👽 Reddit Post & Subreddit Extractora

What is Reddit Post & Subreddit Extractor?

Reddit Post & Subreddit Extractor is a reddit subreddit scraper that collects posts, comments, communities and user profiles from Reddit by keyword, link or whole subreddit, for market research, social listening and sentiment analysis. Enter a search term, a Reddit URL or a subreddit name and get a dataset you can export to JSON, CSV or Excel. No Reddit login or API key is needed. Pay per result: $3.50 per 1,000 results on the Gold plan, $5.00 on the Free plan.

This reddit scraper runs online on Apify: add a keyword or a subreddit and click Start. No coding needed.

• 📣 Reddit social listening and brand monitoring: track what people say about your product, competitors or topic, and run the search again on a schedule.
• 🧠 Reddit sentiment analysis data: collect posts and comment threads to score opinions in your own tools.
• 📊 Reddit market research and voice of customer research: read what a community asks for, complains about and recommends.
• 🎓 Reddit academic research dataset: pull posts for a fixed date range and describe each community with subscriber counts.
• 🤖 Reddit data for LLM training and RAG: export clean post and comment text with parent and depth fields.

Results are saved to your Apify dataset while the run is still going, and you can use the platform features around it: API access, scheduling, webhooks and integrations.

What can Reddit Post & Subreddit Extractor do?

• 🔎 Search Reddit by keyword: each search term runs as its own search, optionally limited to one subreddit.
• 🔗 Scrape Reddit URLs in bulk: post, subreddit, user profile and search-result links in one run.
• 📚 Collect a whole subreddit: list subreddit names or links in the full subreddit field and raise Max posts.
• 🎯 Filter before saving: date range for posts and comments, only posts with a flair, NSFW on or off.
• 💬 Scrape Reddit comments: collect comments for every post found, up to a limit you choose per post.
• 📈 Reddit engagement metrics on every post: age in hours, score per hour and a high-engagement flag for reddit trend analysis.
• 📦 Export Reddit data: download JSON, CSV, Excel, XML or HTML from five ready-made dataset views.

Why use a reddit subreddit scraper instead of copying posts by hand?

Copying posts and comments from Reddit into a spreadsheet is slow and misses fields such as scores, flairs and timestamps. As a reddit post downloader and reddit scraping tool, this Actor returns the same fields for every row, in one structured dataset, so you can filter, chart and compare runs.

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What data can Reddit Post & Subreddit Extractor extract?

Every row has a dataType of post, comment, community or user, so mixed exports are easy to split.

Type	Fields
📝 Post: content	id, parsedId, title, body, bodyHtml, postType, mediaType, flair, postUrl, url, contentUrl, urlOverriddenByDest, domain, outboundUrlHost, thumbnail, images
👤 Post: author and community	authorId, parsedAuthorId, authorName, authorFlairText, authorPremium, communityName, communityId, parsedCommunityId, parsedCommunityName, subredditName, subredditId, parsedSubredditId, subredditSubscribers
🔼 Post: votes and flags	score, upVotes, upvoteRatio, commentsCount, nsfw, over18, isSelf, spoiler, locked, stickied, edited, editedAt, distinguished, scoreHidden, isOriginalContent, isRobotIndexable, numCrossposts, numDuplicates, totalAwardsReceived, gilded
📷 Post: media	hasMedia, isVideo, isGallery, galleryCount, galleryImages, mediaAssets, videoUrl, media, secureMedia, mediaMetadata, galleryData
🚩 Post: moderation	removedByCategory, removedBy, bannedBy, removalReason, modReasonTitle
📊 Post: engagement metrics	ageHours, scorePerHour, commentsPerHour, engagementTotal, commentToScoreRatio, isHighEngagement, titleLength, bodyLength, wordCount
💬 Comment	id, parsedId, postId, parentId, linkId, depth, body, bodyHtml, authorId, authorName, communityName, subredditId, score, scoreHidden, controversiality, ups, downs, gilded, totalAwardsReceived, edited, isSubmitter, stickied, distinguished, locked, collapsed, collapsedReason, permalink, removalReason
📚 Community	id, parsedId, name, namePrefixed, title, description, descriptionHtml, publicDescription, subscribers, activeUserCount, over18, lang, subredditType, communityIcon, bannerImg, headerImg, keyColor, primaryColor, submitText, submissionType, linkFlairEnabled, allowImages, allowVideos, allowGalleries, allowPolls, wikiEnabled, quarantine, restrictPosting, restrictCommenting, advertiserCategory, communityReviewed
🧑 User	id, parsedId, username, commentKarma, linkKarma, awardeeKarma, awarderKarma, totalKarma, isGold, isMod, isEmployee, isBlocked, verified, hasVerifiedEmail, hasSubscribed, acceptFollowers, acceptChats, acceptPms, iconImg, snoovatarImg, subredditDisplayName, subredditTitle, subredditSubscribers, subredditPublicDescription
🔗 All types	createdAt, crawledAt, dataSource; searchTerm on posts, comments and communities (empty unless the row came from a keyword search)

