# Reddit Trending Posts Scraper (`scrapers_lat/reddit-trending-scraper`) Actor
Extract trending Reddit posts across r/popular and r/all, optionally by country, with rank, full text, scores and engagement.
- **URL**: https://apify.com/scrapers\_lat/reddit-trending-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Social media, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $10.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
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
[](https://console.apify.com/actors/aMGb79jBfEeD4hw1B/input)
## Reddit Trending Posts Scraper
> Pull what is trending across all of Reddit right now from r/popular and r/all, optionally by country, with rank, full text, scores and engagement.
31 fields per post
r/popular + r/all cross-Reddit
JSON / CSV / Excel output formats
Updated 2026-06-28
### What you get
One record per trending post, ranked in feed order, with the full text of self posts plus every engagement and classification field Reddit exposes. See what the whole platform is talking about, globally or for a specific country.
- **rank**: 1-based position in the trending feed
- **trendingSource**: which feed it came from (for example `popular:US` or `all`)
- **title**: the post title
- **selftext\***: the full text body of a self/text post
- **url**: the external link a post points to (link posts)
- **id**: the Reddit post id (without the t3_ prefix)
- **subreddit**: the community the post is in
- **author**, **authorFullname**: the poster's username and Reddit id
- **score**: net upvotes
- **upvoteRatio\***: share of votes that are upvotes (0 to 1)
- **numComments**: comment count
- **numCrossposts**: how many times the post was crossposted
- **totalAwards**: number of awards on the post
- **linkFlairText**: the post's flair label, when set
- **permalink**: the canonical reddit.com link to the post
- **domain**: the source domain (`self.` for text posts)
- **isSelf**, **isVideo**, **isNsfw**, **isSpoiler**, **isOriginalContent**: content flags
- **isPinned**, **isLocked**, **isArchived**: moderation flags
- **edited\***: timestamp when the post was edited, or false
- **thumbnail**: the post thumbnail image, when present
- **galleryImageUrls\***: array of image URLs for gallery posts
- **createdAt**: when the post was submitted
- **observedAt**: when this post was last seen by the scraper
*\*These fields only appear when Fetch Full Post Text is set to true.*
### How it works
| Input | What it does |
|---|---|
| `source` | Read r/popular (curated, SFW) or r/all (everything). |
| `country` | Optional country code for the r/popular geo feed (US, GB, CA, AU, DE, IN, BR, MX and more). |
| `sort` | Order by hot, top, rising or new. |
| `timeFilter` | Time window for the top sort. |
| `withDetails` | Open each post for full self text, upvote ratio and gallery images. |
| `maxItems` | Cap the number of trending posts collected. |
### Use cases
| Use case | Who it is for |
|---|---|
| Trend and viral content detection | Newsrooms and content teams |
| Daily trending digests by country | Marketers and analysts |
| Social and meme monitoring | Growth and brand teams |
| Training and evaluation datasets | ML and NLP engineers |
| Market and culture research | Researchers |
### Frequently Asked Questions
**What is the difference between r/popular and r/all?**
r/popular is Reddit's curated, advertiser-friendly trending feed with some communities filtered out. r/all is the raw firehose of everything reaching the front page. Pick `source` to choose.
**Can I get trends for a specific country?**
Yes. Set `country` (for example `GB` or `BR`) to read the geo-filtered r/popular feed for that region. Leave it empty for the global feed.
**What is the rank field?**
`rank` is the post's 1-based position in the trending feed at the moment it was scraped, so you can reconstruct the exact ordering.
**Does it return the full post text?**
With Fetch Full Post Text enabled, every self/text post carries its complete `selftext` body. Link posts have no body text, so the external `url` is populated instead.
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Reddit r/all Top Today](https://apify.com/scrapers_lat/reddit-trending-scraper/examples/reddit-all-top-today): Collect the top posts across all of Reddit today from r/all with rank, title, subreddit, score and comments.
- [Reddit Trending in the United Kingdom](https://apify.com/scrapers_lat/reddit-trending-scraper/examples/reddit-trending-united-kingdom): Pull the trending Reddit posts in the United Kingdom from r/popular with rank, title, subreddit and score.
- [Reddit Trending in the United States](https://apify.com/scrapers_lat/reddit-trending-scraper/examples/reddit-trending-united-states): Scrape the trending Reddit posts in the United States from r/popular with rank, title, subreddit and score.
