# Reddit Best of Top Posts Archive Scraper (`rainminer/reddit-best-of-posts-scraper`) Actor

Export Reddit Best of top posts archive across the platform for a calendar year, month, or day. Filter by language. Get rank, title, subreddit, upvotes, comments, and thumbnails as JSON or CSV. No Reddit login. Schedule runs or plug into n8n, Make, and Zapier. $1.99/1k posts.

- **URL**: https://apify.com/rainminer/reddit-best-of-posts-scraper.md
- **Developed by:** [rainminer](https://apify.com/rainminer) (community)
- **Categories:** Social media, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.49 / 1,000 best of 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/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 Best of](https://www.redditstatic.com/desktop2x/img/favicon/android-icon-192x192.png)

### What does Reddit Best of Calendar Top Posts Scraper do?

**Reddit Best of Calendar Top Posts Scraper** extracts **platform-wide top posts** from Reddit's public [Best of](https://www.reddit.com/posts/2026/global/) archive. It ranks posts **across all subreddits** for a real **calendar year, month, or day**, with language tabs (German, English, Spanish, and more). Paste an archive URL — or set year / month / day / language — and export rank, title, subreddit, upvotes, comments, timestamps, and thumbnails as JSON, CSV, or Excel. No Reddit login or API key.

This is **not** a rolling `t=year` subreddit feed and **not** r/popular. Best of is Reddit's own calendar ranking (for example 7 January 2026 in German).

### What can this Reddit Best of scraper do?

- **Calendar windows** — Year, month, or a single day, not the last 365 rolling days.
- **Language slices** — All (`global`), German, English, Spanish, Filipino, French, Hindi, Italian, Dutch, Polish, Portuguese, Romanian, Swedish, Thai.
- **Cross-subreddit ranking** — See what performed on the whole platform, not one community.
- **Structured fields** — Rank, post id, title, URL, subreddit, score, comment count, created time, spoiler flag, thumbnail.
- **Apify platform** — Schedule daily pulls, export JSON/CSV/Excel, call the Actor via API, or connect n8n, Make, and Zapier.

### Why scrape Reddit Best of posts?

Use cases for **Reddit top posts by date** and **Best of Reddit** data:

1. **Trend research** — See which stories actually won a given day or month, not a rolling window that mixes old and new posts.
2. **Newsroom monitoring** — Track German, Spanish, or French viral posts that English dashboards miss.
3. **Brand and crisis watch** — Capture high-score threads that mention a product, politician, or city on a specific date.
4. **Content ideation** — Mine titles and thumbnails that already proved they can rank platform-wide.
5. **Social listening** — Build a historical corpus of top posts by language for NLP and topic models.
6. **Competitor media analysis** — Compare which subreddits dominate Best of in a market (for example r/de vs r/Austria).
7. **Academic / market research** — Reproducible calendar slices for papers and reports.
8. **Newsletter and roundup bots** — Automate “top Reddit posts this week in Italian” without a custom crawler.
9. **Ad and influencer scouting** — Find communities that repeatedly land on Best of.
10. **Moderation and trust & safety research** — Study spoiler-tagged or high-comment outliers on peak days.
11. **SEO and culture desks** — Map which topics Google and Reddit both amplify in a language.
12. **Dataset building** — Export clean JSON for RAG, classification, or internal dashboards.

### What data can you extract from Reddit Best of?

| Field | Description |
| --- | --- |
| rank | Position on the Best of page (1 = top) |
| id | Reddit post id |
| title | Post title |
| url | Public post URL |
| subreddit | Community name |
| subredditUrl | Community URL |
| createdAt | Post timestamp |
| score | Upvote score |
| numComments | Comment count |
| imageUrl | Thumbnail when Reddit shows one |
| isSpoiler | Spoiler tag |
| language | Archive language code (`de`, `en`, `global`, …) |
| year / month / day | Calendar period of the archive page |
| periodType | `year`, `month`, or `day` |
| sourceUrl | Archive URL that produced the row |

You can download the dataset in JSON, HTML, CSV, or Excel from the Actor run.

### How to scrape Reddit top posts by day, month, or year

1. Open **Reddit Best of Calendar Top Posts Scraper** in Apify Console.
2. Add **Best of archive URLs** under **Start URLs**, or set **Year** (optional **Month**, **Day**, **Language**).
3. Set **Maximum items** (posts per start URL). Default 5 is a cheap test; each archive page lists up to 250 posts.
4. Click **Start** and download results from the dataset tab.

Example URLs:

- Year (German): `https://www.reddit.com/posts/2026/de`
- Month (German): `https://www.reddit.com/posts/2026/january/de/`
- Day (German): `https://www.reddit.com/posts/2026/january-7-1/de/`
- All languages: `https://www.reddit.com/posts/2026/global/`

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

This Actor uses **pay-per-event** pricing. You are charged a small start fee plus **one event per saved post** (`result-item`). The Apify free plan is enough for a test run of a few posts. Scale to hundreds of calendar pages with a paid plan. Exact Store prices are on the Actor's **Pricing** tab.

