# Reddit Subreddit Posts Scraper (`receptional_blender/reddit-posts-harvester`) Actor

Harvest posts from any subreddit through Reddit's public JSON API — no login, key or OAuth. Pick the sort (hot/new/top/rising) and timeframe, set how many posts you want, and receive clean JSON with title, author, score, comments, flair, URL, thumbnail and more.

- **URL**: https://apify.com/receptional\_blender/reddit-posts-harvester.md
- **Developed by:** [Assia Fadli](https://apify.com/receptional_blender) (community)
- **Categories:** Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / 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 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

**Reddit Subreddit Posts Scraper** harvests posts from any subreddit using Reddit's public JSON
endpoints — **no login, no API key, no OAuth**. Point it at one subreddit or a whole list, choose
how to sort (hot / new / top / rising) and how many posts you want, and get back clean, structured
JSON ready for a spreadsheet, database or downstream workflow.

Built for marketers, researchers, analysts and developers who need reliable Reddit post data
without maintaining scraping infrastructure.

### What you get

For every post the actor collects, it writes one dataset row with a clean, stable shape:

| Field | Description |
| --- | --- |
| `subreddit` | The subreddit the post belongs to. |
| `id` | Reddit's post id. |
| `title` | Post title. |
| `author` | Username of the poster. |
| `score` | Net upvotes. |
| `comments` | Number of comments. |
| `url` | The post's outbound / content URL. |
| `permalink` | Full `https://www.reddit.com/...` link to the post. |
| `created` | Creation time as an ISO 8601 timestamp. |
| `selftext` | The post body (empty string for link posts). |
| `flair` | Link flair text, if any. |
| `nsfw` | Whether the post is marked over-18. |
| `upvoteRatio` | Fraction of votes that were upvotes. |
| `thumbnail` | A genuine image thumbnail URL, or `null`. |
| `domain` | Domain of the linked content. |

If a subreddit can't be scraped (empty, private, banned, quarantined, misspelled, or Reddit blocked
every attempt), the actor still writes a row — `{ "subreddit": "...", "error": "..." }` — so no
requested subreddit is ever silently dropped, and the run still finishes successfully.

### Input

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `subreddits` | array of strings | ✅ | Subreddits to harvest, with or without the `r/` prefix. |
| `sort` | string | — | One of `hot`, `new`, `top`, `rising`. Defaults to `hot`. |
| `timeframe` | string | — | Time window used for `top`: `hour`, `day`, `week`, `month`, `year`, `all`. Defaults to `week`. |
| `maxPosts` | integer | — | Max posts collected per subreddit. Defaults to `50`. |
| `proxyCountryCode` | string | — | Two-letter residential-proxy country code (e.g. `US`, `GB`, `DE`). Optional. |

#### Example input

```json
{
    "subreddits": ["programming", "webdev"],
    "sort": "top",
    "timeframe": "week",
    "maxPosts": 100
}
```

### How it works

For each subreddit the actor requests
`https://www.reddit.com/r/<sub>/<sort>.json?limit=100&t=<timeframe>&after=<cursor>` and reads
`data.children[].data`. It follows the `data.after` cursor to paginate automatically until
`maxPosts` posts are collected or Reddit returns no further cursor.

Reddit blocks requests that use the default (empty) User-Agent, so the actor uses
[`got-scraping`](https://github.com/apify/got-scraping), which sends a realistic browser User-Agent
and TLS fingerprint, and routes traffic through Apify's residential proxy. If a response looks like a
block page (HTML body, or HTTP 403/429), the request is retried through a fresh proxy IP and finally
as a direct request before an error row is recorded.

> **Note:** Running from a datacenter/home IP may be rate-limited or blocked by Reddit. Running on
> the Apify platform with the residential proxy enabled is the reliable way to use this actor.

### Pricing

This actor uses the **pay-per-event** model: you are charged once per post successfully delivered to
the dataset (`post-scraped`). Error rows are never charged, and the run stops automatically once your
event budget is reached.

### Running

1. Provide your `subreddits` list (and optionally `sort`, `timeframe`, `maxPosts`, `proxyCountryCode`).
2. Run the actor.
3. Collect results from the default dataset as JSON, CSV, Excel or via the API.

### Tech

Written in **TypeScript** on the Apify SDK. HTTP-only, so builds are fast and runs are cheap.

### License

MIT © Assia Fadli

# Actor input Schema

## `subreddits` (type: `array`):

One or more subreddits to harvest (with or without the 'r/' prefix). Each subreddit is fetched independently.

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

How to sort the posts within each subreddit.

## `timeframe` (type: `string`):

Time window used when Sort is set to 'Top'. Ignored for the other sorts.

## `maxPosts` (type: `integer`):

Maximum number of posts to collect for each subreddit. Reddit returns up to 100 posts per page; the actor paginates automatically until this limit is reached.

## `proxyCountryCode` (type: `string`):

Two-letter country code for the residential proxy (e.g. US, GB, DE). Leave empty to use any country.

## Actor input object example

```json
{
  "subreddits": [
    "technology",
    "science"
  ],
  "sort": "hot",
  "timeframe": "week",
  "maxPosts": 50,
  "proxyCountryCode": "US"
}
```

# 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 = {
    "subreddits": [
        "programming",
        "webdev"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("receptional_blender/reddit-posts-harvester").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 = { "subreddits": [
        "programming",
        "webdev",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("receptional_blender/reddit-posts-harvester").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 '{
  "subreddits": [
    "programming",
    "webdev"
  ]
}' |
apify call receptional_blender/reddit-posts-harvester --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=receptional_blender/reddit-posts-harvester",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/63x4sEQiMjPEUjpL6/builds/bM6p0y9ZHtKVjE7PS/openapi.json