# Reddit Subreddit Scraper: Hot, New & Top Feeds ($1/1k) 📈 (`unitbytes/reddit-subreddits-scraper`) Actor Scrape any subreddit feed (Hot, New, Top, Rising) with custom date filters. Extract unlimited posts, community engagement scores, and permanent media links in seconds. 1-click clean Excel/CSV export. - **URL**: https://apify.com/unitbytes/reddit-subreddits-scraper.md - **Developed by:** [UnitBytes | Enterprise Web Data](https://apify.com/unitbytes) (community) - **Categories:** Social media, Lead generation, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 1,000 result scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README

Reddit Subreddit & Feeds Scraper API by UnitBytes

Try it for Free
⚡ 1-Click Free Trial: Scrape Hot, New, Top & Rising feeds from any community • No API keys required • Instant results

*** ## 📈 Reddit Subreddit & Feeds Scraper \[From $0.50💰] — Community Intelligence & Trend Extraction

The easiest way to extract trending posts and community feeds from any subreddit.
Monitor competitor communities, track viral discussions, spot emerging trends, and export complete post discussions without API keys, accounts, or developer approvals.

Pricing Zero API Keys Feeds Speed Excel & CSV

*** ### ⚡ 30-Second Quick Start (No Code Required) Extract any subreddit feed in 3 easy steps: 1. **Enter Subreddit Name**: Type the community name in **`subreddit`** (e.g. `technology`, `wallstreetbets`, `SaaS`) or paste the full URL in **`startUrls`**. 2. **Choose Feed Sort**: Select **`hot`** (trending now), **`new`** (real-time alerts), **`top`** (all-time best), or **`rising`** (early breakout trends). 3. **Click "Start" & Export**: Hit **Start**. Your dataset is ready in 1–2 seconds. Download your spreadsheet as **Excel**, **CSV**, or **JSON** with 1 click. > 💡 **Multi-Community Surveillance**: Want to monitor 10 communities at once? Just paste multiple URLs into `startUrls`. The scraper extracts them all automatically into one organized dataset. *** ### 💡 How Subreddit Monitoring Unlocks Business Value - 📢 **Competitor Community Surveillance** — Track discussions, product feedback, and user complaints inside subreddits dedicated to your rivals or industry (e.g. `r/webflow`, `r/shopify`, `r/notion`). - 📊 **Financial & Retail Sentiment** — Capture ticker mentions, upvote surges, and community sentiment shifts in real time from `r/wallstreetbets`, `r/stocks`, and `r/cryptocurrency`. - 🔥 **Viral Content & Trend Sourcing** — Spot viral stories, breakthrough news, and top-voted discussions hours before they reach Twitter, LinkedIn, or mainstream media. - 🛠️ **Customer Pain Point Discovery** — Identify common bugs, missing features, and workarounds that users post about in niche communities to fuel your product roadmap. *** ### ⚡ 4 Flexible Feed Perspectives | Feed Sort | What It Delivers | Primary Business Use Case | | :--- | :--- | :--- | | 🔥 **Hot** | What community members are actively talking about right now | Day-to-day community monitoring & emerging discussions | | 🆕 **New** | Newest posts in chronological order | Real-time brand alerts & instant crisis detection | | 🏆 **Top** | Proven, highest-voted posts filtered by hour, day, week, month, year, or all-time | Researching the best-performing content of all time | | 📈 **Rising** | Posts gaining upvote momentum rapidly | Early viral trend discovery before content blows up | *** ### ⭐ Key Advantages & What You Get - 📢 **Complete Feed Freedom** — Scrape any community by simply typing its name (e.g. `technology`) or pasting its URL (`https://www.reddit.com/r/technology/`). - 🖼️ **100% Permanent HD Media Links** — Expiring Reddit media links are automatically converted to permanent high-definition links that never break in your spreadsheets. - 📊 **Zero-Cleaning Exports (Excel, CSV, JSON)** — Clean tabular records with scores, author flair, comment counts, and creation dates ready for instant analysis. - ⚡ **Lightning-Fast Execution** — Extracts 50–100 posts in 1–2 seconds with zero waiting time. - 💰 **Fair & Predictable Pricing** — From **$0.50 per 1,000 posts** with zero startup penalties and an unconditional **$0.00 guarantee on empty subreddits**. *** > ### 💡 Why Businesses Choose This Over Reddit Official API > > - **Zero API Developer Accounts or Approvals**: Official access requires navigating Reddit's gated developer portal and satisfying strict commercial usage restrictions. UnitBytes works immediately with 1 click. > - **Fraction of the Cost**: Official enterprise access involves $1,000+/mo commitments. UnitBytes offers flexible Pay-Per-Event pricing starting at **$0.50 per 1,000 posts** with zero minimums. > - **Permanent HD Media Links**: Stop dealing with