Keep `maxItems` at 3–5 while you try the Actor. Year, month, and day pages are separate rankings — scrape only the window you need.

### Input

See the **Input** tab. Main fields:

- **Start URLs** — Best of pages under `reddit.com/posts/{year}/…`
- **Year / Month / Day / Language** — Optional builders when you do not want to paste URLs
- **Maximum items** — Cap per archive URL
- **Proxy configuration** — Optional; the public archive usually works without a proxy

### Output example

```json
{
  "id": "1qg8oit",
  "rank": 1,
  "title": "Ich bin Samuel, 21, leide an ME/CFS und in 12 Tagen sterbe ich.",
  "url": "https://www.reddit.com/r/Austria/comments/1qg8oit/ich_bin_samuel_21_leide_an_mecfs_und_in_12_tagen/",
  "subreddit": "Austria",
  "score": 21000,
  "numComments": 1600,
  "language": "de",
  "year": 2026,
  "month": null,
  "day": null,
  "periodType": "year"
}
```

### Tips

- Use a **day** URL for a specific calendar date; month and year pages rank independently.
- `global` is the **All** language tab.
- Combine several start URLs (for example English year + German January) — `maxItems` applies **per URL**.
- Schedule a monthly run on the current year archive to keep a living “Best of” feed.

### FAQ

#### Is this the same as scraping r/all or r/popular?

No. Those feeds are live or rolling. This Actor reads Reddit's **Best of** archive for a named year, month, or day, including language tabs.

#### Do I need a Reddit API key or login?

No. Only public Best of pages are used.

#### Is it legal to scrape Reddit Best of?

The Actor only reads **public** archive pages. Results can include usernames and post text that people chose to share. Personal data is protected by GDPR and other laws. Scrape only with a legitimate purpose, respect Reddit's terms, and get legal advice if you are unsure.

#### How many posts are on each page?

A Best of archive page typically lists up to **250** ranked posts. There is no extra pagination on that page.

#### Other rainminer Actors

If you also need **Google Maps reviews**, **menus**, or other social extractors, browse [rainminer on Apify Store](https://apify.com/rainminer).

#### Support

Open the **Issues** tab on this Actor if something breaks. Feature requests (more languages, extra fields) are welcome.

### Image Credit

Image credit: [reddit.com](https://www.reddit.com/)

# Actor input Schema

## `startUrls` (type: `array`):

Best of Reddit archive URLs such as https://www.reddit.com/posts/2026/de (year), https://www.reddit.com/posts/2026/january/de/ (month), or https://www.reddit.com/posts/2026/january-7-1/de/ (day).

## `year` (type: `integer`):

Calendar year for a Best of archive page. Used when Start URLs are empty, or added alongside them.

## `month` (type: `string`):

Optional month slug (january–december). Requires Year. Leave empty for the full-year archive.

## `day` (type: `integer`):

Optional day of month (1–31). Requires Year and Month. Builds a calendar-day archive URL.

## `language` (type: `string`):

Best of language tab. Use global for All languages.

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

Maximum number of posts to return per start URL.

## `proxyConfiguration` (type: `object`):

Optional proxy. Defaults to no proxy.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.reddit.com/posts/2026/de"
    },
    {
      "url": "https://www.reddit.com/posts/2026/january/de/"
    },
    {
      "url": "https://www.reddit.com/posts/2026/january-7-1/de/"
    }
  ],
  "month": "",
  "language": "global",
  "maxItems": 5,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# 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": [
        {
            "url": "https://www.reddit.com/posts/2026/de"
        },
        {
            "url": "https://www.reddit.com/posts/2026/january/de/"
        },
        {
            "url": "https://www.reddit.com/posts/2026/january-7-1/de/"
        }
    ],
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("rainminer/reddit-best-of-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 = {
    "startUrls": [
        { "url": "https://www.reddit.com/posts/2026/de" },
        { "url": "https://www.reddit.com/posts/2026/january/de/" },
        { "url": "https://www.reddit.com/posts/2026/january-7-1/de/" },
    ],
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("rainminer/reddit-best-of-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 '{
  "startUrls": [
    {
      "url": "https://www.reddit.com/posts/2026/de"
    },
    {
      "url": "https://www.reddit.com/posts/2026/january/de/"
    },
    {
      "url": "https://www.reddit.com/posts/2026/january-7-1/de/"
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call rainminer/reddit-best-of-posts-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,rainminer/reddit-best-of-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/oo9XveZESOqNmg5jp/builds/hAJG6gfefdbF2OzeP/openapi.json