# Reddit Community Post (`truefetch/reddit-community-post`) Actor Pull subreddit posts with full body text, score, author, flair, and 40+ fields — includes nested comment threads. Sort by hot, new, top, or rising. $0.0069 per post. - **URL**: https://apify.com/truefetch/reddit-community-post.md - **Developed by:** [TrueFetch](https://apify.com/truefetch) (community) - **Categories:** Social media, News, Videos - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $5.20 / 1,000 posts 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/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 > **Affiliate disclosure:** Apify links on this page may include referral parameters. If you sign up through one of these links, TrueFetch may earn a commission from Apify at no extra cost to you. Pricing, features, and Actor access are unaffected. [![Reddit Community Post](https://img.shields.io/badge/Reddit%20Community%20Post-FF4500?style=for-the-badge&logo=reddit&logoColor=white)](https://apify.com/TrueFetch/reddit-community-post?fpr=aiagentapi) [![Reddit Subreddit Scraper](https://img.shields.io/badge/Reddit%20Subreddit%20Scraper-1F8A70?style=for-the-badge)](https://apify.com/TrueFetch/reddit-community-post?fpr=aiagentapi) [![$0.0069 per Post](https://img.shields.io/badge/$0.0069%20per%20Post-2E8B57?style=for-the-badge)](https://apify.com/TrueFetch/reddit-community-post?fpr=aiagentapi) [![Posts, Comments & Metadata](https://img.shields.io/badge/Posts%20%7C%20Comments%20%7C%20Metadata-555555?style=for-the-badge)](https://apify.com/TrueFetch/reddit-community-post?fpr=aiagentapi) [![Telegram Support](https://img.shields.io/badge/Telegram-Support-26A5E4?style=for-the-badge&logo=telegram&logoColor=white)](https://t.me/AiAgentApi) [![Telegram Group](https://img.shields.io/badge/Telegram-Group-26A5E4?style=for-the-badge&logo=telegram&logoColor=white)](https://t.me/Apify_Actor) ## Reddit Community Post — Reddit Subreddit Scraper: Posts, Comments & Metadata **Provide a subreddit name and scrape posts sorted by new, top, hot, rising, or controversial — plus optional comments — and get 40+ structured fields per post including title, body, author, votes, media, and timestamps.** No login required. > **TL;DR (40-word answer):** Reddit Community Post is a no-login Apify Actor that returns structured subreddit posts and optional comments at **$0.0069 per post + $0.0001 per comment**, covering 40+ metadata fields for social listening, NLP, and competitor research. Last verified 2026-05-02. > **What it is NOT:** Reddit Community Post is _not_ a cross-subreddit search tool, _not_ a user analytics Actor, and _not_ a real-time comment tracker — it scrapes posts from a single specified subreddit with optional comment threads. > **Reddit Community Post is an Apify Actor that accepts a subreddit name and returns structured posts and comments via the Reddit API.** Maintained by TrueFetch on the Apify Store. --- ### 🏷️ Why choose Reddit Community Post **Reddit Community Post is best for** social media researchers, NLP engineers, and community managers who need bulk subreddit post data with full metadata and comment threads. - **📊 40+ fields per post** — title, body, author, score, upvotes, media URL, flair, timestamps, flags, duplicates, and nested comment threads. - **💬 Optional comment threads** — fetch up to **10,000 comments per run** at $0.0001 each. - **⚡ Pay-per-result pricing** — **$0.0069 per post** + **$0.0001 per comment**. Free Apify plan includes $5 monthly credits. --- ### 🚀 Quick Start — run in 3 steps #### Run in Apify Console 1. **Open the Actor** — go to [Reddit Community Post on Apify](https://apify.com/TrueFetch/reddit-community-post?fpr=aiagentapi) and click **Try for free**. 2. **Configure inputs** — enter a subreddit name (e.g. `python`), choose a `sort_by` value, set `max_posts` and optionally `max_comments`. 