Pricing

from $5.00 / 1,000 dataset rows

Reddit API Scraper

Scrape Reddit posts, comments, search results, subreddits, and user profiles via Reddit's OAuth data API. No login required.

Pricing

from $5.00 / 1,000 dataset rows

Rating

0.0

(0)

Developer

R.L.

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Social media

This Actor‘s pricing details are outlined in the table below. The unit prices you pay depend on your Apify subscription plan, with higher tiers offering better rates. Visit our pricing page to compare plans and see how much you can save.

Pricing	Free No discount	Starter Bronze discount	Scale Silver discount	Business Gold discount

Dataset row	$5.00 / 1,000	$5.00 / 1,000	$5.00 / 1,000	$5.00 / 1,000
Additional costs
Compute units (CU)	$0.20 / CU	$0.20 / CU	$0.16 / CU	$0.13 / CU
Actor RAM	16 GB	64 GB	256 GB	512 GB
Max concurrent runs	25	32	128	256
Rented Actors		Deducted from prepaid usage	Deducted from prepaid usage	Deducted from prepaid usage
Residential proxies	$8.00 / GB	$8.00 / GB	$7.50 / GB	$7.00 / GB
Datacenter proxies	5 IPs included	30 IPs included then $1.00 / IP	200 IPs included then $0.80 / IP	500 IPs included then $0.60 / IP
SERPs proxy	$2.50 / 1,000 SERPs	$2.50 / 1,000 SERPs	$2.00 / 1,000 SERPs	$1.70 / 1,000 SERPs

This Actor's pricing details are outlined in the table below. The unit prices you pay depend on your Apify subscription plan, with higher tiers offering better rates. Visit our pricing page to compare plans and see how much you can save.

Pricing

Dataset row Charged per row (post, comment, subreddit, or user) pushed to the dataset — $5.00 per 1,000 rows. Platform usage (compute + proxy) is billed on top.	$5.00 / 1,000
Additional costs
Platform usage Platform usage costs are tied to the Actor's performance in terms of the underlying platform resources it consumes. Learn more	Variable costs cheaper for higher plans.

Reddit API Scraper

comchat/reddit-api-scraper

Reddit Scraper is a powerful tool that allows you to extract data from Reddit such as posts by keyword. With Reddit Scraper, you can easily gather valuable information from Reddit without the need to log in. You can easily use this Reddit scraper as an alternative API.

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(6)

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ScrapAPI

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scrapier/reddit-api-scraper

Extract structured data from Reddit quickly and reliably with the Reddit API Scraper. Collect posts, comments, subreddit details, user profiles, upvotes, timestamps, and more using the official API. Ideal for research, monitoring trends, sentiment analysis, and building Reddit datasets at scale.

Scrapier

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fetch_cat/reddit-scraper

Collect public Reddit discussions from subreddits, users, searches, and threads. Built for analysts and AI workflows, with optional opt-in MCP connector delivery after results are saved.

Hanna Nosova

Cheapest Reddit Scraper API

scoutlayer/cheapest-reddit-scraper-api

Scrape Reddit subreddit posts, post details, comments, search results, and user profiles via the public JSON API. Supports pagination, multiple targets per run, and configurable sort orders.

ScoutLayer

5.0

(2)

Reddit Api Scraper

scraperx/reddit-api-scraper

ScraperX

Reddit Api Scraper

scrapemesh/reddit-api-scraper

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scrapeflow/reddit-api-scraper

ScrapeFlow

Reddit Api Scraper

scraper-engine/reddit-api-scraper

Extract posts, comments, subreddit data, and user insights from Reddit using the Reddit API Scraper. Collect titles, scores, authors, timestamps, and full discussions. Ideal for market research, sentiment analysis, trend monitoring, and building datasets from Reddit communities.

Scraper Engine

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scrapio/reddit-api-scraper

Extract structured Reddit data with the Reddit API Scraper. Collect posts, comments, usernames, upvotes, subreddit names, and timestamps directly through the Reddit API. Ideal for market research, sentiment analysis, and community monitoring.

Scrapio

Reddit API Scraper

simpleapi/reddit-api-scraper

Reddit API Scraper collects data from Reddit posts, comments, and subreddits using API-based extraction. Gather post titles, text, usernames, scores, timestamps, and engagement metrics to analyze trends, monitor discussions, or build datasets for research, marketing, and insights. 📊💬