Reddit Scraper: Posts, Comments, Search & Monitoring

What does Reddit Scraper do?

Reddit Scraper gets posts and full comment threads from subreddits, Reddit search, user profiles and post links, as JSON, CSV or Excel: titles, text, authors, scores, upvote ratios, comment counts, flair, images, galleries, videos and links, plus every comment with its reply level and parent. Sort subreddits by hot, new, top or rising, search all of Reddit or inside chosen subreddits, and turn on Only new posts to get just the posts published since your last run.

No Reddit account, no API key and no app registration. The Actor reads Reddit the way a logged-out visitor's browser does.

Why use this Reddit scraper?

• Whole comment trees. The Actor follows every "load more comments" and "more replies" link, so nested replies arrive with their depth and parentId. In our test on 20 hot threads of r/personalfinance it saved 1,854 comments down to reply level 10, and the parent of every reply was in the data.
• Past Reddit's 1,000-post wall. Reddit ends every listing after about 1,000 posts. Ask for more and the Actor goes on through the subreddit's other listings (top of all time, of the year, month and week, then new, hot and more), skipping posts it already has. Our test read 1,200 different r/AskReddit posts in one run.
• Full posts from search too. Search results come with the post text, flair, upvote ratio, media and links, the same fields as subreddit posts, not just titles.
• Monitoring built in. Only new posts remembers what each input returned before. Scheduled runs save and charge only posts you have not seen.
• Fast. 1,500 posts from three subreddits took 38 seconds in our tests; 1,200 posts from one subreddit took 60 seconds.
• Proxies included. Reddit refuses datacenter and cloud IPs, so the Actor uses Apify residential proxies by default and keeps the traffic small (about 3 KB per result). You pay only the price per result.
• Never charges a row twice. A restarted run skips rows it already saved, and the run stops exactly at the maximum cost you set.

Typical uses: brand and product mentions, market and audience research, finding leads who ask for a tool like yours, sentiment and topic analysis, collecting discussion data for AI and search pipelines, and tracking new posts in the communities you care about.

What data can you get from Reddit?

Every row has type: post or comment.

Field	Description
id, url, permalink	Reddit's id of the post or comment and its link
subreddit	Community name (u_<name> for posts on a user's profile)
title, text	Post title and body text (plain text, paragraphs kept); comment text
author	Username of the poster or commenter ([deleted] when the account is gone)
createdAt, scrapedAt	When it was posted and when it was saved (ISO 8601, UTC)
score, upvoteRatio, numComments	Votes, share of upvotes (posts) and number of comments (posts)
flair	Post flair, such as "Discussion" or "News"
postType, domain, linkUrl	Reddit's post kind (text, multi_media for text with pictures, link, image, gallery, video); the linked site and page
images, videoUrl, thumbnailUrl	Full-size images (galleries in order), the video stream and a preview image
isNSFW, isSpoiler, isStickied, isLocked, isArchived, isCrosspost	Post flags
awardCount	Awards, when Reddit shows them
postId, parentId, depth	Comments: the post, the comment replied to (the post's id for top-level comments) and the reply level (0 for top level)
isSubmitter, postTitle	Comments: whether the post's author wrote it, and the post's title
sourceType, sourceInput	Which input found the row: subreddit, search, user or post, and the input itself

How to scrape Reddit

1. Open the Actor and add subreddits (names like technology or links like https://www.reddit.com/r/technology/top/?t=week), search queries, post links or users. Mix them freely.
2. Pick the subreddit sort (new, hot, top, rising or controversial) and, for top, the time window. For search, pick the sort and time window, and optionally the subreddits to search in.
3. Set Max posts per source. Optionally set Only posts newer than a date or a span such as 7 days.
4. Tick Include comments for comment threads, and set Max comments per post and Max reply depth.
5. For monitoring, tick Only new posts and add a schedule.
6. Click Start, then download the results as JSON, CSV, Excel or HTML, or read them through the API.

How much does it cost to scrape Reddit?

The Actor uses pay per event pricing, so you pay for results saved, not for server time or proxies:

• Post or comment: $1.00 per 1,000 on Apify's free plan.
• Paid Apify plans pay less: $0.80 per 1,000 on Starter, $0.60 on Scale and $0.50 on Business.
• Each run also has a start fee of $0.002.