3. **Click Start** — the Actor returns structured posts in the default dataset; download as JSON, CSV, or Excel. #### Run via Apify API ```bash curl -X POST "https://api.apify.com/v2/acts/TrueFetch~reddit-community-post/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "community": "python", "sort_by": "new", "max_posts": 100, "max_comments": 10 }' ```` #### Run via MCP (for AI agents) Reddit Community Post is callable from Claude, ChatGPT, Cursor, and any MCP-compatible client through the [Apify MCP Server](https://docs.apify.com/platform/integrations/mcp?fpr=aiagentapi). Reference the Actor as `TrueFetch/reddit-community-post` and pass the same JSON input as above. *** ### ⚙️ Input parameters | Parameter | Type | Required | Default | Description | Example | | -------------- | ------- | :------: | ------- | ----------------------------------------------------------------------------------------- | -------- | | `community` | string | ✅ | — | Subreddit name or URL (e.g. `python`, `r/python`, or `https://www.reddit.com/r/python/`). | `python` | | `sort_by` | string | ✅ | — | Post sort order: `new`, `top`, `hot`, `rising`, or `controversial`. | `hot` | | `max_posts` | integer | ✅ | — | Number of posts to fetch. Range: 1–10,000. | `100` | | `max_comments` | integer | ❌ | `0` | Number of comments to fetch per post. Set to `0` to skip. Maximum 10,000. | `10` | ```json { "community": "python", "sort_by": "hot", "max_posts": 100, "max_comments": 10 } ``` *** ### 📦 Output dataset Each run writes structured post records (plus optional comment records) to the **default Apify dataset**, exportable as JSON, JSONL, CSV, Excel, XML, RSS, or via the dataset API. | Field | Type | Always present? | Description | Example | | -------------- | ------- | :-------------: | ------------------------------------------------------ | --------------------------------------------------- | | `processor` | string | ✅ | Apify Actor URL that produced this record. | `https://apify.com/TrueFetch/reddit-community-post` | | `processed_at` | string | ✅ | ISO 8601 UTC timestamp. | `2026-04-24T09:30:00+00:00` | | `subreddit` | string | optional | Subreddit display name. | `python` | | `id` | string | optional | Reddit post ID. | `1abc2de` | | `author` | string | optional | Post author username. | `u/some_user` | | `created` | string | optional | Post creation timestamp (UTC). | `2026-04-20T14:00:00+00:00` | | `title` | string | optional | Post title. | `New Python release!` | | `body` | string | optional | Post body text (for text posts). | `Here's what's new...` | | `score` | integer | optional | Post score (upvotes minus downvotes). | `2345` | | `upvotes` | integer | optional | Raw upvote count. | `2500` | | `downvotes` | integer | optional | Raw downvote count. | `155` | | `flair_text` | string | optional | Post flair label. | `Discussion` | | `media_url` | string | optional | External link or image URL. | `https://example.com/image.png` | | `thumbnail` | string | optional | Thumbnail image URL. | `https://b.thumbs.redditmedia.com/...` | | `locked` | boolean | optional | Whether the post is locked for comments. | `false` | | `over_18` | boolean | optional | NSFW flag. | `false` | | `duplicates` | array | optional | URLs of crossposted versions. | `["https://..."]` | | `comments` | array | optional | Array of comment objects (author, body, score, depth). | `[{"author": "..."}]` | #### Sample output ```json { "processor": "https://apify.com/TrueFetch/reddit-community-post", "processed_at": "2026-04-24T09:30:00+00:00", "subreddit": "python", "title": "New Python release!", "author": "u/some_user", "score": 2345, "upvotes": 2500, "media_url": "https://python.org/news", "comments": [] } ``` *** ### 💡 Use cases #### For social media researchers tracking subreddit trends - **Problem:** a researcher needs to analyze top posts from r/technology over the past month for sentiment and topic modeling. - **How Reddit Community Post solves it:** set `sort_by: "top"` and `max_posts: 500` to pull post titles and bodies in bulk. - **Outcome:** ready-to-analyze NLP dataset at **$0.0069 per post** — 500 posts ≈ $3.45. #### For community managers monitoring competitor subreddits - **Problem:** a brand manager wants to know what customers are saying about a competitor in relevant subreddits. - **How Reddit Community Post solves it:** run on