Note: Some values can be empty because Reddit does not publish every value for every item. The dataSource field is a short label on each row; rows with a label other than live can show older or missing score, commentsCount and flair values.

What data can't Reddit Post & Subreddit Extractor extract?

• Content that needs a Reddit login, such as private communities or personal feeds.
• Direct messages, vote history or account e-mail addresses.
• Every post of a very large community: Reddit decides how many items it returns, so a run can return fewer rows than you ask for.

For every comment under one post, try Reddit Post Comments Scraper.

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How to scrape Reddit posts and subreddits

Reddit Post & Subreddit Extractor is built for an easy start, even if you have never extracted data from the web before.

1. Create a free Apify account with your email.
2. Open Reddit Post & Subreddit Extractor.
3. Add keywords to Search terms, links to Reddit URLs, or names to Subreddits to scrape in full.
4. Set Max posts to the number of posts you want per search term, URL or subreddit.
5. Add a date range, flair or NSFW setting, and turn on Scrape comments for each post if you want comment rows.
6. Click Start and wait for the run to finish.
7. Open the Output tab, pick a view and download your data in JSON, CSV, Excel, XML or HTML.

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How much does it cost to scrape Reddit?

Reddit Post & Subreddit Extractor uses pay-per-event pricing: you pay for each result saved to the dataset, whether it is a post, a comment, a community or a user row. Apify platform usage is billed in addition. The price per result depends on your Apify plan.

Plan	Price per result	Price per 1,000 results
🆓 Free	$0.005	$5.00
🥉 Bronze	$0.0045	$4.50
🥈 Silver	$0.004	$4.00
🥇 Gold	$0.0035	$3.50

Each run also has an Actor start event of $0.00005 per GB of memory, with a minimum of one event. The default memory of this Actor is 1024 MB (1 GB), so one start event applies: $0.00005.

Worked example: 2,000 results on the Silver plan cost 2,000 x $0.004 = $8.00, plus the $0.00005 start event and Apify platform usage.

See the pricing tab for all events.

Is scraping Reddit free?

You can start for free. The Apify Free plan includes $5 in monthly credit, which covers about 1,000 results at the Free price of $0.005 per result ($5 divided by $0.005), before platform usage. The default input saves up to 20 results, which costs about $0.10 on the Free plan.

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Input

Choose at least one of Search terms, Reddit URLs or Subreddits to scrape in full. No field is required by the schema, but a run with none of the three stops with a message and saves nothing. Set the input in the Apify form or send JSON through the API. This example searches one keyword and reads one subreddit:

{
  "searchTerms": ["artificial intelligence"],
  "startUrls": [{ "url": "https://www.reddit.com/r/technology/" }]
}

All other fields use the defaults below. See the input schema tab for the full form.

Keyword search

Use these fields to scrape Reddit by keyword: each term runs as its own search with its own limits.

