# Reddit Subreddit Posts Scraper. No Login (`seemuapps/reddit-subreddit-posts-scraper`) Actor

Scrape posts from any public subreddit. Title, author, score, comment count, body text, link, flair, and timestamp. Filter by hot, new, top, rising, or controversial. No login.

- **URL**: https://apify.com/seemuapps/reddit-subreddit-posts-scraper.md
- **Developed by:** [Andrew](https://apify.com/seemuapps) (community)
- **Categories:** Social media, AI, Automation
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 reddit subreddit posts

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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 Subreddit Posts Scraper - No Login

Scrape posts from any public subreddit - title, author, score, comment count, body text, link, flair, and timestamp. Filter by Hot, New, Top, Rising, or Controversial. No login, no cookies.

### What you get

- Post ID, title, full body text (and HTML), author, and permalink
- Engagement: score, upvote ratio, comment count, awards count
- Listing sort: Hot, New, Top, Rising, Controversial - with Top/Controversial supporting Past Hour through All Time
- Flair, post hint, domain, thumbnail, NSFW / spoiler / stickied / locked flags
- Cursor-based pagination - fetch unlimited posts across multiple runs
- Direct export to JSON, CSV, Excel, or Google Sheets

### Use cases

- Track a community's most-discussed topics for content research
- Build a dataset for sentiment, trend, or topic analysis
- Monitor mentions of a brand, product, or competitor across subreddits
- Archive a subreddit's top posts for historical research
- Feed downstream LLM pipelines with current Reddit content

### How to use

1. Enter a **Subreddit** name (e.g. `programming`, `r/programming`, or a full URL)
2. Choose a **Sort** - Hot, New, Top, Rising, or Controversial
3. If using Top or Controversial, pick a **Time Filter** (Past Day, Past Week, etc.)
4. Set **Max Posts** (default 100; 0 for unlimited)
5. Run the actor - one post per row in the **Dataset** tab
6. To fetch the next page, open the **Key-value store** tab → copy the `NEXT_PAGE_ID` value → paste it into **Page ID** on your next run

### Output format

One post per dataset row - perfect for direct CSV, Excel, or Google Sheets export:

```json
{
  "id": "1abc234",
  "name": "t3_1abc234",
  "subreddit": "programming",
  "title": "Show HN: My new project",
  "author": "exampleuser",
  "permalink": "https://www.reddit.com/r/programming/comments/1abc234/show_hn_my_new_project/",
  "url": "https://example.com/project",
  "isSelf": false,
  "selftext": "",
  "score": 1234,
  "upvoteRatio": 0.94,
  "numComments": 87,
  "createdUtc": 1762900000,
  "createdAt": "2026-05-12T10:00:00.000Z",
  "linkFlairText": "Show HN",
  "postHint": "link",
  "domain": "example.com",
  "over18": false,
  "stickied": false,
  "locked": false,
  "isVideo": false
}
```

### Pagination

If the listing has more posts than **Max Posts** allows, the actor saves a resume cursor to the default **Key-value store** under the key `NEXT_PAGE_ID`.

1. Open the **Key-value store** tab on the run page
2. Copy the value of `NEXT_PAGE_ID`
3. Start a new run and paste it into **Page ID**

When `NEXT_PAGE_ID` is `null`, the listing has been fully scraped.

### Input options

| Field | Type | Description |
|-------|------|-------------|
| Subreddit | string | Subreddit name, with or without `r/` (required) |
| Sort | enum | Hot, New, Top, Rising, Controversial - default Hot |
| Time Filter | enum | Past Hour through All Time - only used by Top and Controversial |
| Max Posts | integer | Cap per run - default 100, 0 for unlimited |
| Page ID | string | `NEXT_PAGE_ID` from the previous run, to resume pagination |

# Actor input Schema

## `subreddit` (type: `string`):

Subreddit name (e.g. 'programming'), with or without leading r/. Full URLs (https://www.reddit.com/r/programming) are also accepted.

## `sort` (type: `string`):

Listing sort. 'Top' and 'Controversial' use the Time Filter window; the others ignore it.

## `timeFilter` (type: `string`):

Time window for 'Top' and 'Controversial' sorts. Ignored for other sorts.

## `maxItems` (type: `integer`):

Maximum posts to return. 0 = no cap (paginates until the listing is exhausted or the run times out).

## `pageId` (type: `string`):

Optional. Paste the NEXT\_PAGE\_ID from the previous run's Key-value store to resume paginating from where you left off.

## Actor input object example

```json
{
  "subreddit": "programming",
  "sort": "hot",
  "timeFilter": "day",
  "maxItems": 100
}
```

# Actor output Schema

## `results` (type: `string`):

One row per post: id, title, author, subreddit, permalink, url, selftext, score, upvoteRatio, numComments, createdUtc, createdAt, flair, isSelf, isVideo, over18, etc.

## `nextPageId` (type: `string`):

NEXT\_PAGE\_ID record in the default key-value store. Paste into Page ID on the next run to resume; null when the listing is exhausted.

# 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 = {
    "subreddit": "programming"
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/reddit-subreddit-posts-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 = { "subreddit": "programming" }

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/reddit-subreddit-posts-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "subreddit": "programming"
}' |
apify call seemuapps/reddit-subreddit-posts-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,seemuapps/reddit-subreddit-posts-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/t88EmnH2e2l5s2Z20/builds/7NuQMpE3ffJRY8rT0/openapi.json