competitor-related subreddits with `sort_by: "new"` on a schedule to capture fresh posts. - **Outcome:** automated competitor monitoring via webhook or scheduled runs. #### For AI agents answering questions about Reddit community activity - **Problem:** LLM agents asked "what are people discussing in r/finance today?" cannot answer from stale training data. - **How Reddit Community Post solves it:** call the Actor over the [Apify MCP Server](https://docs.apify.com/platform/integrations/mcp?fpr=aiagentapi) to retrieve current posts. - **Outcome:** grounded Reddit data in production AI assistants. *** ### 💰 Pricing, limits, and performance | Fact | Value | | --------------------------- | --------------------------------------------------------------------------- | | Pricing model | Pay-per-result (events: `post` and `comment`) | | Per-post price | **$0.0069 per post = $6.90 per 1,000** | | Per-comment price | **$0.0001 per comment = $0.10 per 1,000** | | Free-tier monthly allowance | $5 Apify credits ≈ **~724 free posts** or **~50,000 free comments** / month | | Max posts per run | **10,000** | | Max comments per run | **10,000** | | Output fields per post | **40+** | | Login / cookies required | **No** — works without a Reddit account | | Export formats | JSON, JSONL, CSV, Excel, XML, RSS, dataset API | *** ### ⚖️ Compared with alternatives | Capability | **Reddit Community Post** | Reddit API (PRAW) | Custom scraper | | -------------------------------------------------------------- | :-----------------------: | :-------------------: | :------------------: | | 40+ structured post fields including media and comment threads | ✅ | code required | you build & maintain | | Sort by new / top / hot / rising / controversial | ✅ | ✅ | you implement | | Pay-per-result pricing | **$0.0069 / post** | free but rate-limited | infra + dev cost | | Export to CSV / JSON | ✅ | ❌ | you implement | | Setup time to first result | **< 60 seconds** | hours | days–weeks | **Verdict.** Reddit Community Post is ideal for researchers and developers who need structured subreddit post data without managing Reddit API credentials or rate limits. *** ### ⚠️ Common mistakes to avoid 1. **Providing a full Reddit URL instead of the subreddit name.** The Actor also accepts `r/python` or full URLs, but a bare name like `python` works best. 2. **Setting `max_comments` > 0 for large runs without checking cost.** Comments are charged at $0.0001 each — on a 1,000-post run with 10 comments each = $0.69 + $1.00 in comment charges. 3. **Expecting deleted posts or private subreddits.** The Actor only scrapes publicly accessible subreddits. *** ### 🛠️ Troubleshooting | Problem | Likely cause | Fix | | --------------------------- | -------------------------------------- | ------------------------------------------------------------------------ | | `Missing 'community' field` | Input is missing the `community` key. | Add `"community": "subreddit_name"` to your input JSON. | | `Missing 'sort_by' field` | Input missing `sort_by`. | Set `sort_by` to one of: `new`, `top`, `hot`, `rising`, `controversial`. | | Empty dataset returned | Subreddit is private or quarantined. | Verify the subreddit is publicly accessible on Reddit. | | `Charge limit reached` | Account-level monthly spend limit hit. | Raise the run / monthly limit in your Apify plan settings. | *** ### ❓ FAQ #### What data does Reddit Community Post return? Reddit Community Post returns 40+ structured fields per post including title, body, author, score, upvotes, downvotes, flair, media URL, timestamps, and optional comment threads. #### How much does Reddit Community Post cost? The Actor charges **$0.0069 per post** and **$0.0001 per comment**. The Apify Free plan includes $5 of monthly platform credits. #### Does Reddit Community Post require a login? No. Reddit Community Post uses the Reddit API without requiring a user login or cookies. #### Can I get posts from multiple subreddits in one run? No — each run targets a single subreddit. Use Apify Schedules or parallel runs to cover multiple communities. *** ### 🔌 Integrations Reddit Community