Example: 1,000 posts cost about $1.00. 100 posts with up to 50 comments each is at most 5,100 results, so about $5.10. Watching 10 subreddits every hour with Only new posts, at about 5 new posts per subreddit per hour, is about 36,000 posts a month: $36 plus $1.44 in start fees on the free plan, $18 on Business. Posts skipped by Only new posts are free, and you can set a maximum cost per run in the run options; the Actor stops cleanly when it reaches it. Apify's free plan includes $5 of monthly credit, enough for about 5,000 results a month.

Input

See the Input tab for every option. A typical input:

{
    "subreddits": ["personalfinance", "https://www.reddit.com/r/investing/top/?t=week"],
    "sort": "hot",
    "searchQueries": ["index fund"],
    "searchSubreddits": ["personalfinance"],
    "searchSort": "new",
    "maxPostsPerSource": 100,
    "newerThan": "7 days",
    "includeComments": true,
    "maxCommentsPerPost": 200,
    "maxCommentDepth": 10
}

A user's posts and comments, or single posts by link:

{
    "users": ["spez"],
    "userContent": "both",
    "postUrls": [
        "https://www.reddit.com/r/Python/comments/1x5caxn/jazzband_is_shutting_down/",
        "https://redd.it/1x8k0nn"
    ],
    "includeComments": true
}

For monitoring:

{
    "subreddits": ["news"],
    "sort": "new",
    "maxPostsPerSource": 100,
    "onlyNewPosts": true
}

Output

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. Three real results: a text post and one of its comments read from a post link, and an image post found by search. Long text is shortened with "...".

[
    {
        "type": "post",
        "id": "1x5caxn",
        "url": "https://www.reddit.com/r/Python/comments/1x5caxn/jazzband_is_shutting_down/",
        "permalink": "/r/Python/comments/1x5caxn/jazzband_is_shutting_down/",
        "subreddit": "Python",
        "title": "Jazzband is shutting down",
        "text": "Jazzband was a collaborative community to share the responsibility of maintaining Python-based projects. And after 10 years of operation it is shutting down. The shutdown was announced in March and will continue later this year.\n\nOver 10 years ago, I started Jazzband as a cooperative experiment to reduce the stress of maintaining Open Source software...",
        "author": "nicholashairs",
        "createdAt": "2026-10-13T23:40:04.455Z",
        "score": 188,
        "upvoteRatio": 0.9607843137254902,
        "numComments": 23,
        "flair": "News",
        "isNSFW": false,
        "isSpoiler": false,
        "isStickied": false,
        "isLocked": false,
        "isArchived": false,
        "isCrosspost": false,
        "postType": "text",
        "domain": "self.Python",
        "linkUrl": null,
        "images": [],
        "videoUrl": null,
        "thumbnailUrl": null,
        "awardCount": null,
        "sourceType": "post",
        "sourceInput": "https://www.reddit.com/r/Python/comments/1x5caxn/jazzband_is_shutting_down/",
        "scrapedAt": "2026-10-18T06:45:23.647Z"
    },
    {
        "type": "comment",
        "id": "pgsta53",
        "postId": "1x5caxn",
        "parentId": "pgnjq4c",
        "depth": 1,
        "author": "nicholashairs",
        "text": "The Django Commons group seems like it's more successful and more stable - partly because it's not a one-man show.\n\nThere's also Opensource Endowment which overtime might bring some more financial stability to maintainers, particularly solo ones.",
        "createdAt": "2026-10-15T00:10:29.935Z",
        "score": 2,
        "isSubmitter": true,
        "url": "https://www.reddit.com/r/Python/comments/1x5caxn/comment/pgsta53/",
        "permalink": "/r/Python/comments/1x5caxn/comment/pgsta53/",
        "subreddit": "Python",
        "postTitle": "Jazzband is shutting down",
        "awardCount": null,
        "sourceType": "post",
        "sourceInput": "https://www.reddit.com/r/Python/comments/1x5caxn/jazzband_is_shutting_down/",
        "scrapedAt": "2026-10-18T06:45:24.811Z"
    },
    {
        "type": "post",
        "id": "1x6evac",
        "url": "https://www.reddit.com/r/mildlyinteresting/comments/1x6evac/bought_a_cheap_80_mechanical_keyboard_in_2026/",
        "permalink": "/r/mildlyinteresting/comments/1x6evac/bought_a_cheap_80_mechanical_keyboard_in_2026/",
        "subreddit": "mildlyinteresting",
        "title": "Bought a cheap 80% mechanical keyboard in 2026 that has an Internet Explorer logo on the F9 Key",
        "text": null,
        "author": "Bright-Aspect2724",
        "createdAt": "2026-10-15T07:04:03.605Z",
        "score": 1576,
        "upvoteRatio": 0.9781021897810219,
        "numComments": 115,
        "flair": null,
        "isNSFW": false,
        "isSpoiler": false,
        "isStickied": false,
        "isLocked": false,
        "isArchived": false,
        "isCrosspost": false,
        "postType": "image",
        "domain": "i.redd.it",
        "linkUrl": "https://i.redd.it/h26s1ce2ykvh1.png",
        "images": ["https://i.redd.it/h26s1ce2ykvh1.png"],
        "videoUrl": null,
        "thumbnailUrl": "https://preview.redd.it/h26s1ce2ykvh1.png?width=140&height=128&auto=webp&s=fc31517581b16f3a223d3d83dd6aabc1a3b9fd78",
        "awardCount": null,
        "sourceType": "search",
        "sourceInput": "mechanical keyboard",
        "scrapedAt": "2026-10-18T06:16:20.093Z"
    }
]

