Reddit Comments Scraper | Search, Threads and Replies avatar

Reddit Comments Scraper | Search, Threads and Replies

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from $1.19 / 1,000 comments

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Reddit Comments Scraper | Search, Threads and Replies

Reddit Comments Scraper | Search, Threads and Replies

Try for free

Reddit Comments Scraper: search Reddit comments by keyword across every subreddit, export a whole thread with hidden replies, or the comments of a subreddit or profile. 50 comments in 30 seconds, 63 fields each: post, score, depth, sentiment and lead signals like pain points. No login, no API key.

Pricing

from $1.19 / 1,000 comments

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0.0

(0)

Developer

SilentFlow

SilentFlow

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

5 days ago

Last modified

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Social media

Lead generation

Marketing

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Reddit Comments Scraper (reddit.com) | Search, Threads and Replies (2026)

1 search. 50 Reddit comments. 63 fields per comment.

From SilentFlow. Creators of Pinterest Scraper and Leboncoin Scraper Ppe, with 410,000+ combined lifetime runs.

Every Reddit comment that mentions your keywords, every reply of a thread, every comment of a subreddit or a profile, as clean rows with their post, their score and the buying signals already flagged.

Why choose this actor?

Looking for what people really say about a product, a competitor or a problem? On Reddit it is in the comments, buried under "load more replies" and spread over hundreds of communities. This actor collects them for you, one row per comment.

  • 59 filled fields on every comment. Text, author, score, depth, parent, reply count, edit date, the title, link and comment count of its post, the community, engagement per hour, and lead signals: help requests, pain points, budgets, products named, intent and sentiment. On the default search, 59 fields were filled on every row.
  • Search by keyword or paste any Reddit link. A keyword finds the comments that mention it across Reddit (50 comments from 40 different subreddits for "best crm for small business"). A post link gives its whole thread, hidden replies included (2,185 comments from one AskReddit thread, nine reply levels deep). A subreddit link gives the comments of its latest posts, a profile link the comments of that user.
  • Nothing to fill in before the first run. No field is required and the form opens with a working search, so the first run returns comments right away. No Reddit account and no API key either.

Try Reddit Comments Scraper

Paste this input in the Input tab, or send it from the API, and run. You get the 50 most relevant comments that mention the search, each with the post it answers.

{
  "searches": ["best crm for small business"],
  "maxItems": 50
}

The free Apify plan is enough to run it: no credit card, no Reddit account.

How it works

SilentFlow ยท Reddit suite
ย ย Reddit Scraper
Posts, Comments and		ย ย Reddit Scraper
Comments, Posts and Users		Reddit Comments Scraper
You are here

Copy to your AI assistant

Paste this block into Claude, ChatGPT or Cursor to give it full context about this scraper:

You have access to the Reddit Comments Scraper on Apify: silentflow/reddit-comments-scraper


Input (all optional, at least one search term or one URL):
- searches (array of string): keywords searched in comments across Reddit
- startUrls (array of {url}): post URLs (whole thread), subreddit URLs (comments of the latest posts),
  profile URLs (that user's comments), Reddit search pages
- maxItems (integer, default 50): total comments for the run, no fixed limit
- searchCommunityName (string): limit searches to one subreddit
- sort (string, default "relevance"): relevance, new, top, comments; hot or rising for subreddit URLs
- time (string, default "all"): all, hour, day, week, month, year
- maxCommentsPerPost (integer, default 100): comments per thread, 0 = the whole thread
- postDateLimit (string, YYYY-MM-DD): only comments written on or after this date
- postedBefore (string, YYYY-MM-DD): only comments written on or before this date
- includeNSFW (boolean, default true): include comments of 18+ posts


Output: one row per comment (dataType = "comment").
Key fields: id, url, body, username, communityName, upVotes, score, depth, parentId, repliesCount,
createdAt, editedAt, postId, postTitle, postUrl, postCommentsCount, searchTerm.
Computed on every comment: ageHours, scorePerHour, engagementTotal, wordCount, wantsHelp, hasPain,
painPoint, mentionsPrice, willingToPay, featureRequest, isVendor, isOwner, mentionedProducts, intent,
sentimentScore, sentimentLabel, lang. Dates are RFC 3339 UTC.