Post plugs straight into the Apify ecosystem: - **Schedules** — monitor subreddit trends on a recurring schedule ([docs](https://docs.apify.com/platform/schedules?fpr=aiagentapi)). - **Webhooks** — POST results to your endpoint on `ACTOR.RUN.SUCCEEDED` ([docs](https://docs.apify.com/platform/integrations/webhooks?fpr=aiagentapi)). - **Apify API** — `run-sync-get-dataset-items` for blocking calls, `runs` for async ([docs](https://docs.apify.com/api/v2?fpr=aiagentapi)). - **MCP Server** — call the Actor from Claude, ChatGPT, or Cursor agents ([docs](https://docs.apify.com/platform/integrations/mcp?fpr=aiagentapi)). - **No-code** — Make, Zapier, n8n, Pipedream, Google Sheets, Airtable. *** ### 🧱 Sister Actors from TrueFetch #### Jobs - [Best Job Search](https://apify.com/TrueFetch/best-job-search?fpr=aiagentapi) - [Glassdoor Job Search](https://apify.com/TrueFetch/glassdoor-job-search?fpr=aiagentapi) - 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[Video Subtitles Downloader](https://apify.com/TrueFetch/video-subtitles-downloader?fpr=aiagentapi) - [Video To Text](https://apify.com/TrueFetch/video-to-text?fpr=aiagentapi) - [YouTube Niche Scraper](https://apify.com/TrueFetch/youtube-niche-scraper?fpr=aiagentapi) - [YouTube Video Downloader](https://apify.com/TrueFetch/youtube-video-downloader?fpr=aiagentapi) #### Content & Articles - [Medium Article Finder](https://apify.com/TrueFetch/medium-article-finder?fpr=aiagentapi) - [Medium Writer Finder](https://apify.com/TrueFetch/medium-writer-finder?fpr=aiagentapi) *** ### 📞 Support, changelog, last updated #### Support - 💬 **Telegram Group:** [t.me/Apify\_Actor](https://t.me/Apify_Actor) - 📧 **Direct support:** [t.me/AiAgentApi](https://t.me/AiAgentApi) - 📖 **Actor page & docs:** [apify.com/TrueFetch/reddit-community-post](https://apify.com/TrueFetch/reddit-community-post?fpr=aiagentapi) Maintained by **TrueFetch** on the [Apify Store](https://apify.com/TrueFetch?fpr=aiagentapi). > **Cost of doing nothing:** manually collecting 500 Reddit posts with comments takes hours of copy-pasting. Reddit Community Post delivers structured data at $0.0069 per post via API. → [Try it free with $5 of Apify credits](https://apify.com/TrueFetch/reddit-community-post?fpr=aiagentapi). #### Changelog - **2026-05-02** — README rewritten for SEO + GEO; documented all output fields, pricing, troubleshooting matrix, and FAQ. - **2026-04** — Added `duplicates` array and `content_score` field. - **2026-02** — Initial release: Reddit subreddit post and comment scraper. *** ```json { "@context": "https://schema.org", "@graph": [ { "@type": "SoftwareApplication", "@id": "https://apify.com/TrueFetch/reddit-community-post#software", "name": "Reddit Community Post", "description": "Apify Actor that scrapes posts and optional comments from any public subreddit, returning 40+ structured fields per post at $0.0069 per post.", "applicationCategory": "BusinessApplication", "operatingSystem": "Web, Cloud", "url": "https://apify.com/TrueFetch/reddit-community-post", "offers": { "@type": "Offer", "price": "0.0069", "priceCurrency": "USD", "availability": "https://schema.org/InStock" }, "author": { "@id": "https://apify.com/TrueFetch#author-TrueFetch" }, "publisher": { "@id": "https://apify.com/TrueFetch#publisher" } }, { "@type": "Organization", "@id": "https://apify.com/TrueFetch#publisher", "name": "TrueFetch", "url": "https://apify.com/TrueFetch", "sameAs": ["https://t.me/Apify_Actor", "https://t.me/AiAgentApi"] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "What data does Reddit Community Post return?", "acceptedAnswer": { "@type": "Answer", "text": "Reddit Community Post returns 40+ structured fields per post including title, body, author, score, upvotes, downvotes, flair, media URL, timestamps, and optional comment threads." } }, { "@type": "Question", "name": "How much does Reddit Community Post cost?", "acceptedAnswer": { "@type": "Answer", "text": "Reddit Community Post charges $0.0069 per post and $0.0001 per comment. The Apify Free plan includes $5 of monthly platform credits." } }, { "@type": "Question", "name": "Can I