# Reddit Scraper - Posts, Comments, Subreddits & Users (`scrapesage/reddit-scraper`) Actor Scrape Reddit posts, comments, subreddits and user profiles by keyword or URL. Full comment threads, 40+ fields, search, NSFW and monitoring mode. No login, no API key, no browser. - **URL**: https://apify.com/scrapesage/reddit-scraper.md - **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community) - **Categories:** Social media, AI, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $3.00 / 1,000 results 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 Scraper — Posts, Comments, Subreddits & User Profiles (No Login) Scrape **Reddit** at scale without an API key, without login, and without a browser. Pull **posts, full comment threads, subreddit feeds, keyword search results, communities and user profiles** into clean, structured JSON — by URL or by keyword — with **monitoring mode** so scheduled runs only return what's new. Built for market research, **AI / LLM training data**, brand & reputation monitoring, sentiment analysis, social selling and trend discovery. ### Why this Reddit scraper? - **No login, no API key, no rate-limit headaches.** Reddit's public API is gated and throttled; this actor reads the public site directly and rotates IPs automatically. - **Reliable where others fail.** Reddit hard-blocks the old `.json` endpoints that most scrapers depend on. This actor uses the fully server-rendered site over residential proxies, so it keeps returning data when cheaper tools return errors. - **Richest record in class** — 40+ fields per post and per comment: score, comment count, exact timestamps, flair, NSFW/spoiler/stickied flags, domain, author, permalinks, full comment depth and parent/child relationships. - **Clean data, no junk** — `[deleted]` / `[removed]` / empty comments are filtered out by default, and **you are never charged for them**. Every record also carries a unified `text` column (post title, comment body, community description or user summary) so the default **Overview** view is fully populated at a glance — no half-empty rows. - **Everything in one actor** — posts, comments, subreddits, search, communities and users. No need to chain five different scrapers. - **Monitoring mode** — remember what you've already pulled and return only *new* posts/comments on the next run. Perfect with [Schedules](https://docs.apify.com/platform/schedules). - **Pay per result, no start fee.** You only pay for the records you actually receive. ### Use cases - **AI & LLM training data** — harvest high-signal discussions and Q&A threads from any subreddit. - **Brand & product monitoring** — track every new mention of your brand, product or competitor across Reddit. - **Market & customer research** — mine real opinions, pain points and buying questions in niche communities. - **Sentiment & trend analysis** — feed posts and comments into your NLP pipeline. - **Social selling / lead discovery** — find people actively asking for recommendations in your space. - **Community & influencer analysis** — profile subreddits and prolific users by karma and activity. ### How to use 1. Tell the actor **what to scrape** — paste Reddit **Start URLs** (subreddit, post, user or search pages), and/or list **subreddits**, **search keywords** or **usernames**. 2. Set **Sort**, **Time range** and **Max items**. 3. (Optional) Turn on **Include comments** to pull comment threads for every post, and **Monitoring mode** for new-only runs. 4. Run it. Download the dataset as JSON, CSV, Excel, or push it anywhere via API and integrations. ### Input | Field | Description | |---|---| | `startUrls` | Any Reddit URLs — subreddit, post/comments, user, search or `/subreddits/search`. Auto-detected and routed. | | `subreddits` | Subreddit names (e.g. `RealEstate`, `r/AskReddit`) to pull posts from. | | `searches` | Keyword queries — returns posts (default) or communities. | | `usernames` | Reddit users — returns their profile (karma, cake day) plus recent posts and comments. | | `searchScope` | What `searches` returns: `posts` or `communities`. | | `sort` / `time` | Order (`hot`/`new`/`top`/`rising`/`controversial`/`relevance`) and time window for top. | | `maxItems` | Global cap across all record types. | | `includeComments` / `maxCommentsPerPost` / `commentSort` | Pull comment threads for posts; how many and in what order. | | `expandMoreComments` | Follow "load more