Use apify-client for Python or JavaScript, or the Apify MCP server: https://mcp.apify.com/?tools=silentflow/reddit-comments-scraper

How to scrape Reddit comments

Find the comments that mention your product category

Every comment that matches the search, across all of Reddit, most relevant first. Each row says which post it answers.

{
  "searches": ["best crm for small business", "hubspot alternative"],
  "maxItems": 200
}

Export every comment of a thread, hidden replies included

Set comments per post to 0 and the whole thread comes out, every "load more replies" opened, with the depth and parent of each comment so you can rebuild the conversation.

{
  "startUrls": [{ "url": "https://www.reddit.com/r/AskReddit/comments/1wzbc6m/" }],
  "maxCommentsPerPost": 0,
  "maxItems": 3000
}

Collect the comments of a subreddit or of a user

A subreddit link gives the comments of its latest posts (60 comments across 14 posts of r/smallbusiness in 24 seconds). A profile link gives the comments that user wrote, newest first.

{
  "startUrls": [
    { "url": "https://www.reddit.com/r/smallbusiness/" },
    { "url": "https://www.reddit.com/user/spez/" }
  ],
  "maxCommentsPerPost": 20,
  "maxItems": 300
}

Input parameters

ParameterTypeDefaultWhat it does
searchesarrayKeywords searched in comments across Reddit
startUrlsarrayPosts, subreddits, user profiles, Reddit search pages
maxItemsinteger50Total comments for the run, no fixed limit
searchCommunityNamestringLimit searches to one subreddit
sortstringrelevancerelevance, new, top, comments, and hot or rising for subreddit links
timestringallall, hour, day, week, month, year
maxCommentsPerPostinteger100Comments kept per thread, 0 for the whole thread
postDateLimitstringWritten on or after (YYYY-MM-DD)
postedBeforestringWritten on or before (YYYY-MM-DD)
includeNSFWbooleantrueInclude comments of 18+ posts and communities

Accepted URLs:

  • Post: https://www.reddit.com/r/AskReddit/comments/1wzbc6m/ returns every comment of the thread (up to maxCommentsPerPost)
  • Subreddit: https://www.reddit.com/r/smallbusiness/, or a sorted listing such as https://www.reddit.com/r/smallbusiness/top/, returns the comments of its posts
  • User profile: https://www.reddit.com/user/spez/ or https://www.reddit.com/user/spez/comments/ returns that user's comments
  • Search page: https://www.reddit.com/search/?q=crm searches the comments for its keywords

Search terms and URLs can be mixed in one run. URLs are read first, then the searches, until maxItems comments are collected.

What data can you extract from Reddit?

Each row is one comment. The fields come in four groups.

The comment. id, url (its permalink), body, html, username, userId, authorFlairText, upVotes, score, depth (0 for a top-level comment), parentId and parentKind (the post or the comment it replies to), repliesCount and numberOfreplies, isSubmitter (written by the author of the post), stickied, editedAt (when the author changed it), createdAt.

Its post and community. postId, postTitle, postUrl, postUpVotes, postCommentsCount, postCreatedAt, communityName, subredditName.

Engagement, computed on every row. ageHours, scorePerHour (score divided by the age in hours, at least one hour), commentsPerHour, engagementTotal, isHighEngagement, wordCount, bodyLength.

Lead signals, detected on every row. wantsHelp (asks for advice or a tool), hasPain and painPoint (the sentence that describes the problem), mentionsPrice, willingToPay, featureRequest, isVendor (a seller promoting something), isOwner (a founder or business owner), mentionedProducts (the tools the author uses, recommends or switches between), intent (question, recommendation_request, complaint, promotion or discussion), sentimentScore from -1 to 1 and sentimentLabel, lang. They are keyword rules, the same result on every run; sentiment is computed for English text and left null otherwise.

The dataset has three views: Overview (comment, author, subreddit, post, upvotes, date, link), Lead signals (intent and every flag next to the comment) and Comments (the thread columns: depth, replies, parent).