Field	Type	Required	Default	Description
searchTerms	array of strings	No	["artificial intelligence"] in the form	Keywords to search. Each term is a separate search.
searchPosts	boolean	No	true	Include posts in the results.
searchComments	boolean	No	false	Include comments that match the term.
searchCommunities	boolean	No	false	Include matching communities (subreddits).
withinCommunity	string	No	empty (all of Reddit)	Limit the search to one subreddit. Accepts developers, r/developers or a full subreddit URL.
searchSort	string	No	new	One of relevance, hot, top, new, comments.
searchTime	string	No	all	One of all, hour, day, week, month, year.
maxCommentsCount	integer	No	10	Maximum comments returned by comment search. Minimum 0.
maxCommunitiesCount	integer	No	2	Maximum communities returned by community search. Minimum 0.

Reddit URLs and full subreddit

Field	Type	Required	Default	Description
startUrls	array of URLs	No	[{"url": "https://www.reddit.com/r/technology/"}] in the form	Post, subreddit, user profile and search-result URLs. Bulk input is supported.
subredditUrls	array of strings	No	empty	Subreddit names or links to collect in full, such as AskReddit, r/AskReddit or a subreddit URL. Uses more requests, so raise Max posts.

Filters, comments and limits

Field	Type	Required	Default	Description
postedAfter	string (date)	No	empty	Keep posts created on or after this date (00:00 UTC). When set, results are fetched newest first and searchTime is ignored.
postedBefore	string (date)	No	empty	Keep posts created on or before this date (23:59:59 UTC).
commentedAfter	string (date)	No	empty	Keep comments created on or after this date (UTC).
commentedBefore	string (date)	No	empty	Keep comments created on or before this date (UTC).
onlyWithFlair	boolean	No	false	Drop posts that have no flair.
includeNSFW	boolean	No	false	Include posts marked NSFW (18+).
crawlCommentsPerPost	boolean	No	false	Collect comments for every post found. This increases run time and data.
maxCommentsPerPost	integer	No	10	Maximum comments per post when comment collection is on. Range 0 to 500.
maxPostsCount	integer	No	10	Maximum posts saved per search term, URL or subreddit. Range 0 to 50,000.

Network and pacing

Field	Type	Required	Default	Description
proxyConfiguration	object	No	preselected in the form	Network settings for the run. Leave the default unless you need your own.
postConcurrency	integer	No	3	How many posts' comment threads are fetched at the same time. Range 1 to 10.
maxRetries	integer	No	3	Retries for a failed request. Range 1 to 10.
requestDelayMin	number	No	1.0	Minimum delay between requests in seconds. Range 0 to 10.
requestDelayMax	number	No	2.5	Maximum delay between requests in seconds. Range 0 to 15.

Full subreddit scrape

Add AskReddit, r/AskReddit or a full subreddit link to subredditUrls, then raise maxPostsCount.

• ✅ Good: "subredditUrls": ["AskReddit"] with "maxPostsCount": 500
• ❌ Bad: "subredditUrls": ["https://www.reddit.com/r/AskReddit/comments/abc123/"] (a post link is not a subreddit link and is skipped)

Warning: maxPostsCount applies to each search term, URL or subreddit separately, so three subreddits with a value of 500 can save up to 1,500 posts, and every saved row is charged.

Comments

Turn on crawlCommentsPerPost and set maxCommentsPerPost to collect comment rows for each post. Use commentedAfter and commentedBefore to keep only comments from a period.

• ✅ Good: "crawlCommentsPerPost": true with "maxCommentsPerPost": 20
• ❌ Bad: "maxCommentsCount": 20 to get comments under posts (that field only limits keyword comment search)

Warning: Comment collection increases run time, data and cost, because each comment is a separate paid result.

Dates and search sorting

Use YYYY-MM-DD for postedAfter and postedBefore.

• ✅ Good: "postedAfter": "2026-09-01" and "postedBefore": "2026-09-30"
• ❌ Bad: "postedAfter": "last month" (not a date)

Warning: When postedAfter or postedBefore is set, results are fetched newest first and searchTime is ignored.

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Output

Results go to the default Apify dataset, with five views in the Output tab: Overview, Posts, Comments, Communities and Users. Download the dataset as JSON, CSV, Excel, XML or HTML from the Output or Storage tab or through the API, and pick only the fields you need. Each run also saves a run-summary record in the key-value store.

JSON example

Results for the input example above. Posts found by the search carry the search term in searchTerm.

