Reddit Feed Scraper — Popular, Games & News
Under maintenancePricing
from $1.40 / 1,000 results
Reddit Feed Scraper — Popular, Games & News
Under maintenanceCollect posts from Reddit's Home, Popular, Games, or News feeds. Choose the feed at run time, paginate automatically, and export structured front-page content and engagement data.
Pricing
from $1.40 / 1,000 results
Rating
0.0
(0)
Developer
ToolzerHub
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
7 days ago
Last modified
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Collect posts from Reddit's Home, Popular, Games, or News front-page feeds.
Reddit Feeds Scraper is the ToolzerHub tool for trend-watching across Reddit's own front-page surfaces instead of a single subreddit. Pick a feed type at run time and it paginates through that feed's posts up to your result cap.
Feed type chosen at run time drives the request
Choose Home, Popular, Games, or News as the feed type, pick a sort mode, and set Max Results to bound the run.
Collect a front-page feed
Choose a feed type (Home, Popular, Games, or News), a sort mode, and set Max Results.
| Field | Type | Required | Description |
|---|---|---|---|
feed_type | string | No | Which Reddit front-page feed to collect. |
sort | string | No | Sort order for the feed or listing. |
maxItems | integer | No | Maximum number of items to save. Set 0 for no limit. |
Example front-page pull
{"feed_type": "popular","sort": "HOT","maxItems": 50}
A front-page feed built for trend-watching
📝 Post identity
| Field | Type | Description |
|---|---|---|
post_id | string | Reddit post ID. |
title | string | Post or subreddit title when available. |
author | string | Username of the post or comment author. |
subreddit | string | Subreddit display name the item belongs to. |
📊 Engagement signals
| Field | Type | Description |
|---|---|---|
created_at | string | Creation timestamp reported by the source payload. |
score | number | Net score (upvotes minus downvotes) when available. |
num_comments | number | Number of comments on the post when available. |
Front-page preview
{"post_id": "t3_1uw2gep","title": "Cats being cats","author": "Turbulent_Nerve3744","subreddit": "pics","score": 1250}
Cost of a front-page pull
This Actor uses Apify pay-per-result pricing. You are charged for successful dataset results according to the Actor pricing shown on the Apify Pricing tab.
Apify's free credits may cover small test runs and up to the free result allowance configured for the Actor.
Use Max Results to bound a run before scaling to larger subreddits, users, or query lists.
Responsible feed-data use
This Actor extracts publicly available Reddit content. It should not be used to collect private user data. Make sure your use case complies with applicable privacy laws, Reddit's terms, and your own legal obligations. If you are unsure, consult a qualified lawyer.
Run this Actor from code
Python
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_API_TOKEN")run = client.actor("toolzerhub/reddit-feed-scraper").call(run_input={"feed_type": "popular","sort": "HOT","maxItems": 50})for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item)
Node.js
import { ApifyClient } from "apify-client";const client = new ApifyClient({ token: "YOUR_APIFY_API_TOKEN" });const run = await client.actor("toolzerhub/reddit-feed-scraper").call({"feed_type": "popular","sort": "HOT","maxItems": 50});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(items);
Zoom into one subreddit or search by keyword instead
- Reddit Subreddit Posts Scraper — Bulk Export — Collect posts from any subreddit by Best, Hot, New, Top, or Rising. Paginate automatically, choose a maximum result count, and optionally enrich every item with complete post details.
- Reddit Search Scraper — Posts, Users & More — Search Reddit by keyword across posts, users, subreddits, or comments. Choose the result type, paginate automatically, and export structured search results for research and monitoring.
- Reddit Post Scraper — Details by URL or ID — Fetch complete Reddit post records by post ID or permalink URL, or batch multiple comma-separated post IDs in one run. Export structured post, author, content, and engagement data.
ToolzerHub support
Use the Issues tab on the Actor page for bug reports, missing fields, and feature requests.
Contact: contact@toolzerhub.com