Output example

A real row from the default search, collected on October 14, 2026:

{
  "id": "t1_pa5mubm",
  "parsedId": "pa5mubm",
  "url": "https://www.reddit.com/r/Entrepreneur/comments/1lrerob/which_platform_is_best_for_sending_marketing/pa5mubm/",
  "parentId": "t3_1lrerob",
  "postId": "t3_1lrerob",
  "username": "Informal_Rabbit_4090",
  "userId": "t2_2d6vhy8it5",
  "category": "Entrepreneur",
  "communityName": "r/Entrepreneur",
  "body": "True, there are so many platforms now and most of them offer very similar features at base level. Depends on what you actually need. I needed basic ecommerce automation for my Shopify store, so I chose Sender because if offered the best price for the features I actually use. If you have a big operation and need predictive analytics and a deep CRM you should probably go with Klaviyo. But if you're a small business, compare Sender vs Klaviyo at let's say 5,000 subs - Sender is 3x cheaper.",
  "html": "<div class=\"md\"><p>True, there are so many platforms now and most of them offer very similar features at base level. Depends on what you actually need. I needed basic ecommerce automation for my Shopify store, so I chose Sender because if offered the best price for the features I actually use. If you have a big operation and need predictive analytics and a deep CRM you should probably go with Klaviyo. But if you&#39;re a small business, compare Sender vs Klaviyo at let&#39;s say 5,000 subs - Sender is 3x cheaper.</p>\n</div>",
  "createdAt": "2026-09-16T13:07:27Z",
  "scrapedAt": "2026-10-14T01:21:28Z",
  "upVotes": 1,
  "numberOfreplies": 0,
  "dataType": "comment",
  "depth": 0,
  "parentKind": "t3",
  "repliesCount": 0,
  "isSubmitter": false,
  "permalink": "https://www.reddit.com/r/Entrepreneur/comments/1lrerob/which_platform_is_best_for_sending_marketing/pa5mubm/",
  "authorName": "Informal_Rabbit_4090",
  "authorFlairText": null,
  "authorPremium": false,
  "isAuthorDeleted": false,
  "postTitle": "Which platform is best for sending marketing emails?",
  "postUrl": "https://www.reddit.com/r/Entrepreneur/comments/1lrerob/which_platform_is_best_for_sending_marketing/",
  "postUpVotes": 16,
  "postCommentsCount": 75,
  "postCreatedAt": "2025-07-04T09:46:26Z",
  "subredditId": "t5_2qldo",
  "subredditName": "Entrepreneur",
  "score": 1,
  "scoreHidden": false,
  "controversiality": 0,
  "totalAwardsReceived": 0,
  "gilded": 0,
  "distinguished": null,
  "stickied": false,
  "locked": false,
  "archived": false,
  "collapsed": false,
  "collapsedReason": null,
  "isEdited": false,
  "editedAt": null,
  "ageHours": 660.23,
  "scorePerHour": 0,
  "commentsPerHour": 0,
  "engagementTotal": 1,
  "commentToScoreRatio": 0,
  "isHighEngagement": false,
  "wordCount": 89,
  "titleLength": null,
  "bodyLength": 491,
  "wantsHelp": false,
  "hasPain": false,
  "painPoint": null,
  "mentionsPrice": true,
  "willingToPay": false,
  "featureRequest": false,
  "isVendor": false,
  "isOwner": true,
  "mentionedProducts": [
    "Klaviyo"
  ],
  "intent": "discussion",
  "sentimentScore": 0.61,
  "sentimentLabel": "positive",
  "lang": "en",
  "searchTerm": "best crm for small business",
  "position": 27,
  "source": "commentSearch"
}

Advanced usage

Build a lead list from people asking for a recommendation

Search the phrases buyers use, then keep the rows where wantsHelp is true or intent is recommendation_request. On the default search, 8 comments out of 50 asked for help and 13 named the tools they use.

{
  "searches": ["looking for a crm", "recommend a crm", "crm for a small team"],
  "sort": "new",
  "time": "month",
  "maxItems": 500
}

Track what people say about a competitor

Search the competitor's name, then read mentionedProducts, hasPain and sentimentLabel to see what they switch from, what hurts and how they feel about it.

