Reddit Comments Scraper: Full Comment Threads

Paste Reddit post links and get all their comments: text, score, author, date, depth, parent and root comment, with the post itself. Or get each thread as one Markdown record for an LLM. No login, no cookies, no API key. Export as JSON, CSV or Excel, or read it through the Apify API.

• The whole tree, no comment left out: on a 1,650-comment thread, 263 of 263 recent comments down to depth 12 in our tests, each with parentId, depth and rootCommentId, so the thread can be rebuilt in a spreadsheet. The 2012 Obama AMA: 22,806 comments in about 15 minutes, none missing.
• Threads as Markdown for LLMs (outputFormat: threadMarkdown): one record per post with its comment tree, 7.2 times fewer characters than the same thread as JSON records, at the same price.
• Comment date filters: only the comments written after or before a date; the tree is still walked, so a new reply under an old comment is found.
• Only new comments on a schedule: turn on Only new since the last run and each run returns and charges only the comments earlier runs did not return.

$2.50 per 1,000 comments, $2.50 per 1,000 posts, less on paid plans, plus $0.005 per run. Posts that fail, duplicates and comments outside your dates are not charged.

Optional AI analysis of each post and comment (sentiment, intent, entities, summary, pain point, business signals, your own labels): $0.50 per 1,000 analyzed records.

Quick start

1. Paste post links into Post URLs, one per line.
2. Max comments per post comes set to 50 for the example: empty it for the whole thread, or set your own cap.
3. Click Start and read the comments in the run's Output tab.

Through the API:

{
  "startUrls": ["https://www.reddit.com/r/IAmA/comments/z1c9z/"],
  "commentSort": "top",
  "maxCommentDepth": 2
}

New comments of a launch thread, each hour:

{
  "startUrls": ["https://www.reddit.com/r/technology/comments/1x3b0mi/"],
  "onlyNew": true,
  "watchName": "launch-thread"
}

Like any Apify Actor, it can be scheduled, connected to webhooks, Make, Zapier, n8n, or called by AI agents through Apify's MCP server.

Output

One record for the post, then one per comment. A real comment from our benchmark thread (author replaced, some fields left out):

{
  "type": "comment",
  "id": "pd0smho",
  "url": "https://www.reddit.com/r/technology/comments/1wu4lnz/palantir_ceo_alex_karp_quietly_purchased_37000/pd0smho/",
  "postId": "1wu4lnz",
  "postTitle": "Palantir CEO Alex Karp quietly purchased 37,000 acres of forests in Sweden—and locals found out when hunters lost leases to use the property",
  "parentId": "t1_pd02xdu",
  "parentType": "comment",
  "rootCommentId": "pczzr78",
  "depth": 3,
  "subreddit": "technology",
  "author": "example_user",
  "body": "Not a Swede, but don’t want him there either. ",
  "createdAt": "2026-09-30T15:31:09Z",
  "score": 920,
  "scorePerHour": 8.72,
  "isDeletedOrRemoved": false,
  "scrapedAt": "2026-10-05T00:58:22Z"
}

Field	What it holds
body, score, createdAt	the comment as written, its score and date
parentId, parentType, rootCommentId, depth	where it sits in the tree (0 = a top-level comment)
postId, postTitle	the post it belongs to
isDeletedOrRemoved	true for a comment deleted or removed after it got replies

With threadMarkdown, each post is one thread record: title, counters, and the comment tree as indented Markdown (author, score, date, text). The run summary is the OUTPUT record of the run's key-value store.

AI analysis (optional)

Turn on AI analysis and every post and comment gets an aiAnalysis object next to its own fields: $0.50 per 1,000 analyzed records, every field and signal included. A real result (post "Best and inexpensive CRM for small businesses" in r/CRM, analyzed October 14, 2026, with two labels of our own; some entities left out):