The Posts and Comments views in the Output tab show each kind on its own; in the API add view=comments to the dataset items URL for comments only.

How Only new posts works

With Only new posts on, the Actor keeps the ids of the posts it saved for an input in the key-value store reddit-scraper-monitor in your account, and later runs with the same inputs skip them, along with their comments. Each set of inputs gets its own list; give a Monitor name to keep separate lists for schedules with the same inputs. Use the new sort for monitoring, and set Max posts per source a little above the number of posts a subreddit gets between runs. Skipped posts cost nothing.

Tips for scraping Reddit

• More than 1,000 posts from a subreddit. Set Max posts per source above 1,000 and leave Only posts newer than empty: when the chosen listing ends, the Actor reads the subreddit's other listings and skips duplicates. How far it gets depends on the subreddit; small communities run out of posts first.
• Comments cost per comment. Big threads have thousands. Use Max comments per post (comments are read in Reddit's "best" order, shallow replies before deep ones) and Max reply depth to keep only what you need.
• Fewer comments than numComments? Reddit's count includes removed and deleted comments. Removed ones are not shown at all, and a deleted one shows only as an empty placeholder without its id or text, so neither becomes a row. On the threads we checked, the Actor saved exactly the comments the page shows.
• Search like on Reddit. Queries accept Reddit's search operators, such as author:spez or title:keyboard. Use Search only in these subreddits to search inside communities.
• Dates. Only posts newer than takes a date (2026-10-01) or a span (24 hours, 7 days). With the new sort the Actor stops at the first older post, so dated runs are quick.
• Proxies. Leave the default residential proxy on: Reddit blocks datacenter IPs. Use your own proxies only if they are residential or mobile.

Integrations and API

• API: start runs and read results with the Apify API, for example POST https://api.apify.com/v2/acts/stratumics~reddit-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN with the input as the JSON body.
• JavaScript and Python: use the official apify-client packages: client.actor('stratumics/reddit-scraper').call(input), then read client.dataset(run.defaultDatasetId).listItems().
• No-code: connect the Actor to Zapier, Make, n8n, Google Sheets, Slack or webhooks from the Integrations tab, for example to send each new post that mentions your brand to a Slack channel.
• AI agents: add the Apify MCP server (https://mcp.apify.com?tools=stratumics/reddit-scraper) to any assistant that supports the Model Context Protocol, and it can read Reddit threads and searches on its own.

FAQ

Do I need a Reddit account or API key?

No. The Actor reads public Reddit pages without logging in, so there is no API key, OAuth app or rate limit of yours to manage.