{
  "dataType": "post",
  "id": "t3_abc123",
  "parsedId": "abc123",
  "title": "Sample post title",
  "body": "Sample post text.",
  "bodyHtml": null,
  "authorId": "t2_xyz789",
  "parsedAuthorId": "xyz789",
  "authorName": "example_user",
  "communityName": "r/example",
  "communityId": "t5_2abcd",
  "parsedCommunityId": "2abcd",
  "parsedCommunityName": "example",
  "subredditName": "example",
  "subredditId": "t5_2abcd",
  "parsedSubredditId": "2abcd",
  "postType": "text",
  "flair": "Discussion",
  "upVotes": 120,
  "commentsCount": 14,
  "postUrl": "https://example.com/r/example/comments/abc123/sample_post/",
  "url": "https://example.com/r/example/comments/abc123/sample_post/",
  "contentUrl": null,
  "images": [],
  "nsfw": false,
  "score": 120,
  "upvoteRatio": 0.96,
  "subredditSubscribers": 50000,
  "over18": false,
  "isSelf": true,
  "spoiler": false,
  "locked": false,
  "stickied": false,
  "edited": false,
  "editedAt": null,
  "distinguished": null,
  "scoreHidden": false,
  "isOriginalContent": false,
  "numCrossposts": null,
  "totalAwardsReceived": null,
  "gilded": null,
  "domain": "self.example",
  "thumbnail": null,
  "urlOverriddenByDest": null,
  "authorFlairText": null,
  "authorPremium": false,
  "numDuplicates": null,
  "removedByCategory": null,
  "removedBy": null,
  "bannedBy": null,
  "removalReason": null,
  "modReasonTitle": null,
  "isRobotIndexable": null,
  "mediaType": "text",
  "hasMedia": false,
  "isVideo": false,
  "isGallery": false,
  "galleryCount": 0,
  "galleryImages": [],
  "mediaAssets": [],
  "videoUrl": null,
  "media": null,
  "secureMedia": null,
  "mediaMetadata": null,
  "galleryData": null,
  "ageHours": 66.22,
  "scorePerHour": 1.81,
  "commentsPerHour": 0.21,
  "engagementTotal": 134,
  "commentToScoreRatio": 0.12,
  "isHighEngagement": false,
  "titleLength": 17,
  "bodyLength": 17,
  "wordCount": 3,
  "outboundUrlHost": null,
  "createdAt": "2026-10-14T17:46:40+00:00",
  "crawledAt": "2026-10-17T12:00:00+00:00",
  "searchTerm": "artificial intelligence",
  "dataSource": "live"
}

Comment example

Comments appear when crawlCommentsPerPost or searchComments is on, and when a user profile URL is added with maxCommentsCount above 0.

{
  "dataType": "comment",
  "id": "t1_def456",
  "parsedId": "def456",
  "postId": "abc123",
  "parentId": "t3_abc123",
  "linkId": "t3_abc123",
  "depth": 0,
  "body": "Sample comment text.",
  "bodyHtml": null,
  "authorId": "t2_xyz789",
  "authorName": "example_user",
  "communityName": "r/example",
  "subredditId": "t5_2abcd",
  "score": 8,
  "scoreHidden": false,
  "controversiality": null,
  "ups": 8,
  "downs": null,
  "gilded": null,
  "totalAwardsReceived": null,
  "edited": false,
  "isSubmitter": false,
  "stickied": false,
  "distinguished": null,
  "locked": false,
  "collapsed": false,
  "collapsedReason": null,
  "permalink": "https://example.com/r/example/comments/abc123/sample_post/def456/",
  "removalReason": null,
  "createdAt": "2026-10-14T18:46:40+00:00",
  "crawledAt": "2026-10-17T12:00:00+00:00",
  "searchTerm": "artificial intelligence",
  "dataSource": "live"
}

Community example

Communities appear when searchCommunities is on, or when a subreddit URL is used with maxPostsCount set to 0.