"aiAnalysis": {
  "language": "en",
  "sentiment": "mixed",
  "sentimentScore": -0.2,
  "emotion": "anticipation",
  "intent": "seeking_recommendation",
  "category": "software",
  "topics": ["crm alternatives", "hubspot pricing", "small business software"],
  "entities": [{"name": "HubSpot", "type": "brand"}, {"name": "Zoho", "type": "brand"}, {"name": "Pipedrive", "type": "brand"}],
  "summary": "A user seeks a cheaper CRM alternative to HubSpot that retains key features like lead tracking and reporting for their small businesses.",
  "painPoint": "HubSpot is becoming too expensive",
  "wantsHelp": true,
  "buyingSignal": true,
  "mentionsPrice": true,
  "featureRequest": false,
  "isVendor": false,
  "relevance": null,
  "labels": {"switching": true, "budget": true}
}

Field	What it holds
sentiment, sentimentScore	positive, negative, neutral or mixed, and a score from -1 to 1
emotion	the main emotion (joy, frustration, anger, curiosity, confusion, none…)
intent	what the author wants: question, seeking_recommendation, complaint, praise, purchase_intent, comparison, announcement, self_promotion, discussion, humor
category, topics, entities	a category, up to 3 topics, and the brands, products, companies, people and places named
summary, painPoint	one English sentence, and the problem or frustration the author expresses (or null)
wantsHelp, buyingSignal, mentionsPrice, featureRequest, isVendor	business signals, true or false: asks for help, ready to buy or pay, names a price or budget, asks for a feature, sells or builds what they talk about
relevance	search results only (in Reddit Search Scraper): how much the record is about the query, 0 to 1
labels	your own yes/no labels

Your own labels: up to 5, as {"label_name": "what makes it true"}, for example {"switching": "The author wants to switch from one product to another"}. Included in the price.

• Charged once per record analyzed in full. Deleted, removed, bot (AutoModerator) and empty records are not analyzed and not charged. If an analysis fails, the record is still delivered (and charged as usual), its aiAnalysisStatus is failed with the reason in aiAnalysisError, and the analysis is not charged.
• Any language in, summaries in English. The first ~2,500 characters of a very long text are analyzed.
• Works with the one-record-per-item output format (not the Markdown thread format).
• It adds time: about a minute and a half per 100 records.

Inputs

• Post URLs: reddit.com and old.reddit.com links, redd.it links, share links, gallery or v.redd.it links, or a comment permalink.
• Max comments per post: empty = the whole thread, even with tens of thousands of comments; 0 = the post only.
• Max comment depth: empty = all levels; 0 = top-level comments only.
• Comment sort: Reddit's default order, top, new, controversial, old, Q&A.
• Comments posted after / before.
• AI analysis and Your own labels: the optional analysis described above.
• Output format: one record per item, or each thread as one Markdown record.
• Only new since the last run and Watch name, for scheduled runs.

Pricing

Pay per event:

Apify plan	Comments	Posts
Free	$2.50 / 1,000	$2.50 / 1,000
Starter	$2.40 / 1,000	$2.40 / 1,000
Scale	$2.30 / 1,000	$2.30 / 1,000
Business and above	$2.20 / 1,000	$2.20 / 1,000

AI analysis (optional): $0.50 / 1,000 analyzed records on every plan.

Plus the start: $0.005 per GB of run memory. A full 1,650-comment thread came to about $3.91 on the Free plan in our tests. The Markdown format is charged the same way (one post, plus one comment per comment in the record). Not charged: posts that fail, error records, duplicates, comments outside your dates, comments already returned to a watch. Set Maximum cost per run in the run options and the run stops before going over it.

Limits

• Reddit does not serve deleted comments that have no replies; they are counted in the run summary, not returned.
• Quarantined communities are visible to logged-in accounts only. The Actor reports them and does not log in.

FAQ

How fast is it? A 1,650-comment thread in about 4 minutes.

Do I need a Reddit account or API key? No account, no cookies, no API key. Platform costs are included in the price.

Is it legal? It collects public comments any logged-out visitor can see. Reddit's terms and privacy law (GDPR in the EU) apply to how you use the data.

Does the Actor send anything to Quarra? Only when a run fails or runs out of time: the Actor, its build, the error type, the line of our code where it happened, and the memory and time the run was given, so we can fix it fast. Never your input, your results, your account or the run ID.

Related tools from Quarra

• Reddit Scraper: subreddits, searches, post URLs and users in one Actor.
• Reddit Search Scraper: posts and comments by keyword.
• Reddit Subreddit Scraper: the posts of any subreddit.