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from $2.20 / 1,000 comments

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Reddit Comments Scraper & API: Export Full Comment Threads

Try for free

Scrape Reddit comments from any post link: every comment and reply with text, score, author, date, depth and parent, the whole tree with no comment left out, or the thread as Markdown for LLMs. Date filters on comments, new comments only on a schedule.

Pricing

from $2.20 / 1,000 comments

Rating

0.0

(0)

Developer

Quarra Labs

Actor stats

Bookmarked

Total users

Monthly active users

8 hours ago

Last modified

Categories

Social media

Lead generation

Post URLs

startUrls

Required

Post URLs, one per line: reddit.com and old.reddit.com links, redd.it links, share links, gallery or v.redd.it links, or a comment permalink. Each one returns the post and its comment tree.

Type:array

Max comments per post

maxCommentsPerPost

Optional

Empty = the complete thread, even with tens of thousands of comments. 0 returns the post only. With Only new, each run returns up to this many comments of a thread that earlier runs did not return.

Type:integer

Minimum:0

Max comment depth

maxCommentDepth

Optional

Empty = all levels. 0 = top-level comments only, 1 = plus direct replies, and so on. Deeper branches are not even requested (faster).

Type:integer

Minimum:0

Comment sort

commentSort

Optional

Order of comments inside each thread (Best is Reddit's default).

Type:string

Default:confidence

Options:

confidencetopnewcontroversialoldqa

Comments posted after

commentsPostedAfter

Optional

Only comments written after this date (2026-10-01, or 12 hours), in threads and user histories. The tree is still walked, so a new reply under an old comment is found (reading stops after 10,000 comments in a row outside your dates); only matching comments are saved and charged.

Type:string

Comments posted before

commentsPostedBefore

Optional

Only comments written before this date.

Type:string

AI analysis of every post and comment

aiAnalysis

Optional

Adds aiAnalysis to every post and comment: language, sentiment and score (-1 to 1), emotion, intent (question, recommendation request, complaint, praise, purchase intent, comparison…), category, topics, named brands, products and people, a one-sentence English summary, the pain point, and business signals (wants help, buying signal, mentions a price, feature request, vendor). Search results also get a relevance score (0 to 1) against your query. Charged once per post or comment analyzed in full; deleted, removed, bot or empty records and failed analyses are free. Works with the items output format.

Type:boolean

Default:false

Your own labels (optional)

aiLabels

Optional

Up to 5 yes/no labels of your own, as {"label_name": "what makes it true"}. Each analyzed record gets labels: {label_name: true or false}. Example: {"switching": "The author wants to switch from one product to another", "budget": "The author states a budget"}. Included in the analysis price.

Type:object

Output format

outputFormat

Optional

Thread Markdown: one record per post with its whole comment tree as indented Markdown (author, score, date, text), about 7 times fewer characters than the same thread as JSON. A thread too big for one record (over ~20,000 comments) comes as numbered parts. Same price: 1 post + 1 comment per comment included. Profiles stay normal records.

Type:string

Default:items

Options:

itemsthreadMarkdown

Only new since the last run (monitoring)

onlyNew

Optional

Remember what earlier runs of the same watch returned and output only new posts and new comments (with Include comments, also comments that earlier runs did not return under posts already seen; with Max comments per post, each run adds up to that many of them per thread, oldest included). Nothing already delivered is charged again, even after a run that timed out, was aborted or overlapped another. One run per watch at a time: a second one does nothing and charges nothing. Memory: key-value store quarra-reddit-watch-<this Actor's ID, lowercase> of your account (a watch already kept in quarra-reddit-watch stays there). Set a watch name, then schedule the Actor.

Type:boolean

Default:false

Watch name

watchName

Optional

Name of this watch's memory for 'Only new'. Recommended: runs with the same name share it even when you add or remove sources. Empty: the memory belongs to this exact set of inputs and filters, so adding a source starts a new watch that returns everything again (limits, output format and proxy don't count).

Type:string

Connection

proxyConfiguration

Optional

Connection. Keep the default (automatic). Costs are included in the price.

Type:object

Default:

{
  "useApifyProxy": true
}

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