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Reddit Scraper icon

Reddit Scraper

Scrape Reddit posts and comments from any subreddit or user profile. Sort by top/hot/new, filter by score, get clean text. No key or login needed.

5 from 2 reviews on Apify 103 runs on Apify $0.0005 per Reddit post ($0.5 / 1,000)
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Social Media Scrapers

How it works

  1. 1
    Open it on Apify

    Hit Run on Apify — it opens the tool in the cloud, no install.

  2. 2
    Set the inputs

    Adjust sources, subreddits, users (sensible defaults are pre-filled).

  3. 3
    Click Run

    The tool runs on Apify’s cloud and collects the data for you.

  4. 4
    Export the results

    Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.

Pricing

$0.0005 per Reddit post = $0.5 per 1,000

You are charged forWhenPrice
Reddit post scrapedOne Reddit post in the dataset.$0.0005
Actor StartCharged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).$0.001

Pay-per-event pricing: you are billed per result, not per subscription — a run that returns nothing costs nothing beyond the start fee. Billing is handled by Apify on your own account. These are the live Apify store prices, in effect since 2026-08-04, and they are what you are actually charged.

Inputs

FieldWhat it doesType
sourcesAny mix of subreddits and Reddit user profiles. Accepts: 'askreddit', 'r/tifu', 'u/GallowBoob', 'user/spez', or a full reddit.com URL. Works for ANY subreddit or profile — not limited to AITA.array
subredditsOptional alternative to 'sources' — plain subreddit names. Merged with 'sources'.array
usersOptional — Reddit usernames to scrape submissions from (without u/). Merged with 'sources'.array
methodrss = no key/login needed (recommended, default). oauth = use Reddit app creds below (adds score/comments). json = legacy anonymous API (often blocked).string
sorttop, hot (trending), new (latest), rising, or controversial.string
timeTime window for 'top' and 'controversial' sorts (ignored for hot/new/rising). E.g. top of all time, top this year, top this week.string
maxPostsPerSubredditHow many qualifying stories to return per subreddit.integer
minScoreSkip posts below this upvote count.integer
minWordsSkip stories shorter than this (too thin for a short).integer
maxWordsSkip stories longer than this (won't fit a 30–90s short).integer
minHookScoreFilter out weak openers. 0 = keep all.integer
requireStoryKeep only self/text-post stories (skip link/image posts) and apply the word-count fit. Off by default = return ALL posts. Turn on for faceless story videos.boolean
includeNsfwInclude posts marked over-18. Off by default.boolean
cleanTextStrip markdown/links/edit-stamps and produce TTS-ready sentences. Turn off for raw text.boolean
rawModeOutput the complete raw Reddit post object instead of the shaped record.boolean
dedupeAcrossRunsRemember post IDs between runs so you never get the same story twice.boolean
commentLimitFetch up to this many top comments per post (0 = none). Reliable when you add Reddit app credentials below; anonymous Reddit usually blocks comment access.integer
redditClientIdOptional. The default RSS method needs no login. Add a free 'script' app's client ID (reddit.com/prefs/apps) only if you want upvote score + comment counts (not exposed via RSS).string
redditClientSecretThe secret for your Reddit app (reddit.com/prefs/apps).string

What you get

A structured dataset — each result includes fields like:

authorcreatedUtcfetchedAtfitsShortflairhookScoreidisStorynarrationnumCommentsover18postTypereadTimeSecondsscoresubreddittitleselftextfetchedCommentCounturl

Export every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.

20 ready-to-run use cases

Reddit Q&A Dataset for LLM Fine-Tuning & RAG

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Reddit Relationship Stories for Faceless Videos

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WSB Ticker Mentions & Sentiment Tracker

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Crypto Subreddit Coin Sentiment & Hype Tracker

Daily hot posts across r/CryptoCurrency, r/solana and r/ethfinance reveal coin mentions, sentiment shifts and early hype so you spot the move first.

Spot Emerging Trends Early in Niche Subreddits

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Top Posts of All Time From Any Subreddit

The all-time top posts of any subreddit, exported as a clean dataset for discourse analysis, data journalism and content benchmarking. Researcher-ready.

r/AskReddit Stories for TikTok & Shorts Clips

Top weekly r/AskReddit, r/tifu and r/confession story answers, hook-scored and clip-trimmed for fast-paced TikTok and YouTube Shorts content.

Reddit Job & Gig Post Monitor (r/forhire, hiring)

Recruiters and freelancers catch every new gig and job post across r/forhire, r/hiring and r/freelance, de-duplicated daily, to reach out first.

Reddit Buyer-Intent Leads in r/SaaS & r/marketing

Fresh r/SaaS, r/marketing and r/Entrepreneur threads where people ask which tool or agency to use, compiled into a daily buyer-intent lead list.

Reddit Brand & Competitor Mention Monitoring

Social listening for Reddit: track every new post mentioning your brand or competitors across tech subs, daily, to catch reputation issues early.

Mine r/SaaS for Complaints & Feature Gaps

Upvoted r/SaaS and product-community threads full of complaints, feature requests and wishlist replies about a tool, sourced to feed your product roadmap.