{
  "dataType": "community",
  "id": "t5_2abcd",
  "parsedId": "2abcd",
  "name": "example",
  "namePrefixed": "r/example",
  "title": "Example community",
  "description": null,
  "descriptionHtml": null,
  "publicDescription": "A sample community.",
  "subscribers": 50000,
  "activeUserCount": 120,
  "over18": false,
  "lang": "en",
  "communityIcon": null,
  "bannerImg": null,
  "headerImg": null,
  "keyColor": null,
  "primaryColor": null,
  "submitText": null,
  "submissionType": null,
  "linkFlairEnabled": false,
  "allowImages": false,
  "allowVideos": false,
  "allowGalleries": false,
  "allowPolls": false,
  "wikiEnabled": false,
  "quarantine": false,
  "restrictPosting": false,
  "restrictCommenting": false,
  "advertiserCategory": null,
  "communityReviewed": false,
  "subredditType": "public",
  "createdAt": "2017-07-14T02:40:00+00:00",
  "crawledAt": "2026-10-17T12:00:00+00:00",
  "searchTerm": "artificial intelligence",
  "dataSource": "live"
}

User example

User rows appear when a user profile URL is added to startUrls.

{
  "dataType": "user",
  "id": "t2_xyz789",
  "parsedId": "xyz789",
  "username": "example_user",
  "commentKarma": 1200,
  "linkKarma": 800,
  "awardeeKarma": null,
  "awarderKarma": null,
  "totalKarma": 2000,
  "isGold": false,
  "isMod": false,
  "isEmployee": false,
  "isBlocked": false,
  "verified": false,
  "hasVerifiedEmail": false,
  "hasSubscribed": false,
  "acceptFollowers": false,
  "acceptChats": false,
  "acceptPms": false,
  "iconImg": null,
  "snoovatarImg": null,
  "subredditDisplayName": "u_example_user",
  "subredditTitle": "example_user",
  "subredditSubscribers": 10,
  "subredditPublicDescription": "Sample profile.",
  "createdAt": "2020-09-13T12:26:40+00:00",
  "crawledAt": "2026-10-17T12:00:00+00:00",
  "dataSource": "live"
}

Run summary

The run-summary record in the key-value store includes source, scrapedAt, searchTerms, directUrls, fullSubreddits, itemsSaved, posts, comments, communities, users, unreachableSources and durationSeconds.

Notes and limitations

• Some posts, comments and users have empty fields, because Reddit does not publish every value for every item.
• Posts marked NSFW are skipped unless includeNSFW is true.
• maxPostsCount applies to each search term, URL or subreddit separately, and Reddit may return fewer posts than you ask for.
• On a user profile URL, maxPostsCount caps the posts and maxCommentsCount caps the comments collected for that profile.
• On a subreddit URL, maxPostsCount set to 0 returns only the community row.
• If comment search across the whole site returns nothing, set withinCommunity to search one subreddit's comments instead.
• If nothing could be retrieved for your input, the run ends as failed with a message instead of succeeding with an empty dataset.

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Tips and advanced usage

How many results can you scrape with Reddit Post & Subreddit Extractor?

maxPostsCount accepts up to 50,000 posts for each search term, URL or subreddit, and comments add rows on top. The exact number depends on how much Reddit returns for your keyword or community, your date range and your filters. The best way to know for your use case is a quick test run with a small Max posts value.

How to get faster or cheaper results

• Keep maxPostsCount small while testing, because every saved row is charged.
• Leave crawlCommentsPerPost off unless you need comments, and keep maxCommentsPerPost low.
• Use postedAfter and postedBefore to collect only the period you need.
• Raise postConcurrency to fetch several comment threads at the same time.
• Set a maximum cost per run in Apify to cap spending; the run stops cleanly and keeps everything saved so far.

Monitor a topic over time

Add your brand or product to searchTerms, set searchSort to new and searchTime to week, then schedule Reddit scraping in Apify. Compare score, commentsCount and isHighEngagement between runs, or send each finished run to a webhook.

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Integrations and API

Can I use Reddit Post & Subreddit Extractor as an API?

Yes. The Apify API gives you programmatic access to this reddit subreddit scraper: start runs, schedule them and fetch results. Use the apify-client package for Node.js or Python. See the API tab for ready-to-use code.