expiring media URLs that break your spreadsheets after a few hours. UnitBytes rewrites all media links to permanent CDN assets (`i.redd.it`). > - **Instant Multi-Subreddit Batching**: Scrape multiple communities in a single automated run without managing OAuth2 token refreshes, rate limits, or pagination tokens. ### 🏆 How It Compares to Other Options | Feature / Capability | **UnitBytes Subreddit Scraper** | Official Reddit API | Other Scraping Tools | | :--- | :--- | :--- | :--- | | **Setup & Approvals** | **✅ Instant 1-click start (Zero setup)** | 🛑 Strict approvals & developer contracts | ❌ None needed | | **Cost per 1,000 Posts** | **💰 $0.50 – $1.00** | 💵 $0.24 + Enterprise monthly fees | 💸 $2.00 – $5.00 | | **Permanent Media Links** | **✅ 100% Permanent HD Links (`i.redd.it`)** | ⚠️ Expiring signed URLs | ❌ Often broken preview links | | **Data Format** | **✅ 1-Click Clean CSV, Excel & JSON** | Complex nested JSON | Inconsistent columns | | **Time to Results** | **⚡ 1–2 seconds (Instant)** | ~3–5 seconds | 🐢 30–60 seconds | | **Extra Compute Fees** | **✅ $0.00 (No hidden server fees)** | N/A | 💸 High hourly compute bills | | **Empty Subreddit Runs** | **✅ $0.00 (Guaranteed Zero Charge)** | ❌ Charged per call | ⚠️ Charged start fees | *** ### 💎 Predictable Pricing & Volume Discounts We use Apify **Pay-Per-Event (PPE)** pricing with active **Store Discounts**. Users on higher subscription tiers automatically unlock substantial volume discounts: | Plan Tier | Apify Discount Tier | Unit Price per Item | Price / 1,000 Posts | Included Monthly Capacity | | :--- | :--- | :--- | :--- | :--- | | 🟢 **Free Plan** | `FREE` | **$0.0010** | **$1.00** | **Up to 5,000 posts/mo FREE** ($5 credit) | | 🥉 **Starter Plan** | `BRONZE` | **$0.0008** | **$0.80 (20% OFF)** | **Up to 23,750 posts/mo** ($19 credit) | | 🥈 **Scale Plan** | `SILVER` | **$0.0006** | **$0.60 (40% OFF)** | **Up to 331,600 posts/mo** ($199 credit) | | 🥇 **Business Plan** | `GOLD` / `PLATINUM` | **$0.0005** | **$0.50 (50% OFF)** | **Up to 1,998,000 posts/mo** ($999 credit) | #### 💰 What Does This Cost in Real Life? | Extraction Scenario | Posts Harvested | Estimated Cost (Starter / Scale) | Time to Complete | | :--- | :--- | :--- | :--- | | **Daily Subreddit Pulse Check** | 100 Hot Posts | **$0.05 – $0.08** | ~1 second | | **All-Time Greatest Hits Research** | 1,000 Top Posts (Year/All) | **$0.50 – $0.80** | ~1–2 seconds | | **Multi-Community Competitor Audit** | 5 Communities × 500 Posts = 2,500 Posts | **$1.25 – $2.00** | ~3–4 seconds | | **Retail Investor Sentiment Archive** | 10,000 Posts from `r/wallstreetbets` | **$5.00 – $8.00** | ~10 seconds | | **Apify Free Plan Users** | Up to **5,000 posts/month** | **$0.00 FREE** *(Included with $5 credit)* | Instant | > **Fair Billing Guarantee**: Zero charges on non-existent subreddits or empty feeds. Startup fee is capped at the platform minimum ($0.00005). *** ### 🚀 3 Ready-to-Run Workflows #### Workflow 1: Trending Community Discussion Monitoring Track viral topics and daily sentiment in any target community. 1. Enter `subreddit`: `"technology"` or `"wallstreetbets"`. 2. Select `sort`: `"hot"` or `"rising"`. 3. Set `maxItems`: `50` or `100`. 4. Click **Start** — download clean, sentiment-ready CSV/Excel in seconds. #### Workflow 2: Best-Of-All-Time Content Research Discover the highest-upvoted ideas, questions, and guides ever published in a subreddit. 1. Enter `subreddit`: `"SaaS"` or `"marketing"`. 2. Select `sort`: `"top"`. 3. Set `timeFilter`: `"year"` or `"all"`. 4. Download the all-time greatest hits to inspire your content or marketing strategy. #### Workflow 3: Multi-Community Batch Surveillance Extract feeds from multiple communities simultaneously. 1. Add subreddit links into **`startUrls`** (e.g. `r/Python`, `r/dataengineering`, `r/MachineLearning`). 2. The scraper processes each community in sequence and combines all results into one unified dataset with community labels. *** ### 📥 Input Parameters | Parameter | Type | Default | Description | | :--- | :--- | :--- | :--- | | `subreddit` | String | `"technology"` | Subreddit name to scrape (e.g. `technology`, `wallstreetbets`, `SaaS`). | | `startUrls` | Array | `[]` | Optional direct subreddit URLs for multi-community scraping. | | `sort` | Select | `"hot"` | Feed sort: `hot`, `new`, `top`, or `rising`. | | `timeFilter` | Select | `"all"` | Time filter for top posts: `all`, `year`, `month`, `week`, `day`, or `hour`. | | `maxItems` | Integer | `50` | Maximum number of posts to extract (1 – 5,000). | | `scrapeComments` | Boolean | `false` | Whether to also extract comment threads for each post. | | `maxCommentsPerPost` | Integer | `20` | Maximum comments to extract per post