comments" links for deeper threads. | | `includeDeletedComments` | Off by default — skip (and never charge for) `[deleted]`/`[removed]`/empty comments. Turn on to keep them with an `isDeleted` flag. | | `onlyPostsNewerThan` | Keep only fresh items — ISO date or `"7 days"`, `"24 hours"`, etc. | | `includeNSFW` / `skipAds` | Include 18+ content; skip promoted posts. | | `monitorMode` / `monitorStoreName` | Return only records not seen in previous runs. | | `proxyConfiguration` | Defaults to Apify **Residential** (strongly recommended for Reddit). | #### Example input ```json { "subreddits": ["RealEstate", "FirstTimeHomeBuyer"], "sort": "top", "time": "week", "maxItems": 500, "includeComments": true, "maxCommentsPerPost": 30, "commentSort": "top" } ```` ### Output Every row carries a `type` (`post`, `comment`, `community` or `user`) and a unified **`text`** column holding its main content (post title, comment body, community description, or a user's karma summary). The dataset opens on a single **Overview** table where every row reads as full regardless of type — then switch to the focused **Posts / Comments / Communities / Users** views for type-specific columns. ```json { "type": "post", "id": "1ucvvkb", "fullId": "t3_1ucvvkb", "subreddit": "RealEstate", "author": "throwaway_homebuyer", "score": 41, "createdAt": "2026-06-22T20:35:40.000Z", "text": "Attorney won't finish house escrow closing, asking for more money (NY)", "title": "Attorney won't finish house escrow closing, asking for more money (NY)", "subredditPrefixed": "r/RealEstate", "permalink": "https://www.reddit.com/r/RealEstate/comments/1ucvvkb/...", "url": "https://www.reddit.com/r/RealEstate/comments/1ucvvkb/...", "domain": "self.RealEstate", "isSelf": true, "linkFlair": "Financing", "numComments": 117, "createdUtc": 1750624540, "isNSFW": false, "isSpoiler": false, "isStickied": false, "selfText": "We're closing on a house in NY and our attorney...", "scrapedAt": "2026-06-23T00:00:00.000Z" } ``` ```json { "type": "comment", "id": "ot74y68", "fullId": "t1_ot74y68", "subreddit": "RealEstate", "author": "real_estate_atty", "score": 28, "createdAt": "2026-06-22T20:55:40.000Z", "text": "It doesn't sound like the addendum was written in a way which...", "body": "It doesn't sound like the addendum was written in a way which...", "postId": "1ucvvkb", "postTitle": "Attorney won't finish house escrow closing, asking for more money (NY)", "parentFullId": "t3_1ucvvkb", "depth": 0, "isSubmitter": false, "isDeleted": false, "permalink": "https://www.reddit.com/r/RealEstate/comments/1ucvvkb/.../ot74y68/" } ``` User records carry `postKarma`, `commentKarma`, `totalKarma` and `cakeDay`; community records carry `name`, `title`, `publicDescription` and `url`. ### Automate & schedule Run this actor on autopilot and pull results into your own stack: - **[Apify API](https://docs.apify.com/api/v2)** — start runs, fetch datasets, and manage schedules over REST. - **[apify-client for JavaScript](https://docs.apify.com/api/client/js/)** and **[apify-client for Python](https://docs.apify.com/api/client/python/)** — official SDKs. - **[Schedules](https://docs.apify.com/platform/schedules)** — run it hourly/daily with **monitoring mode** to capture only new posts and comments in a subreddit or for a keyword; perfect for brand monitoring and fresh AI data. - **[Webhooks](https://docs.apify.com/platform/integrations/webhooks)** — trigger downstream actions (Slack alert, database insert, AI summary) the moment a run finishes. ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' }); const run = await client.actor('scrapesage/reddit-scraper').call({ searches: ['best CRM for small business'], searchScope: 'posts', sort: 'new', maxItems: 300, includeComments: true, maxCommentsPerPost: 25, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(`Got ${items.length} Reddit records`); ``` ### Integrate with any app Connect the dataset to 5,000+ apps — no code required: - **[Make](https://docs.apify.com/platform/integrations/make)** — multi-step automation scenarios. - **[Zapier](https://docs.apify.com/platform/integrations/zapier)** — push new mentions straight into Slack, Sheets or your CRM. - **[Slack](https://docs.apify.com/platform/integrations/slack)** — get pinged when a monitored subreddit or keyword gets new posts. - **[Google Drive / Sheets](https://docs.apify.com/platform/integrations/drive)** — auto-export every run to