get posts from multiple subreddits?", "acceptedAnswer": { "@type": "Answer", "text": "Each run targets a single subreddit. Use Apify Schedules or parallel runs to cover multiple communities." } } ] }, { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Apify", "item": "https://apify.com" }, { "@type": "ListItem", "position": 2, "name": "Social Media", "item": "https://apify.com/store?category=SOCIAL_MEDIA" }, { "@type": "ListItem", "position": 3, "name": "Reddit Community Post", "item": "https://apify.com/TrueFetch/reddit-community-post" } ] } ] } ``` *** **Last Updated:** May 2, 2026 **Schema version:** 1.1 **Maintained by:** [TrueFetch](https://apify.com/TrueFetch?fpr=aiagentapi) · 💬 [Telegram Group](https://t.me/Apify_Actor) · 📧 [Support](https://t.me/AiAgentApi) # Actor input Schema ## `community` (type: `string`): Reddit community (subreddit) name to browse. Enter just the name (e.g., 'askreddit'), with r/ prefix ('r/askreddit'), or full URL. Case-insensitive. ## `sort_by` (type: `string`): Sort posts by: New (latest), Top (highest score), Hot (trending), Rising (gaining traction), or Controversial (mixed votes) ## `max_posts` (type: `integer`): Maximum number of posts to get from the community ## `max_comments` (type: `integer`): Maximum number of comments to get from each post ## Actor input object example ```json { "community": "askreddit", "sort_by": "new", "max_posts": 1 } ``` # Actor output Schema ## `results` (type: `string`): API link to the dataset containing all posts. Each item includes full post metadata and optional nested comment threads. # 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 = { "community": "askreddit", "sort_by": "new", "max_posts": 1, "max_comments": 0 }; // Run the Actor and wait for it to finish const run = await client.actor("truefetch/reddit-community-post").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 = { "community": "askreddit", "sort_by": "new", "max_posts": 1, "max_comments": 0, } # Run the Actor and wait for it to finish run = client.actor("truefetch/reddit-community-post").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 '{ "community": "askreddit", "sort_by": "new", "max_posts": 1, "max_comments": 0 }' | apify call truefetch/reddit-community-post --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=truefetch/reddit-community-post", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Community Post", "description": "Pull subreddit posts with full body text, score, author, flair, and 40+ fields — includes nested comment threads. Sort by hot, new, top, or rising. $0.0069 per post.", "version": "1.0", "x-build-id": "Sd63U0SgS9948ThMk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/truefetch~reddit-community-post/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-truefetch-reddit-community-post", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/truefetch~reddit-community-post/runs": { "post": { "operationId": "runs-sync-truefetch-reddit-community-post", "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/truefetch~reddit-community-post/run-sync": { "post": { "operationId": "run-sync-truefetch-reddit-community-post", "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": [ "max_comments", "max_posts", "sort_by", "community" ], "properties": { "community": { "title": "Community", "type": "string", "description": "Reddit community (subreddit) name to browse. Enter just the name (e.g., 'askreddit'), with r/ prefix ('r/askreddit'), or full URL. Case-insensitive." }, "sort_by": { "title": "Sort By", "enum": [ "new", "top", "hot", "rising", "controversial" ], "type": "string", "description": "Sort posts by: New (latest), Top (highest score), Hot (trending), Rising (gaining traction), or Controversial (mixed votes)" }, "max_posts": { "title": "Max Posts", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of posts to get from the community" }, "max_comments": { "title": "Max Comments", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Maximum number of comments to get from each post" } } }, "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 } } } } } } } } } } ```