Reddit 'Alternatives To X' Competitive Intel

Which rival wins the deal and why? Surface 'alternatives to [product]' threads across SaaS and software subs to learn exactly why buyers switch.

Reddit Content Ideas & SEO Questions by Niche

Pull the top upvoted questions from any niche subreddit, mapped to content gaps and blog ideas your audience is actually asking about right now. For SEO teams.

Reddit Product Recommendations Before You Buy

Recommendation threads from r/BuyItForLife, r/HeadphoneAdvice and r/SkincareAddiction, ranked to show the products Reddit actually recommends in a niche.

Supplement Sentiment in r/Supplements & Nootropics

Experience posts and discussion from r/Supplements, r/Nootropics and r/Biohackers, mined to track sentiment on ingredients and supplement brands.

Scrape r/AITA Stories for Faceless YouTube Videos

Self-post AITA stories sized for a 30-90s short, cleaned and TTS-ready. Word-count filtered so nothing overruns the voiceover on faceless YouTube videos.

Top Weekly r/wallstreetbets Posts Scraper

The highest-voted r/wallstreetbets posts from the past week, showing which tickers and plays the sub is hyping right now. For traders watching WSB.

Scrape a Reddit User's Posts by Username

A single Reddit account's submissions, newest first, pulled from any u/ username or profile URL. Account-level post history for research and OSINT.

r/AskReddit Top Threads Plus Comments Scraper

The day's top r/AskReddit questions with their top comments, fetched via Reddit app credentials for full thread data. Posts and replies together.

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Reddit Scraper

Pulls posts from any subreddit or user profile without an API key or login. Point it at a list of sources, pick a sort and time window, and you get back full post data including the body text (selftext), with optional cleaned, TTS-ready narration. Built for people batching Reddit content: short-form video scripts, research datasets, content monitoring.

How it works

Reddit hard-blocks the anonymous .json API but still serves Atom RSS feeds from separate infrastructure that isn't rate-limited the same way, so the default rss method reads those feeds and parses them into structured records. RSS doesn't expose upvote scores or comments, so if you need those, add free Reddit "script" app credentials and the actor switches to the authenticated OAuth endpoint for that data.

Input

Nothing is strictly required. If you pass no sources, the actor falls back to its prefilled examples. The fields you'll actually touch:

FieldRequiredNotes
sourcesnoArray of subreddits and/or user profiles. Accepts tifu, r/tifu, u/spez, user/spez, or a full reddit.com URL. Mixed lists are fine.
sortnoOne of top, hot, new, rising, controversial. Defaults to top.
timenoTime window for top and controversial: hour, day, week, month, year, all. Ignored for the other sorts. Defaults to day.
maxPostsPerSubredditnoHow many posts to return per source. Defaults to 10, max 100.
methodnorss (default, no login), oauth (uses the creds below, adds scores/comments), or json (legacy anonymous API, usually blocked).
cleanTextnoStrips markdown, links, and edit stamps to produce narration sentences. On by default. Turn it off for raw text.
requireStorynoKeep only text posts and apply the word-count fit. Off by default, which returns all post types.
commentLimitnoTop comments to fetch per post. Needs Reddit app creds to be reliable; anonymous comment access is usually blocked. Defaults to 0.
redditClientId / redditClientSecretnoFree "script" app credentials from reddit.com/prefs/apps. Only needed for comments and upvote scores.
minScore, minWords, maxWords, minHookScore, includeNsfw, dedupeAcrossRunsnoFilters and run-to-run dedupe. Sensible defaults; leave them alone unless you're filtering for short-form fit.
proxyConfigurationnoRotating Apify datacenter addresses by default. The RSS feeds work from most IPs, so a proxy is not mandatory for small runs. Metered groups (RESIDENTIAL, GOOGLE_SERP) are not offered and are swapped for datacenter automatically; your own custom proxy URLs are used exactly as given.

Output

Each post is one dataset item. Alongside the metadata you get selftext (the full post body) and, when cleanText is on, a narration field plus ttsSegments split into sentences ready to hand to a text-to-speech step.

Key fields: id, subreddit, title, url, author, score, numComments, createdUtc, over18, selftext, postType, narration, ttsSegments, wordCount, readTimeSeconds, hookScore, fitsShort. When commentLimit is set, a comments array (author, body, score, depth) and fetchedCommentCount are added. Set rawMode if you'd rather have the unshaped Reddit post object.

Example

{
  "sources": ["r/tifu", "r/AskReddit", "u/GallowBoob"],
  "sort": "top",
  "time": "week",
  "maxPostsPerSubreddit": 25,
  "cleanText": true
}

Pricing

$0.50 per 1,000 rows ($0.0005 each), plus $0.001 each time a run starts. Flat rate — no volume tiers, no plan gates, no subscription — and you are charged only for rows actually returned.

Sources that return nothing, blocked feeds and no-result runs never incur the per-row fee, so a run that finds no posts costs only the $0.001 start fee. Pulling 25 posts from each of four subreddits in one run costs $0.051 all-in.

Notes

Scores and comments are not in the RSS feed. If you need them, create a free script app at reddit.com/prefs/apps and pass redditClientId and redditClientSecret. Anonymous comment fetching is mostly blocked by Reddit and will usually come back empty.