a spreadsheet. - **[Airbyte](https://docs.apify.com/platform/integrations/airbyte)** — pipe results into your data warehouse. - **[GitHub](https://docs.apify.com/platform/integrations/github)** — trigger runs from commits or releases. ### Use with AI assistants (MCP) The output is clean, LLM-ready JSON. Call this actor from Claude, ChatGPT, or any agent framework through the **[Apify MCP server](https://docs.apify.com/platform/integrations/mcp)** — ask your assistant to "find the top posts about mortgage rates in r/RealEstate this week with their comments" and let it run this scraper for you. ### More scrapers from scrapesage Build a complete **social, content & sentiment-data stack**: - **[YouTube Scraper](https://apify.com/scrapesage/youtube-scraper)** — videos, channels, stats and comments. - **[Threads Scraper](https://apify.com/scrapesage/threads-scraper)** — posts and profiles from Meta's Threads. - **[Bluesky Scraper](https://apify.com/scrapesage/bluesky-scraper)** — posts and profiles from Bluesky. - **[Telegram Scraper](https://apify.com/scrapesage/telegram-scraper)** — public channel messages and members. - **[Twitch Scraper](https://apify.com/scrapesage/twitch-scraper)** — streams, channels and clips. - **[Substack Scraper](https://apify.com/scrapesage/substack-scraper)** — newsletters, posts and authors. - **[Google News Scraper](https://apify.com/scrapesage/google-news-scraper)** — news articles by topic and query. - **[Website Contact Scraper](https://apify.com/scrapesage/website-contact-scraper)** — emails, phones and socials from any site. ### Tips - **Use Residential proxy.** Reddit blocks datacenter IPs — the default Residential setting is what keeps this actor reliable. - **Fresh-only feeds.** Combine `monitorMode` + a [Schedule](https://docs.apify.com/platform/schedules) + `onlyPostsNewerThan` to capture only new posts/comments each run, without re-paying for old data. - **Comments cost extra requests.** Leave `includeComments` off for a fast posts-only pass; turn it on (with a sensible `maxCommentsPerPost`) when you need the discussion. - **No junk by default.** `[deleted]`/`[removed]`/empty comments are skipped (and not billed), so `maxCommentsPerPost` fills up with real content. Flip `includeDeletedComments` on only if you need the thread's deleted placeholders for structure/analysis. - **Cover a topic fully.** Add several `subreddits` and `searches` in one run — the global `maxItems` cap spreads across them. ### FAQ **Do I need a Reddit account or API key?** No. This actor reads publicly available pages — no login, no app registration, no API key. **Why residential proxy?** Reddit blocks datacenter IPs and its public `.json` API. The actor reads the rendered public site over residential IPs, which is the reliable path; it rotates IPs automatically on any block. **Can I get full comment threads?** Yes. Use a post URL (or `includeComments` on a subreddit/search) with `maxCommentsPerPost`, and turn on `expandMoreComments` to follow "load more comments" for deep threads. Each comment includes its `depth` and `parentFullId` so you can rebuild the tree. **How do I only get new posts over time?** Turn on `monitorMode` and run on a [Schedule](https://docs.apify.com/platform/schedules) — each run returns only records not seen before. **Can I export to Google Sheets, CSV, or Excel?** Yes — one click in the dataset view, or automatically on every run via the [Google Drive integration](https://docs.apify.com/platform/integrations/drive). **A field is `null` — why?** Some values genuinely aren't published on a given page (e.g. a hidden comment score, or a community's subscriber count, which Reddit renders only client-side). Fields are `null` when the data isn't in the page, not because the scraper skipped them. **Is scraping Reddit legal?