Reddit Posts Scraper

Scrapes Reddit posts and comments by searching Google with site:reddit.com queries. No Reddit API key needed. Outputs structured post data including title, score, upvote ratio, comments, and top-level replies.

What it does

This Actor bypasses Reddit's restrictive API by leveraging Google search with site:reddit.com queries. For each keyword, it finds the top Reddit posts via Google, then navigates to each Reddit page using Playwright to extract the full post data — title, author, score, upvote ratio, comment count, subreddit, flair, and a configurable number of top-level comments. No Reddit API credentials required.

Use cases

• Community sentiment analysis — understand what real people say about your product or brand
• Trend & product discovery — mine subreddit discussions for emerging products and ideas
• Brand monitoring — track mentions across Reddit communities
• Content research — find popular topics, pain points, and frequently asked questions
• Competitive intelligence — read honest user reviews and product recommendations

Input

Field	Type	Required	Default	Description
keywords	array	Yes	—	Search keywords — each triggers a site:reddit.com Google search
maxPostsPerKeyword	integer	No	10	Max Reddit posts per keyword (1–100)
maxTopComments	integer	No	10	Max top-level comments per post (0–50)
proxyConfiguration	object	No	No proxy	Apify Proxy — recommended to avoid Google rate limiting

Example input

{
  "keywords": ["trends 2025", "best laptops 2024"],
  "maxPostsPerKeyword": 10,
  "maxTopComments": 5
}

Output

Each Reddit post is pushed as a separate record to the Apify dataset.

Field	Type	Description
keyword	string	The search keyword that found this post
subreddit	string	Subreddit name (e.g. "r/laptops")
title	string	Post title
author	string	Post author (e.g. "u/techreviewer")
score	number	Post score (upvotes − downvotes)
upvoteRatio	number	Upvote ratio (0.0–1.0)
numComments	number	Total comment count
createdUtc	string	Post creation date (UTC)
flair	string	Post flair/tag
url	string	Full post URL
permalink	string	Reddit permalink path
topComments	array	Top-level comment texts
extracted_at	string	ISO 8601 date-time of extraction

Example output

{
  "keyword": "best laptops 2024",
  "subreddit": "r/laptops",
  "title": "What are the best laptops for programming in 2024?",
  "author": "u/techreviewer",
  "score": 1842,
  "upvoteRatio": 0.96,
  "numComments": 432,
  "createdUtc": "2024-11-15T08:30:00Z",
  "flair": "Discussion",
  "url": "https://www.reddit.com/r/laptops/comments/abc123",
  "permalink": "/r/laptops/comments/abc123/what_are_the_best_laptops",
  "topComments": [
    "ThinkPad X1 Carbon is unbeatable for dev work",
    "MacBook Pro M3 if you can afford it",
    "Framework Laptop 16 for repairability",
    "Dell XPS 15 still going strong",
    "Check out the ASUS Zenbook 14 OLED"
  ],
  "extracted_at": "2026-03-06T14:30:00.000Z"
}

How to run

On Apify Platform

1. Go to the Actor's page on Apify Console
2. Enter your search keywords and configure limits
3. Click Start and wait for the run to finish
4. Download results from the Dataset tab in JSON, CSV, or Excel format

Locally

$apify run

Deploy to Apify

apify login
apify push

Built with

• Apify SDK — actor framework and dataset management
• Playwright — browser automation for Google search and Reddit page scraping