddit | | author | Reddit username | | author_id | Reddit user ID | | author_icon | Author avatar | | award_count | Awards received | | award_id | Award ID | | award_icon_url | Award icon | --- ## πŸ’‘ Popular Use Cases πŸ“ˆ Reddit trend monitoring πŸ”₯ Viral content discovery πŸ“Š Social media analytics 🎯 Market research 🧠 Consumer insights πŸ€– AI & LLM training datasets πŸ“’ Brand monitoring 🏒 Competitive intelligence πŸ“‘ Community analysis πŸ“° News & trend aggregation --- ## πŸš€ Key Features ⚑ High-speed scraping engine πŸ“ˆ Bulk trending post extraction 🧠 Structured clean datasets πŸ’Ύ Export-ready output ☁️ Cloud execution on Apify πŸ”„ Stable & reliable architecture πŸ“Š Optimized for large-scale scraping πŸš€ Enterprise scalability --- ## πŸ“€ Export Formats βœ” JSON βœ” CSV βœ” Excel (XLSX) βœ” XML βœ” HTML --- ## πŸ“¦ Example Output ``` { "post\_id": "t3\_1njy7y1", "post\_title": "i have found the best random in all my years of playing GTA V", "permalink": "/r/gtaonline/comments/1njy7y1/i\_have\_found\_the\_best\_random\_in\_all\_my\_years\_of/", "external\_link": "https://v.redd.it/pc8guf43jupf1", "post\_type": "video", "score": 5374, "comment\_count": 121, "created\_timestamp": "2025-09-18T03:54:14Z", "domain": "v.redd.it", "subreddit\_name": "gtaonline", "subreddit\_id": "t5\_2xrd1", "subreddit\_prefixed\_name": "r/gtaonline", "author": "WNTRYT", "author\_id": "t2\_7rzvyean", "author\_icon": "https://...", "award\_count": "N/A", "award\_id": "N/A", "award\_icon\_url": "N/A" } ```` --- ## πŸ”₯ Why This Is One of the Best Reddit Scrapers on Apify βœ” Optimized for Apify Marketplace SEO βœ” High-performance Reddit scraping engine βœ” Reliable trending content extraction βœ” Structured export-ready datasets βœ” Built for automation & AI workflows βœ” Scalable cloud infrastructure βœ” Perfect for research, analytics & business intelligence --- ## πŸ’Έ Pricing This scraper runs on a pay-per-result pricing model. You only pay for successfully extracted records. πŸ’³ Price: **$2.79 / 1,000 results** --- ## ❓ Frequently Asked Questions #### Can I scrape Reddit trending posts? Yes. This actor extracts the latest trending posts currently promoted by Reddit. #### Can I export the data? Yes. Export to JSON, CSV, Excel, XML or HTML. #### Is coding required? No. This is a completely no-code Apify Actor. #### Can I use it for AI datasets? Absolutely. The structured output is perfect for AI, LLM and machine learning pipelines. #### Is it suitable for market research? Yes. It's ideal for trend monitoring, competitor analysis and social listening. --- ## ⚠️ Disclaimer This tool is an independent data extraction solution and is not affiliated with Reddit. --- ## πŸ”— Related Actors Discover more **PrimeScrape** scraping solutions for Reddit, social media, jobs, real estate, marketplaces and business intelligence. More premium Actors coming soon πŸš€ --- ## 🌍 PrimeScrape Ecosystem PrimeScrape develops powerful scraping tools designed for: πŸ“ˆ Market Intelligence πŸ€– AI Training Datasets πŸ“Š Data Collection πŸ“‘ Social Listening 🏒 Business Intelligence βš™οΈ Automation πŸš€ Lead Generation πŸ” Competitive Research --- ## πŸ“¬ Support ⭐⭐⭐⭐⭐ If you enjoy this Actor, please leave a review! Need a custom scraper or enterprise solution? Contact us through the Apify platform. # Actor input Schema ## `maxitems` (type: `integer`): Limits how many posts will be scraped from Reddit ## Actor input object example ```json { "maxitems": 60 } ```` # 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 = { "maxitems": 60 }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/reddit-trends-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 = { "maxitems": 60 } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/reddit-trends-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 '{ "maxitems": 60 }' | apify call delectable_incubator/reddit-trends-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-trends-scraper-low-cost", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Trends Scraper - Low-costπŸ’²πŸ”₯πŸ“ˆβš‘", "description": "πŸ“ˆ Instantly discover what’s trending on Reddit! πŸ”₯ Fetch the hottest posts with titles πŸ“, scores ⬆️, comments πŸ’¬, subreddits πŸ“š, authors πŸ‘€, URLs πŸ”—, media πŸ–ΌοΈ, and more. Perfect for πŸ“Š trend tracking, content curation, competitor analysis, audience insights, and workflow automation ⚑", "version": "0.0", "x-build-id": "guPQ1If3BJt9KtLJi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/delectable_incubator~reddit-trends-scraper-low-cost/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-delectable_incubator-reddit-trends-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/delectable_incubator~reddit-trends-scraper-low-cost/runs": { "post": { "operationId": "runs-sync-delectable_incubator-reddit-trends-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/delectable_incubator~reddit-trends-scraper-low-cost/run-sync": { "post": { "operationId": "run-sync-delectable_incubator-reddit-trends-scraper-low-cost", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "maxitems" ], "properties": { "maxitems": { "title": "Maximum number of posts to scrape πŸ’¬", "type": "integer", "description": "Limits how many posts will be scraped from Reddit", "default": 60 } } }, "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 } } } } } } } } } } ```