** This actor collects publicly available data only. You are responsible for using the data in compliance with applicable laws (GDPR/CCPA for personal data) and Reddit's terms. ### Need help? Open an issue on the actor's **Issues** tab, or visit the [Apify help center](https://help.apify.com/). Feature requests are welcome — this actor is actively maintained. # Actor input Schema ## `startUrls` (type: `array`): Paste any Reddit URLs — subreddit (https://www.reddit.com/r/RealEstate/), a specific post/comments page, a user profile (/user/spez/), a search results page, or a /subreddits/search page. Each URL is auto-detected and routed. One per row. ## `subreddits` (type: `array`): Subreddit names to scrape posts from — e.g. "RealEstate", "r/AskReddit". Uses the Sort + Time settings below. One per row. ## `searches` (type: `array`): Keyword queries to search Reddit. Returns posts (default) or communities depending on "Search returns" below. One query per row — e.g. "best CRM", "moving to Austin". ## `usernames` (type: `array`): Reddit usernames to scrape — e.g. "spez", "u/someuser". Returns the user's profile (karma, cake day) plus their recent posts and comments. One per row. ## `searchScope` (type: `string`): What the "Search keywords" queries should return: posts, or communities (subreddits). ## `searchInSubreddit` (type: `string`): Optional. Limit "Search keywords" to a single subreddit (e.g. "RealEstate"). Leave empty to search all of Reddit. ## `sort` (type: `string`): Order of results. Subreddits: hot/new/top/rising/controversial. Search: relevance/new/top/comments (hot/rising fall back to relevance). ## `time` (type: `string`): Time window when sorting by Top or Controversial. ## `maxItems` (type: `integer`): Cap on total records (posts + comments + communities + users) across the whole run. Listings paginate automatically until this cap is reached. ## `maxItemsPerSource` (type: `integer`): Optional per-source cap (per subreddit / search / user). 0 = no per-source limit (only the global Max items applies). ## `includeComments` (type: `boolean`): For every post scraped from a subreddit/search/user, also open it and output its comment thread (type `comment`). Adds one request per post. A post/comments URL in Start URLs always returns its comments regardless of this toggle. ## `maxCommentsPerPost` (type: `integer`): How many comments to output per post (top of the thread first). Set 0 to skip comments entirely on post URLs. ## `commentSort` (type: `string`): How to order comments within a thread. ## `expandMoreComments` (type: `boolean`): Follow the "load more comments" links to pull deeper/collapsed replies (more requests, slower). Off = only the comments rendered on the main thread page. ## `includeDeletedComments` (type: `boolean`): Off (default, recommended): skip comments whose content was deleted by the user or removed by a moderator — i.e. body "\[deleted]", "\[removed]" or empty. These have no usable text and you are never charged for them, so your comment count is filled only with real content. On: include them as `comment` records carrying an `isDeleted` flag. ## `onlyPostsNewerThan` (type: `string`): Keep only posts/comments newer than this. Accepts an ISO date (2026-06-01) or a relative window like "7 days", "24 hours", "3 months". Great with monitoring mode for fresh-only pulls. ## `includeNSFW` (type: `boolean`): Include NSFW (over-18) posts. Turn off to exclude them. ## `skipAds` (type: `boolean`): Skip promoted/advertised posts so you only get organic content. ## `includeUserProfile` (type: `boolean`): For username sources, output a `user` record with post/comment karma and cake day in addition to their content. ## `includeUserContent` (type: `boolean`): For username sources, output the user's recent posts and comments. Turn off to get only the profile record. ## `userSection` (type: `string`): Which part of a user's history to scrape. ## `deduplicate` (type: `boolean`): Skip a record already emitted in this run (by id) — useful when sources overlap. ## `monitorMode` (type: `boolean`): Remember ids already returned and emit ONLY records not seen in previous runs. Pairs with Apify Schedules to track new posts/comments over time without re-paying for old data. ## `monitorStoreName` (type: `string`): Named key-value store that holds the 'already seen' ids for monitoring mode. Use a different name per tracked job to keep their histories separate. Lowercase letters, digits and hyphens only. ## `maxConcurrency` (type: `integer`): Maximum parallel requests when fetching comment threads. Lower it if you see transient blocks; raise it for speed. ## `proxyConfiguration` (type: `object`): Proxy settings. Reddit blocks datacenter IPs, so this actor defaults to Apify Residential proxy (blocked requests retry automatically on a fresh IP). Residential is strongly recommended. ## Actor input object example ```json { "startUrls": [], "subreddits": [ "RealEstate" ], "searches": [], "usernames": [], "searchScope": "posts", "sort": "hot", "time": "all", "maxItems": 