{
  "searches": ["hubspot"],
  "sort": "new",
  "postDateLimit": "2026-09-01",
  "maxItems": 1000
}

Read one community only

The same search, limited to one subreddit. Useful when a community is your market and the rest of Reddit is noise.

{
  "searches": ["inventory software"],
  "searchCommunityName": "smallbusiness",
  "sort": "top",
  "time": "year",
  "maxItems": 300
}

Archive the full discussion of a launch or an announcement

Paste the post of the announcement and load the whole thread every week. editedAt and score show how the conversation moved, and parentId rebuilds every reply chain.

{
  "startUrls": [{ "url": "https://www.reddit.com/r/AskReddit/comments/1wzbc6m/" }],
  "maxCommentsPerPost": 0,
  "maxItems": 5000
}

Send the comments to Google Sheets, Slack or your CRM

Schedule the actor in Apify (every morning, for example) and connect an integration: Google Sheets, Slack, Zapier, Make, n8n or a webhook. Each run adds the new comments, and the Lead signals view gives a ready-made sheet of the conversations worth answering.

{
  "searches": ["alternative to notion", "notion is too slow"],
  "sort": "new",
  "time": "day",
  "maxItems": 200
}

FAQ

What does this Reddit comments scraper extract? Comments, one row each, with 59 filled fields: the text, author, score, depth, parent and replies, the post it belongs to, the community, engagement metrics and detected lead signals.

Do I need a Reddit account or an API key? No. It reads public Reddit pages only, the way a visitor sees them. Nothing to sign in to.

How do I get every comment of a thread? Paste the post URL and set comments per post to 0. Every reply Reddit still serves is loaded, the hidden "load more replies" branches included: 2,185 comments from one large AskReddit thread in 48 seconds.

Why do I get fewer comments than the count Reddit displays? Reddit's count includes deleted and removed comments that it no longer serves. You get every comment that is still there.

Can I search comments in one subreddit only? Yes. Add the community name in Within one community, for example smallbusiness, and the search stays inside it.

Can I mix search terms and URLs? Yes. The URLs are read first, then the search terms, until the run has collected maxItems comments. Each row says where it came from in source and, for searches, searchTerm.

How fresh is the data? Every run reads Reddit live. Sort by New with a time range of a day or a week, or set Posted after, to get only the latest comments.

What are the lead signals and how reliable are they? They are keyword rules applied to the text of each comment: help requests, pain points, prices, readiness to pay, feature requests, sellers, business owners and products named. The same text always gives the same flags. Use them to sort and filter, then read the comments that matter.

Can I get the posts too? This actor returns comments only, with the title, link, score and comment count of their post on every row. For the posts themselves, subreddit archives and communities, use Reddit Scraper.

How many comments can one run collect? There is no fixed limit: set maxItems to the volume you need. A whole thread of a few thousand comments takes about a minute.

More SilentFlow scrapers

๐Ÿ›’ E-commerce

๐Ÿ’ผ Jobs

๐Ÿ  Real estate

๐Ÿ“ฃ Social media

๐Ÿข Business data

โœˆ๏ธ Travel

๐ŸŽฏ Lead generation

๐Ÿ”Ž SEO

๐Ÿ“ˆ Marketing

๐Ÿงฐ More tools

Support

Need something this scraper doesn't do yet? We ship features fast.

  • Feature requests go straight to our backlog
  • Enterprise needs? We do custom integrations and high-volume plans
  • Pricing questions? Check the Monetization tab on the actor page

Response time: usually under 24 hours.

This Actor extracts publicly available comments from Reddit. It does not bypass any login, paywall or CAPTCHA, and it never reads private communities. Users are responsible for complying with Reddit's terms of service and with the data protection laws that apply to them, such as the GDPR in Europe, the CCPA in California and the PIPL in China. The output contains usernames and the text people posted: treat it as personal data where those laws apply, keep only what you need and delete it when you no longer use it. The data is informational; verify it before using it in regulated decisions.

Reddit Comments Scraper is maintained by SilentFlow and is not affiliated with Reddit, Inc.

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