How to scrape Reddit with Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("data_minds/reddit-post-subreddit-extractor").call(run_input={
    "searchTerms": ["artificial intelligence"],
    "startUrls": [{"url": "https://www.reddit.com/r/technology/"}],
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Can I integrate Reddit Post & Subreddit Extractor with other apps?

Yes. Connect the Actor with Make, Zapier, Google Sheets, Slack and more through Apify integrations. Use webhooks to trigger an action whenever a run finishes, and schedule runs to keep your Reddit data fresh.

Can I use Reddit Post & Subreddit Extractor with AI agents (MCP)?

Yes. Connect the Actor to Claude and other MCP-compatible AI clients through the Apify MCP server. Open the MCP tab for setup steps.

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Other Reddit scrapers

Actor	What it does
💬 Reddit Post Comments Scraper	Scrape every comment from any Reddit post or thread, with full nested replies, scores, authors and timestamps.
👽 Reddit Scraper - Posts, Comments, Search & Subreddits	Bulk Reddit scraping without an API key or login from post, subreddit, user or search URLs.
🔗 X (Twitter) Scraper Unlimited – No Limits	Scrape X (Twitter) posts, profiles, articles, threads and analytics from links, handles or search terms.
🔗 Google Trends : Trending Search Scraper	Scrape real-time Google Trends trending searches — search volume, growth %, categories, related queries and related news — one clean row per...
🔗 Website Content Crawler	Turn any website into clean text, Markdown and page metadata for RAG pipelines and LLM knowledge bases.

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FAQ

Is it legal to use a reddit subreddit scraper?

This Actor collects publicly available Reddit data, but whether your use is legal depends on your country, the data and your purpose. Personal data is covered by rules such as GDPR, and Reddit's terms may apply. This is not legal advice; read Is web scraping legal? before collecting user data.

Does the reddit subreddit scraper need an API key or login?

No. You do not need a Reddit account, login or Reddit API key, so there is no Reddit API setup for public data. You only need an Apify account. Enter keywords, links or subreddit names, click Start and the results are saved to your dataset.

How does Reddit Post & Subreddit Extractor work?

You give it search terms, Reddit URLs or subreddit names plus optional filters such as dates, flair and NSFW. It collects the matching posts, comments, communities and user profiles, saves each result to the dataset as soon as it is ready, and writes a run summary with totals when the run ends.

Why scrape Reddit data?

People scrape Reddit to understand what real users say. Common uses are sentiment analysis, social listening, competitor monitoring, market research, content ideas, academic research and building text datasets for AI projects. Reddit threads contain questions, complaints and recommendations that are hard to collect by hand at scale.

How many posts can the reddit subreddit scraper get per run?

Add the subreddit to Subreddits to scrape in full or paste its link into Reddit URLs, then set Max posts. The field accepts up to 50,000 posts for each search term, URL or subreddit. Reddit can return fewer posts than you ask for, so check the run log and the run summary.

Can I export Reddit comments to CSV, Excel or JSON?

Yes. Open the Output tab after the run and choose JSON, CSV, Excel, XML or HTML. You can also download the data through the Apify API. Posts, comments, communities and users sit in one dataset, so filter by the dataType column to split them into separate files for a spreadsheet.

Why am I getting fewer results than expected?

Common causes are a small Max posts value, a narrow date range, a flair or NSFW filter, a search with few matches, or Reddit returning fewer items than requested. Widen the filters, raise Max posts and read the run log. Rows can also have empty values when Reddit does not publish them.

Reddit Post & Subreddit Extractor not working?

Open the run log first: it explains what happened and what to try next. If a run fails or returns nothing for an input that works in your browser, wait and run it again, then report it in the Issues tab of this Actor with your input and run link so the problem can be reproduced and fixed.

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Support and feedback

Found a bug or have a feature request? Please create an issue on the Issues tab. For custom solutions, integrations or questions, write to hello.dataminds@gmail.com. Built and maintained by the data_minds team on Apify.

Reddit Post & Subreddit Extractor is independent and not affiliated with Reddit. Reddit and other trademarks belong to their owners. The Actor collects publicly available data only, and you are responsible for complying with applicable laws and the site's terms.