# 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, 45+ fields per post, search, NSFW and monitoring mode. No login, no account, no API key. Independent tool, not affiliated with Reddit.

- **URL**: https://apify.com/scrapesage/reddit-scraper.md
- **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community)
- **Categories:** Social media, Lead generation, Agents
- **Features:** Limited permissions
- **Stats:** 32 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.75 / 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/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 Scraper - Posts, Comments, Subreddits & User Profiles (No Login)

> **Disclaimer:** This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Reddit, Inc. or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. "Reddit" is referenced only to describe the publicly available website this Actor collects data from.

Scrape **Reddit** at scale without an API key and without logging in. 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 Reddit account.** It reads what Reddit shows any logged-out visitor, keeps to Reddit's request limits and rotates residential IPs automatically.
- **Built for Reddit as it is today.** Reddit now sends logged-out visitors of old.reddit to a login page and walls its public `.json` and RSS feeds. This Actor reads the same public data Reddit's own website loads for logged-out visitors, so it keeps returning data while those feeds stay walled.
- **Richest record in class** - 45+ fields per post and 30+ per comment: score, **upvote ratio**, comment and crosspost counts, exact timestamps, edit time, link and author flair, NSFW / spoiler / stickied / locked / archived flags, image, gallery and video links, the subreddit's subscriber count, 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.** You pay for the records you receive; `[deleted]` and filtered-out records are never billed. From 19 October 2026 each run also carries Apify's standard run-start fee (amounts on the **Pricing** tab).

### 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 by subscribers 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, comment permalink, user, search, `/subreddits/search`, share links and `redd.it` short links. Auto-detected and routed. |
| `urlsFromFile` | Paste many URLs (one per line), or one link to a .txt/.csv file, Google Sheet or Drive file holding them. |
| `subreddits` | Subreddit names (e.g. `RealEstate`, `r/AskReddit`) to pull posts from. |
| `searches` | Keyword queries - returns posts (default) or communities. |
| `searchInSubreddit` | Optional - limit `searches` to one subreddit. |
| `usernames` | Reddit users - returns their profile (karma, cake day, followers) plus recent posts and comments. |
| `searchScope` | What `searches` returns: `posts` or `communities`. |
| `sort` / `time` | Order (`hot`/`new`/`top`/`rising`/`controversial`/`relevance`/`comments`) and the time window for top, controversial and search. |
| `maxItems` | Global cap across all record types. With several sources it is shared evenly, and a source that finds less passes its share on to the next. |
| `maxItemsPerSource` | Optional cap on posts (or communities / user items) per source. |
| `includeComments` / `maxCommentsPerPost` / `commentSort` | Pull comment threads for posts; how many and in what order. |
| `expandMoreComments` | Follow "load more comments" and "continue this thread" 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` | Include 18+ posts and communities (on by default). |
| `userSection` / `includeUserProfile` / `includeUserContent` | Which part of a user's history to read, and whether to output the profile record. |
| `monitorMode` / `monitorStoreName` | Return only records not seen in previous runs. |
| `proxyConfiguration` | Defaults to Apify **Residential**, which Reddit accepts. Reddit refuses Apify's datacenter IPs, so another Apify proxy group is switched to Residential automatically. |

#### 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": "1wx4uey",
  "fullId": "t3_1wx4uey",
  "subreddit": "RealEstate",
  "author": "example_poster",
  "score": 124,
  "createdAt": "2026-10-04T02:48:55.000Z",
  "text": "Seller wants to backtrack after tabling our first offer. We counter offer lower. Are we being fair?",
  "title": "Seller wants to backtrack after tabling our first offer. We counter offer lower. Are we being fair?",
  "subredditPrefixed": "r/RealEstate",
  "permalink": "https://www.reddit.com/r/RealEstate/comments/1wx4uey/seller_wants_to_backtrack_after_tabling_our_first/",
  "url": "https://www.reddit.com/r/RealEstate/comments/1wx4uey/seller_wants_to_backtrack_after_tabling_our_first/",
  "domain": "self.RealEstate",
  "isSelf": true,
  "upvoteRatio": 0.68,
  "numComments": 394,
  "numCrossposts": 0,
  "createdUtc": 1791082135,
  "isNSFW": false,
  "isStickied": false,
  "isLocked": false,
  "selfText": "10/2 Friday a house for 330k that was comming soon came up for sale and we immediately booked a showing with our agent for right after work...",
  "postHint": "self",
  "images": [],
  "subredditSubscribers": 2520037,
  "scrapedAt": "2026-10-04T16:30:04.358Z"
}
```