if enabled. | | `proxyConfiguration` | Object | `Default` | Recommended proxy settings for high-speed, reliable extraction. | | `customProxyUrl` | String | `""` | Optional custom proxy URL if you prefer your own provider. | *** ### 📤 Sample Output Datasets Every extracted post is delivered as a clean, flat record ready for immediate analysis: ```json { "itemType": "post", "id": "t3_1x0b0f5", "title": "Major cybersecurity update released for enterprise systems", "subreddit": "technology", "author": "security_researcher", "score": 1250, "upvoteRatio": 0.96, "numComments": 142, "postType": "link", "url": "https://www.reddit.com/r/technology/comments/1x0b0f5/...", "permalink": "https://www.reddit.com/r/technology/comments/1x0b0f5/...", "createdAt": "2026-10-11T10:15:00Z", "selftext": "", "flair": "Cybersecurity", "isOver18": false, "isPinned": false, "mediaUrls": ["https://i.redd.it/security_infographic.png"], "scrapedAt": "2026-10-11T16:00:00Z" } ``` *** ### 📊 Instant Analysis in Excel, Google Sheets & Python The pre-flattened dataset requires zero manual cleanup: - **In Google Sheets / Excel**: Download CSV or Excel with 1 click. Sort by `score` to find top ideas or filter by `flair` to narrow down topics. - **In Python / Pandas**: ```python import pandas as pd from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") items = client.dataset("DATASET_ID").list_items().items df = pd.DataFrame(items) # Filter high-engagement discussions viral_posts = df[df["score"] >= 1000] print(f"Extracted {len(viral_posts)} viral posts.") ``` *** ### ❓ Frequently Asked Questions (FAQ) #### Can I scrape multiple subreddits in one run? **Yes.** Use the `startUrls` field to add multiple subreddit URLs. The actor will scrape each one in order and merge them into one dataset. #### Can I extract comments along with the posts? **Yes.** Toggle `scrapeComments: true` and specify `maxCommentsPerPost`. The actor will harvest full discussions and replies for each post. #### What happens if a subreddit does not exist or is private? The actor finishes cleanly with exit code `0`, outputs an empty dataset, and **charges $0.00**. #### Are image and video links permanent? **Yes.** Expiring Reddit media links are automatically converted to permanent high-definition CDN links that never expire. *** ### ⚖️ Compliance & Privacy This scraper extracts only publicly accessible posts that Reddit provides to web visitors. It does not access private or quarantine subreddits. Please ensure your usage complies with applicable data privacy laws and Reddit terms. # Actor input Schema ## `subreddit` (type: `string`): Subreddit name to scrape (e.g. 'technology', 'SaaS', 'wallstreetbets'). ## `startUrls` (type: `array`): Direct subreddit links (e.g. https://www.reddit.com/r/technology/). ## `sort` (type: `string`): Sorting criteria for the subreddit feed. ## `timeFilter` (type: `string`): Time filter applied when sorting by 'top' posts. ## `maxItems` (type: `integer`): Maximum number of posts to extract from the subreddit. ## `scrapeComments` (type: `boolean`): Whether to extract comment threads for scraped posts. ## `maxCommentsPerPost` (type: `integer`): Maximum number of top-level and nested comments to extract per post. ## `proxyConfiguration` (type: `object`): Residential proxy configuration. Reddit blocks datacenter IPs, so residential proxies are automatically enforced by default for high reliability. ## `customProxyUrl` (type: `string`): Optional custom residential proxy URL (e.g. MrScraper). If provided, it will be prioritized before falling back to Apify Residential. ## Actor input object example ```json { "subreddit": "technology", "startUrls": [], "sort": "hot", "timeFilter": "all", "maxItems": 50, "scrapeComments": false, "maxCommentsPerPost": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `redditDataset` (type: `string`): Structured dataset of extracted Reddit posts, user submissions, search results, and comment trees with permanent media links. # 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 = { "subreddit": "technology", "startUrls": [] }; // Run the Actor and wait for it to finish const run = await client.actor("unitbytes/reddit-subreddits-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 = { "subreddit": "technology", "startUrls": [], } # Run the Actor and wait for it to finish run = client.actor("unitbytes/reddit-subreddits-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "subreddit": "technology", "startUrls": [] }' | apify call unitbytes/reddit-subreddits-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,unitbytes/reddit-subreddits-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/4sL8xkVSWyyXilLtE/builds/BndWnR8pnPQyiYjre/openapi.json