Can it read private, quarantined or NSFW communities?

No. Reddit shows those only to logged-in users, so the Actor skips them and names them in the run's status message. Search returns what Reddit shows a logged-out visitor.

Why does a user profile return fewer posts than I expected?

The Actor reads a profile the way Reddit's own profile page lists it, newest first, and stops where Reddit's list ends. Posts the user deleted, and posts Reddit hides from profiles, are not there.

How do I get only new posts every day?

Tick Only new posts, use the new sort, and add a daily or hourly schedule in the Schedules tab. Each run returns only posts the earlier runs did not.

Is it legal to scrape Reddit?

Our Actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our Actors, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

Results contain Reddit usernames and what people wrote publicly, the same as anyone sees on the site. The Actor does not collect anything else about the people behind them.

Where do I report a problem?

Open an issue on the Issues tab with your run link and we will look at it. For programmatic access, see the API tab.

Other tools from Stratum ICS

• Airbnb Scraper: Get every Airbnb listing in a city or from listing links: price per night, rating, reviews, guests, bedrooms, host and Superhost status.
• App Store Reviews Scraper: Get Apple App Store reviews with star ratings, titles, text, app versions, helpful votes and developer replies, well past Apple's 500-review limit, for any country, plus app ratings.
• Bilibili Scraper: Scrape Bilibili videos by search, link or uploader without logging in: views, likes, coins, tags, uploader profiles, comments with replies and danmaku, in clean rows.
• Facebook Ads Library Scraper: Get ads from the Meta (Facebook) Ad Library by keyword, advertiser page or library link: texts, images, videos, dates, platforms and versions, plus spend for political ads.
• Facebook Posts Scraper: Get posts from public Facebook pages: text, reactions by type, comments, shares, views and media, plus page details with followers, contacts, rating and creation date.
• Google Ads Transparency Scraper: Get the ads any advertiser runs on Google Search, YouTube, Shopping, Maps and Play, from the Ads Transparency Center: images, formats, dates, regions and EU reach.
• Google Maps Reviews Scraper: Get the Google Maps reviews of any place: rating, full text, exact date, photos, owner reply, reviewer details and food or service scores.
• Google Maps Scraper: Get the businesses on Google Maps for any search and area: name, address, phone, website, rating, review count, opening hours, plus emails and social profiles.
• Google News Scraper: Get Google News articles with real publisher URLs (not Google redirects), source, date, image, author and optional full text.
• Google Play Reviews Scraper: Get Google Play reviews with star ratings, text, app versions, thumbs-up counts, developer replies and feature ratings in any language, plus app details with installs and star histogram.
• Google Trends Scraper: Get Google Trends data as JSON, CSV or Excel: interest over time, interest by region and city, related queries, and trending searches by country.
• Instagram Scraper: Scrape public Instagram profiles, posts, reels and comments without logging in: followers, bio, posts count, captions, likes, video views, media links, tags and music.
• LinkedIn Jobs Scraper: Scrape LinkedIn jobs with full descriptions, salary ranges, seniority, job type and applicant counts.
• Telegram Channel Scraper: Get messages from public Telegram channels with views, dates, media, reactions, polls and forwards, plus channel info with exact subscriber counts.
• Threads Scraper: Scrape Threads profiles, posts, replies and keyword search: followers, bio, post text, likes, replies, reposts, quotes, media and links.
• TikTok Comments Scraper: Export TikTok comments and replies from any video or photo post: text, date, likes, reply count, commenter, pinned and creator-liked flags, plus video stats.
• TikTok Scraper: Scrape TikTok profiles and videos: followers, likes, bio, the latest 10 to 12 videos of each profile, and full stats for any video link.
• Website Contact Scraper: Turn a list of websites into one row per company with verified emails, formatted phone numbers, social profiles (LinkedIn, Facebook, Instagram, X), address and contact page.
• YouTube Scraper: Get YouTube videos from searches, channels, playlists and links with exact views, likes, comment counts, dates and tags, plus channel profiles and comments.
• YouTube Transcript Scraper: Get YouTube transcripts and captions as plain text, timed segments, SRT or WebVTT, from video links, whole channels or playlists, in any language YouTube offers.