```json
{
  "type": "comment",
  "id": "pdqhvxk",
  "fullId": "t1_pdqhvxk",
  "subreddit": "RealEstate",
  "author": "example_user",
  "score": 480,
  "createdAt": "2026-10-04T02:58:26.000Z",
  "text": "I like your approach, my take is simple: If you’re ok with maybe losing the house, this could work to save you some money. If you love the house and will be heartbroken if you don’t get it, don’t play games.",
  "body": "I like your approach, my take is simple:\n\nIf you’re ok with maybe losing the house, this could work to save you some money.\n\nIf you love the house and will be heartbroken if you don’t get it, don’t play games.",
  "postId": "1wx4uey",
  "postTitle": "Seller wants to backtrack after tabling our first offer. We counter offer lower. Are we being fair?",
  "parentFullId": "t3_1wx4uey",
  "depth": 0,
  "isSubmitter": false,
  "isDeleted": false,
  "controversiality": 0,
  "permalink": "https://www.reddit.com/r/RealEstate/comments/1wx4uey/seller_wants_to_backtrack_after_tabling_our_first/pdqhvxk/"
}
```

Both examples come from a real run (usernames replaced); the full records carry every field listed in the dataset schema.

User records carry `postKarma`, `commentKarma`, `totalKarma`, `cakeDay`, `followers`, `profileDescription` and `iconUrl`; community records carry `name`, `title`, `subscribers`, `publicDescription`, `sidebar`, `createdAt`, `subredditType`, `submissionType`, `language`, `iconUrl` and `url`.

#### Fields that are only filled when they apply

Some values exist only on some records, so they are empty on the others - the scraper is not skipping them:

- `linkFlair` / `authorFlair` - only in subreddits that use flair.
- `selfText` - text posts only; `images` / `imageUrl` - image, gallery and link posts that have a preview; `videoUrl` - videos hosted on Reddit.
- `editedAt` - edited posts and comments only; `distinguished` - moderator and admin posts; `crosspostParentId` - crossposts only.
- `postType` (self, link, image, gallery, video or crosspost) is always filled; `postHint` is Reddit's own raw hint, which Reddit leaves out on most text posts and on many image and gallery posts.
- A comment's `score` is empty while Reddit hides it on new comments (`scoreHidden: true` says so).
- `depth` on comments read from a **user's profile** is 0 for a direct reply to the post and empty for deeper replies, because profile pages do not say how deep a reply sits. Comments read from a thread always carry their depth.
- Communities: `bannerUrl`, `iconUrl` and `advertiserCategory` only where the community set them. Users: `profileTitle` / `profileDescription` only where the user wrote them.

### How much does it cost to scrape Reddit?

This Actor uses Apify's **pay-per-event** pricing: you are charged for the results it delivers, with no monthly rental. The events it can charge are:

- **Result** - Each record (post, comment, community or user) written to the dataset.

From 19 October 2026 each run also charges once, at start:

- **Actor Start** - Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event; the default 1 GB run is charged once).

The current price of each event is shown on the **Pricing** tab of this page. Set a maximum total charge on the run if you want a hard cap on spend, and use the input limits to control how much the Actor fetches.

### 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.

### Agent-ready: autonomous payments (x402 & Skyfire)

This actor is **agent-ready**: AI agents can discover it, run it, and **pay for it autonomously**, with no Apify account and no human in the loop. It uses [pay-per-event](https://docs.apify.com/platform/actors/publishing/monetize/pay-per-event) pricing and [limited permissions](https://docs.apify.com/platform/actors/development/permissions), so it qualifies for Apify's agentic-payment standards:

- **[x402](https://docs.apify.com/platform/integrations/x402)**: an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp), with no account and no API key.
- **[Skyfire](https://docs.apify.com/platform/integrations/skyfire)**: agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

### 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

- **Keep the Residential proxy.** Reddit refuses Apify's datacenter IPs; residential sessions are what keep 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.
- **Big runs take minutes, not seconds.** Reddit allows about 100 data requests per 10 minutes per IP. The actor paces itself and moves to a fresh residential IP when one is used up, so a run with thousands of comment threads simply takes longer.
- **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 is shared evenly across them.