50, "maxItemsPerSource": 0, "includeComments": false, "maxCommentsPerPost": 50, "commentSort": "confidence", "expandMoreComments": false, "includeDeletedComments": false, "includeNSFW": true, "skipAds": true, "includeUserProfile": true, "includeUserContent": true, "userSection": "overview", "deduplicate": true, "monitorMode": false, "monitorStoreName": "reddit-scraper-monitor", "maxConcurrency": 4, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): All scraped records in the default dataset — posts, comments, communities and user profiles with their full field set. # 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 = { "startUrls": [], "subreddits": [ "RealEstate" ], "searches": [], "usernames": [] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapesage/reddit-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 = { "startUrls": [], "subreddits": ["RealEstate"], "searches": [], "usernames": [], } # Run the Actor and wait for it to finish run = client.actor("scrapesage/reddit-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 '{ "startUrls": [], "subreddits": [ "RealEstate" ], "searches": [], "usernames": [] }' | apify call scrapesage/reddit-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapesage/reddit-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Scraper - Posts, Comments, Subreddits & Users", "description": "Scrape Reddit posts, comments, subreddits and user profiles by keyword or URL. Full comment threads, 40+ fields, search, NSFW and monitoring mode. No login, no API key, no browser.", "version": "0.1", "x-build-id": "HiuQjf6elN2jjXtzK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapesage~reddit-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapesage-reddit-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/scrapesage~reddit-scraper/runs": { "post": { "operationId": "runs-sync-scrapesage-reddit-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/scrapesage~reddit-scraper/run-sync": { "post": { "operationId": "run-sync-scrapesage-reddit-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", "properties": { "startUrls": { "title": "Start URLs (any Reddit URL)", "type": "array", "description": "Paste any Reddit URLs — subreddit (https://www.reddit.com/r/RealEstate/), a specific post/comments page, a user profile (/user/spez/), a search results page, or a /subreddits/search page. Each URL is auto-detected and routed. One per row.", "items": { "type": "string" } }, "subreddits": { "title": "Subreddits", "type": "array", "description": "Subreddit names to scrape posts from — e.g. \"RealEstate\", \"r/AskReddit\". Uses the Sort + Time settings below. One per row.", "items": { "type": "string" } }, "searches": { "title": "Search keywords", "type": "array", "description": "Keyword queries to search Reddit. Returns posts (default) or communities depending on \"Search returns\" below. One query per row — e.g. \"best CRM\", \"moving to Austin\".", "items": { "type": "string" } }, "usernames": { "title": "Usernames", "type": "array", "description": "Reddit usernames to scrape — e.g. \"spez\", \"u/someuser\". Returns the user's profile (karma, cake day) plus their recent posts and comments. One per row.", "items": { "type": "string" } }, "searchScope": { "title": "Search returns", "enum": [ "posts", "communities" ], "type": "string", "description": "What the \"Search keywords\" queries should return: posts, or communities (subreddits).", "default": "posts" }, "searchInSubreddit": { "title": "Restrict search to subreddit", "type": "string", "description": "Optional. Limit \"Search keywords\" to a single subreddit (e.g. \"RealEstate\"). Leave empty to search all of Reddit." }, "sort": { "title": "Sort", "enum": [ "hot", "new", "top", "rising", "controversial", "relevance", "comments" ], "type": "string", "description": "Order of results. Subreddits: hot/new/top/rising/controversial. Search: relevance/new/top/comments (hot/rising fall back to relevance).", "default": "hot" }, "time": { "title": "Time range (for Top / Controversial)", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Time window when sorting by Top or Controversial.", "default": "all" }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 5000000, "type": "integer", "description": "Cap on total records (posts + comments + communities + users) across the whole run. Listings paginate automatically until this cap is reached.", "default": 50 }, "maxItemsPerSource": { "title": "Max items per source", "minimum": 0, "maximum": 1000000, "type": "integer", "description": "Optional per-source cap (per subreddit / search / user). 