### Related scrapers
Need data from the same space? Here are other scrapers we build and maintain:
- [Reddit Posts Scraper](https://apify.com/scrapers_lat/reddit-posts-scraper): Extract Reddit posts with full text, scores, awards and gallery images from any subreddit, search query or post URL.
- [Reddit Comments Scraper](https://apify.com/scrapers_lat/reddit-comments-scraper): Extract Reddit comment threads with full text, scores, author and nesting depth from any post.
- [Reddit Posts & Comments Scraper](https://apify.com/scrapers_lat/reddit-scraper): Extract Reddit posts and comments from subreddits and search results using the public Reddit feeds.
- [X (Twitter) Profiles & Tweets Scraper](https://apify.com/scrapers_lat/x-twitter-scraper): Extract public X (Twitter) tweets by tweet ID: text, author, likes, replies, media and timestamps.
- [Instagram Profile & Posts Scraper](https://apify.com/scrapers_lat/instagram-scraper): Extract public Instagram profiles and recent posts by username without login.
- [YouTube Scraper](https://apify.com/scrapers_lat/youtube-scraper): Scrape YouTube videos and channels by search query, video URL or channel URL.
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for Latin American and US public platforms: real estate, jobs, e-commerce, company registries and government data. Browse the full catalog, see live sample output for each one, or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Reddit, Inc. It only accesses data that is publicly available on Reddit. Use it in accordance with Reddit's terms of service.
# Actor input Schema
## `source` (type: `string`):
Which cross-Reddit trending feed to read: r/popular (curated, SFW) or r/all (everything).
## `country` (type: `string`):
Optional. Country code for the r/popular geo feed (for example US, GB, CA, AU, DE, IN, BR, MX). Leave empty for the global feed. Applies to r/popular only.
## `sort` (type: `string`):
Trending order.
## `timeFilter` (type: `string`):
Time window for the 'top' sort. Ignored for hot, rising and new.
## `withDetails` (type: `boolean`):
When enabled, opens each post to capture its full self text, upvote ratio and gallery images. Disable for a faster, listing-only run.
## `maxItems` (type: `integer`):
Maximum number of trending posts to collect.
## `proxyConfiguration` (type: `object`):
Proxy settings. Reddit blocks datacenter ranges, so the Apify Residential proxy is required and set as the default.
## Actor input object example
```json
{
"source": "popular",
"sort": "hot",
"timeFilter": "day",
"withDetails": true,
"maxItems": 25,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
]
}
}
````
# Actor output Schema
## `results` (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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxItems": 25
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/reddit-trending-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 = { "maxItems": 25 }
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/reddit-trending-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 '{
"maxItems": 25
}' |
apify call scrapers_lat/reddit-trending-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/reddit-trending-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Reddit Trending Posts Scraper",
"description": "Extract trending Reddit posts across r/popular and r/all, optionally by country, with rank, full text, scores and engagement.",
"version": "0.1",
"x-build-id": "gHj3NPLMxs3KRaWqu"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~reddit-trending-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-reddit-trending-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~reddit-trending-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-reddit-trending-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~reddit-trending-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-reddit-trending-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"required": [
"proxyConfiguration"
],
"properties": {
"source": {
"title": "Source",
"enum": [
"popular",
"all"
],
"type": "string",
"description": "Which cross-Reddit trending feed to read: r/popular (curated, SFW) or r/all (everything).",
"default": "popular"
},
"country": {
"title": "Country",
"type": "string",
"description": "Optional. Country code for the r/popular geo feed (for example US, GB, CA, AU, DE, IN, BR, MX). Leave empty for the global feed. Applies to r/popular only."
},
"sort": {
"title": "Sort",
"enum": [
"hot",
"top",
"rising",
"new"
],
"type": "string",
"description": "Trending order.",
"default": "hot"
},
"timeFilter": {
"title": "Time Range",
"enum": [
"hour",
"day",
"week",
"month",
"year",
"all"
],
"type": "string",
"description": "Time window for the 'top' sort. Ignored for hot, rising and new.",
"default": "day"
},
"withDetails": {
"title": "Fetch Full Post Text",
"type": "boolean",
"description": "When enabled, opens each post to capture its full self text, upvote ratio and gallery images. Disable for a faster, listing-only run.",
"default": true
},
"maxItems": {
"title": "Max Items",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of trending posts to collect."
},
"proxyConfiguration": {
"title": "Proxy Configuration",
"type": "object",
"description": "Proxy settings. Reddit blocks datacenter ranges, so the Apify Residential proxy is required and set as the default.",
"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
}
}
}
}
}
}
}
}
}
}
```