### FAQ

**Do I need a Reddit account or API key?** No. It reads what Reddit shows any logged-out visitor - no login, no app registration, no API key.

**Why residential proxy?** Reddit refuses Apify's datacenter IPs outright and walls its public `.json` and RSS feeds. Over residential IPs Reddit treats each session like an ordinary logged-out visitor: it answers a short verification check and then serves its public data. The actor does this automatically and starts a fresh session whenever one is refused or reaches Reddit's request limit. It never attempts a CAPTCHA.

**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" and "continue this thread" 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).

**Can it read private or quarantined subreddits?** No. Reddit shows those only to logged-in members, so they are skipped and the run's status message names them. The same goes for suspended users and deleted posts.

**A field is `null` - why?** Some values only exist on some records - flair only where a subreddit uses it, self-text only on text posts, images only on posts that have one. See **Fields that are only filled when they apply** above.

**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.

### Data & lawful use

This Actor reads only what Reddit publishes to logged-out visitors: it does not log in, create accounts, use anyone's credentials, or reach anything behind a sign-in. Like any logged-out browser, it accepts the anonymous visitor cookies and the anonymous visitor token Reddit issues to every visitor, because Reddit's public pages and data feeds answer only requests that carry them; they identify no person and are discarded when the run ends. Names, handles, bios and engagement figures are public, but they relate to identifiable people, so treat the output as personal data. If you are in the EU or UK you are the data controller for what you do with it: have a lawful basis (usually legitimate interest for research, marketing analytics or B2B prospecting), honour access and deletion requests, and do not use the output for spam or unsolicited messaging.

Under [Apify's Standard Actor Contract](https://docs.apify.com/legal/standard-actor-contract), which governs your use of this Actor, you are the controller of any personal data in your input and output and scrapesage acts only as your processor: that data is processed solely to run your job, written only to your own Apify storage, never used for any other purpose and never shared onward. If you need help with a data-subject request that involves this Actor's output, open an issue on the Issues tab.

### Disclaimer

**This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Reddit, Inc. or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.**

"Reddit" and any related marks are the property of their respective owners and are used here only in a descriptive, nominative sense - to identify the publicly accessible website from which this Actor collects data. This Actor is not an official Reddit product, is not authorised or certified by Reddit, Inc., and does not distribute Reddit software. It collects only publicly available information; you are responsible for ensuring your use of that data complies with applicable laws, regulations and the terms of the source website.

### 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 - a subreddit (https://www.reddit.com/r/RealEstate/), a post or comment link, a user profile (/user/spez/), a search results page, a /subreddits/search page, a mobile share link or a redd.it short link. 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. With several sources the cap is shared evenly, and a source that finds less passes its share on to the next. Listings paginate automatically until the 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 "load more comments" and "continue this thread" to pull deeper or collapsed replies (more requests, slower). Off = only the comments Reddit returns with the thread itself.

## `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 and communities. Turn off to exclude them.

## `skipAds` (type: `boolean`):

Skip promoted posts (ads). The Reddit data feeds this Actor reads carry no promoted posts, so none are ever returned; the setting is kept so existing inputs and tasks keep working.

## `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. With Sort = New, a run stops as soon as it reaches posts an earlier run already returned, so a check that finds nothing new stays small.

## `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 refuses Apify's datacenter IPs, so this Actor defaults to Apify Residential proxy and moves to a fresh residential IP whenever one is refused or reaches Reddit's request limit. If you choose another Apify proxy group, the run switches to Residential automatically after Reddit refuses it; your own proxy URLs are always used as given.

## `urlsFromFile` (type: `string`):

Paste a list of URLs (one per line), OR one link to a .txt/.csv file, Google Sheet or Google Drive file containing them. Lets you import many Start URLs at once instead of typing each. Google Sheet/Drive share links are handled automatically.

## 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"
    ]
  },
  "urlsFromFile": ""
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [],
    "subreddits": [
        "RealEstate"
    ],
    "searches": [],
    "usernames": [],
    "urlsFromFile": ""
};

// 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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "startUrls": [],
    "subreddits": ["RealEstate"],
    "searches": [],
    "usernames": [],
    "urlsFromFile": "",
}

# 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(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 '{
  "startUrls": [],
  "subreddits": [
    "RealEstate"
  ],
  "searches": [],
  "usernames": [],
  "urlsFromFile": ""
}' |
apify call scrapesage/reddit-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapesage/reddit-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 <APIFY_API_TOKEN>` 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/cOdg8eEUx7QrfNP8k/builds/YsNU6imBJLdTbNvp4/openapi.json