0 = no per-source limit (only the global Max items applies).", "default": 0 }, "includeComments": { "title": "Include comments for posts", "type": "boolean", "description": "For every post scraped from a subreddit/search/user, also open it and output its comment thread (type `comment`). Adds one request per post. A post/comments URL in Start URLs always returns its comments regardless of this toggle.", "default": false }, "maxCommentsPerPost": { "title": "Max comments per post", "minimum": 0, "maximum": 100000, "type": "integer", "description": "How many comments to output per post (top of the thread first). Set 0 to skip comments entirely on post URLs.", "default": 50 }, "commentSort": { "title": "Comment sort", "enum": [ "confidence", "top", "new", "controversial", "old", "qa" ], "type": "string", "description": "How to order comments within a thread.", "default": "confidence" }, "expandMoreComments": { "title": "Expand \"load more comments\"", "type": "boolean", "description": "Follow the \"load more comments\" links to pull deeper/collapsed replies (more requests, slower). Off = only the comments rendered on the main thread page.", "default": false }, "includeDeletedComments": { "title": "Include deleted / removed comments", "type": "boolean", "description": "Off (default, recommended): skip comments whose content was deleted by the user or removed by a moderator — i.e. body \"[deleted]\", \"[removed]\" or empty. These have no usable text and you are never charged for them, so your comment count is filled only with real content. On: include them as `comment` records carrying an `isDeleted` flag.", "default": false }, "onlyPostsNewerThan": { "title": "Only posts newer than", "type": "string", "description": "Keep only posts/comments newer than this. Accepts an ISO date (2026-06-01) or a relative window like \"7 days\", \"24 hours\", \"3 months\". Great with monitoring mode for fresh-only pulls." }, "includeNSFW": { "title": "Include NSFW / 18+", "type": "boolean", "description": "Include NSFW (over-18) posts. Turn off to exclude them.", "default": true }, "skipAds": { "title": "Skip promoted posts (ads)", "type": "boolean", "description": "Skip promoted/advertised posts so you only get organic content.", "default": true }, "includeUserProfile": { "title": "Include user profile record", "type": "boolean", "description": "For username sources, output a `user` record with post/comment karma and cake day in addition to their content.", "default": true }, "includeUserContent": { "title": "Include user posts & comments", "type": "boolean", "description": "For username sources, output the user's recent posts and comments. Turn off to get only the profile record.", "default": true }, "userSection": { "title": "User content section", "enum": [ "overview", "submitted", "comments" ], "type": "string", "description": "Which part of a user's history to scrape.", "default": "overview" }, "deduplicate": { "title": "Deduplicate", "type": "boolean", "description": "Skip a record already emitted in this run (by id) — useful when sources overlap.", "default": true }, "monitorMode": { "title": "Monitoring mode — only new records", "type": "boolean", "description": "Remember ids already returned and emit ONLY records not seen in previous runs. Pairs with Apify Schedules to track new posts/comments over time without re-paying for old data.", "default": false }, "monitorStoreName": { "title": "Monitor store name", "type": "string", "description": "Named key-value store that holds the 'already seen' ids for monitoring mode. Use a different name per tracked job to keep their histories separate. Lowercase letters, digits and hyphens only.", "default": "reddit-scraper-monitor" }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 12, "type": "integer", "description": "Maximum parallel requests when fetching comment threads. Lower it if you see transient blocks; raise it for speed.", "default": 4 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Reddit blocks datacenter IPs, so this actor defaults to Apify Residential proxy (blocked requests retry automatically on a fresh IP). Residential is strongly recommended.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```